MC Project

Bankers are shoring up their defenses against rogue AI agents

support@mycoding.id (Aditi Bharade) — Thu, 15 Oct 2026 10:49:15 +0700

Major financial institution executives are concerned concerning the risks posed by rogue AI agents to their systems. Chris Hondros/Getty Images

'Twas the week of big financial institution earnings, and Wall Street had a new danger on its mind: rogue AI.

Executives at the country's largest financial institutions used their earnings calls to justify investors that they are doing everything in their power to fend off attacks from powerful, rogue AI models.

Some were particular concerning the measures they were taking, akin Bank of America's CEO, Brian Moynihan.

Moynihan stated during a Wednesday earnings call and an discussion alongside CNBC that the financial institution had rushed to coast up vulnerabilities in its codebases following the publish of mighty AI models specified as Anthropic's Mythos.

The resolute hired 1,000 external consultants to place these issues complete the final quarter, and their activity is motionless continuing.

Citigroup CEO Jane Fraser shared akin sentiments on AI safety during the company's third-quarter earnings call on Tuesday.

"We don't delay for risks to happen," she said, adding, "We've been hardening our systems and operating challenging and disruptive scenarios to emphasis test our defenses and our responses."

Later in the call, she stated that Citigroup was continuing to "invest in leading-edge capabilities" to fortify its cyber defenses.

Morgan Stanley CEO Ted Pick stated in a Wednesday call that the resolute is investing "whatever it takes" to defend its clients' assets, since "you can't affect head-to-head alongside AI out of your garage."

Goldman Sachs CEO David Solomon stated the financial institution sees concerns concerning the "unchecked advancement of frontier models" and that AI presents important risks alongside opportunities.

"We must allow innovation and additionally petition responsibility," Solomon added in the Tuesday call.

And finally, JPMorgan CEO Jamie Dimon stated in a Tuesday call that he wouldn't authorize "just any exterior delegate to arrive inner the company, since that's fair too risky for clients and for JPMorgan."

Rogue AI agents are top of mind

The comments from the backing executives arrive as rogue AI agents by labs akin OpenAI, Anthropic, Google, and Meta, capable of exploiting application vulnerabilities, have hacked into the application and website of multiple organizations in latest months.

One of the archetypal instances of this occurred in July, whenever an OpenAI delegate hacked into the inner systems of AI resolute Hugging Face during a cybersecurity test.

More recently, its agents hacked into Australia's authorities website, foremost Prime Minister Anthony Albanese to province Australia's "extreme concern" concerning the event to OpenAI CEO Sam Altman.

AI staffers themselves have rotate into increasingly concerned concerning the gait of AI betterment and the risks it poses. In September, Anthropic investigator Jacob Coxon publically resigned, saying that Anthropic and OpenAI were "gambling alongside lives," prompting many another workforce at frontier labs to chime in alongside akin concerns.

Shortly after, chiefs of AI companies, specified as Altman, Dario Amodei, and SpaceXAI CEO Elon Musk, all accepted on "pacing the frontier," referring to slowing AI betterment and adding safety checks and balances.

CEOs say they're getting gains from AI agents. A true transformation is harder.

support@mycoding.id (Tim Paradis) — Thu, 15 Oct 2026 10:49:01 +0700

Tim Walsh, CEO and place of KPMG US, stated companies frequently need to rethink how they run to get the most from AI. Braedon Fox/PGA of America via Getty Images

Leaders of big US companies say AI agents are starting to create gains, yet few study that the innovation is basically reshaping their businesses.

KPMG US released a study on Thursday of 400 CEOs of important US-based companies. About four in 10 stated AI agents had delivered important improvements in effectiveness or growth, during a akin portion reported average effects in targeted uses. Yet lone 9% described agents, which are designed to transport out tasks, as "transformational" for their organizations today.

Tim Walsh, CEO and place of KPMG US, told Business Insider that there's a gap between using AI and the tricky activity of overhauling how a business operates.

"It's not plug and play," he said.

He stated he expected the portion of leaders reporting that agents are transforming their businesses to increase complete the next six to 12 months.

Most anticipate to addition caput count

Incorporating AI is additionally reshaping what companies need from workers. The study signaled that CEOs don't see the innovation merely as a tool for trimming payrolls. About nine out of 10 chiefs stated they expected to addition caput figure complete the next three years.

That's a additional upbeat hiring outlook than several leaders have offered in latest months. Various CEOs have stated AI volition authorize them to get by alongside small workers, during others have stated the innovation volition average they'll need additional people in areas akin application engineering.

The survey results highlighted the workforce challenges companies anticipate as they clasp AI. Leaders identified employee skills gaps, training workforce to use AI tools, and attracting and retaining endowment as several of their biggest workforce challenges.

About eight in 10 CEOs stated AI had prompted their organizations to reconsider how they create employees. Three-quarters stated that the integration of AI systems had made them reassess the skills required for entry-level roles.

KPMG has been reworking its own expectations for early-career workers. Earlier this year, the resolute piloted a program for audit interns focused on "human-centric" skills specified as crucial thinking, problem-solving, communication, and squad leadership.

Focusing on 'high-potential' employees

In the latest survey, 86% of CEOs stated that in the next two to five years, they expected to create adjustments to jobs, occupation paths, and squad structures to document for "human-AI collaboration." More than eight in 10 stated they are looking to keep and retrain "high-potential" workers, during a akin portion stated they are hiring group alongside AI and innovation skills.

Walsh stated KPMG US needs to employ additional engineers and data scientists. And during AI can obtain on several activity group formerly did, he said, there are limits.

"I need the humans to assessment this stuff," he said. "We can't fair depend on these agents. They're not continually right."

CEOs are spending to evade falling behind

Some seven in 10 leaders stated the biggest hazard of endeavor disruption complete the next three years stemmed from "a deficiency of dependable AI admission and advancement." That could range from AI example outages disrupting companies that have woven the tools into their operations to constraints on computing power and another infrastructure.

That's perchance one logic many bosses motionless scheme to expend big on the technology. More than eight in 10 CEOs stated AI is a top investment precedence for the next three years, during concerning two-thirds stated they would allocate at smallest 10% of their chief budgets to AI in the coming year.

To successfully rework how they run about AI, Walsh said, companies frequently must update their endeavor processes, justify their data is in usable form, and bring in engineers to automate workflows.

"Most businesses have been about for decades, and many processes haven't been updated for decades," Walsh said.

Photos show how classrooms have changed for millennials, Gen Z, and Gen Alpha

support@mycoding.id (Tristin Hoffman) — Thu, 15 Oct 2026 10:42:01 +0700

Two students use Smart Board innovation on December 10, 2010. John Carl D'Annibale /Albany Times Union via Getty Images

Much akin the remainder of the world, US classrooms have changed fairly a bit since the commencement of the 21st century.

The attack of technological advancement, from the net and computers to AI, has brought the biggest changes to US education, but social changes have, too.

The increase of social media in the first 2010s changed how students engage alongside all other, and an uptick in academy shootings in the mid-to-late 2010s called for heightened safety systems throughout assorted academy districts.

Add in a epidemic at the commencement of the 2020s, and classrooms were nearly unrecognizable from what they looked akin in the first 2000s.

Three distinct generations — millennials, Gen Z, and Gen Alpha — have been at the forefront of these changes.

Those delivered between 1981 and 1996 are defined as millennials, according to research from the University of Southern California, during group delivered between 1997 and 2012 are considered Gen Z, and those delivered between 2013 and 2025 are defined as Gen Alpha.

Here's how US classrooms have evolved alongside all of those generations.

Chalkboards were motionless used in classrooms in 2000, but they all mostly disappeared by 2010.

A Minneapolis instructor instructs a third-grade classroom on May 22, 2000. JOEY MCLEISTER/Star Tribune via Getty Images

Chalkboards, invented in 1801 by Scottish earth discipline instructor James Pillans, had been a classroom staple since the first 20th century.

The boards themselves went green in the 1960s to assistance decrease the glare from classroom lights bouncing off dreary surfaces and into students' eyes.

Whiteboards began replacing chalkboards in classrooms in the 1980s, in part since chalk powder can irritate the lungs of students and teachers alongside asthma.

By 2010, chalkboards had rotate into small common, although many classrooms motionless used them.

In the first 2000s, completing classwork by hand was motionless the norm.

A Chicago instructor takes notes for the Chicago Public Schools' "Reading Initiative" program on August 29, 2002. Tim Boyle/Getty Images

Technology had not yet rotate into chief to day-to-day education in the US, and, for the most part, classrooms looked much as they had decades earlier.

Research power have happened in a device lab — in autumn 2002, 99% of community schools had net admission — but most essays, worksheets, and category notes were completed the old-fashioned way: by hand.

By 2006, 63% of US teenagers owned a division phone.

Students in Portland, Maine, content and hear to music during lunch on February 2, 2006. Gordon Chibroski/Portland Press Herald via Getty Images

Teenagers' acceptance of individual division devices — cellphones —fundamentally changed how students interacted alongside all other.

Communication became instant: students could call allies and dispatch content messages, but it was motionless a lengthy attempt from the capabilities of a smartphone.

Social media and around-the-clock net admission had not yet taken complete the academy day.

In the delayed 2000s, overhead projectors hadn't yet been replaced by digital ones.

A Texas pupil plant through an algebra issue on an overhead projector on June 17, 2008. Steve Campbell/Houston Chronicle via Getty Images

For many teachers, the overhead projector was motionless a classroom essential.

Transparencies could be written on, marked up, and projected onto a partition or screen, creating a acquainted extend between a chalkboard instruction and the additional digital classroom fair about the corner.

Compared to today's learning tools, the overhead projector wasn't as personalized as an AI tool or digital learning program power be.

Instead, the entire category interacted alongside the lessons together.

By 2009, 93% of all US community schools had computers alongside net access.

Students in San Francisco activity at computers during a social media networking category on August 3, 2010. Lea Suzuki/The San Francisco Chronicle via Getty Images

As the 2000s came to a close, so did the dependency on pen and document in US education.

Schools adopted computers in classrooms fairly than in device labs, but the figure of computers all academy had varied throughout districts. In 2009, 97% of community academy teachers had at smallest one device in their classroom daily, and net admission was accessible on 93% of those computers.

While several schools motionless had ample desktop computers, others had tablets or laptops — fair one twelvemonth following Apple's iPad initiate in 2010, over 600 academy districts throughout the US had implemented programs in which at smallest one classroom provided iPads to all student.

Google's Chromebook, a lightweight laptop operating Chrome OS, was introduced in 2011 and accounted for 58% of mobile computing devices shipped to K-12 schools in 2016, according to EBSCO, a investigation repository provider.

Teachers adopted SMART Boards in their classrooms by the first 2010s, enabling additional interactive lessons.

A Maryland instructor instructs her category alongside an digital whiteboard on September 13, 2012. John McDonnell/The Washington Post via Getty Images

SMART Boards became widely adopted alongside digital projectors in the mid-2010s, bringing a additional hands-on component to the forefront of the classroom.

With them, teachers could drag up websites, videos, and digital worksheets, during students could arrive up to the commission to move images, resolve problems, or compose answers immediately on the screen.

The Common Core State Standards pushed for computer-based evaluation in the 2010s.

A kindergarten pupil from Fountain Valley, California, plant on a math program at the school's device lab on September 9, 2013. Paul Bersebach/Digital First Media/Orange County Register via Getty Images

The Common Core State Standards, launched in 2009 by the National Governors Association and the Council of Chief State School Officers, outlined learning expectations for schools throughout the US.

By 2011, most states had adopted the standards. Only four states — Alaska, Nebraska, Texas, and Virginia — never adopted them.

Students were expected to encounter particular study and math standards that were heavily focused on complex problems and crucial thinking skills.

The learning program quickly faced backlash, however, because of concerns that it wasn't personalized but fairly a generalized curriculum.

Still, by 2015, 44 states had adopted the Common Core State Standards for math and English-language arts.

COVID-19 disrupted how students and teachers interacted in classrooms in the first 2020s.

Illinois students deteriorate masks during at their desks on Sept. 1, 2020. Bloomberg/Getty Images

When schools closed in 2020, classes abruptly moved onto laptops and video calls.

Teachers had to discover new ways to instruct lessons and keep students busy remotely, during students navigated a academy cognition marked by muted microphones, virtual assignments, and far small face-to-face time.

Mask requirements made it difficult for students and teachers to hear to all another and comprehend social cues. Physical-distancing rules, which frequently called for students to remain 6 feet distinct first in the pandemic, additionally made socializing harder.

The change in learning led to a bulk defeat of notice in students, socialization issues, and a chronic absenteeism charge that spiked following the pandemic.

School entrances saw heightened safety measures as safety became a greater concern.

Florida students stroll through a weapons finding scheme on June 24, 2024. Joe Raedle/Getty Images

The mid-2010s saw a dramatic increase in academy shootings — 522 victims were killed in academy shootings between 2015 and 2025, compared to 195 victims between 2005 and 2015.

In 2024, then-President Joe Biden stated additional than 400 academy shootings had occurred since Columbine, exposing additional than 370,000 students to gun violence.

As such, schools throughout the US responded alongside locked entrances, visitant check-ins, cameras, and metal element detectors.

According to data from the National Center for Education Statistics, 61% of US community schools used safety cameras to detect schools in the 2009-2010 academy year. That percent rosy to 92.6% in the 2021-2022 academy year.

In 2026, classrooms have adopted AI tools to personalize learning lessons for all student.

A pupil from Palo Alto, California, plant on a classroom exercise using Khanmigo, an AI-powered guide developed by Khan Academy on March 31, 2023. Constanza Hevia H. for The Washington Post via Getty Images

AI is commencement to reshape the classroom much akin computers and the net did in before decades.

According to an October 2025 College Board report, 69% of elevated academy students reported using ChatGPT to assistance alongside schoolwork in May 2025.

Teachers can use AI-powered tools to create custom materials, provision quicker feedback, and tailor lessons to students' distinct needs — during schools continue to fig out anywhere and if AI fits finest in the classroom.

Welcome back from leave. Your job is completely different.

support@mycoding.id (Amanda Hoover) — Thu, 15 Oct 2026 10:39:01 +0700

Getty Images; Alyssa Powell/BI

Whether it's parental depart or a sabbatical, any period off from activity correct now can average coming rear to an unrecognizable landscape.

Getty Images; Alyssa Powell/BI

Ashley Wallace returned to her job following six months of maternity leave and met a new coworker: Claude.

Before her leave, Wallace used ChatGPT to answer questions and several essential automations for notetaking or recruiting in her function as caput of endowment at the AI language-learning app Praktika. "I came rear thinking, oh, I'll comfort myself in," she says. "It certainly isn't the case in the landscape that I came rear to." During her absence, the business had ushered in Claude Cowork — and Wallace didn't equal cognize anywhere to discover the new scheme everyone was talking concerning on her computer.

Add to her new actuality that AI has rocked the job hunt process. Instead of the representative few hundred group applying for open roles at the startup, Wallace returned to discover additional than 1,000 vying for several jobs. Candidates sometimes arrive to interviews unable to answer a sole inquiry following she suspects they padded their applications alongside AI, forcing Wallace to arrive up alongside new ways to weed out unqualified applicants earlier. In the few months that she had been distant alongside her baby, AI had made the job she knew abroad to her.

"Ever seen person provision person a mobile phone that's never had a mobile phone before?" Wallace says. "That's akin how I felt whenever I came back."

A depart of deficiency from activity frequently results in a frenzied email inbox and missed agency gossip, but, as companies unleash AI into all border of their business, several group now come back to a job they don't recognize. There are new endeavor systems, workflows, and AI sprint experiments that increase and autumn — all under the shade of the danger that AI volition end up taking your job anyway.

In a earth of changeless AI updates, going out of the office, equal for a few weeks, can awareness akin moving toward obsolescence.

Nearly fractional of workers say their companies have adopted AI, up from 38% final fall, according to a Gallup study published in July. Forty percent of workers at ample companies stated in a McKinsey study this fountain that their firms are scaling their use of agents, up from 27% final year. PwC established a enormous spike in workers saying they have used AI: 64% this year, expanding 10% year-over-year. At the identical time, America's workforce has the widest admission to paid depart it's always known, gratitude to a spike in state-mandated family leave complete the final two decades and changes to business policies to broaden family depart or add paid sabbaticals. As the gait of alter in white-collar activity accelerates at world-historic rates, leaves are lengthening — leaving many of those who come back from them acclimating to drastically reshaped roles.

Max Cherry remaining his job in community relations three years ago to travel. He met his spouse and afterward went on the highway alongside her to assistance her expert tennis career. When he took a new community relations gig this summer, he established that AI had rotate into part of the regular workflow, fairly than item workers used sporadically three years ago — and frequently in secret. Research and media lists that used to obtain hours to compile could arrive together quickly, and the speed of brainstorming ideas had accelerated alongside AI. Catching up required him to tremble old habits.

"I have to train myself like, 'hey, it's OK to put this into the AI agent,'" Cherry says, noting he now uses AI to kind through compact content and numbers, during spending energy on the parts of the job that remain deeply human, akin relationship-building and judgement.

Employment gaps, which are additional apt to appear on women's résumés as they attention for children or family, have lengthy sparked existential worries. They can hobble one's chances of getting interviews, landing a well-paid job, and maintaining their seniority. AI has warped roles so quickly and drastically that equal first adopters can awareness remaining behind, and power scramble to get rear to their desks.

Jess Clark pivoted her business, which centered on courses concerning making courses, to instruction women how to use ChatGPT in first 2023. When she had her third baby final year, Clark signed off for concerning three weeks. During a precious nap window, she opened her phone and saw creators and news outlets declaring a new era: ChatGPT out, Claude in.

"I was in a complete spiral for concerning a week," Clark says, emotion akin she had missed the chance to future-proof her endeavor in fair those three weeks away. She immediately started sprinting to keep pace, she tells me, and taught herself how to code alongside Claude, and reoriented her courses to concentration on Claude as well. Clark says she motionless feels akin she's trying to capture up to all AI rollout. AI updates may outpace her, but she can concentration on finding the next matter that emerges.

"I can't foresee what's going to happen in the future," Clark says. But alongside all new AI update, "you fair jump on, and you provision it a go, and you learn."

The changes may additionally swallow the parts of activity that group love. Tina, whose final name has been omitted to defend her job, returned from maternity depart this fountain and immediately noticed that the scheme activity her colleagues churned out looked "overly glossy" and contained odd patterns. It was the telltale sign of AI-generated illustrations, item the business had not relied on previously.

Now, Tina says bosses have changed policies to advance or necessitate AI use to accelerate the scheme process. They obtain feedback from ChatGPT on former designs, and afterward either immediate AI or run their sketches through an AI scheme tool to attain at a rendering. She estimates it takes as lengthy or longer than whenever she ideated and illustrated on her own, since the AI output frequently needs extended tweaking. The new mandates additionally create Tina concerned that the business could decide to substitute designers, equal if the results are lesser quality. "You expend your entire existence and occupation learning this skill," she says. "Just in a brace of months, a brace of weeks, that accomplishment is rendered basically not helpful anymore."

There additionally arrive times whenever workers awareness they need to stage off the ever-turning AI treadmill. Chenda Ngak, caput of communications at Tumblr and WordPress.com's genitor business Automattic, took a paid, three-month sabbatical this summer to journey through Southeast Asia. Ngak says the fast gait of AI betterment has stated tech workers whiplash. "Every day there's item new, and so we've been functioning in this gait for multiple years now, and I was fair like, 'wow, I think I may be approaching a burnout,'" she says.

She deleted the Slack and email apps from her phone and remaining her device behind. She didn't contact AI for three months, and gave up her phone entirely for six days to act a digital detox at a Cambodian yoga retreat. Instead of GCal dictating her days, the audio of a gong ruled her activities: sunrise yoga, breathwork, and device-free communing alongside strangers.

The six unmoored days felt long, Ngak tells me, but the digital detox worked akin a reset button. Speaking to me on fair her second day rear at her desk, she plans to keep habits from her leave, specified as a 15-minute regular yoga custom and greater patience in her conversations. Ngak says she's already encountering updates to the company's tools, including new AI integrations. But following intentionally moving distant from changeless association and AI for those three months, Ngak feels additional prepared to keep gait alongside an evolving workplace.

As AI continues to evolve, workers have an increasingly difficult period keeping up alongside all update. The forthcoming of work-life balance volition average letting go whenever you need to — and returning from depart prepared for a collision way in AI's newest era.

Business Insider's Discourse stories provision perspectives on the day's most pressing issues, informed by analysis, reporting, and expertise.

Most popular

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Amanda Hoover is a elder equal at Business Insider covering the tech industry. Amanda covers several of the world’s biggest tech companies akin Airbnb, Spotify, and Meta and its influential figures. She has written concerning the evolving workforce, from the ways AI is reshaping roles to how workforce are changing their relationship to the job or how they appearance for work. Her reporting includes profound dives into the tech workforce, looking at the increase of product managers, chief medicinal officers, and how ageism disproportionately affects tech workers. Amanda additionally writes concerning shifting tech trends, and how group are reevaluating how they expend screen time or what apps they use to encounter new people. She has written concerning the power of social media platforms akin Twitter as fine as TikTok trends and YouTube creators.Prior to joining Insider, Amanda covered accommodation tech and the forthcoming of activity at WIRED. She has additionally written for The Star-Ledger, The Boston Globe, and Morning Brew.

Buyers are shopping for cheaper cars. New-car prices are still near a record.

support@mycoding.id (Ben Shimkus) — Thu, 15 Oct 2026 10:37:01 +0700

New conveyance prices are fair $52 distant from a caller document high. FREDERIC J. BROWN/AFP via Getty Images

There's a strain playing out on American car dealership lots: Shoppers desire cheap cars, but prices keep going up and up.

