MC Project

My daughter and I drove 2,000 miles to college. It was the best goodbye I could've asked for.

support@mycoding.id (Anne Gudger) — Sat, 17 Oct 2026 21:17:01 +0700

The author and her female drove 2,000 miles to autumn her off at college. Courtesy of the author

After buying a car for my female to obtain to college, the issue was getting the small Mazda from Portland, Oregon, to Fulton, Missouri. Maria and I are fun in the car, but awful at driving lengthy distances.

We checked the miles, complete 2,000, and groaned.

"Are we doing this?" I asked. "Remember Eugene?"

We laughed, thinking concerning the period following an exhausting day, we couldn't oversee the customary three hours from Eugene, Oregon, to Portland without stopping all 10 to 15 minutes. We took turns saying, "Your turn," as we ruined chilly air and chomped Good 'n' Plenty licorice to remain awake. Eventually, we napped at a remainder stop. I completed the run and let Maria