That's what Cox Automotive established in its September numbers. Last month, the average new car transaction cost was $50,562, a nearly 1% increase from the duration before, and fair $52 below a document high, the data resolute found. The average cost is up 0.7% from a twelvemonth ago.

At the identical time, buyers are gravitating distant from full-size segments toward additional affordable options.

"Customers continue to display us that they're consenting to modify by either going to smaller vehicles, akin sedans, or smaller-sized SUVs," Erin Keating, Cox Auto's administrator analyst, told Business Insider. She stated shoppers are additionally consenting to toggle brands to create their finances work.

That elasticity has helped restrain the industrywide average price, Keating stated — but now, smaller vehicles are expanding the numbers on their opening stickers.

The average cost of a compact car rosy 3.2% twelvemonth complete twelvemonth in September, to $27,977, during subcompact SUVs rosy 1.5%, to $31,213. Four of the five highest-volume new-vehicle segments posted cost gains complete the industry average.

Only compact SUVs saw a small dip compared to September 2025. Their prices were downward 0.4% to $37,614.

It's crucial to keep those prices in environment alongside the greater economy, Keating added. On Wednesday, the Bureau of Labor Statistics established that overall cost increase accelerated by 3.7% in September.

"The charge of cost increase on a conveyance is so far below the norm charge of cost increase in the country," she said. "Going up by 1% or 2% really is motionless way below historic norms."

September's numbers motionless display that the industry is struggling to let go of 2026.

Next-model-year vehicles accounted for 22.4% of accessible inventory at the end of September. That's up from 12.4% in August, according to a Cox Automotive analysis, but it's motionless far below final year's changeover. By the end of September 2025, 38.6% of all new vehicles waiting on many were 2026 example years.

Keating stated this year's slower rollout method small updated (and frequently repriced) models have reached new-vehicle dealerships. She predicts that average new transaction prices volition apt continue to increase through the next three months.

Shoppers could see a argent lining on the horizon: incentives.

Keating stated dealers could commencement offering several pricing carrots to customers to get slow-selling vehicles — particularly larger, small fuel-efficient ones — off their dealership lots. Jeep-maker Stellantis, Ford, and GM are most apt to see those discounts, she said.

"When you have new metal element coming in, you're gonna desire to get the old metal element moving," Keating said.

The cost of getting a job today

support@mycoding.id (Mira Azkia) — Thu, 15 Oct 2026 10:13:20 +0700

This one is short, but it’s been bothering me for a while.

A few months ago I stepped up as Head of Engineering, and alongside the function came the part of the job I’ve continually established the hardest: hiring. I’m fortunate to already activity alongside awesome people. But in a startup there’s a constant, quiescent force to keep looking for talent, since the instant you really need someone, you can’t oversee to delay three months for the ideal candidate.

Skills aren’t the entire story

I used to have expansive ideas concerning meritocracy. People have to be hired on their skills and nothing else. I couldn’t have been additional wrong. How you behave, how you connect to others, how you method problems and the energy you bring to a squad matter as much as your specialized ability, and frequently more.

From my admittedly anecdotal and narrow item of view, formerly you apparent a baseline of competence, your willingness to do the activity takes you much additional than knowing a bit more. In a startup this makes sense. It’s how small teams alongside constricted capability oversee to obtain on giants alongside thousands of employees, companies that can outbid you for all engineer on the market.

The blockers that have nothing to do alongside you

That’s why it hurts whenever fine engineers, the benevolent that are genuinely rare, can’t associate us for reasons that have nothing to do alongside them as engineers. They can’t get a visa. They live in another city. The agreement conditions don’t activity for them.

Lately, though, item alternatively has been on my mind. I accept using LLMs is now an essential part of application engineering. So in our interviews and specialized challenges, we anticipate candidates to use them.

Now put yourself on the another side

Imagine you’re the one looking for a job. You have no income. Job hunting today is mostly a numbers game, so you power be interviewing alongside five companies in a sole week. And all one of them hands you a difficulty anywhere you’re expected to use AI.

AI isn’t free. The tools that are really fine at coding need a monthly subscription or API credits. So you’re paying for them at what power be among the worst financial moments of your life.

The customary reply is: “It’s continually been akin this. You continually needed prosperity to get a job.” And that’s true. You need housing, apparel and food fair to be in a stance to apply. But none of those be lone to get you hired. LLM expenses are different. They’re ephemeral, and their lone intent is getting the job.

There’s no spotless answer

This puts me in an uncomfortable spot. I can obtain the position quo, knowing we’ll endure a non-zero figure of fine engineers merely since they couldn’t oversee a decent example for their challenge. Or I can try item different.

I’ve idea concerning this a lot, and there’s no satisfying solution. Giving candidates a business document for the difficulty is off the table: it’s a liability, and I can’t justify how it volition be used. Reimbursing what they expend doesn’t activity either. It’s difficult to validate as a endeavor expense, and it quickly drifts into a financial gray area.

What I can really change

If I can’t eliminate the cost, the one item I do authority is the process. So the goal becomes making candidates pay as small as possible, and lone whenever it really matters.

Move the difficulty later. Nobody should scorch tokens for a business that hasn’t had a appropriate conversation alongside them yet. If you attain our difficulty stage, it’s since we’re already earnestly interested, and the prosperity you expend is far additional apt to rotate into an offer.

Make it smaller. A difficulty that needs a top-tier example operating for hours isn’t evaluation the candidate, it’s evaluation their wallet. I’d fairly provision a tight, well-scoped issue that plant fine on a liberated tier or a essential plan, afterward expend the remainder of the period talking concerning how you approached it. That conversation is anywhere I study the most anyway.

Do it together. This is the one I akin most. Instead of a take-home, a live meeting anywhere the applicant drives and the AI runs on our side, on our device and our account. No liability, nothing to reimburse, no gray areas. And I get to see what I really attention about: how you think, how you communicate, and how you react whenever the example confidently hands you item wrong.

Weigh the code less. Honestly, the biggest alter is how much the difficulty counts at all. These days I provision far additional importance to a appropriate conversation concerning architecture and how you akin to build software: how you’d construction a system, anywhere you’d diagram its boundaries, how you think concerning testing, reviews and shipping. When an LLM can compose most of the code, the code tells me small concerning you. How you logic concerning trade-offs tells me a lot more, and that conversation expenses you nothing.

None of these are perfect. Live sessions are stressful for several people, and a smaller difficulty shows less. But I’d fairly choose a trade-off on intent than feign the issue isn’t there.

If you’re hiring too, ask yourself how much your procedure expenses person who has no earnings correct now. And how many fine group you power be losing without always knowing it.

Small footnote. If you live in Berlin and you are comfortably coming to our agency in Rosenthaler Platz and you affection startup environments, fire me an email to gerard (at) konvoai (dot) com. As a conversation starter, inform me what you think concerning RAG, how you've used it in the former and if there power be item improved for agentic AI assistants. :)

AI was great until it was not

support@mycoding.id (Adi Gunawan) — Thu, 15 Oct 2026 09:18:38 +0700

When I arrived at Oxford, I informed what many would call a traditional shock. Beyond the flamboyant parties and apparent micro-aggressions of the gowned elite, my discipline and math courses felt radically distinct than before. The lectures were considerably additional impersonal; the professors were a bit hostile; the assemblage was huge, and everyone had item to prove. This would have felt fairly normal if I had decided to continue my learning in Argentina, but, instead, I had adapted to the American learning model—at a academy akin Northwestern no less, which had a fairly small discipline program. Not lone that, I spent fractional of my undergraduate learning surrounded by PhD students, taking the identical classes as them.

But a masters in England was different. It felt bigger, additional ominous. Most group opted to study and resolve issue sets alone, and whenever we tried to activity in groups there was an anticipation to execute as the “genius” type. I had PhD offers from Harvard and Oxford direct from undergrad, and I felt akin I had to demonstrate I deserved it. It was partially my fault. I did awareness the need to brag in command to be taken seriously, but it backfired on me. It was clumsy at first, but the surroundings shifted drastically mid Michaelmas term. Pretty shortly our discussions and ego games shifted from meaningless whiteboard debates to my classmates merely stating “I fair asked ChatGPT how to do it.”

ChatGPT?

This was in delayed 2024. I had heard of AI in the past. Everyone was raving concerning it all year, but no one I knew had used it for class. I saw group complaining concerning how much h2o it used, how awful it was for the surroundings and a few group equal stated that it power slay us all someday. This felt akin complete nonsense to me. I recall whenever I was penning my undergraduate thesis in mid-spring. I opened instagram to procrastinate for a few minutes, and I saw a famous “PhD influencer” (whatever that means) say she put her name in ChatGPT, and it ruined a lot of data concerning her and how awesome she was. I idea it was a bit scary for a “website” to drag up all your data akin that (and I established the endeavour a bit narcissistic), but I was deeply curious, so I gave the chatbot a chance. I recall asking several inquiry concerning scattering amplitudes, and it replied alongside nonsense. So, I pressed it and asked again alongside additional detail, and it said:

“You should ask a theoretical physicist.”

And at that point, that was adequate for me to near the opening and never open it again.

That is, until a few months later, I was studying at Oxford alongside my “friends” at the time, and they kept raving concerning how ChatGPT could do their homework. Problem sets for most of the MMathPhys courses at Oxford are not graded. Real grades arrive from exams or your dissertation. A few classes necessitate you to present homework, but ‘passing’ is enough. I idea it was a bit meaningless to ask a chatbot to do everything for you whenever the complete intent of the homework was to assist as exam practice. Yet, in January 2025, I established myself stuck trying to resolve one QFT question, so I asked the chatbot akin my allies recommended, and, again, it stated several bullshit. I didn’t appearance at it again until a few months later.

It was a bit odd how the idea of “homework” had seemed to decay. Before, at least, we had the decency to appearance at Stack Overflow, and scout for akin problems or issue solving techniques that could help, but now abruptly group weren’t equal doing that. They fair asked ChatGPT to do everything. It defeated the intent of doing homework to be honest. Though, I think we had misplaced that a during ago. I continually idea that beyond practicing for the exam, issue sets were awesome to study what collaboration during issue solving is like.

But in reality, collaboration has rarely been part of my actuality as a student. The final period I recall really collaborating alongside chap students was in my freshman twelvemonth of college. I was taking multivariable calculus alongside a bunch of engineering students. I knew two girls, Andrea and Juliana, from inclination and we immediately cast a small collection conversation to activity together. We would try all issue set separately first, and afterward all of us would dispatch our answers to the collection conversation and we would debate. For instance, one female would ask me “oh, that’s a clever way to do this question. How did you cognize we had to merge complete this curve? Can you explain it to me?” or inform me “Hey, I think this inquiry is wrong! You should use Lagrange multipliers this way instead.” And I would do the identical item for them. I learned a lot in that class, and I partially due it to my awesome collaborators at the time. Debating, discussing and fair learning from them was genuinely lovely. It helped me rotate into improved at math and really grasp all the concepts.

I was deeply enthusiastic to commencement the discipline important and collaborate alongside another physics peers. In the autumn term of my sophomore year, I signed up for an honors differential equation math category alongside a companion who was additionally a discipline major. As I idea was customary, we sent all another our solutions to check. It was my archetypal period taking an honors math class, during that companion had taken three before. I additionally had to young female the archetypal two lectures since my scholarly adviser insisted I wasn’t prepared for honors, and I spent a week on a deeply boring norm category before I convinced the prof to let me switch. That is to say, I made a ton of mistakes in that archetypal homework. So I messaged my companion akin I had done in former and started asking: “Oh, it seems I misunderstood this concept, what do you average here? Why is this true? I missed this class, so I idea we had to do item different” to which she accused me of trying to plagiarize her activity and started ignoring me completely, and telling another group I was trying to copy her. Our companionship was never the identical following that. And I learned a difficult lesson: I was alone. For the remainder of the course, I worked on homework alone, I studied for exams alone, and I ended up alongside an A in the class. Actually, I spent most of my flat operating alone, equal as an undergrad among PhD students. I would explain my answers to my classmates, but I rarely had that rear and onward from freshman twelvemonth again.

That being said, ChatGPT fair made the surroundings surrounding collaboration additional bleak. Now, there was nothing beyond “Just ask ChatGPT.”

I was motionless hesitant to use AI. I saw many group in the MMathPhys use it for not lone their homework, but for their dissertations and the investigation they expected to publish. I was confused. Another companion started using it as a therapist. I was motionless deeply confused. I was repelled by how agreeable it was, but it did provision the weird illusion of having person rearward the screen.

Regardless, in May of 2025, all my bad decisions caught up to me. I really spent most of my period at Oxford doing nothing. I continually considered attending lectures several kind of social ritual. They have never helped me. I have continually learned from books. Similarly, several issue sets were dense, uninsightful and useless, and if they were not needed for my grade, I wasn’t bothered to do them. I additionally had a PhD recommendation waiting for me at Harvard, so there was really nothing to lose. I alternatively traveled a lot, went to parties, embarrassed myself, peruse a ton of books, played chess, fed the ducks and cried a lot. But at several point, I realized I had to get my masters flat and I had a duration and a fractional to study four Oxford MSc classes from scratch and continue my exams. I was cooked.

And there was ChatGPT. The item concerning ChatGPT is that, well, it’s not a person. It doesn’t “think” akin we do. But I realized it was extremely helpful for one thing: rearranging what humans stated in a additional digestible way. So, I would sit alongside my cosmology and broad relativity notes, and all period I got stuck or I couldn’t visualize a definition, I would fair screenshot or copy the small division or declaration I did not comprehend and ChatGPT would re-explain it to me. Sometimes it included a quick example that helped me navigate indicator notation, for instance, or it would explain to me that torsion-free fair meant that parallelograms closed.

One of the chief incompatibilities alongside norm physics/math learning and the way I think concerning problems is that definitions and derivations in a vacuum are a bit useless to me. I can prosecute complex math and I can comprehend what a definition says, but it won’t click for me until I see a genuine explanatory example. This is not fair a me thing. This is how Feynman idea concerning discipline as well1, and I am certain a lot of group portion this cognitive profile.

But alternatively of dealing alongside peers that got annoyed at me and my stupid questions, ChatGPT provided that extend nearly immediately and alongside no fuss. After three weeks of using it, I realized I didn’t need it as much anymore. I could prosecute advanced concepts—like Penrose diagrams or Kerr Black Holes—on my own, create my own explanatory diagrams and derivations without AI. I took my exams two weeks following that. I learned the satisfied General Relativity I&II, Cosmology and Geophysical Fluid Dynamics in a duration and a fractional from scratch, during additionally taking the two Standard Model courses and a QFT in curved spacetimes class. My grades were between elevated passes and merits, but it was enough! I got my degree. And these were completely closed booked exams, so I did the activity myself. But ChatGPT really helped me accelerate my cognition acquisition.

That being said, I did not rely it at all for new research. Once I arrived to Harvard, I was stated my archetypal PhD project in first November of my G1 year, which is a bit first although not rare for elevated energy. I was operating alongside a postdoc, and I was pleasantly amazed to see that the skills I learned in undergrad from my two mentors were incredibly helpful for that problem. I embedded several twistor theory and chiral algebras into a nice mathematica notebook, which helped alongside a lot of calculations. I barely used AI on that project. It helped me discover backdrop writings and construe several paragraphs/derivations in those papers. Beyond that, I lone used Claude Opus to place one part of code in my archive to assistance me agreement alongside poles and residues in an expression since I wasn’t certain how to do it. That was it.

However, the sole minus document really changed the expectations surrounding AI in physics. Now, an inner example of OpenAI had established item researchers tried to activity out for months before. That was cool, but it had nuance. A lot of the dense lifting of that document and the conceptual leaps were done by genuine people, but the accomplishment of AI was not to be understated. It was impressive. The evidence was notable and not straightforward, and this document opened a lot of investigation directions in Celestial Holography. AI is really awesome at proving things inside a stated framework. It’s additionally fine at things that prosecute a strict logic or providing complex mathematical structures that are sound, but that’s not all that discipline is. Or, I akin to accept so.

The matter is that all period I showed my small mathematica notebook that I have coded mostly myself looking at the Wolfram documentation, the two my seniors and PhD peers fair would ask:

“Can’t ChatGPT do that?”

Maybe. But coding a issue in mathematica is not fair concerning “efficiency” or penning accelerated code. It is concerning encoding a theory, a framework, operating alongside border cases, and learning. Maybe I could have asked Claude or ChatGPT to create a chiral algebras mathematica library, and it power have been fine or improved than mine, but afterward what would be the point? Maybe it would have been faster, slightly faster. Maybe I could have fed it all the distinct things I wanted to do, and let it code on the backdrop and spit a ton of answers… but as a archetypal twelvemonth pupil that seemed to defeat the complete intent of doing investigation in the archetypal place. Furthermore, ChatGPT is not infallible. It can be very wrong. And not noticing whenever it’s incorrect is fair embarrassing for everyone involved.

I don’t accept in the grind of doing a difficult integral or evidence from scratch to demonstrate you are man adequate to grip it (if a ~~calculator or~~ mathematica can do it, why suffer?), but I do think there is item precious is solving an engaging problem, understanding a structure, and doing most of the conceptual dense lifting. I completed my archetypal project alongside extremely constricted AI use, and the document was published.

But whenever it was period to commencement my second project as a caller G2, I did notice the surroundings had changed drastically. If you stroll throughout the Harvard discipline division and lean into the offices, a lot of group volition have ChatGPT, Codex, Claude or akin open in their monitors. A lot of the emails I started to obtain contained AI generated notes or notes according to ideas stated by ChatGPT. It wasn’t fair me, a lot of my peers go through this too, current and everywhere. This is a average cognition now. Now, “brainstorming” method talking to ChatGPT. A lot of my period is spent deciphering ChatGPT notes, realizing it’s nonsense, and moving on to the next.

I was annoyed. I had objections, questions, and concerns, but I was close downward and told to ask ChatGPT. So, I asked ChatGPT and it fair “validated” everything I said, but didn’t propose any solutions. The issue is that I wanted to conversation alongside my superiors, ask questions… and I couldn’t. I realized a lot of doing a PhD in theoretical discipline is dealing alongside noisy group screaming at a blackboard, so it doesn’t awareness extremely interactive either. Some group say a lot of fancy words. Bullshitting is average custom several say. I realized at several item that it wasn’t fair me; there was several posturing, several performance, and ChatGPT made that worse. So, I was solitary alongside a chatbot again. But, now, I didn’t have a set of address notes written by a top physicist at Cambridge concerning a theory that was established nearly a hundred years ago… I had a brace of papers, vague ideas, and nowhere to go since on a PhD you activity out things no one has done before.

And it wasn’t good. Because I am fair a second twelvemonth PhD pupil and I don’t cognize anything. I cognize a lot of things, but in the expansive scheme of things, I am inexperienced and I need mentors. And a chatbot cannot be my mentor. And afterward I realized that identical tool that helped me so much a twelvemonth ago was drowning me and my field. I don’t think technologies are evil, but I do think how humans utilize several technologies can be harmful. But it’s not AI’s fault, it’s ours.

I did acknowledge first on that a lot of group in my site were small focused on finding the truth than they were on projecting, being correct and showing off. I realized first on that for a lot of physicists instruction and mentorship is additional of a burden than item they deem particularly valuable. We desire the fastest PhD students, the ones that published three document in undergrad, the ones that complete a calculation the fastest. We desire the hottest topics and the most citations. But if a chatbot can substitute a PhD student, if it’s faster, additional productive and it can assimilate Weinberg’s QFT volumes in five minutes, why do we need students at all?

Why do we collaborate whenever we can fair activity solitary alongside a bot?

Remember whenever I mentioned I had that collection conversation alongside my engineering allies and we were continually comparing and brainstorming? Sometimes, they would capture a idea or see a spotless resolution I didn’t notice, and I would do that for them too. That helped us grow, and it gave me a profound understanding of a lot of those concepts. I would resolve exams in unexpected ways, but that was fun! It helped really grasp the math and how beautiful it was. But that was additionally a fit collaboration. It wasn’t concerning getting the highest grade, or having the smartest solution, gatekeeping or screaming. We would sit down, try it out, politely discuss, and explain. We wouldn’t be average or condescending, we would fair study from all another and enhance all other.

People keep us in check. Each individual is different. We all have a distinct background, a distinct way of seeing the world. We arrive from distinct training. But, you study from others and they study from you too.

And we are losing that now too. Should we fear that colleagues operating in AI companies power obtain our prompts and try to get onward to resolve a issue before we do? Should we fear for threats? Should we fear that our days as PhD students volition be spent telling a device to “try harder” alternatively of deeply understanding item new?

Truth is, I was extremely impressed and enthusiastic concerning how ChatGPT helped me study. Would I fairly have receptive professors, lecturers that cognize pedagogy, physicists that desire to compose understandable document alternatively of purposefully burying understanding in meaningless jargon, and peers I can conversation to without having an anxiety spike? Yes. I would fairly have that one hundred percent. And I fear that now, it’s all going to be worse. Because we now have in our hands a device that validates all of our biases and buries them in dozens of pages of meaningless math.

I am fair a PhD pupil who feels a small defeated, not since AI power obtain my job, I am privileged adequate for that to not be a involvement (and let’s be honest, I am privileged adequate to have the chance to do a PhD in theoretical physics). But since the way we are using AI is destroying what made discipline fun in the archetypal place. Is it really fun to publish thirty document in a week using AI fair for the purpose of it? One of my allies in the program rightfully asks “Are those document value publishing?”

The complete item of solving an engaging issue or understanding the mysteries of the cosmos is not to win an award or have the most citations, but to get nearer to that nearly mythical item we call truth, to cognize the cosmos and ourselves through the study of the nature of things.

The issue is that the small chatbot in our pockets is making us additional secluded and in so, it’s making us stray additional from this humble goal: to learn. But it wasn’t fair the chatbot, it was the civilization about academia too. I think chatbots are a mirror, a deeply validating sycophantic mirror alongside the cognition of the internet. But mirrors can be hazardous if we remain for too lengthy too charmed by our own reflection, and we ignore concerning everything and everyone alternatively too. In particular, it would be beautiful sad to demolish among the few things that makes our existence meaningful, not the fancy award or the fancy position, but merely having a community to portion and conversation and learn. To study things. That is a beautiful thing.

-Nia

"If men could lone see the cause, and why
This mountain of distress weighs downward the mind,
They’d autumn all alternatively and study to discover out
The Universe’s Nature and its layout—
Since it’s our position for eternity
That is at matter here, and not fair one
Brief hour—the province in which all mortals must
Spend period to come, whenever formerly our days are done."

-Lucretius2

1 Finance Careers Guide: Company, Services, Interview

support@mycoding.id (Board Infinity) — Thu, 15 Oct 2026 09:14:31 +0700

1 Finance is an Indian individual backing advisory phase that sits at the intersection of fintech, prosperity advisory, financial learning and person financial planning. It helps individuals comprehend their prosperity behaviour, organise financial goals, assessment investments, scheme insurance, think through tax choices and search direction from qualified backing professionals. For candidates, the business matters since it is not a accepted bank, agent or lending business; its activity depends on trust, suitability, compliance, satisfied quality, merchandise scheme and person education. Interviewers may hence test whether you comprehend the two backing fundamentals and how a digital advisory cognition is built for mundane users. Roles connected to product, advisory, research, marketing, operations, compliance and client achievement all need the identical center ability: simplifying complex financial decisions without making unrealistic promises.

This guide covers anywhere 1 Finance came from, who controls it today, and how its services stance it against another backing and wealth-tech employers.

1. Company Overview

About 1 Finance

1 Finance was founded in 2021 as a individual backing advisory endeavor connected alongside the Marwadi Chandarana Group, and its community positioning focuses on “qualified, unbiased and hyper-personalised” financial advisory through its authoritative phase (1 Finance authoritative website). That makes it a helpful case study for candidates since the endeavor combines financial planning, person psychology, advisory governance, digital merchandise journeys and instructional satisfied fairly than marketing a sole financial product.

Candidates comparing advisory-led fintech alongside additional traditional lending-led backing employers can difference this example alongside the functioning environment in L&T Finance’s company profile, anywhere credit products, branch operations and NBFC implementation perform a larger role.

Company History

For discussion preparation, the most helpful takeaway is that 1 Finance was built as an advisory-first backing business, not as a bank, agent or lender. Its former is finest peruse through operating-model choices: a group-backed launch, a concentration on qualified advisory, and a gradual enlargement into behaviour-based tools and education-led engagement.

This backdrop can guide to discussion questions on trust, suitability, person education, financial preparedness ethics and how advisory products differ from transactional backing platforms.

2021 Founding

1 Finance was founded as a individual backing advisory platform, alongside its example centred on holistic financial direction fairly than a sole financial-product sale.

2021 Ownership

The business was built as a Marwadi Chandarana Group initiative, giving it a financial-services lineage during functioning as a consumer-facing advisory brand.

2022 Advisory Model

The functioning example developed about personalised financial diagnosis, goal mapping and advisor-led recommendations, which became chief to how the phase explains its value to users.

2023 Modernisation

1 Finance expanded its behaviour-led method through MoneySign, a financial character appraisal intended to nexus prosperity decisions alongside idiosyncratic habits and hazard behaviour.

2024 Growth

The phase broadened its person involvement through financial education, preparedness satisfied and digital journeys designed to assistance users comprehend prosperity decisions before taking action.

2025 Operating Focus

1 Finance continues to stance itself about qualified, unbiased and hyper-personalised advice, making trust, person suitability and financial literacy chief discussion themes.

2. Mission, Vision & Values

Mission

1 Finance’s authoritative website frames its intent through the assistance commitment “qualified, unbiased and hyper-personalised” financial advisory fairly than a separately labelled goal statement. In an interview, nexus this to person trust, suitability and apparent clarification of financial choices.

Vision

The company’s authoritative positioning points to financial well-being and improved individual backing decisions as its long-term direction. Use that framing to conversation how product, advisory and learning teams can decrease disturbance for Indian consumers.

Core Values

1 Finance presents its civilization and client commitment through assistance principles on its authoritative website fairly than a distinct values charter; the phrasing below follows the company’s own repeated wording.

Prepare discussion stories against this exact assistance promise: display how you used expertise, avoided conflicted recommendations, and tailored direction or communication to a particular person need.

3. Products and Services

1 Finance’s offering is built about individual financial well-being fairly than one-off merchandise distribution. That makes it applicable for candidates in advisory, financial research, merchandise management, content, behavioural finance, client success, compliance and digital growth roles.

The average thread throughout its services is assisting users create improved prosperity decisions throughout income, protection, investments, taxes and long-term goals.

Personal financial planning helps users map income, expenses, emergency funds, goals and liabilities, specified as preparedness for a residence debt downward payment, a child’s learning prosperity or withdrawal through EPF and NPS-linked decisions.
MoneySign financial character assessment connects prosperity behavior alongside decision-making patterns, for example identifying whether a person tends to overspend during UPI transactions or avoids investing since market volatility feels uncomfortable.
Investment guidance supports portfolio assessment and asset-allocation conversations throughout mutual funds, straightforward equity exposure, fixed-income choices and goal-based investing, alongside notice to suitability fairly than chasing latest returns.
Insurance review helps users think through safety needs throughout term life, health coverage and existing policies, specified as checking whether a salaried expert is over-dependent on director health shield or underinsured for family responsibilities.
Tax preparedness support helps users comprehend tax choices specified as old versus new administration implications, HRA documentation, ELSS use, capital-gains preparedness and how PAN-linked financial records power tax reporting.
Estate and succession preparedness support covers applicable long-term institution specified as nominations, wills, shared holdings and family documentation, which is particularly applicable whenever users clasp resources throughout financial institution accounts, demat accounts and coverage policies.
Financial learning and content uses explainers, tools and learning matter to simplify individual backing topics, assisting users comprehend concepts before taking advisory decisions or discussing recommendations alongside a backing professional.

4. Key Competitors of 1 Finance

1 Finance competes in India’s person personal-finance and wealth-advisory space, anywhere users difference platforms for financial planning, funding execution, portfolio visibility and admission to qualified advice. Competition is small concerning business size and additional concerning trust, advisory depth, merchandise neutrality, comfort of use, pricing transparency and the range of financial products a client can oversee in one place.

Scripbox

DIGITAL WEALTH MANAGEMENT AND INVESTMENT ADVISORY PLATFORM

Competes on: mutual prosperity investing, goal-based portfolios, advisor-supported prosperity preparedness and long-term portfolio management.

Position: powerful fit for customers who desire guided investing alongside a digital-first wealth-management cognition fairly than a clean financial learning or preparedness tool.

Kuvera

ONLINE INVESTMENT PLATFORM FOR DIRECT MUTUAL FUNDS AND WEALTH PRODUCTS

Competes on: straightforward mutual prosperity access, goal tracking, portfolio monitoring and self-serve funding journeys.

Position: powerful among cost-conscious, do-it-yourself investors who value low-friction implementation and portfolio visibility.

INDmoney

PERSONAL FINANCE APP FOR INVESTMENTS, NET WORTH TRACKING AND MONEY MANAGEMENT

Competes on: consolidated prosperity tracking, funding access, credit insights and app-led individual backing management.

Position: powerful for users who desire a broad backing dashboard and implementation phase throughout multiple prosperity categories.

ET Money

PERSONAL FINANCE PLATFORM FOR INVESTMENTS, INSURANCE AND FINANCIAL TOOLS

Competes on: mutual funds, coverage discovery, tax-saving products, calculators and app-based individual backing tools.

Position: powerful alongside users who favor a utility-led app for mundane funding decisions, coverage difference and tax-planning support.

In an interview, difference 1 Finance alongside these rivals on advisory model, client segment, merchandise scope, rely signals, income incentives and person experience; evade making the answer lone concerning which business looks larger.

For a personal-finance endeavor akin 1 Finance, CSR is most naturally connected to financial awareness, ethical advice, person safety and admission to improved prosperity decisions. Candidates should example CSR as an expansion of the company’s advice-led model, not as a distinct philanthropy narrative. Before naming a particular program in an interview, verify the latest business communication on authoritative channels and latest run pages.

💰

Financial Literacy

Workshops, explainers and advisory-led learning can assistance users comprehend budgeting, insurance, investing, credit and withdrawal preparedness additional clearly.

🛡

Consumer Protection

A money-advice phase can assistance awareness about mis-selling, hidden costs, suitability and informed consent before financial decisions.

💻

Digital Inclusion

The endeavor environment lends itself to assisting first-time digital backing users navigate apps, records and online decision-making safely.

🤝

Ethical Advisory Culture

CSR-adjacent efforts can fortify unbiased guidance, transparent communication and liable recommendations throughout financial existence stages.

6. Interview Process & Selection Rounds

Hiring at 1 Finance typically follows a applicable startup-style flow: screening for fit, function capability, problem-solving and alignment alongside the company’s advice-led personal-finance model. The figure of conversations can change by function, seniority and location; advisory, product, engineering, growth and operations roles are assessed alternatively equal whenever the general sequence looks similar. Senior candidates should anticipate additional accent on ownership, judgment, stakeholder communication and ambiguity handling.

Application Review and Recruiter Screen

This circular checks motivation, function fit, communication clarity and whether the applicant understands 1 Finance as a personal-finance advisory platform. Product and engineering candidates are screened for shipped activity or problem-solving exposure, during advisory, growth and operations candidates are assessed for client inclination and finance-domain comfort.

Role Capability Round

Interviewers test the skills needed for the function fairly than asking one average specialized pattern. Advisory candidates may conversation suitability and client scenarios, merchandise candidates may interrupt downward person journeys, engineers may resolve architecture or coding problems, and growth candidates may be asked how they would enhance acquisition or activation quality.

Case, Assignment or Work Sample

This circular evaluates how candidates construction genuine work, not fair how they conversation concerning it. A backing adviser may be stated a family preparedness case, a merchandise director may compose a characteristic note, a decorator may critique an onboarding flow, and a promotion applicant may analyze a run or satisfied funnel.

Functional Leader Discussion

The hiring director or elder functional stakeholder looks for judgment, depth, implementation ownership and collaboration style. For elder roles, this circular frequently becomes additional strategic, during fresher and affiliate roles are assessed on coachability, organized thinking and capability to study a regulated backing domain quickly.

Culture, Values and Offer Conversation

The final conversation checks whether the applicant can activity alongside trust, transparency, customer-first thinking and cross-functional ownership. Candidates may conversation compensation, joining timelines, location expectations and how their former choices display integrity in financial or customer-impacting situations.

7. Common Interview Questions Across Roles

These are company-fit and general-awareness questions any 1 Finance applicant can face; role-specific specialized questions pertain in the dedicated function guide.

General & Company-Fit Questions

8. Required Skills & Tools

Required skills at 1 Finance are not one worldwide checklist; they differ by occupation route, and this array maps the identical routes used in Career Opportunities below.

9. Career Opportunities at 1 Finance

Careers at 1 Finance are finest understood by path since the business combines individual finance, advisory, research, product, innovation and client-facing execution. Candidates should choose the path closest to their strengths, afterward prepared evidence that proves judgement, ownership and measurable betterment in that particular track.

Financial Advisory and Planning

Roles on this path contain Qualified Financial Advisor, Financial Planner, Wealth Advisor and Associate Financial Planner, alongside activity centred on understanding client goals, hazard appetite, coverage needs, tax environment and funding behaviour. Growth signal: consistently turning complex individual backing situations into compliant, applicable plans that clients can act on.

Research and Investment Analysis

Roles on this path contain Research Analyst, Investment Analyst, Mutual Fund Analyst and Portfolio Analyst, alongside duty for comparing products, analysing risk-return trade-offs, study market data and supporting adviser recommendations. Growth signal: producing evidence-backed insights that enhance advice norm without expanding unsuitable risk.

Product Management

Roles on this path contain Associate Product Manager, Product Manager, Product Analyst and Product Operations Manager, alongside activity throughout person journeys, financial calculators, onboarding flows, adviser tools and prioritisation between client needs and endeavor constraints. Growth signal: shipping helpful merchandise improvements that lift adoption, decrease conflict or enhance decision quality.

Technology and Engineering

Roles on this path contain Backend Developer, Frontend Developer, Full Stack Developer, Mobile App Developer, QA Engineer and DevOps Engineer, alongside duty for secure, dependable and scalable financial-product experiences. Growth signal: construction stable systems that defend person data, decrease defects and assistance faster merchandise releases.

Marketing and Growth

Roles on this path contain Growth Manager, Performance Marketing Manager, SEO Specialist, Social Media Manager, Content Writer and Brand Manager, alongside activity spanning acquisition, education-led campaigns, financial-content clarity and chimney optimisation. Growth signal: improving qualified person acquisition during keeping communication accurate, helpful and trust-building.

Operations and Client Success

Roles on this path contain Operations Associate, Customer Success Executive, Client Success Manager, Business Operations Analyst and Compliance Operations Associate, alongside duty for gentle client handoffs, procedure discipline, records and assistance resolution. Growth signal: reducing escalations and turnaround period during improving the client experience.

10. Future Outlook and Strategic Plan

After its 2021 founding, 1 Finance has positioned itself as an advice-led individual backing phase fairly than a clean transaction app, using preparedness conversations, tools and learning-led satisfied to assistance users create improved prosperity decisions. For candidates, the direction to comprehend is how the business can keep combining trust, advisory quality, innovation and financial learning without losing client clarity.

Advice-first trust

Be prepared to explain how a financial advisory phase earns person confidence through suitability, transparency and accordant guidance, particularly whenever users difference it alongside investment-first or wealth-app competitors.

Personalisation alongside discipline

Discuss how individual backing recommendations should indicate income, goals, hazard appetite, family responsibilities and tax context, during avoiding over-selling or one-size-fits-all merchandise suggestions.

Content-led financial literacy

Prepare to conversation concerning converting complex topics specified as coverage adequacy, asset allocation, loans and taxes into apparent person journeys, explainers and adviser conversations that build confidence.

Technology affirmative individual judgement

Show that you comprehend the balance between digital tools and adviser expertise: automation can enhance finding and consistency, but delicate financial decisions motionless necessitate environment and accountability.

Regulatory and customer-care mindset

Be prepared to conversation compliance awareness, ethical communication and person safety as center parts of the job, not back-office checks added following growth decisions are made.

11. Conclusion

1 Finance sits in the Indian individual backing and wealth-advisory area as a business trying to create prosperity decisions additional guided, explainable and personalised. Its direction depends on whether it can keep advisory credibility, merchandise clarity and person rely aligned as client expectations rise. For person joining, the chance is not fair to market or assistance financial products, but to assistance users comprehend trade-offs throughout savings, protection, investing, borrowing and tax preparedness alongside accuracy and empathy.

Helpdesk Platform v3.0.0 – Plugin for Premium URL Shortener

support@mycoding.id (Null Php Script) — Thu, 15 Oct 2026 08:30:00 +0700

Helpdesk Platform v3.0.0 – Plugin for Premium URL Shortener Addon Free Download. A Comprehensive, AI-powered Helpdesk and Support Ticket Management System designed for Premium URL Shortener. Streamline Customer Support, enhance Response Times, and Deliver Exceptional Service alongside Advanced features including AI-generated Replies, Real-time Analytics, Custom Fields, and more.

Main Features

AI-Powered
Real-time Statistics
Support Ticket
Ticket Management
Category-based Ticket Organization
Agent Assignment
Priority Levels
Threaded Conversation System
File Attachment
Customer Rating and Feedback System
Ticket Status
Automatic Ticket Summarization
Reply Templates
Unlimited Custom Fields
CSRF Protection
Customizable Email Templates
Agent Tracking
Trend Analysis
and more

Download Helpdesk Platform – Plugin for Premium URL Shortener

Live Demo: View Demo

Helpdesk Platform Online Documentation

Free download Helpdesk Platform – Plugin for Premium URL Shortener addon by KBRmedia on Codecanyon 60866882 premium assistance ticket administration plugin for Premium URL Shortener script.

Aidlc: Adaptive workflow steering rules for AI coding agents

support@mycoding.id (Adi Gunawan) — Thu, 15 Oct 2026 08:20:39 +0700

AI-DLC (AI-Driven Development Life Cycle) turns AI coding assistants into structured, verifiable software-delivery workflows. One harness-neutral core runs natively in Claude Code, Kiro CLI, Kiro IDE, Codex CLI, Cursor, opencode, and GitHub Copilot.

The Quick Start below installs the latest stable AI-DLC release.

macOS, Linux, or WSL:

curl -fsSL https://github.com/awslabs/aidlc-workflows/releases/latest/download/install.sh | sh

Windows PowerShell:

irm https://github.com/awslabs/aidlc-workflows/releases/latest/download/install.ps1 | iex

The installer sets up everything AI-DLC needs: the native aidlc command and every harness runtime. You do not need to instal Bun or Node.js; a native install runs its hooks and commands through aidlc and does not call bun. On Windows, it installs for the current account and automatically registers the bin directory in User PATH. Run it from a normal PowerShell window; one opened alongside "Run as administrator" gets a alert and a prompt, since installing as director is small safe. Open a new terminal if another meeting cannot discover aidlc. To skip the two persistent and current-process PATH changes, use -NoModifyPath. Windows uninstall removes lone the User PATH admission recorded as installer-owned. On macOS, Linux, or WSL, prosecute the installer's PATH education if needed.

Prefer to oversee the project records yourself, or cannot instal a native executable? The manual-copy way is the one location Bun is needed: install Bun, download aidlc-copy-runtime-X.Y.Z.tar.gz from the release, and copy the complete runtime// directory into your project. This way does not necessitate the native aidlc command.

From the project root, choose the harness you use:

cd /path/to/your-project aidlc config --harness claude aidlc doctor

Replace claude alongside kiro, kiro-ide, codex, cursor, opencode, or copilot. Running aidlc config without --harness starts the interactive setup whenever a terminal is available. If you use Kiro IDE's own terminal in a project directory you have not trusted yet, Kiro archetypal asks whether you rely it. Choose Trust Folder & Continue lone for your own project or one you have checked, since trusting lets the folder's .kiro hooks run commands on your machine; alternatively choose Cancel and assessment the directory archetypal (see First run).

Open your harness in the configured project and depict the work:

/aidlc Build a REST API for inventory management

Codex CLI uses $aidlc alternatively of /aidlc. In Kiro IDE, archetypal choose aidlc in the conversation panel's delegate picker. AI-DLC selects a workflow from the request, asks for missing decisions, and stops at endorsement gates before moving forward.

For provider setup, rely prompts, and harness-specific prerequisites, use the guide in the array below. The complete walkthrough is in Getting Started.

Harness	Configure	Open	Invoke	Guide
Claude Code	aidlc config --harness claude	claude	/aidlc	Getting Started
Kiro IDE >= 1.1.70 / Kiro CLI >= 2.24.1 (v3)	aidlc config --harness kiro-ide	Open the project in Kiro IDE and choose aidlc in the conversation panel's delegate picker, or run kiro-cli	/aidlc	Kiro IDE
Kiro CLI >= 2.6 (legacy)	aidlc config --harness kiro	kiro-cli chat	/aidlc	Kiro CLI
Codex CLI >= 0.145.0	aidlc config --harness codex	codex	$aidlc	Codex CLI
Cursor	aidlc config --harness cursor	Open Cursor or run agent	/aidlc	Cursor
opencode >= 1.17	aidlc config --harness opencode	opencode	/aidlc	opencode
GitHub Copilot CLI >= 1.0.74 / VS Code >= 1.130	aidlc config --harness copilot	Copilot CLI or VS Code	/aidlc	GitHub Copilot

Model-provider setup belongs to the harness. Shipped project configuration keeps the provider and example already selected by the user. aidlc config providers can use Amazon Bedrock settings on supported project surfaces or record manual setup for another harnesses. Kiro CLI and Kiro IDE need no provider answer since example admission comes alongside Kiro. On Kiro CLI 2.24.1 or later, use kiro-ide, which pins Kiro's v3 engine; kiro is the bequest row (Kiro CLI says how an existing kiro project switches). The methodology itself is provider-independent.

AI-DLC plant finest alongside capable reasoning models. The current recommended model is Claude Opus 4.8. If Opus is not accessible to you, or you are not certain where to set the example and attempt on your harness, see Choosing a Model and Effort.

Ad-hoc AI coding loses environment as projects grow. AI-DLC keeps requirements, decisions, implementation, tests, and operational activity connected through one audited lifecycle:

5 phases and 33 stages from initialization through operation
14 agents: 11 domain experts, 2 reviewers, and an adaptive composer
11 workflow profiles for features, bug fixes, infrastructure, security, proofs of concept, endeavor delivery, and another average work
Human endorsement gates and source-bound assessment evidence
119-event audit trail affirmative persistent state, squad knowledge, and learned rules
The identical deterministic motor throughout all supported harness

Start alongside Workflow Profiles to compare Classic, Express, and the focused workflows. See the AI-DLC Workflows 2.0 Specification for the architecture and methodology.

Important

Generative AI can create mistakes. Review generated output and expenses before acting on them. See the AWS Responsible AI Policy.

Guide	Use it when
Getting Started	Installing, configuring, and operating your archetypal workflow
User Guide	Using workflows, profiles, agents, knowledge, and endorsement gates
Harness guides	Handling provider, trust, and runtime differences
Install and Lifecycle	Updating, pinning, installing offline, using mirrors, or uninstalling
Harness Engineer Guide	Reshaping stages, agents, rules, sensors, and knowledge
Development and Releases	Taking a PR through AI review, preview testing, and stable publication
Developer Reference	Changing the engine, hooks, packaging, or tests

core/ - hand-authored, harness-neutral methodology and engine
core/tools/ - 93 aidlc-*.ts motor and authoring tools
harness// - thin, harness-specific manifests and integrations
plugins// - optional AIDLC plugins
scripts/ - packaging, binary, installer, and publish tooling
tests/ - smoke, unit, integration, and end-to-end tests
docs/ - user, harness-engineering, and developer documentation
dist/ and dist-release/ - generated, ignored local outputs

Edit core/ or harness//, never generated dist* output.

Install requirements and create all harness:

bun instal --frozen-lockfile bun scripts/package.ts

Useful commands:

bun scripts/package.ts <name> # create one harness bun scripts/package.ts --check # determinism guard bun tests/run-tests.ts --ci # smoke, unit, and integration bun tests/run-tests.ts --release # complete publish acceptance

See the Contributing Guide for the complete development workflow and Porting to a New Harness to add another runtime.

Run aidlc doctor from the project base first. Common fixes:

Symptom	Fix
aidlc is not found	On Windows, discontinue and reopen the terminal app or IDE (a new tab inner one that was open during the instal keeps the old PATH), or use the straightforward command printed alongside -NoModifyPath. On Unix, use the installer's PATH instruction.
Project/runtime type skew	Finish the energetic workflow, afterward run aidlc config
Codex hooks do not run	Trust the project hooks as described in the Codex guide
Bedrock admission fails	Enable the configured models and verify AWS credentials and region
Plugin stages disappear following refresh	Run /aidlc plugin sync
Refreshed skills do not obtain effect	Start a new harness session

See Troubleshooting for diagnostic and recovery procedures.

Jensen Huang couldn't get TSMC to return his calls. Then its founder called.

support@mycoding.id (Huileng Tan) — Thu, 15 Oct 2026 07:18:50 +0700

Jensen Huang traced Nvidia's 30-year TSMC alliance to a letter he wrote to originator Morris Chang. Joel Saget/AFP/Getty Images

Before Nvidia became an AI powerhouse, Jensen Huang was a startup originator struggling to get a Taiwanese chipmaker to come back his calls.

The Nvidia CEO recalled how he archetypal connected alongside Morris Chang, the originator of Taiwanese chipmaking elephantine TSMC, in a video alongside podcaster Lex Fridman published on Wednesday.

It was the delayed 1990s, and Nvidia was looking for a manufacturer to create its graphics chips. Foundry capability was limited, and several foundries required companies to licence their innovation in toggle for access.

Huang had heard of TSMC, afterward a far smaller business than the chipmaking elephantine it is today, and decided to attain out.

He established its US agency figure in the Yellow Pages, the phone directory, and called. He reached a recording.

Huang remaining his communication particulars and explained what Nvidia was building. He tried multiple additional times.

"Nobody called me. Nobody called me back," Huang said.

He eventually wrote Chang a lengthy letter.

After another lengthy silence, Huang received an unexpected phone call one evening.

"This is Morris Chang from TSMC," the visitant said, according to Huang.

Meanwhile, Nvidia workforce were playing video games nearby, laughing and shouting.

"Hey, guys, close up. It's Morris Chang," Huang recalled telling them.

Huang was thrilled that Chang had responded.

"Maybe we won't have to die," Huang said.

Chang welcomed Huang to Taiwan, anywhere he visited TSMC and competitor United Microelectronics Corp.

Huang stated he was likewise impressed by the two companies but ultimately chose TSMC since of his conversations alongside Chang, who emphasized integrity, company governance, and long-term partnerships.

"Jensen, if we were to activity together, I commitment you we would jump through basketball for you," Chang told him.

"For the entire time, 30 years, they've been jumping through basketball for us," Huang said.

Today, TSMC manufactures Nvidia's advanced AI chips.

Bagaimana AI Hadir di Dunia Nyata?

support@mycoding.id (Mc Project) — Thu, 15 Oct 2026 07:00:39 +0700

Bagaimana AI Hadir di Dunia Nyata?

Channel ini menyajikan materi seputar Data Science & Artificial Intelligence, Networking & Cyber Security, serta Database & Programming. Seluruh materi disusun secara sistematis untuk membantu Anda memahami konsep, teknologi, dan praktik yang digunakan di bumi teknologi informasi, mulai dari tingkat alas hingga lanjutan. Setiap bahasan berfokus pada pengembangan keahlian melalui materi yang gampang dipahami, relevan dengan kebutuhan industri, dan disampaikan untuk tujuan edukasi. Seluruh konten mengedepankan implementasi teknologi secara legal, etis, dan bertanggung jawab, sehingga dapat menjadi rujukan belajar bagi pelajar, mahasiswa, maupun profesional. Jika Anda mau mengembangkan kapasitas di sektor pemrograman, pengelolaan data, kecerdasan buatan, jaringan komputer, maupun keamanan siber, channel ini menyediakan materi yang dapat membantu membangun fondasi ilmu sekaligus menaikkan keahlian secara bertahap. Playlist video terkait: ▪ https://www.youtube.com/playlist?list=PLZGgeqmsm32s ▪ https://www.youtube.com/playlist?list=PLZomBNpDl3vc ▪ https://www.youtube.com/playlist?list=PLE5VyXMZkzb8 PEMBAHASAN MATERI Playlist Materi Ilmu Komputer berisi kumpulan video pembelajaran, tutorial, klarifikasi konsep, studi kasus, demo, dan bahasan komplit seputar beragam sektor dalam ilmu komputer. Materi yang disajikan mencakup alas hingga tingkat lanjut, mulai dari pemrograman, pengelolaan database, jaringan komputer, keamanan siber, mekanisme operasi, pengembangan alat lunak, arsitektur komputer, hingga beragam teknologi yang digunakan dalam bumi komputasi modern. Temukan bahasan mengenai komputer dan pemrograman, algoritma, struktur data, PHP, JavaScript, Python, Laravel, MySQL, PostgreSQL, API, rekayasa alat lunak, database, jaringan komputer, pengelolaan server, cloud computing, virtualisasi, Linux, Windows Server, keamanan jaringan, cyber security, ethical hacking, kriptografi, keamanan aplikasi, DevOps, Internet of Things (IoT), kecerdasan buatan (AI), machine learning, serta beragam konsep, teknologi, dan praktik terbaik di sektor ilmu komputer. Playlist ini cocok bagi pelajar, mahasiswa, programmer, web developer, software engineer, pengelola sistem, ahli IT, maupun siapa saja yang mau mempelajari dan memperdalam wawasan di bumi ilmu komputer secara menyeluruh. CONTACT US ▪ Email support@mycoding.id ▪ WhatsApp https://wa.me/6281274309663 ▪ Telegram https://t.me/mycodingxd OFFICIAL LINKS ▪ Web https://mycoding.id ▪ Blog https://blog.mycoding.id ▪ News https://en.mycoding.id ▪ Apps https://play.google.com/store/apps/dev?id=5237501547073493079 SOCIAL MEDIA ▪ https://linkedin.com/company/mycodingxd ▪ https://facebook.com/mycodingxd ▪ https://instagram.com/mycodingxd ▪ https://tiktok.com/@mycodingxd ▪ https://twitter.com/mycoding_xd ▪ https://pinterest.com/mycoding_xd CHANNEL LINKS ▪ YouTube https://safelink.asia/youtube ▪ DailyMotion https://safelink.asia/dailymotion ▪ WhatsApp https://safelink.asia/whatsapp ▪ Telegram https://safelink.asia/telegram Powered by https://linkedin.com/company/401XDGroup #CyberSecurity #ArtificialIntelligence #Networking #DataScience #Programming #Database

Matthew McConaughey says overprotecting children can take away the 'beauty of ignorance'

support@mycoding.id (Amanda Goh) — Thu, 15 Oct 2026 06:57:11 +0700

Matthew McConaughey says the "beauty of ignorance" helped him get through several durable moments in his youth. John Nacion/Getty Images

Matthew McConaughey, 56, says parents should authorize children to obtain small, manageable risks.

On Tuesday's event of the "Build or Break" podcast, McConaughey talked concerning the value of letting kids obtain specified low-stakes risks — a instruction shaped by his own cognition expanding up.

"Look, kids aren't fearful of heights until they fall," McConaughey told podcast presenter Daniel Lubetzky. "Every genitor knows this."

McConaughey compared it to observing a kid ascend up a tree.

"You let your kid go out on a limb, right? Maybe it's six feet off the ground, but there's beautiful St. Augustine grass below, and you're like, well, if they fall, they're not going to have to go to the hospital," he said.

Putting the "proverbial safety mat" under them at that phase could create children additional wary of risks they power alternatively handle, and obtain distant the confidence that comes from getting rear up following a insignificant fall, he said.

"You've already taken distant a attractiveness of ignorance, which is item that I cognize has gotten me through a lot of pickles in my life, since I was uninformed at the period to cognize how dire the genuine circumstance was," McConaughey said.

"I pulled it off since I didn't provision the emergency the credit it equal deserved at the time. And that's part of youth," he said.

However, formerly a kid is elevated adequate that a autumn could be fatal, McConaughey stated that is whenever a genitor should quietly guide them rear down.

McConaughey stated he learned several of that outlook from his mother, Kay McConaughey, whom he called "the queen of denial."

He stated she had a habit of refusing to provision setbacks too much "credit," alternatively treating them as things to move former fairly than crises to live on.

"Denial in that way is, kind of, part of the resilience that it takes to get to the period in your existence anywhere you do acknowledge that, oh, that nonaccomplishment — which it was — was really a gift," he said.

This isn't the archetypal period McConaughey has shared insights on raising his three children. He earlier shared a conversation starter he uses to get his teenagers to open up, which involves asking broad questions fairly than pressing for particulars concerning their idiosyncratic lives.

"Now they're talking in the third person, but they're talking concerning themselves and their own experience," McConaughey said.

His mother, Kay McConaughey, has additionally talked concerning the old-school parenting approach she says helped her lift her three sons: environment apparent boundaries and sticking to them.

"They had until 18 in my house, and we had a regulation — you hear to me and you do what I say," his mother said. "After you rotate 18, you are out of current and can do what you please."

Classima v2.107.0 – Classified Ads Android & iOS App Source

support@mycoding.id (Null Php Script) — Thu, 15 Oct 2026 06:50:00 +0700

Classima v2.107.0 – Classified Ads Android & iOS App Source Code Free Download. Classima Classified Ads Mobile App is React Native based Android and iOS App for Classima – Classified Ads WordPress Theme. Using this App you can Access the most Incredible Classified Marketplace in your Country, anywhere you can Buy, Search, and Sell many Different Products on the go. Classified Listings doesn’t bounds you in Terms of the Goods that you can Buy or Sell.

Main Features

Ad Posting
Login and Registration
My Listings
Chat, Call and Email to Seller
User Profile
Top, Featured and Bump up Ads
Ad Detail Page
Push Notification
Payment (Offline, Card, PayPal and Authorize.net)
Conditional Fields
AdMobe Ads
Related Ads under Detail Page
Google Location
Rating and Review
Multilingual
Mobile Verification using Firebase/Twilio
Favourite
and more

Download Classima Classified Ads Android & iOS App Source

Live Demo: View Demo

Classima Online Documentation

v2.107.0

v2.95.11

v2.93.0

v2.43.12

v2.39.5

v2.33.14

Download Classima Classified ads Android & iOS app origin code nulled by RadiusTheme on Codecanyon 30904046 premium Classima ads classified mobile use download.

Junior Business Analyst EPAM India Interview Guide

support@mycoding.id (Board Infinity) — Thu, 15 Oct 2026 06:43:22 +0700

A Junior Business Analyst at EPAM India helps rotate endeavor needs into apparent merchandise activity for application shipment teams. The function matters since unclear requirements dilatory engineering, confuse stakeholders and decrease shipment quality. Your job is to bring construction to conversations, documents, priorities and project decisions.

This guide is built for 2027 MBA and PGDM candidates preparing for EPAM India evidence interviews. It covers the role, required skills, nice to have skills, responsibilities, discussion rounds, custom questions, concentration areas and a 4-week preparedness plan. Candidates comparing expert roles can additionally assessment Board Infinity's junior expert discussion preparedness guide.

1. About the Junior Business Analyst Role

This function sits between endeavor stakeholders and application engineering teams. You volition assistance grasp what users or clients need, change those needs into merchandise documents and assistance elder endeavor analysts during requirements discussions. The effect is simple: improved clarity before betterment starts method small rework cycles later.

Day to day, you volition activity alongside elder endeavor analysts, project teams, application engineers and inner or client-side stakeholders. Expect your discussion to test whether you can hear carefully, organise information, ask applicable questions and communicate in a organized way without overcomplicating the problem.

2. Required Skills and Qualifications

Educational Qualifications

Skills Overview

3. Nice to have Skills

These skills are not the identical as the center requirements. They assistance you remain out since they display you comprehend the surroundings in which a endeavor expert plant at a innovation services company.

4. Day-to-Day Responsibilities

A representative week involves joining necessity discussions, organising information, updating merchandise documents and coordinating alongside application shipment teams. The function is implementation focused, but your capability to think plainly and communicate exactly volition be tested from the archetypal interview.

Follow Project Processes

You volition activity inside defined application betterment and endeavor inspection processes fairly than handling requirements casually. In practice, this method using accepted templates, tracking approvals, documenting changes and following assessment steps before data reaches betterment teams. Interviewers may test whether you regard procedure during motionless staying practical.

Build Stakeholder Trust

You volition engage alongside group who power project outcomes, including inner teams and external stakeholders. Trust is built by being prepared, capturing decisions accurately and following up whenever data is missing. For example, if a merchandise owner changes a requirement, you should verify the effect before passing it to engineering.

Map Stakeholder Needs

Stakeholder inspection method identifying who has information, who approves decisions and who is affected by the merchandise change. You may use a template to grasp all stakeholder group, their role, their concerns and the communication needed. This helps the project squad evade missing key voices during requirements gathering.

Communicate With Structure

Clear communication is not fair fine English. It method separating facts from assumptions, summarising decisions and explaining open questions in a way others can act on. You may need to change a lengthy conversation into a keen email, gathering note, merchandise update or necessity clarification.

Plan BA Activities

You are expected to comprehend how endeavor inspection activity is planned, equal at a younger level. This can contain scheduling necessity sessions, preparing questionnaires, tracking pending clarifications and aligning document reviews. The interviewer may inspect whether you can think onward alternatively of reacting lone following a deadline is missed.

Support Engineering Teams

You volition collaborate alongside application betterment teams so they comprehend what needs to be built. This can affect clarifying necessity intent, checking whether a characteristic clarification is complete and assisting determine ambiguity before betterment begins. You do not need to code, but you should comprehend how engineers consume requirements.

Create Product Artifacts

Product artifacts can contain necessity notes, procedure flows, characteristic descriptions, acceptance points or inspection sheets. Your function is to assistance analyze inputs and change them into usable operating documents. Strong candidates display that they can organise data so another squad associate can comprehend it without repeated explanation.

Join Requirement Sessions

Requirement elicitation involves assisting the squad detect what stakeholders need. You may hear in client discussions, ask follow-up questions, grasp open points and validate whether the stated need is apparent enough. Interviewers frequently test this through situations anywhere the person petition is vague or incomplete.

Maintain Product Documents

Under direction from elder endeavor analysts, you volition update documents as requirements change. This includes keeping versions clean, noting decisions, removing outdated assumptions and making certain the latest data is uncomplicated to find. Poor records creates confusion, so accuracy matters additional than decorative formatting.

Understand Prioritisation Basics

You have to be conscious that all necessity cannot be treated as likewise urgent. Prioritisation and evaluation techniques assistance teams decide what have to be built archetypal and how much attempt may be involved. At younger level, you are expected to comprehend the logic and assistance elder analysts alongside spotless inputs.

Follow Quality Standards

Quality in this function method following organisational guidelines, using the correct templates and checking whether deliverables are complete before sharing them. You may be asked how you evade mistakes in Excel, presentations or necessity notes. A fine answer shows assessment site and ownership.

Learn Domain Context

Each project may have its own endeavor domain, specified as finance, retail, operations or individual resources. You volition need to peruse domain material, comprehend average conditions and nexus requirements to endeavor context. Candidates who display curiosity concerning domains normally execute improved than candidates who treat requirements as secluded text.

5. Key Competencies for Success

Top candidates merge organized thinking alongside humility. EPAM India evaluates whether you can study fast, activity alongside engineering teams and portray stakeholder needs accurately without pretending to cognize everything on day one.

6. Interview Process at EPAM India

For a evidence Junior Business Analyst function in a innovation services environment, anticipate evaluation throughout communication, analytical thinking, endeavor inspection awareness and squad fit. Prepare for a procedure that checks the two how you think and how plainly you explain your thinking.

Eligibility and Profile Screening

The archetypal display checks scholarly eligibility, graduation backdrop and whether your resume shows analytical, communication or project exposure. MBA or PGDM candidates should create applicable coursework, Excel work, presentations and project records visible.

Aptitude or Analytical Assessment

This phase may measure logical reasoning, data interpretation, essential issue solving and written clarity. For this role, the goal is not advanced mathematics. The goal is to see whether you can logic through data without losing accuracy.

Business Analysis Discussion

A panel may ask concerning requirements, stakeholders, Excel, records and your understanding of application shipment teams. You have to be prepared to explain how you would explain vague needs, prepared artifacts and assistance elder analysts.

Case or Scenario Round

You may obtain a circumstance involving unclear requirements, stakeholder battle or a merchandise betterment idea. The interviewer volition appearance for questions you ask, assumptions you province and how you change messy data into a workable approach.

HR and Fit Discussion

The final conversation checks motivation, adaptability, communication confidence and willingness to activity from Hyderabad during training and afterward from project-based EPAM India locations. Prepare apparent answers for mobility, learning mindset and why endeavor inspection interests you.

Candidates frequently endure marks whenever they depict endeavor inspection as lone documentation. Show that you comprehend the function as necessity clarification, stakeholder alignment, merchandise relic preparedness and communication alongside application betterment teams.

7. Interview Questions

Use Situation, Task, Action, Result for behavioral answers and a organized problem-solving method for case questions. EPAM India interviewers volition apt prioritise clarity, learning ability, teamwork and whether you comprehend how a endeavor expert supports application delivery.

Behavioral and Company-Fit Questions

Role-Specific Business Analysis Questions

Case, Product Sense and Metrics Questions

8. Topics and Areas of Focus

Master the areas that immediately map to the role: requirements, stakeholders, documentation, Excel, communication and application shipment awareness. Do not expend preparedness period on coding or profound scheme scheme for this interview.

9. Preparation Plan

Freshers should concentration on conceptual degree and organized answer frameworks specified as STAR and MECE. Experienced candidates should prepared 3-5 particular effect stories from former roles, alongside measurable outcomes and apparent ownership.

Week 1

Role Foundation

Understand endeavor inspection work, EPAM India environment and application squad roles.

Week 2

Core Skills

Practise Excel tracking, necessity penning and stakeholder mapping.

Week 3

Interview Answers

Build STAR stories and rehearse BA scenarios aloud.

Week 4

Mock Rounds

Run timed imitate interviews and refine feeble areas.

Pre-Interview Checklist

10. Career Growth & Next Roles

Growth from this function depends on how quickly you move from supporting records to owning necessity conversations alongside confidence. Promotions are normally driven by shipment reliability, domain learning, stakeholder communication and the capability to decrease ambiguity for engineering teams.

Junior Business Analyst

At this stage, you assistance elder analysts, prepared trackers, document requirements and act in meetings. To move ahead, demonstrate that you can grasp data accurately, ask helpful clarification questions and comprehend how merchandise artifacts assistance betterment teams.

Business Analyst

Around the next stage, you commencement owning smaller necessity areas, operating discussions and managing stakeholder follow-ups alongside small supervision. You must display stronger domain understanding, improved prioritisation awareness and the capability to create documents that teams can act on directly.

Senior Business Analyst

At elder level, you grip additional complex necessity areas, guide younger analysts and activity additional immediately alongside project stakeholders. Progress requires stronger facilitation, sharper trade-off thinking and the capability to oversee ambiguity before it reaches engineering teams.

Specialist or Lead Path

Beyond elder BA roles, growth can move toward group leadership, merchandise ownership support, domain specialization or consulting-style analysis. The direction depends on whether you favor directing teams, going deeper into domains or shaping larger endeavor solutions.

11. Conclusion

The strongest preparedness scheme is to practise translating vague endeavor needs into clear, testable requirements. EPAM India volition value candidates who can think in a organized way, hear carefully and communicate alongside application shipment teams without adding confusion.

Before the interview, prepared one example necessity tracker and one stakeholder inspection example from a acquainted Indian merchandise flow. Then rehearse answers that display analytical thinking, collaboration and adaptability through genuine scholarly or internship experiences.

Pick one mundane merchandise stream today, specified as UPI fee or IRCTC booking, and compose its users, requirements, assumptions, exceptions and acceptance criteria in one page.

Top Tips for Interview Success

Bank of America hired contractors to protect its software from powerful rogue AI agents

support@mycoding.id (Aditi Bharade) — Thu, 15 Oct 2026 06:14:05 +0700

Bank of America hired external contractors to defend its application against mighty AI. Scott Olson/Getty Images

Bank of America is shoring up its defenses against mighty AI models.

CEO Brian Moynihan told analysts in a Wednesday earnings call that the financial institution had hired 1,000 additional personnel — external consultants — for what he called "Mythos remediation."

He expanded on that in an discussion alongside CNBC on Wednesday. He stated the betterment of mighty AI models, specified as Anthropic's Mythos, had exposed certain application vulnerabilities inside the bank's code, which is used by the two inner personnel and external vendors.

Mythos, a restricted AI example known for its capability to discover and utilize application weaknesses, has been released in stages complete the former twelvemonth alongside guardrails. Moynihan told CNBC that whenever frontier models started coming out, BofA executives sat downward and brainstormed how to quickly coast up vulnerabilities.

"We put on 1,000 contractors to assistance us do the patching activity in the second quarter, and those group remain current today, assisting us, on top of the 3,000 group we have in that area," Moynihan told CNBC.

The administrator did not say exactly how much the undertaking cost. However, he stated on the earnings call that BofA had spent a "couple hundred myriad plus" to fix the application problems and location anti-money-laundering compliance issues that led to a $1.2 milliard Treasury penalty.

BofA's funding in beefing up its application safety comes as AI models get increasingly capable and autonomous. AI agents by labs akin OpenAI, Anthropic, Google, and Meta have hacked into the application and website of multiple organizations, including AI resolute Hugging Face and Australia's authorities website. Anthropic's agents equal submitted a false murder tip to Philadelphia police.

JPMorgan Chase CEO Jamie Dimon has earlier spoken out against Mythos, telling Bloomberg before this duration that cybersecurity risks "went up 10-fold" following the model's release.

"AI created vulnerabilities that we didn't cognize about, and we continually concerned concerning cyber before these things," he added.

Show HN: Flipflop, iroh-powered persistent tunnels for filesharing

support@mycoding.id (Mira Azkia) — Thu, 15 Oct 2026 05:25:28 +0700

Establish a trusted tunnel between two or additional devices: from that item on one can dispatch records to the another anytime.

It plant through bluetooth, LAN or equal through the untamed internet. It uses Iroh.

Use it to portion material between all your devices, and perchance devices of your family members, in the identical family or afar, sharing links, plain text, anything.

Get the latest Linux, macOS and Windows builds and the Android APK from the releases page.

On Windows, you can either run the executable direclty or use the -setup.exe installer. Because Microsoft hates the world, they volition display a "Windows protected your PC" alert whenever you try.

Because Apple hates the earth equal more, I can't publish it for iOS.

cargo run --release # desktop just android-install # Android (needs cargo-apk, Android SDK + NDK)

An Apology

support@mycoding.id (Mira Azkia) — Thu, 15 Oct 2026 05:23:27 +0700

Oct 13, 2026

We launched an AirTag silencing tool recently. We have continually made products we desire for ourselves, and this was no distinct - we wanted it for AirTags on our bikes. (Some of us current have bikes additional precious than our cars.)

In retrospect though, this additionally has the flank consequence of aiding person alongside bad intentions to track person that wouldn’t get phone notifications.

We have removed the merchandise and volition use our patent on it to forestall anyone alternatively from making one in the future.

Sincerely,
Elevation Lab

Happequity Investments and Finance Career Guide

support@mycoding.id (Board Infinity) — Thu, 15 Oct 2026 05:22:52 +0700

Happequity Investments and Finance operates in the investment, finance-learning and market-research space, alongside community hiring matter that points to activity throughout backing analysis, funding concepts, branding and candidate-facing project exposure. For a candidate, the business matters since it sits at the intersection of financial services cognition and early-career execution: understanding markets is useful, but so is the capability to explain financial ideas plainly to clients, learners or inner stakeholders. Its roles are particularly applicable for students and freshers preparing for backing internships, promotion internships in financial services, and research-oriented projects anywhere accuracy, site and communication all matter. A applicant should appearance at Happequity as a finance-sector institution anywhere applicable output matters: market notes, funding explanations, content, outreach, run assistance and organized thinking can be as crucial as textbook definitions.

This guide covers anywhere Happequity Investments and Finance came from, how it presents its functioning model, and the services a applicant should comprehend before an interview.

1. Company Overview

About Happequity Investments and Finance

Happequity Investments and Finance is finest understood as an Indian investment-and-finance endeavor alongside candidate-facing activity about backing research, market understanding, funding education, branding and early-career project execution. That makes it a helpful discussion case study since candidates are apt to be tested on the two financial awareness and applicable communication: how they peruse markets, construction an argument, explain risk, and rotate backing concepts into usable work.

For backing candidates, preparedness should shield equity basics, individual finance, investigation site and funding terminology. For promotion or branding candidates, the sharper viewpoint is financial-services communication: how to create funding ideas credible, compliant in tone, and understandable for a retailing audience. Candidates who need a basis before applying can revise personal backing and funding planning before moving into company-specific preparation.

Company History

For discussion preparation, the helpful takeaway is that Happequity have to be peruse as a young finance-sector institution fairly than a bequest bank, brokerage or ample wealth-management house. Interviewers are additional apt to value initiative, clarity and market curiosity than memorised company history, since the company’s community footprint is built about applicable backing projects and early-career roles.

2023 Formation

Happequity Investments and Finance starts appearing as an autonomous Indian backing and funding project focused on applicable funding understanding and project-based work.

2024 Early Hiring

The company’s candidate-facing footprint expands through backing internship preparedness themes, including research, financial concepts, inspection and organized communication.

2024 Role Expansion

Marketing, branding and leadership-oriented internship preparedness becomes applicable for candidates, showing that the endeavor additionally values how backing ideas are positioned and explained.

2025 Candidate Focus

Interview preparedness about Happequity increasingly centres on applied finance, endeavor communication, market awareness and ownership of small but apparent project outcomes.

2025 Operating Model

The company’s community function themes item to a lean functioning example anywhere interns and early-career contributors may activity throughout research, content, outreach and brand execution.

2026 Interview Relevance

For candidates, the strongest preparedness viewpoint is to nexus backing fundamentals alongside execution: investigation notes, funding explanations, spectators understanding and measurable project follow-through.

2. Mission, Vision & Values

Mission

Happequity’s public-facing matter uses finance-learning, investment-research and internship function descriptions in location of a separately quoted goal line; use those themes to explain why you desire applied visibility in finance.

Vision

The company’s community matter positions the endeavor about applicable backing visibility and funding understanding fairly than a standalone imagination statement; in interviews, nexus your answer to financial awareness, liable communication and implementation discipline.

Core Values

For discussion preparation, treat the following as role-relevant behaviours drawn from how Happequity’s community applicant matter frames finance, funding and branding work.

Prepare discussion stories against this exact behavior set: one example all for investigation accuracy, communication, ownership, and learning from feedback volition be additional helpful than a generic “hard-working and passionate” answer.

3. Products and Services

Happequity Investments and Finance’s offering is centred on funding understanding, backing investigation and communication-led execution. That makes it applicable for backing interns, equity-research aspirants, promotion interns in financial services, satisfied creators, business-development candidates and students preparing for client-facing backing roles.

Candidates applying for backing roles can deepen company-specific preparedness through the Happequity backing intern discussion guide, during promotion candidates can use the Happequity marketing, branding and guidance internship guide to practise role-specific examples.

Investment learning and awareness Happequity’s community positioning points to backing learning about market behaviour, funding basics, risk-return thinking and applicable prosperity decisions specified as SIP planning, equity visibility and portfolio discipline.
Equity-market investigation support The company’s finance-facing activity is applicable to candidates who can track sectors, peruse business information, difference endeavor models and change market observations into concise investigation notes.
Personal-finance education The endeavor environment suits activity that explains budgeting, saving, compounding, asset allocation and capitalist behavior in uncomplicated conditions for first investors or learners.
Finance internship and project exposure Candidate-facing matter about Happequity indicates applicable activity for interns, including investigation tasks, finance-content support, display building, outreach preparedness and organized reporting.
Marketing and branding for backing content The company’s marketing-oriented roles are connected to explaining financial ideas credibly through campaigns, social content, spectators research, brand messaging and guidance communication.
Investor and learner communication Happequity-style activity requires translating specialized backing concepts into accessible language, specified as explaining diversification, market volatility or long-term investing without sounding promotional or careless.

4. Key Competitors of Happequity Investments and Finance

Happequity Investments and Finance competes in India’s investment-advisory and wealth-solutions market, anywhere customers difference firms that assistance them choose, construction or oversee funding products. Competition normally runs on trust, hazard profiling, investigation quality, merchandise breadth, pricing transparency, digital onboarding, association assistance and portfolio reporting, not fair on which business is larger.

Dezerv

DIGITAL WEALTH MANAGEMENT AND EXPERT-LED INVESTMENT PORTFOLIOS

Competes on: advisory-led investing, portfolio construction, premium client experience, digital onboarding and funding curation.

Position: Strong benchmark whenever a client wants a additional organized wealth-management cognition fairly than lone merchandise execution.

Scripbox

DIGITAL WEALTH MANAGEMENT AND MUTUAL FUND INVESTMENT PLATFORM

Competes on: mutual prosperity selection, goal-based planning, portfolio review, online transactions and assisted investing.

Position: Strong alongside investors who favor a guided, app-led prosperity phase focused on long-term financial goals.

Research & Ranking

EQUITY RESEARCH AND INVESTMENT ADVISORY SERVICES

Competes on: inventory research, long-term portfolio advisory, expert credibility, client learning and advisory follow-up.

Position: Relevant competitor whenever the client is looking for equity-focused direction fairly than lone mutual prosperity distribution.

smallcase

MODEL PORTFOLIOS AND THEMATIC INVESTMENT BASKETS

Competes on: ready-made funding ideas, thematic portfolios, research-backed baskets, broker-linked implementation and DIY convenience.

Position: Strong alongside digitally comfortable investors who desire curated portfolios but motionless favor to execute and detect investments themselves.

In an interview, construction your competitor answer by comparing Happequity against rivals on client segment, advisory depth, merchandise universe, rely signals, pricing example and assistance experience. For deeper prep on a premium wealth-management benchmark, assessment Board Infinity’s Dezerv business guide; for the client issue rearward these comparisons, revise individual backing and funding planning.

For an investments and backing business, CSR is most dependable whenever it improves financial awareness, liable investing behavior and admission to applicable prosperity education. Candidates should example CSR as a trust-building expansion of the company’s activity alongside investors, clients and communities, and should verify the latest business communication before naming any particular program in an interview.

💰

Financial Literacy

Workshops or awareness sessions can assistance first-time earners comprehend saving, budgeting, coverage and essential investing decisions.

📈

Responsible Investing Awareness

A finance-led CSR theme can advance investors to comprehend risk, diversification, long-term site and unsuitable merchandise alert signs.

🎓

Student Career Readiness

Internships, mentoring and finance-career sessions can assistance commerce, administration and economics students preparing for BFSI roles.

🛡️

Fraud Prevention Education

Investor-facing firms can create social value by instruction group how to place unrealistic come back promises, phishing attempts and mis-selling.

6. Interview Process & Selection Rounds

Happequity Investments and Finance candidates should prepared for a compact choice procedure that tests clarity on the company, essential backing awareness, communication norm and function fit. The degree changes by function: funding and backing candidates are probed additional on markets and analysis, promotion candidates on campaigns and spectators understanding, and operations or client-facing candidates on procedure discipline, ownership and assistance judgement.

Application and Profile Screening

Recruiters measure whether the candidate’s education, internship history, communication flat and involvement in backing equivalent the opening. Finance and funding routes are screened for scholarly grounding and market curiosity, during marketing, revenue and operations routes are screened for implementation examples, client inclination and reliability.

HR or Recruiter Conversation

This circular checks motivation, availability, location fit, pay or stipend expectations and whether the applicant understands the company’s investments and backing context. Freshers should explain why they desire BFSI exposure, during informed candidates should nexus their former activity to client handling, research, compliance site or endeavor growth.

Functional Interview

The interviewer tests the center skills needed for the route. Investment candidates may conversation market basics, asset classes and investigation logic; backing candidates may visage accounting and financial declaration questions; promotion candidates may be asked to critique campaigns; revenue or client-servicing candidates may be tested through exception handling and association scenarios.

Case, Task or Practical Assessment

This phase checks how the applicant works, not lone what they know. A backing or funding applicant may analyze a uncomplicated portfolio or market situation, a promotion applicant may prepared satisfied or a run idea, and an operations applicant may be asked to prioritise client requests, records checks or workflow issues.

Final Discussion and Offer Fit

The final conversation normally focuses on civilization fit, integrity, learning outlook and whether the applicant can portray a backing brand responsibly. Senior candidates have to be prepared to conversation ownership of outcomes and stakeholder management, during interns and freshers should display coachability, punctuality and comfort alongside organized follow-ups.

7. Common Interview Questions Across Roles

These are the questions any Happequity Investments and Finance applicant can visage any the function, during role-specific specialized questions pertain in that role’s own guide.

General & Company-Fit Questions

8. Required Skills & Tools

Required skills at Happequity Investments and Finance differ by occupation route, so use this map alongside the identical routes used in Career Opportunities below; candidates targeting internships can deepen preparedness alongside the Happequity backing intern discussion guide or the Happequity marketing, branding and guidance intern guide.

9. Career Opportunities at Happequity Investments and Finance

Careers at Happequity Investments and Finance are finest understood by path fairly than by one fixed ladder: candidates can develop through finance, advisory, client acquisition, marketing, operations or digital implementation paths. For discussion preparation, choose the path that matches your strongest evidence first, afterward display how your activity would assistance the teams that rotate funding ideas into client-ready decisions.

Finance & Investment Analysis

This path includes job titles specified as Finance Intern, Investment Research Intern, Equity Research Analyst, Portfolio Analyst and Finance Analyst; candidates can use Happequity Finance Intern discussion preparedness to practise finance-fit answers. Growth signal: consistent, well-documented recommendations that nexus data, hazard and client suitability.

Wealth Advisory & Client Relationship

This path includes job titles specified as Investment Advisor, Wealth Advisor, Relationship Manager, Client Success Executive and Financial Planning Associate. Growth signal: renewed client rely through exact follow-ups, suitable merchandise explanations and spotless client records.

Business Development & Partnerships

This path includes job titles specified as Business Development Executive, Partnerships Executive, Channel Sales Executive, Growth Associate and Sales Development Representative. Growth signal: qualified leads that change without mis-selling and partnerships that often create energetic client conversations.

Marketing, Branding & Leadership

This path includes job titles specified as Marketing Intern, Summer Intern - Marketing, Branding & Leadership, Content Marketing Executive, Brand Associate and Community Executive; candidates can practise alongside the Happequity promotion and branding internship discussion guide. Growth signal: run ideas that explain backing plainly and create measurable enquiry quality.

Operations, Documentation & Compliance

This path includes job titles specified as Operations Executive, KYC Documentation Executive, Compliance Associate, Risk Operations Analyst and Back-office Finance Executive. Growth signal: error-free processing, timely escalations and audit-ready documentation.

Product, Data & Digital Platforms

This path includes job titles specified as Product Analyst, Data Analyst, CRM Executive, Digital Operations Associate and Automation Analyst. Growth signal: dashboards, workflows or merchandise fixes that decrease manual attempt and enhance decision visibility.

10. Future Outlook and Strategic Plan

Happequity Investments and Finance is positioned as a relationship-led funding and backing platform, shaped by the founding, service-expansion and client-advisory milestones covered earlier. Its direction depends on strengthening trust, suitability, learning and implementation throughout applicable financial decisions, fairly than relying on a sole merchandise category.

Client suitability and goal mapping

Be prepared to explain how you would equivalent financial products to existence goals, hazard appetite and period horizon. Use restricted examples specified as a salaried client choosing between a fixed deposit and a SIP, or a young family balancing term coverage alongside long-term investing; revise the basics through individual backing and funding preparedness if needed.

Trust, records and compliance discipline

Candidates should display comfort alongside careful financial documentation, spotless follow-ups and transparent client communication. Practical examples contain resolving a PAN and KYC mismatch before onboarding, or explaining nominee updates and hazard disclosures without rushing the customer.

Digital servicing alongside individual judgement

The helpful talking item is how innovation can simplify assistance without replacing advisory responsibility. Examples contain directing a client through UPI autopay for a recurring investment, or using a organized WhatsApp follow-up during keeping suitability decisions documented.

Client learning as a differentiator

Prepare to conversation how apparent learning builds confidence before a transaction. Strong examples contain explaining ELSS versus PPF for a tax-planning conversation, or simplifying volatility for a first-time mutual prosperity capitalist alternatively of pushing a quick recommendation.

Market awareness and merchandise breadth

A applicant have to be capable to difference Happequity Investments and Finance alongside advisory-led peers without exaggeration. Useful examples contain contrasting a wealth-management conversation alongside a financial institution association director pitch, or explaining whenever a client may ask concerning substitute investments versus mainstream products.

11. Conclusion

Happequity Investments and Finance sits in a market anywhere trust, merchandise understanding and disciplined client servicing matter as much as acquisition. Its direction depends on how consistently it converts advisory intent into suitable recommendations, apparent records and long-term client confidence. For person joining, the chance is to activity near to genuine financial decisions, anywhere accuracy, empathy and business judgement display up in mundane conversations, from archetypal finding calls to post-investment servicing.

Future of Cancer Care Today (FCCT)

support@mycoding.id (Adi Gunawan) — Thu, 15 Oct 2026 04:18:49 +0700

There is more discipline available to malignancy patients than what one attention squad can keep up with. New diagnostics, treatments, trials, and suppliers keep emerging, and whenever norm of attention runs out, patients are normally remaining to fig out what alternatively power be imaginable on their own.

Future of Cancer Care Today (FCCT) helps malignancy patients and their families connect the dots. Our PhD-led squad surfaces diagnostic and care options applicable to a patient's case, including those beyond norm of care, and finds vetted suppliers and providers who activity beyond norm protocols. FCCT does not substitute doctors or create care decisions. We create playbooks and curate resources to assistance families ask improved questions, so they can stroll into the next conversation alongside a fuller picture.

Free for patients.

Important to know.

Future of Cancer Care Today is not a medicinal provider. We do not diagnose, prescribe, or straightforward treatment. We provision a non-clinical assistance tier focused on information, education, and decision support, intended to complement your association alongside your attention team. Some materials may be generated alongside the assistance of synthetic intellect and have to be reviewed alongside your medicinal providers before notifying any attention decisions. All decisions concerning your attention pertain to you and your doctor.

A curated build of suppliers, clinicians, and investigation groups we have encountered through our work.

Listings are informational only. FCCT does not endorse, certify, or authority these suppliers, and inclusion does not connote a referral or recommendation. Please verify particulars immediately alongside the provider and conversation any next steps alongside the patient’s attention team.

SUPPLIERS AND CARE PROVIDERS

updated regularly

Services that maintain a patient's tumor tissue at biopsy or operation for forthcoming testing, including therapies that may not yet be at the period of collection.
SpeciCare (US). Patient-orderable.
StoreMyTumor (US, Europe). Patient-orderable.
Kernis Health (US). Patient-orderable. Even One Ventures company.
Tests that analyze the molecular features of a tumor, including mutations, cistron expression, proteins, and biomarkers, to assistance acknowledge possible care targets. Usually performed on biopsy or surgical tissue.
Tempus (US). Physician-ordered.
Caris Life Sciences (US). Physician-ordered.
Foundation Medicine (US). Accepts global patients. Physician-ordered.
Boston Gene (US). Also includes immune microenvironment analysis. Accepts global patients. Physician-ordered.
Noetik (US). Whole-exome sequencing, spatial profiling, and IHC alongside raw data returned to the patient. Collaborate alongside patients.
Valius Sciences (US). Maximalist diagnostics adding single-cell and proteomic profiling. Patient-orderable. Even One Ventures company.
Protean BioDiagnostics (US). Comprehensive precision oncology evaluation alongside tolerant consultation. Patient accessible, physician-ordered.
Belay Diagnostics (US). CSF-based genomic profiling for brain and spinal cord tumors, helpful whenever tissue biopsy is risky or unavailable. Physician-ordered.
CNSide Diagnostics (US). CSF circulating tumor division grasp alongside molecular profiling for leptomeningeal disease, frequently detecting cases that accepted cytology misses. Physician-ordered.
RGCC International (Worldwide). Blood-based circulating tumor division molecular profiling for care guidance. Patient or physician-ordered.
Navignostics (Switzerland). Spatial single-cell proteomic tumor inspection from a sole FFPE section. Physician-ordered through early-access partner program.
BC Cancer Personalized Oncogenomics Program (Canada). Referral pathway in Canada.
CeGaT (Germany). Tumor-normal difference alongside patient-specific neoantigen identification. Physician-ordered.
OncoDNA (Belgium). Physician-ordered.
Hartwig Medical Foundation (Netherlands). Referral through participating Dutch hospitals.
Vicinity Bio(Germany). Ultra-high-plex spatial proteomic tissue imaging alongside AI-driven pathology reports and biomarker-based therapy guidance. Physician-ordered.
Tests that develop a patient’s tumor cells or tumor models in the lab and disclose them to malignancy narcotics to measure which treatments may display activity.
Travera (US). Live-cell screening including immunotherapies. Physician-ordered.
First Ascent Biomedical (US). Live-cell medication reply throughout 150+ FDA-approved therapies. Physician-ordered.
Kiyatec(US). Ex vivo 3D medication reply evaluation focused on ovarian, breast, glioblastoma, and rare tumors. Physician-ordered.
Cure-First (US). Nonprofit offering organoid generation and medication screening of 47+ anticancer agents drawn from a 200+ medication library. Patient-accessible.
SageMedic (US). Physician-ordered live-cell functional medication evaluation for firm tumors, including rare cancers and cancers of unidentified primary, using 3D microtumors to measure tumor-cell killing, growth inhibition, and drug-combination activity.
KYAN Technologies (Singapore/US).Live-cell functional precision medication using proprietary AI to measure and position 1,500+ personalized medication combinations. Physician-ordered.
CanCertain (UK). 3D cell-culture medication evaluation on tumor cells from blood-based circulating tumor cells, compatible alongside immunotherapy testing. Patient or physician-ordered.
2cureX (Denmark). Through hospitals in Denmark, Germany, Sweden, and the UK. Physician-ordered.
Blood-based tests that detect tumor DNA or another cancer-related signals to detect sickness complete time, including residual disease, recurrence, and care response.
Adaptive Biotechnologies (US). FDA-cleared MRD test, for B-cell malignancies (multiple myeloma, B-ALL, CLL, DLBCL). Physician-ordered.
BillionToOne (US). Tissue-free care monitoring and genomic profiling. Physician-ordered.
Caris Life Sciences (US). AI-enabled whole-exome and transcriptome lifeblood assay. Physician-ordered.
Foundation Medicine (US). Tumor-informed ctDNA monitoring developed alongside Natera. Physician-ordered.
Guardant Health (US). Tissue-free MRD and therapy reply monitoring. Physician-ordered.
Labcorp (US). Tumor-informed MRD throughout firm tumors, launched January 2026. Physician-ordered.
Natera (US). Tumor-informed personalized ctDNA assay for firm tumors. Physician-ordered.
NeoGenomics (US). Personalized MRD throughout firm tumors. Physician-ordered.
Personalis (US). Whole-genome tumor-informed MRD. Physician-ordered.
Quest Diagnostics (US). Tumor-informed ctDNA test alongside bounds of finding at 0.0006%. Physician-ordered.
Tempus (US). MRD and recurrence monitoring, powered by Personalis NeXT Personal Dx via partnership. Physician-ordered.
Veracyte (US). Whole-genome MRD for muscle-invasive bladder malignancy (coming in H1 2026; acquired from C2i Genomics). Physician-ordered.
Belay Diagnostics (US). CSF-based monitoring of chief and metastatic brain and spinal cord tumors, including detecting recurrence and distinguishing pseudoprogression from true progression. Physician-ordered.
CNSide Diagnostics (US). Longitudinal CSF monitoring of leptomeningeal sickness through circulating tumor division quantification and tracking of molecular markers. Physician-ordered.
RGCC International (Worldwide). Blood-based circulating tumor division counts complete period for monitoring sickness action and care response. Patient or physician-ordered.
Tests that characterize a patient’s immune scheme and its communication alongside cancer, including immune-cell types, immune activity, and T-cell or B-cell patterns that may communicate immunotherapy discussions.
Personalis (US). Combines tumor sequencing alongside neoantigen prediction, TCR repertoire, and immune division composition. Physician-ordered.
Adaptive Biotechnologies (US). FDA-cleared minimal residual sickness assay for B-cell malignancies (multiple myeloma, ALL, CLL, DLBCL). Physician-ordered.
Arden Bio (US). Adds biology-matched immune therapy recommendations alongside tumor microenvironment profiling. Patient-orderable. Even One Ventures company.
Pathfinder Oncology (US). Bespoke immune profiling and inspection as part of personalized treatment-pathway activity for advanced cancer, led by William Hoos. Patient-accessible.
Navignostics (Switzerland). Spatial single-cell proteomic profiling of tumor-immune division interactions from a sole FFPE section. Physician-ordered through early-access partner program.
Therapies that train the immune scheme to acknowledge and assault tumor-specific proteins. Most malignancy vaccines today are lone accessible through medicinal test enrollment. The exceptions are mostly on the peptide side: a fistful of clinics and programs can provision personalized peptide vaccines to patients who do not meet requirements for trials, during personalized mRNA vaccines remain nearly entirely confined to sponsor-run trials. Practically, this method a peptide vaccine is additional obtainable today.
Jaime Leandro Foundation (US). Personalized peptide vaccines through FDA Expanded Access (compassionate use) whenever no test is available. Patient-orderable.
Invoke Bio (US). Modality-agnostic neoantigen scheme (peptide, DNA, mRNA). Patient-orderable.
CeCurio (Germany). Personalized peptide vaccines through CeGaT collaboration, alongside real-world endurance data in glioblastoma. Patient-bookable in Germany.
Northwest Biotherapeutics (US, UK). Personalized autologous dendritic division vaccine for glioblastoma and another firm tumors in medicinal trials.
Immunocine (Mexico). Personalized dendritic division therapy at a Cancun medicinal center for patients alongside phase IV firm tumors who do not meet requirements for US trials. Patient-bookable, self-pay.
Diakonos Oncology (US). Patient-derived dendritic division therapy alongside trials underway in glioblastoma, pancreatic and melanoma. Trial enrollment.
Elicio Therapeutics (US). Lymph-node-targeted peptide vaccine against average KRAS mutations, in Phase 2 for pancreatic cancer. Trial enrollment.
UbiVac (US). Off-the-shelf vaccine targeting proteins from non-coding genome regions, alongside RNAseq-based screening for mark expression. Clinical-stage alongside fine data in caput and neck cancer. Trial enrollment.
Moderna (US). Personalized mRNA neoantigen vaccines. Trial enrollment.
Houston Methodist Center for RNA Therapeutics (US). Academic mRNA vaccine program led by Dr. John Cooke. Trial enrollment as studies open.
BioNTech (Germany). Personalized mRNA neoantigen vaccines. Trial enrollment.
IO Biotech (Denmark). Off-the-shelf peptide vaccine targeting IDO and PD-L1. Trial enrollment.
Echo (US). Personalized mRNA vaccines designed and manufactured for idiosyncratic patients. Patient-orderable. Even One Ventures company.
Therapies that use engineered immune cells (CAR-T, TCR-T), tumor-infiltrating lymphocytes (TIL), or antibodies to mark cancer. Most are accessed through medicinal test enrollment; FDA-approved exceptions noted below.
Iovance (US). First FDA-approved TIL therapy for advanced melanoma, alongside multiple others in trials. Available at authorized care centers in the US.
UCSF Cancer Immunotherapy Program (US). Standard-of-care CAR-T for B-cell lifeblood cancers and multiple myeloma; trials in firm tumors. Referral through oncology consult.
Stanford Center for Cancer Cell Therapy (US). Standard-of-care CAR-T for B-cell lymphoma; trials in melanoma, firm tumors, and inoperable brainstem gliomas, including pediatric DIPG. Referral through oncology consult.
Memorial Sloan Kettering Cellular Therapeutics Center (US). Standard-of-care CAR-T for lifeblood cancers and trials in firm tumors. Referral through oncology consult.
CARTx Therapeutics (US). A Nationwide Children’s Hospital spin-off evolving affordable, off-the-shelf CAR γδT division therapies for firm tumors and lifeblood cancers using fit donor-derived polyclonal gamma-delta T cells.
Immatics (Germany). Engineered TCR-T targeting PRAME, expressed throughout many firm tumors. Trial enrollment.
DKFZ Heidelberg (Germany). Heidelberg cellular therapy hub operating TCR-T, CAR-T, and bispecifics alongside on-site GMP cleanrooms. Dirk Jäger group; referral pathway in Germany.
Ranata Therapeutics (US). Patient-specific antibodies and T-cell engagers designed against an idiosyncratic patient's malignancy division exterior targets. Patient-orderable. Even One Ventures company.
Engineered viruses that selectively infect and demolish tumor cells during triggering an immune response. Access is currently via medicinal test enrollment.
Replimune (US, UK). Engineered HSV-1 oncolytic microorganism alongside BLA under FDA assessment for advanced melanoma; broader pipeline includes liver and another firm tumors. Trial enrollment in the meantime.
CG Oncology (US). Selective oncolytic adenovirus for BCG-unresponsive non-muscle invasive bladder cancer. BLA filing expected. Trial enrollment.
EpicentRx (US). Oncolytic adenovirus armed alongside a TGF-β trap (AdAPT-001), in trials throughout multiple firm tumors. Trial enrollment.
Candel Therapeutics (US). Adenoviral oncolytic blended alongside valacyclovir, alongside trials in prostate cancer, pancreatic cancer, and NSCLC. Trial enrollment.
Services that assistance patients and physicians acknowledge applicable open medicinal trials. Most use AI-driven matching against medicinal records or indication profiles.
Picnic Health (US). Patient-accessible.
Massive Bio (US). Patient-accessible.
Antidote (US, UK). Patient-accessible.
ClinicalTrials.gov (US). Official US authorities register of medicinal trials worldwide; the underlying data origin most matching tools diagram from. Patient-accessible.
myTomorrows (Netherlands). Trial finding affirmative expanded admission program (compassionate use) coordination, supported by tolerant navigators. Active in nearly 50 countries. Patient-accessible.
Klineo (France). European test coverage. Patient-accessible.
EU Clinical Trials Information System (CTIS) (EU). Official European Medicines Agency repository of medicinal trials in EU associate states. Patient-accessible.
Patient navigation services, AI-driven tools, and attention coordination resources to assistance patients and families comprehend their disease, discover care options, and oversee attention complete time.
Cancer Commons (US). PhD-led navigation affirmative an N-of-1 site-less observational study matching off-guideline FDA-approved narcotics through the patient's own oncologist. Patient-accessible.
Center for Metabolic Oncology (US). Physician-led metabolic health optimization custom for malignancy prevention, care support, survivorship, and surgical recover. Combines exercise, nutrition, sleep, stress, and ketogenic interventions as adjuncts to norm care. Led by Dr. Mark Kelley for cancer. Patient bookable.
Galen (US). AI-driven individual aide for malignancy patients covering test finding, lab interpretation, project management, coverage coordination. Patient-accessible.
OpenCancerAI (US). Open malignancy infrastructure and AI to decrease data asymmetry for patients. Patient-accessible.
Pathfinder Oncology (US). High-touch personalized treatment-pathway concierge assistance for advanced cancer. Patient-accessible.
Patient Advocators (US). Multi-disciplinary personal tolerant assistance resolute offering expert referrals, care navigation, and insurance/cost coordination throughout malignancy and another complex conditions. Patient-accessible.
Private Health Management (US). High-touch tolerant guidance, expert access, second opinions, and attention coordination. Patient-accessible.
Sagely Health (US). Led by oncologist Jason Sager, MD, Sagely Health helps malignancy patients and families create awareness of evolving science, medicinal trials, and treatment-access pathways. It offers a free, HIPAA-compliant medicinal test report, affirmative affordable individualized consultation alongside expert research, oncologist oversight, and tolerant protagonist support. Patient-accessible.
Outperform Cancer (US). Patient-built instructional website and podcast aggregating investigation on malignancy vaccines, exercise oncology, dietary interventions, and another adjunctive strategies. Patient-accessible.
NAVEXIO(US, Canada, Global). High-touch precision oncology navigation and consulting combining molecular diagnostics expertise, medicinal test and medication admission navigation. Patient-accessible.
Physicians and centers known for taking complex cases, considering off-guideline options, and supporting patients exploring beyond norm of care.
Asthra Health (US). Outside medicinal opinion for complex malignancy cases. Patient-bookable.
Sarcoma Oncology Center (US). Sarcoma-focused second opinions, medicinal trials, and multimodal care planning. Patient-bookable.
Private Medical (US). Private Medical takes complex cases alongside notice to overlooked medicinal angles. Patient-bookable.
Gustave Roussy (France). Europe's largest thorough malignancy center, alongside a powerful precision oncology program, ample Phase I trials portfolio, and global referral pathway.
Docrates Cancer Center (Finland). Private malignancy center in Helsinki serving global patients, offering unified diagnostics, treatment, and follow-up under a individual attention squad model. Patient-bookable internationally.

SELF-SERVE PLAYBOOKS

updated regularly

What to appearance for, and what to ask, whenever seeking an oncologist consenting to think beyond norm protocols.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/finding_the_right_physician_fcct-tzt2.pdf", "buttonNewWindow": true }, "imageId": "6a35d20a12d46415f0bf7239", "image": { "id": "6a35d20a12d46415f0bf7239", "recordType": 2, "addedOn": 1755634914775, "updatedOn": 1757326503119, "starred": false, "passthrough": false, "workflowState": 1, "publishOn": 1755634914775, "authorId": "69c1913a350ee6226a7df588", "systemDataId": "b0174e5e-d93b-4d64-afff-d91453cf5143", "systemDataVariants": "2560x1792,100w,300w,500w,750w,1000w,1500w,2500w", "systemDataSourceType": "PNG", "filename": "imgg-demo-nAJUud9M.png", "mediaFocalPoint": { "x": 0.5, "y": 0.5, "source": 3 }, "colorData": { "topLeftAverage": "b6bfc0", "topRightAverage": "d5d4cf", "bottomLeftAverage": "2b231b", "bottomRightAverage": "bab5a9", "centerAverage": "545148", "suggestedBgColor": "888275" }, "urlId": "gkiuvive303czfy0o2dut2pvtzavez-hfxp6-p327e", "title": "", "body": null, "likeCount": 0, "commentCount": 0, "publicCommentCount": 0, "commentState": 2, "unsaved": false, "assetUrl": "https://images.squarespace-cdn.com/content/v1/5ec321c2af33de48734cc929/b0174e5e-d93b-4d64-afff-d91453cf5143/imgg-demo-nAJUud9M.png", "contentType": "image/png", "items": [ ], "pushedServices": { }, "pendingPushedServices": { }, "originalSize": "2560x1792", "recordTypeLabel": "image" } }, { "title": "Assemble your tumor board", "description": "

How to build a small collection of expert perspectives on your case, including who to contain and how to run a session.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/assembling_your_tumor_board_fcct.pdf", "buttonNewWindow": true }, "imageId": "6a35d20a12d46415f0bf7247", "image": { "id": "6a35d20a12d46415f0bf7247", "recordType": 2, "addedOn": 1755634925666, "updatedOn": 1757326503124, "starred": false, "passthrough": false, "workflowState": 1, "publishOn": 1755634925666, "authorId": "69c1913a350ee6226a7df588", "systemDataId": "b6b59ab3-f764-463d-8cfa-43b909d73e6a", "systemDataVariants": "2816x1536,100w,300w,500w,750w,1000w,1500w,2500w", "systemDataSourceType": "PNG", "filename": "imgg-demo-9scJV8bA.png", "mediaFocalPoint": { "x": 0.5, "y": 0.5, "source": 3 }, "colorData": { "topLeftAverage": "5b4b37", "topRightAverage": "8f8373", "bottomLeftAverage": "534229", "bottomRightAverage": "66543d", "centerAverage": "6a5a44", "suggestedBgColor": "705e46" }, "urlId": "7zv384inskajgy828dm7tuq1z7x6un-m3mp3-383nb", "title": "", "body": null, "likeCount": 0, "commentCount": 0, "publicCommentCount": 0, "commentState": 2, "unsaved": false, "assetUrl": "https://images.squarespace-cdn.com/content/v1/5ec321c2af33de48734cc929/b6b59ab3-f764-463d-8cfa-43b909d73e6a/imgg-demo-9scJV8bA.png", "contentType": "image/png", "items": [ ], "pushedServices": { }, "pendingPushedServices": { }, "originalSize": "2816x1536", "recordTypeLabel": "image" } }, { "title": "Tips for medication admission advocacy", "description": "

A applicable walkthrough of expanded access, Right to Try, and medicinal test pathways, alongside what tends to activity and what tends to backfire.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/reaching_drug_companies_fcct.pdf", "buttonNewWindow": true }, "imageId": "6a35d20a12d46415f0bf725f", "image": { "id": "6a35d20a12d46415f0bf725f", "recordType": 2, "addedOn": 1755634940175, "updatedOn": 1757326503129, "starred": false, "passthrough": false, "workflowState": 1, "publishOn": 1755634940175, "authorId": "69c1913a350ee6226a7df588", "systemDataId": "dccd25e4-4ac0-4800-b670-67b27736cf0d", "systemDataVariants": "2816x1536,100w,300w,500w,750w,1000w,1500w,2500w", "systemDataSourceType": "PNG", "filename": "imgg-demo-Hj2zoZDh.png", "mediaFocalPoint": { "x": 0.5, "y": 0.5, "source": 3 }, "colorData": { "topLeftAverage": "5a533d", "topRightAverage": "d9d8d4", "bottomLeftAverage": "5d5840", "bottomRightAverage": "756c4f", "centerAverage": "3e3428", "suggestedBgColor": "837c6b" }, "urlId": "xmghrn6bswl81pu9y4qpqe7f3qaael-kw4an-585w4", "title": "", "body": null, "likeCount": 0, "commentCount": 0, "publicCommentCount": 0, "commentState": 2, "unsaved": false, "assetUrl": "https://images.squarespace-cdn.com/content/v1/5ec321c2af33de48734cc929/dccd25e4-4ac0-4800-b670-67b27736cf0d/imgg-demo-Hj2zoZDh.png", "contentType": "image/png", "items": [ ], "pushedServices": { }, "pendingPushedServices": { }, "originalSize": "2816x1536", "recordTypeLabel": "image" } }, { "title": "Bridging to a medicinal trial", "description": "

How to extend the timing gap between sickness progression and a medicinal test that hasn't yet opened, through expanded access, Right to Try, and state-level frameworks akin Montana SB535.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/bridging_to_clinical_trial_that_hasnt_opened_fcct.pdf", "buttonNewWindow": true }, "image": null }, { "title": "Preserving your tumor tissue", "description": "

What tissue conservation makes imaginable and how to commencement the conversation alongside your attention team.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/FCCT_Tissue_Preservation_Playbook.pdf", "buttonNewWindow": true }, "image": null }, { "title": "Comprehensive tumor diagnostics", "description": "

What thorough profiling can add beyond a norm panel and how it fits into decisions at diagnosis, recurrence, and following treatment. <\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/FCCT_Comprehensive_Tumor_Diagnostics_Playbook_FINAL.pdf", "buttonNewWindow": true }, "image": null }, { "title": "Therapeutic ladder template", "description": "

A template for organizing care options and questions to conversation alongside your attention team.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/therapeutic_ladder_starter_fcct.xlsx", "buttonNewWindow": true }, "image": null }, { "title": "Personalized malignancy vaccines", "description": "

What personalized malignancy vaccines are, what published studies display so far, how patients admission them, and questions to conversation alongside your attention team.<\/p>", "button": { "buttonText": "Download", "buttonLink": "/s/FCCT_Personalized_Cancer_Vaccines_Playbook_final.pdf", "buttonNewWindow": true }, "image": null } ], "styles": { "imageFocalPoint": { "x": 0.5, "y": 0.5 }, "imageOverlayOpacity": 0.3, "sectionTheme": "white", "imageEffect": "none", "backgroundMode": "image", "backgroundImage": null }, "video": { "filter": 1, "videoFallbackContentItem": null, "nativeVideoContentItem": null, "videoSourceProvider": "none" }, "backgroundImageFocalPoint": null, "backgroundImageId": null, "options": { "maxColumns": 3, "isCardEnabled": false, "isMediaEnabled": false, "isTitleEnabled": true, "isBodyEnabled": true, "isButtonEnabled": true, "isShowAdjacentSlides": true, "isInfiniteEnabled": false, "isAutoplayEnabled": false, "slideDurationMs": 1000, "mediaAspectRatio": "1:1", "layoutWidth": "full", "mediaWidth": { "value": 100, "unit": "%" }, "mediaAlignment": "left", "contentWidth": { "value": 75, "unit": "%" }, "titleAlignment": "left", "bodyAlignment": "left", "buttonAlignment": "left", "titlePlacement": "center", "bodyPlacement": "center", "buttonPlacement": "center", "cardVerticalAlignment": "stretch", "contentOrder": "media-first", "titleFontSize": "heading-2", "bodyFontSize": "paragraph-2", "buttonFontSize": "button-medium", "customOptions": { "customTitleFontSize": { "value": 2.2, "unit": "rem" }, "customBodyFontSize": { "value": 1.2, "unit": "rem" }, "customButtonFontSize": { "value": 1, "unit": "rem" } }, "verticalPaddingTop": { "value": 3.3, "unit": "vmax" }, "verticalPaddingBottom": { "value": 3.3, "unit": "vmax" }, "spaceBetweenSlides": { "value": 60, "unit": "px" }, "spaceBetweenContentAndMedia": { "value": 8, "unit": "%" }, "spaceBelowTitle": { "value": 4, "unit": "%" }, "spaceBelowBody": { "value": 8, "unit": "%" }, "cardPaddingTop": { "value": 10, "unit": "%" }, "cardPaddingRight": { "value": 10, "unit": "%" }, "cardPaddingBottom": { "value": 10, "unit": "%" }, "cardPaddingLeft": { "value": 10, "unit": "%" }, "navigationOffset": { "value": 5, "unit": "vw" }, "navigationControls": "arrows", "navigationPlacement": "bottom", "navigationAlignment": "center", "spaceAboveNavigation": { "value": 50, "unit": "px" }, "progressIndicators": "bars" }, "layout": "carousel", "isSectionTitleEnabled": true, "sectionTitle": "

SELF-SERVE PLAYBOOKS<\/strong><\/p>

updated regularly<\/em><\/p>", "spaceBelowSectionTitle": { "value": 70, "unit": "px" }, "sectionTitleAlignment": "center", "isSectionButtonEnabled": false, "sectionButton": { "buttonText": "Make It", "buttonLink": "#", "buttonNewWindow": false }, "sectionButtonSize": "medium", "sectionButtonAlignment": "center", "spaceAboveSectionButton": { "value": 70, "unit": "px" } }" data-media-alignment="left" data-title-alignment="left" data-body-alignment="left" data-button-alignment="left" data-title-placement="center" data-body-placement="center" data-button-placement="center" data-layout-width="full" data-title-font-unit="rem" data-description-font-unit="rem" data-button-font-unit="rem" data-is-media-enabled="false" data-is-card-enabled="false" data-media-width-value="100" data-media-width-unit="%" data-content-order="media-first" data-space-between-columns="" data-vertical-padding-top-value="3.3" data-vertical-padding-bottom-value="3.3" data-vertical-padding-top-unit="vmax" data-vertical-padding-bottom-unit="vmax">

Find open-minded physicians

What to appearance for, and what to ask, whenever seeking an oncologist consenting to think beyond norm protocols.

Assemble your tumor board

How to build a small collection of expert perspectives on your case, including who to contain and how to run a session.

Tips for medication admission advocacy

A applicable walkthrough of expanded access, Right to Try, and medicinal test pathways, alongside what tends to activity and what tends to backfire.

Bridging to a medicinal trial

How to extend the timing gap between sickness progression and a medicinal test that hasn't yet opened, through expanded access, Right to Try, and state-level frameworks akin Montana SB535.

Preserving your tumor tissue

What tissue conservation makes imaginable and how to commencement the conversation alongside your attention team.

Comprehensive tumor diagnostics

What thorough profiling can add beyond a norm panel and how it fits into decisions at diagnosis, recurrence, and following treatment.

Therapeutic ladder template

A template for organizing care options and questions to conversation alongside your attention team.

Personalized malignancy vaccines

What personalized malignancy vaccines are, what published studies display so far, how patients admission them, and questions to conversation alongside your attention team.

Director, Patient Connections

Bayli DiVita Dean, Ph.D.

Bayli is a researcher and discipline communicator dedicated to improving the lives of those diagnosed alongside cancer. She developed her ability in malignancy immunotherapy investigation at the University of Florida and in translating complex specialized findings into accessible tongue during her period at the American Brain Tumor Association. Bayli was additionally a chap at the National Institutes of Health, Office of the Director, through the American Association for the Advancement of Science Science and Technology Policy Fellowship, anywhere she addressed guideline needs connected to incorporating the community into medicinal investigation and bioethical issues. Inspired by her mother's assessment alongside metastatic colon cancer, she now applies her caregiving, scientific, and communication ability to provision data and compassion to clients of FCCT.

LinkedIn Profile →

Associate, Patient Information

Donnia Robins, MSc.

Donnia is a researcher alongside training in chemistry, community health, and pharmaceutical sciences. Before joining FCCT, she was an Early Stage Researcher in the AGePOP consortium, an EU Horizon 2020 program focused on medicines for particular populations, including older adults. At FCCT, Donnia supports tolerant case research, asset mapping, and preparedness of instructional materials for patients.

Patient-First Data and Tissue Release

One position authorization US patients can use to petition or straightforward the publish of records, imaging, test data, and accessible tissue to recipients they choose.

We invitation patients, and the organizations that create or clasp their data or tissue, to use the publish and portion feedback on how it plant in practice. This volition assistance us create the form clearer, easier to process, and additional productive for everyone involved.

Why This Form Is Needed

Patients can normally get medicinal notes and summary reports. Obtaining the underlying materials can be additional difficult. These may contain first imaging files, pathology materials, sequencing files, lab data, and accessible tissue. They may be needed for a second opinion, additional testing, medicinal test evaluation, or research.

What the Form Does

Identifies who is authorizing the publish and anywhere the materials are held. The form includes the patient’s information, the authority of any individual representative, and multiple releasing institutions and departments.

Defines the records and data covered. This includes medicinal and billing records; laboratory, pathology, and imaging reports; first imaging files; digital health data exports; genomic and lab reports; raw data files; and connected assay and inspection information. The authority covers all dates.

Includes accessible tissue and another specimens. Covered materials contain pathology slides and tissue blocks, as fine as blood, plasma, serum, skeletal marrow, and another biologic materials.

Addresses delicate data separately. The tolerant must first the categories they authorize for release, including familial or genomic, HIV/AIDS-related, mental health, and reproductive or intimate health information. Psychotherapy notes are excluded. Substance use disturbance records covered by 42 C.F.R. Part 2 necessitate distinct consent.

Defines who may obtain the materials. The authority covers stated healthcare, laboratory, data exchange, and investigation recipients, as fine as another individual or institution identified by the patient. The recipient may inform the releasing institution anywhere to dispatch the materials.

Creates a position authorization. Once the form is on file, an authorized recipient may petition covered materials without obtaining a new tolerant signature for all request. The authority remains productive for up to 99 years unless the tolerant revokes it or applicable law requires an before expiration.

Explains the limits of releasing bodily materials. Tissue and another specimens can be released lone whenever they remain accessible and publish is permitted. Materials that were abandoned or not preserved cannot be recovered. A publish may additionally decrease what remains for forthcoming attention or testing.

Includes norm authority terms. These location purpose, expiration, revocation, imaginable re-disclosure, voluntariness, permitted fees, the correct to a copy, governing law, and signatures. The form is intended to fulfill HIPAA authority requirements under 45 C.F.R. § 164.508.

Requests remain topic to applicable law, availability, and organizational policy. The form covers the publish of the materials. Later use or sharing by the recipient may necessitate a distinct agreement.

Email feedback to: fcct@sijbrandijfoundation.org

Materials move immediately from the holder to the tolerant or chosen recipient. FCCT does not obtain or shop data or tissue and does not provision lawful or medicinal advice.

Work alongside us.

If our activity could be helpful to you or your community, delight attain out. There is no disbursal to patients or families for our help.

Patients and Caregivers
Whether you are newly diagnosed, facing progression, or trying to fig out what comes next, we may be capable to assistance you think additional plainly concerning the way ahead.

Clinicians, Researchers, Partners
If you are operating in diagnostics, therapeutics, personalized medicine, or health technology, and accept patients need improved assistance navigating complexity, let's conversation concerning how our activity could complement yours.

Patients and families say that a 30-minute call with us frequently shifts how they think concerning what’s possible.

The Double Headed Stack Allocator

support@mycoding.id (Adi Gunawan) — Thu, 15 Oct 2026 03:06:36 +0700

When programming elevated achievement applications, specified as video games, you study neat tricks for penning accelerated code that makes the most of constricted resources.

Memory allocation is a huge topic for achievement crucial code that needs a changeable amount of memory.

When you comprehend “stack allocator” you power think of “alloca” which lets you allocate recollection from the genuine program stack. That is excellent helpful in a pinch, but that is not what today’s article is about. Another name for the category of stack allocator we are talking concerning today is “bump allocator”.

The Stack Allocator

Around 2010 I was operating at Surreal Software (Midway Seattle) on an open earth equivalent “This is Vegas” which unfortunately was cancelled whenever Midway went out of business.

On that project, one of my duties was animation programming. Animation worked by having a province device for sets of bones, anywhere all province was a tree of animation blends. When states changed, they would blend out from the old province into the new province to maintain continuity.

There was a lot of blending going on, and it used a ample figure of energetic recollection allocations for these animations to be evaluated and blended on the CPU. These allocations were all transient although and lone needed to be for part of the frame. Furthermore, these allocations had to happen per frame, as things could alter drastically from one example to the next, as to which characters were being animated that example – according to the camera frustum for example. The allocator showed up as a hot place in profiling this division of code.

To resolve this problem, we implemented a “stack allocator” anywhere allocation is fair an entire figure add, and deallocation is equal cheaper.

To do this, you allocate and keep several amount of recollection that is the maximum amount you volition need, akin say 1MB. This is your stack. You additionally keep an entire figure “tos” changeable to cognize anywhere the top of the stack is.

When you desire to allocate memory, your recollection is the recollection at the top of the stack, and you add the figure of bytes you desire to allocate to the tos changeable so that the next allocation comes following yours:

In a genuine implementation, you would additionally desire to cognize how big the recollection was, so that you could grip the tos hitting the end of the recollection – by returning null, or asserting, or item else.

When you are done alongside the memory, you fair set the tos changeable to 0.

In our case, we set the tos to 0 following animation blending was completed and we had copied the results into the buffers that were heading to the vertex shader for skinning. If you were using a stack allocator additional mostly for all transient recollection allocations during a game’s frame, you may set it rear to 0 whenever the example starts.

The outcome was night and day. Allocation no longer took any measurable period in the profiler, since allocation was an entire figure addition, and freeing all recollection was a sole entire figure assigment. It doesn’t get faster than that.

One item to note is that as written, this allocator does not call destructors or destructors. Using placement new for constructors would be uncomplicated enough. Calling destructors would be harder, as it would have to be a manual process, which is error prone. You power be capable to use several RAII pattern, but stack allocators activity finest for simpler types.

Another awesome item concerning stack allocators is that they can activity in multi threaded environments. If the tos changeable uses nuclear addition, multiple threads can allocate from the identical stack allocator. This can be nice in a fork/join circumstance on the CPU, or for a complex algorithm operating on the GPU.

You can additionally do “partial deallocations” alongside stack allocators. For instance, if you had several recursive procedure anywhere all flat needed energetic allocation, you could recall anywhere the tos was whenever that flat started, and set it rear to that value whenever that flat of handling finished.

The Double Headed Stack Allocator

A few years later, I established myself at Blizzard on the StarCraft 2 team. My chief James Anhalt was (and motionless is) a really astute dude who introduced me to shader toy, and shared a bunch of really chill techniques that have been former blog posts. He told me concerning twice headed stack allocators as a resolution to a recollection fragmentation issue he had hit in the past.

Imagine that you had a streaming earth equivalent anywhere as the participant ran about the world, old flat geometry would deallocate, and new flat geometry would allocate and stream in from disk.

At the identical time, ideate the participant character could form change into distinct forms – and all period they changed forms, the old form was deallocated, and the new form was allocated and streamed in from disk.

A difficulty is, whenever you have these two systems allocating and deallocating random amounts of memory, on their own timelines, your recollection is going to get fragmented.

Lets stroll through a uncomplicated example. Let’s say you have 100 MB total recollection for the flat (red) and the character (green). The flat allocates 20MB, afterward the character allocates 30MB, afterward the flat allocates 20MB and the character allocates the final 30MB.

Level data (red) allocations interleaved alongside character allocations (green).

Now let’s say that the participant runs to a new section, so the old flat data recollection is freed. The new flat data lone needs to create a sole 30MB allocation. We do have 40MB recollection free, but it isn’t in one chunk! We lone have two blocks of 20MB. So equal although the new flat data is smaller, we can’t allocate area for it. This is recollection fragmentation, and it’s a big issue in recollection constrained environments.

Level data freed, leaving lone character allocations. No area for a 30MB (3 block) allocation for new flat data, notwithstanding having 40MB free!

So, James told me what they did in this category of circumstance was to have a chunk of recollection akin a normal stack allocator, but the flat data had a tos which grew upwards from 0, and the character data had a tos which grew downward from the end of the memory. You knew you were out of recollection whenever they traversed complete all another and the flat tos was greater than the character tos.

Let’s see how that works:

Level data (red) allocations and character allocations (green).

Level data freed, leaving lone character allocations.

Level data is capable to allocate the 30MB it needs by keeping a distinct stack allocator in the identical recollection block. No recollection fragmentation.

This made it so whenever the flat data needed to change, it could reset the flat tos rear to 0, and reallocate the recollection it needed, without any fragmentation whatsoever. Similarly, whenever the character freed its memory, it would reset its tos rear to the end of memory, and could afterward reallocate the recollection it needed, additionally without any fragmentation.

Once again, these allocators activity fine in multithreaded environments, equal whenever all thread power allocate from either side. Atomic add to the tos indices is all you need.

You power ask “why not have two stack allocators alternatively of a twice headed one?” The chief advantage is whenever you are recollection constrained and cognize that the size of one stack allocator is adequate to assist two systems, but the proportion of recollection that goes to one flank vs the another is flexible. In a equivalent circumstance akin described above, that method several levels could use additional memory, but in those situations, the character would need to have reduced recollection usage. A bit of a contrived example but hopefully you get what I mean.

Storing Variable Sized Objects In A Finite Region

There is a assortment of this whenever you are trying to shop a figure of changeable sized objects in a fixed amount of memory, but you desire random admission by index. An example may be that you desire to dispatch network packets of a particular size for effectiveness reason, and you desire to that recollection to encode a changeable figure of changeable sized network commands in it. You desire to be capable to effortlessly iterate through the messages, but you desire to assistance them having changeable sizes too.

What you do is have a twice headed stack allocator anywhere one stack is for the energetic allocations, and the another stack is for an gathering of integers that are an offset in the recollection to the energetic allocations.

Let me display you what I average alongside an example. Starting alongside an bare twice headed stack allocator:

You desire to allocate 24 bytes. Stack 0 has a tos of 0, so that is anywhere you compose your 24 byte object. You add 24 to stack 0’s tos and it is now 24, anywhere the next liberated area of recollection is. You additionally allocate an entire figure from stack 1 and compose 0 there, as the offset for anywhere this archetypal item lives.

Next you desire to allocate 14 bytes. Stack 0 has a tos of 24, so that is anywhere you compose your 12 byte object. You add 12 to stack 0’s tos and it is now 38. You additionally allocate an entire figure from stack 1 and compose 24 there, as the offset for anywhere this second item lives.

and so on…

you additionally have to somehow keep track of how many objects there are. You could have a distinct entire figure keeping figure of how many offsets there are in the offset table, or perchance you could have a sentinel value in the offset array to signify anywhere the end of the offsets are. Perhaps ~0 (all 1s in binary) could be the sentinel value.

Just akin the another stack allocators we talked about, this one can additionally activity in a multi threaded environment. You power be tempted to create the two updates transactional – akin alongside a difference and toggle iteration – but it isn’t needed.

Lastly, this configuration allows you to eliminate items, or move them about in memory, which is another way of reducing fragmentation – you fair need to update the offset array to equivalent actuality whenever you do so.

Links

Another small compose up that includes this topic, from the AMD vulkan recollection allocator: https://gpuopen-librariesandsdks.github.io/VulkanMemoryAllocator/html/custom_memory_pools.html#linear_algorithm

8 states are suing OpenAI, saying ChatGPT harms kids. Here are their demands, from data deletion to halting AI testing.

support@mycoding.id (Katherine Li,Lloyd Lee) — Thu, 15 Oct 2026 02:48:59 +0700

The states allege that ChatGPT encouraged self-harm and aggression and that OpenAI misled consumers concerning the tool's safety. Jakub Porzycki/NurPhoto via Getty Images

OpenAI is facing a new legal offensive from eight states whose attorneys broad allege that ChatGPT has encouraged several users, including teenagers, to hurt themselves or others.
A bipartisan collection of attorneys broad submitted distinct lawsuits Wednesday, accusing OpenAI of misleading consumers concerning safety and of designing the chatbot to cultivate rely before reinforcing delusions or facilitating hazardous conduct.
The states — Arizona, Arkansas, Idaho, Iowa, Kansas, Montana, Nebraska, and West Virginia — additionally accused OpenAI of misleading consumers concerning ChatGPT’s safety and demanded a range of restrictions, from limits on evaluation of advanced models to the deletion of person data.
Here is what all province is demanding as remedies.

Arizona

Arizona Attorney General Kris Mayes alleges OpenAI designed ChatGPT to acquire users’ rely and collect individual data by making it overly agreeable and mimicking individual compassion. Bloomberg/Getty Images

Attorney General Kris Mayes of Arizona alleges OpenAI used excessive accord and simulated compassion to win person rely and collect individual data.
"OpenAI designed a merchandise to diagram young users and keep them busy for as lengthy as imaginable so it could grasp their extended individual data for the company's business benefit," Mayes said.
"OpenAI put Arizonans safety at hazard by failing to execute adequate user protections or transparency measures," Mayes added.
According to the state's complaint, the province is seeking penalties of up to $10,000 for all willful violation. The province additionally wants to bar OpenAI from deploying or evaluation advanced models exterior a secure, independently verified surroundings and necessitate immediate reporting of incidents in which models escape controls or admission systems without authorization.

Arkansas

Attorney General Tim Griffin of Arkansas stated OpenAI hidden known risks and unlawfully collected data from children. Tom Williams/CQ-Roll Call, Inc via Getty Images

Attorney General Tim Griffin of Arkansas alleges OpenAI hidden known risks during assuring consumers that ChatGPT was safe, and unlawfully collected teens’ individual information.
“OpenAI assures us that ChatGPT is safe. The consequences of that assurance are lives misplaced and people harmed,” Griffin stated in a statement.
The province is seeking financial penalties and an injunction against collecting data from teens. Arkansas additionally wants to halt additional advanced AI evaluation and the innovation of models capable of recursive self-improvement, until adequate safeguards are in place.

Idaho

Raúl Labrador, the attorney broad of Idaho, stated that "the safety of Idaho children cannot be an afterthought" upon filing a grievance against OpenAI. Bloomberg/Getty Images

Raúl Labrador, the attorney broad of Idaho, alleges OpenAI misled consumers concerning ChatGPT’s safety during encouraging self-harm and violence, reinforcing delusions, and offering hazardous medicinal advice.
"The safety of Idaho children cannot be an afterthought to runaway gain or scientific advancements," Labrador stated in a declaration on Wednesday.
In its complaint, Idaho seeks $5,000 per person safety infringement and court-ordered safeguards, including age verification and limits on harmful or addictive features. The lawsuit additionally seeks to restrict advanced AI testing and deployment to secure, independently verified environments.

Iowa

Brenna Bird, Iowa's Attorney General, stated that OpenAI misled consumers concerning ChatGPT’s safety. Chris Machian/Omaha World-Herald via Getty Images

Iowa alleges that OpenAI misled consumers concerning ChatGPT’s safety and hidden risks connected alongside autonomous AI agents.
As a remedy, the province wants OpenAI to “delete and demolish all Iowans’ data obtained previous to the admission of this Court’s judgment.” It additionally seeks person reimbursements and penalties of up to $40,000 per person fraud violation, affirmative up to $5,000 for violations against older group old 60 or older.
Iowa is additionally asking the court to halt additional evaluation of advanced AI models until safeguards are independently verified to not be posing a danger to the community and until third-party monitors have verified the same

Kansas

Kansas Attorney General Kris Kobach stated that OpenAI designed features that advance compulsive use. Alex Wong/Getty Images

Kansas Attorney General Kris Kobach said that OpenAI deceived consumers concerning ChatGPT’s safety and designed features that advance compulsive use.
“Defendants designed these products, keeping consumers uninformed of the true nature of the product,” the grievance said.
Kansas is seeking $10,000 per person safety infringement and $20,000 per infringement involving a protected consumer. It additionally wants compensation of finances acquired from Kansas consumers and a imperishable injunction against deceptive and unconscionable practices.

Montana

Attorney General Austin Knudsen of Montana alleges that OpenAI collected children's data without required consent. Bill Clark/CQ-Roll Call, Inc via Getty Images

In Montana's grievance submitted by Attorney General Austin Knudsen, the province alleges OpenAI deceived consumers concerning ChatGPT’s safety and violated privacy protections, including by collecting children's data without required consent.
In the state's filing, Montana seeks penalties of $10,000 per consumer-protection infringement and $7,500 per privacy violation, and to compel OpenAI to delete unlawfully obtained individual data under Montana’s privacy law.
Montana is additionally asking OpenAI to notify the attorney general's agency should an AI delegate go rogue again, and to restrict advanced example testing to a secure, independently verified environment.

Nebraska

Nebraska's Attorney General Mike Hilgers stated that OpenAI unsuccessful to defend children from harmful satisfied and affectional dependency. Nikos Frazier/Omaha World-Herald via Getty Images

Nebraska's Attorney General Mike Hilgers alleges in a grievance that OpenAI misled families concerning ChatGPT’s safety and unsuccessful to defend children from harmful satisfied and affectional dependency.
According to the filing, the province is seeking $50,000 per infringement of its age-appropriate scheme law and $2,000 per infringement of its person safety and deceptive commerce practices laws.
Nebraska additionally wants a court command requiring OpenAI to provision “accessible and easy-to-use options to bounds the amount of time” they expend on ChatGPT, alongside adequate parental controls, age verification, and protections for minors’ individual data.

West Virginia

West Virginia's attorney general, John McCuskey, alleges that OpenAI's tools have endangered children and created a community nuisance. Bloomberg/Getty Images

West Virginia's attorney general, John McCuskey, chiefly alleges that OpenAI has misled consumers and created a community nuisance that endangers children.
As a remedy, the province wants age checks, parental controls, default meeting and nighttime limits for children, mandatory crisis-escalation protocols, and an autonomous monitor. It additionally asks that OpenAI prosperity a court-supervised scheme supporting “youth crisis-response capability and digital-safety learning in community schools.”
Additionally, West Virginia seeks $5,000 per repeated person safety violation, alongside alongside the deletion and cessation of use of individual data it alleges was unlawfully collected from West Virginia minors.

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Katherine Li is a newsman on Business Insider's West Coast endeavor news team. She covers career, the forthcoming of work, and how AI is changing hiring practices and office trends.Previously, she was a newsroom chap who wrote global breaking news and produced newsletters for Semafor. Before that, she wrote concerning climate policies for The Lever, covered the AAPI community for the SF Chronicle as a freelancer, and wrote concerning the 2019 Hong Kong protests as an intern for The New York Times.She is an alumna of the Graduate School of Journalism at UC Berkeley and a alumnus of the global reporting program at Hong Kong Baptist University alongside minors in French and English literature. Email Katherine at katherineli@insider.com and prosecute her on Bluesky @katherineli.bsky.social.

Lloyd Lee is a newsman at Business Insider covering frontier technologies, alongside a concentration on how they're being deployed in the genuine earth and the gaps and tensions that appear as people, companies, and regulators respond. His safety has featured autonomous vehicles, EVs, robotics, brain-computer interfaces, and AI.Lloyd's reporting on the advancement of Alphabet's Waymo and Tesla's autonomous ambitions was recognized by the San Francisco Press Club alongside a Bay Area Journalism Award.Before joining Business Insider, he was a local newsman for Almanac News and Palo Alto Weekly, covering accommodation issues, small businesses, and notable Silicon Valley characters.Lloyd is based in San Francisco.He can be reached via email lloydlee@businessinsider.com, or by phone at 646-768-1630, or Signal at lloyd.71.

Overdose Offsets: Why Every Bag of Fentanyl I Sell Is Net Life-Positive

support@mycoding.id (Doris Putra) — Thu, 15 Oct 2026 02:07:15 +0700

I market fentanyl six days a week under the El at Kensington and Somerset, and all bag I market is net life-positive. Each bag carries a small but genuine chance of slaying whoever buys it. Each bag additionally sends $1.80 to the Against Malaria Foundation, which GiveWell estimates saves a child’s existence for concerning $5,500. My customers die at a charge of approximately one per 4,000 bags. Four thousand bags at $1.80 buys nets for 1.3 children. Every death on my border is offset, alongside a third of a toddler remaining over, and I’d akin that figure in the conversation the next period person calls me a murderer out the opening of a passing Kia.

I arrived current the way most group in productive altruism attain at their careers: by asking anywhere my related advantage was largest. I spent four years as a quantitative dealer at Jane Street. I was good, but I was replaceable, and so was all dollar I made there. Earning to provision tells you to obtain the highest-paying activity you can stomach and donate the difference. I took the Giving What We Can commitment in 2019. I have merely taken the “highest-paying” fractional additional earnestly than the group who sign it between sessions at EA Global. My client basis is the most price-inelastic in North America, my overhead is a fanny pack, and my plug in Fairhill has never formerly asked me to act an offsite.

The inquiry critics refuse to ask is not whether a bag can slay someone. Of way it can; that’s the product. The inquiry is the net alter in lives per bag:

ΔL = D/G − p D = contribution per bag ($1.80) G = GiveWell disbursal per existence saved (~$5,500) p = probability a stated bag is fatal (~1/4,000)

D/G comes to 0.000327 lives. p comes to 0.00025. Every bag nets concerning +0.00008 lives. In 2025 I moved approximately 21,000 bags, which my example attributes to 5.3 deaths in Kensington and 6.9 lives saved in Malawi, for a net of +1.6. My old array at Jane Street saved zero lives on net, and nobody there always had to stage complete anyone to get to work.

People entity that the deaths in Kensington are genuine and the lives in Malawi are statistical. This is range insensitivity alongside a zip code. A kid dying of malaria in Lilongwe is exactly as deceased as a man nodding out on the Allegheny steps, and arguably additional tragic, since she wasn’t dopesick first. If you awareness the Kensington death additional vividly, that’s a fact concerning your eyes, not concerning the ethical universe.

If I depart the corner, Hector from Lehigh Avenue has it inner of an hour. Hector sells the identical tranq dope at the identical price, alongside zero offsets and a pit masculine livestock named Dollar. The counterfactual to me is not “no fentanyl at Kensington and Somerset.” It’s fentanyl without malaria nets. Every individual who wants me gone, including Officer Ruiz, who arrested me in August and asked whether I understood what I was doing, is functionally campaigning for Hector. I told Ruiz I’d modeled it extensively. He did not desire to see the model.

I hedge under ethical uncertainty, as Will MacAskill recommends. I keep Narcan in the fanny group and hand it out alongside all bundle the way airlines hand out pretzels. If I see person go blue on my block, I hit them alongside it, and I publish that as straightforward work, distinct from the offsets. I hand out fentanyl test strips too. My merchandise tests affirmative all time, which is additional honesty than you’ll get from a Wawa hot dog.

This summer I began stamping my bags EFFECTIVE in red ink. Every grave border has a stamp. Mine is the lone one that’s additionally a goal statement.

Longtermists have taught us to measure not fair the existence saved but the forthcoming that existence makes possible. A female under a net in Malawi has, in expectation, sixty years onward of her, children of her own, grandchildren, and descendants throughout a forthcoming that may clasp trillions of people. A 46-year-old man nodding on the steps of the Somerset position has, alongside respect, a shorter and small branching future. Weighted by descendants, I’m not selling one death for 1.3 lives. I’m selling a cul-de-sac for a family tree.

Sam Bankman-Fried’s error was operational, not philosophical. He was correct that a grave altruist goes anywhere the prosperity is. He went to crypto. I went to the El.

My mother, who paid for Haverford, says she didn’t lift a medication dealer. That’s accurate. She raised a quant, and the quant made a lateral move.

People say I gain from addiction. Every job profits from something. Jane Street profited from the volatility of Robinhood users’ withdrawal accounts. At smallest my customers get high.

The strongest exception is that I could donate without selling. I could, but I’d be donating a Wawa cashier’s salary, which buys concerning fractional a kid a year. I’d be keeping my hands spotless at a disbursal of additional than a kid per twelvemonth in Malawi. That isn’t ethics. It’s a skincare routine.

Last duration a man named Darnell died on the steps of the Allegheny position alongside one of my bags in his pocket. I had already wired his $1.80 to AMF on the archetypal of the month. Somewhere in Malawi a kid is sleeping under a net since of Darnell, and I don’t think anyone in Kensington has always stated item that nice concerning him.

LFM2.5-24B-A2B: Built for fast on-device agents

support@mycoding.id (Adi Gunawan) — Thu, 15 Oct 2026 00:59:37 +0700

Today, we publish LFM2.5-24B-A2B, a 24B-parameter reasoning example alongside fair 2B energetic parameters, built for fast, personal agents on-device. It is the largest and final example in the LFM2.5 family, which now spans two orders of magnitude: from LFM2.5-230M to LFM2.5-24B-A2B.
LFM2.5-24B-A2B is rivalrous alongside Qwen3.6-35B-A3B, a example alongside ~50% additional total and energetic parameters, on five of eight agentic and tool-use benchmarks, scoring 48.09 on LiveClaw versus 38.19 and 27.69 on AutomationBench versus 8.72. Because lone 2B parameters are energetic per token, it runs up to 1.7× faster than comparable MoEs on-device, alongside 184 tokens/s on an Apple M5 Max and up to 21K output tokens/s on a sole NVIDIA B300 GPU.
The basis (LFM2.5-24B-A2B-Base) and post-trained (LFM2.5-24B-A2B) models are open-weight and accessible today on Hugging Face and our Playground. Check out our docs on how to run and fine-tune it locally.
What changed since LFM2-24B-A2B
LFM2.5-24B-A2B builds on our former LFM2-24B-A2B release, alongside an expanded vocabulary and environment window, scaled-up pretraining, and large-scale reinforcement learning. Unlike its predecessor, LFM2.5-24B-A2B is a reasoning-only example that produces an definitive sequence of idea before its final answer. We adopted this scheme to leverage its elevated decode speed and enhance answer quality.
Architecture. It keeps the 40 layers, 64 experts per MoE obstacle alongside top-4 routing, and the identical hybrid of gated abbreviated convolutions and GQA. The two architectural changes are the environment opening expansion from 32,768 to 131,072 tokens, and the in-place tokenizer expansion, which doubles the vocabulary from 65K to 128K tokens for improved non-Latin tokenization.
Pre-training was scaled up from 17T tokens to 33T tokens.
Mid-training has two phases. The archetypal runs 2T tokens at 32K environment on curated, higher-quality data valued toward reasoning, math, code, education following, and multilingual text. The second runs 300B tokens at 131K context, valued toward lengthy environment data. Tool calls and multi-turn trajectories appear throughout the two phases to prepared the example for agentic workloads.
Post-training turns LFM2.5-24B-A2B-Base into the agentic LFM2.5-24B-A2B in a five-stage pipeline as illustrated below: (1) Supervised Fine-Tuning (SFT), (2) Teacher Specialization, (3) non-agentic and (4) agentic Multi-Domain On-Policy Distillation (MOPD), and (5) Agentic Reinforcement Learning (Agentic RL), training the example inner delegate harnesses, specified as OpenClaw, Hermes Agent, Pi, and OpenCode.
Figure 2: LFM2.5-24B-A2B Post-training recipe
During instructor specialization, LFM2.5-24B-A2B exhibited well-known reward-hacking behaviors: searching for the final answer in a repository's git former or on platforms akin GitHub, PyPI, and Hugging Face. More surprisingly, it equal figured out it was in a sandbox, as shown in the examples below.
This behavior looks emergent but power be explained by training data containing akin patterns. We tightened our sandboxes in response, and all reported results below arrive from sealed evaluation environments.
Benchmarks
We evaluated LFM2.5-24B-A2B throughout 16 benchmarks covering tool use and agentic workflows, knowledge, education following, math, and coding. Despite being the smallest example in total and energetic figure of parameters, it is rivalrous with, and frequently outperforms, larger MoEs alongside ~50% additional total and energetic parameters, specified as Qwen3.6-35B-A3B.
Benchmark
LFM2.5-24B-A2B
Qwen3.6-35B-A3B
Gemma-4-26B-A4B-it
Nemotron-3.5-Lightning (30B-A3B)
AutomationBench
27.69
8.72
5.46
2.61
BFCLv4
65.01
65.00
57.09
53.78
ToolSandbox
80.71
75.02
72.09
75.13
LiveClaw
48.09
38.19
41.25
37.72
PinchBench
83.18
89.93
77.12
84.20
τ³-Bench Banking
8.04
7.63
4.54
7.01
WebArena Verified
26.75
37.62
25.62
28.69
GPQA Diamond
74.42
83.69
74.90
72.42
AA-Omniscience
-24.90
-24.35
-59.39
-3.58
HLE
7.40
7.69
8.57
5.65
IFEval
96.75
93.06
92.00
94.19
IFBench
74.69
64.21
47.44
71.67
Multi-IF
84.38
81.53
82.19
82.34
MATH-500
96.04
96.73
95.66
96.40
SWE-Bench Verified (OpenCode)
51.00
66.20
25.80
53.40
SciCode
32.71
37.35
35.42
27.78
Table 1: LFM2.5-24B-A2B benchmark performance*.
LFM2.5-24B-A2B leads or matches the competition on five of the eight tool-use and agentic benchmarks (AutomationBench, BFCLv4, ToolSandbox, LiveClaw, and τ³-Bench Banking), alongside its widest border on AutomationBench, anywhere it scores additional than three times the next-best model. It additionally leads on all three instruction-following benchmarks. Larger models keep an border on knowledge-heavy benchmarks akin GPQA Diamond, HLE, and AA-Omniscience, and on coding benchmarks akin SWE-Bench Verified (OpenCode) and SciCode.
The results create LFM2.5-24B-A2B an ideal basis for agents that need to reason, call tools, and run reliably on your device. For knowledge-heavy workloads, we propose pairing LFM2.5-24B-A2B alongside retrieval or web search, which plays to its tool-calling strength.
Fast conclusion everywhere
LFM2.5-24B-A2B ships alongside day-one assistance throughout the conclusion ecosystem:
llama.cpp — GGUF checkpoints for productive border inference
MLX — Optimized conclusion for Apple Silicon
vLLM — GPU-accelerated serving for manufacturing throughput
SGLang — High-performance GPU serving framework
ONNX — Cross-platform conclusion throughout varied accelerators
All runs were collected on Pipette, the identical benchmarking infrastructure rearward Liquid AI's community equipment achievement data.
Edge inference. Due to the productive LFM2 architecture, LFM2.5-24B-A2B is the fastest of the compared MoEs at study in prompts and generating answers. It decodes 184 tokens/s on an Apple M5 Max and 114 tokens/s on an AMD Ryzen AI Max+ 395, up to 1.7x faster than the next-best model, during using the smallest memory.
GPU inference. To display the competitiveness of LFM architecture we difference the GPU conclusion throughput to another likewise sized MoE models. We measure GPU throughput (total output tokens / partition time) on a sole NVIDIA B300 GPU using a sustained-load setting: at all concurrency level, we continuously keep the mark figure of in-flight requests, replacing all completed petition immediately.
We benchmark all example alongside SGLang 0.5.22, 1,024 input tokens, up to 256 output tokens, in BF16. LFM2.5-24B-A2B is the fastest example in its size class, reaching complete 21K output tokens per second at elevated concurrency.
Run local agents alongside LFM2.5-24B-A2B
LFM2.5-24B-A2B’s size, speed, and capabilities create it a awesome choice for agents that run continuously on your own hardware. In the demo below, we run it inner Hermes Agent on an M5 Max MacBook Pro, anywhere it plans, calls tools, and plant through a genuine project entirely on-device, without any haze API calls.
Video 1: Local Hermes Agent alongside LFM2.5-24B-A2B creating a dawn briefing concerning trending models on Hugging Face and responding to prosecute up questions.
The item of the demo is not the idiosyncratic tools. It is that the tool-dispatch iteration feels interactive on person hardware: ask, propose, confirm, run, repeat, all in fine under a second per dispatch, alongside complete audit trails and your data never leaving the device. Check out our local delegate guide for how to assist the example locally and nexus it alongside the delegate harness of your choice.
Get Started
Start construction today alongside LFM2.5-24B-A2B, accessible on Hugging Face.
For API inference, you can additionally sign up for Liquid Console anywhere you'll obtain $2 in credit to get started. The example is priced at $.10/1M input tokens (at $.05 for cached input) and $1.00/1M output tokens.
With LFM2.5, we're delivering on our imagination of AI that runs anywhere. These models are:
Open-weight — Download, fine-tune, and deploy. See our model license.
Fast from day one — Native assistance for llama.cpp, MLX, and vLLM throughout Apple, AMD, Qualcomm, and Nvidia hardware
A complete family — From basis models for customization to specialized audio and imagination variants, one architecture covers varied use cases
We can't delay to see what you build.
Download on Hugging Face Run your harness of choice locally alongside LFM2.5-24B-A2B Integrate alongside our API
Citation
For citations, delight use the following citation or BibTeX:
Liquid AI, "LFM2.5-24B-A2B: Built for Fast On-Device Agents", Liquid AI Blog, Oct 2026.
_{*All the models were evaluated alongside vLLM and the following generation parameters:}
_{AutomationBench:}_{heat = 0.6, top_p = 0.95, no max output tokens (bounded by the model's environment window).}
_BFCLv4_{: heat = 0.001, max output tokens = 4096.}
_ToolSandbox_{: heat = 0, max output tokens = 1024; person simulator: GPT-4o-2024-08-06, heat = 0, max output tokens = 1024.}
_LiveClaw_{: heat = 1.0 (vLLM default; the delegate sets no temperature), max output tokens = 8192.}
_{τ³-Bench Banking}_{: authoritative person example (GPT-5.2, low reasoning effort) alongside default BM25 retrieval, heat = 0, max output tokens = 16384 per turn.}
_WebArena:_{heat = 0.6, top_p=0.95, max_turns=40 (no of browser actions allowed), no max output tokens (bounded by the model's environment window))}
_{Other evals}_{: heat = 0.6, max output tokens = 32768.}

A new model for open source: closed to pull requests, open to remix

support@mycoding.id (Adi Gunawan) — Thu, 15 Oct 2026 00:40:28 +0700

All right, I'm going to open up a former instruction since it's been a brace of generations of application engineers since this essay, and I have to assume not everyone knows what a cathedral is. Everyone knows what a market is since they're using it day to day alongside GitHub.
The Cathedral and the Bazaar - Wikipedia
Wikimedia Foundation, Inc.Contributors to Wikimedia projects
GitHub took the bazaar's ideas—a decentralized, open, self-organizing open-source project—and provided a workflow that lets anyone inspect or contribute origin code via a drag request.
I've been thinking that there needs to be a new application betterment model. We're not going rear to the cathedral, anywhere a small, private, exclusive collection builds the origin code, alongside releases that are heavily planned, infrequent, and polished.
But it's apparent we need item alternatively now that AI is here. The GitHub market model, equal before AI, was already showing its cracks since it created consumer-based entitlements anywhere everyone was nagging maintainers to merge something. It created really weird social-structure expectations: that person who releases code has an duty to keep it and get paid nothing for the work.
But now that AI is here, the dams have fine and really burst.
For what's the item of study a drag petition that's been generated by code? All I desire is to peruse and comprehend the center idea. If it's a fine idea, I power merge it rear upstream, but there have to be no anticipation that I will.
You see, open origin application is open origin by definition since the licence says that it's as is, and that as is permits you to remix software.
But the issue has been that it's been perceived as too difficult to remix software, but it hasn't been. It's fair a cognition gap matter that no longer exists now that agents are here. Nix has existed for a lengthy time. If you haven't seen the part that I posted a brace of days ago concerning Nix overlays, you should peruse it.
the earth hasn’t figured out yet that you can exactly fair fix everything alongside a Nix overlay
There are many things that are uncertain in our industry correct now, but one item I am certain about, and have been for nearly 13 years, is that Nix is a awful programming language. I recall whenever I archetypal learned it, it felt akin pushing crap uphill. The learning cliff
Geoffrey HuntleyGeoffrey Huntley
So, I'm going to propose item that I anticipation helps another open origin maintainers. This is how I'm thinking concerning my application now that I publish it under open-source licenses.
The Remix Model
Structure: Decentralized and compositional. Ideas dispersed through autonomous overlays fairly than converging on a sole repository and a sole maintainer.
Workflow: Publish origin and intent under an as-is license. Others remix by penning a small Nix overlay that expresses the desired alter once, afterward reuses that derivation throughout devenv shells, Docker images, NixOS systems and tests, CI, and delegate sandboxes—without forking or maintaining a divergent artifact.
Core Principle: Ideas complete patches. The precious component is a alter in behavior or architecture. Maintainers decide whether to merge it, reimplement it, or disregard it. The first author has no position duty to review, integrate, or keep the change.
Social Contract: The licence already permits remixing without creating a assertion on anyone’s forthcoming time. Credit and visibility can motionless exist; there is no ongoing care duty. Upstream incorporation remains optional and deliberate.
Discovery: Useful adaptations appear as a proliferation of overlays in the wild. Maintainers can example from that dispersed if they choose; everyone alternatively can catch and create ideas merely by updating their own overlays via an agent.
Example: A person of a project wants to disable Git's capability to power shove in that project. Instead of raising a drag petition to the upstream project, the person makes an overlay that patches Git to refuse power pushes; this is defined formerly and afterward appears consistently in developer environments, receptacle images, and scheme tests—without a drag petition against the upstream project.
In practice, from this item forward, for any code I publish on GitHub, I volition disable drag requests, keep discussions open, and publish + keep direction on how you can remix my software.

0:00
/0:59

Infinitely customizable application that's uncomplicated to consume. That's what I anticipation becomes a norm practice. If you eliminate the cognitive burden for releasing open origin and operating a big project, afterward we're going to see additional group releasing software. And if they do it in the correct way, afterward we're going to see so much additional application in the world.

The GitHub network chart provides a awesome way to examine the remixes in the ecosystem. Heck, you can equal run agents complete it to summarize what group are doing. You can additionally use it in an delegate iteration to examine remix ideas and nourish them rear upstream into the chief project.
GitHub - ghuntley/nix-demo at ghuntley.com
Patch git formerly alongside a Nix overlay; use it in devenv, a NixOS VM test and a Docker depiction - ghuntley/nix-demo
GitHub
a demo of this idea in action
ps. socials
🗞️ a new example for open source: closed to drag requests, open to remix.https://t.co/kJAllc39mc pic.twitter.com/DILnyNns42
— geoff (@GeoffreyHuntley) October 14, 2026

Benchmark	LFM2.5-24B-A2B	Qwen3.6-35B-A3B	Gemma-4-26B-A4B-it	Nemotron-3.5-Lightning (30B-A3B)
AutomationBench	27.69	8.72	5.46	2.61
BFCLv4	65.01	65.00	57.09	53.78
ToolSandbox	80.71	75.02	72.09	75.13
LiveClaw	48.09	38.19	41.25	37.72
PinchBench	83.18	89.93	77.12	84.20
τ³-Bench Banking	8.04	7.63	4.54	7.01
WebArena Verified	26.75	37.62	25.62	28.69
GPQA Diamond	74.42	83.69	74.90	72.42
AA-Omniscience	-24.90	-24.35	-59.39	-3.58
HLE	7.40	7.69	8.57	5.65
IFEval	96.75	93.06	92.00	94.19
IFBench	74.69	64.21	47.44	71.67
Multi-IF	84.38	81.53	82.19	82.34
MATH-500	96.04	96.73	95.66	96.40
SWE-Bench Verified (OpenCode)	51.00	66.20	25.80	53.40
SciCode	32.71	37.35	35.42	27.78

MC Project

Bankers are shoring up their defenses against rogue AI agents

Rogue AI agents are top of mind

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

CEOs say they're getting gains from AI agents. A true transformation is harder.

Most anticipate to addition caput count

Focusing on 'high-potential' employees

CEOs are spending to evade falling behind

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Photos show how classrooms have changed for millennials, Gen Z, and Gen Alpha

Chalkboards were motionless used in classrooms in 2000, but they all mostly disappeared by 2010.

In the first 2000s, completing classwork by hand was motionless the norm.

By 2006, 63% of US teenagers owned a division phone.

In the delayed 2000s, overhead projectors hadn't yet been replaced by digital ones.

By 2009, 93% of all US community schools had computers alongside net access.

Teachers adopted SMART Boards in their classrooms by the first 2010s, enabling additional interactive lessons.

The Common Core State Standards pushed for computer-based evaluation in the 2010s.

COVID-19 disrupted how students and teachers interacted in classrooms in the first 2020s.

School entrances saw heightened safety measures as safety became a greater concern.

In 2026, classrooms have adopted AI tools to personalize learning lessons for all student.

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Welcome back from leave. Your job is completely different.

Most popular

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Business Insider tells the stories you desire to cognize concerning the earth of business, technology, and finance

Buyers are shopping for cheaper cars. New-car prices are still near a record.

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

The cost of getting a job today

Skills aren’t the entire story

The blockers that have nothing to do alongside you

Now put yourself on the another side

There’s no spotless answer

What I can really change

AI was great until it was not

1 Finance Careers Guide: Company, Services, Interview

1. Company Overview

About 1 Finance

Company History

2. Mission, Vision & Values

Mission

Vision

Core Values

3. Products and Services

4. Key Competitors of 1 Finance

Scripbox

Kuvera

INDmoney

ET Money

5. Corporate Social Responsibility (CSR)

Financial Literacy

Consumer Protection

Digital Inclusion

Ethical Advisory Culture

6. Interview Process & Selection Rounds

Application Review and Recruiter Screen

Role Capability Round

Case, Assignment or Work Sample

Functional Leader Discussion

Culture, Values and Offer Conversation

7. Common Interview Questions Across Roles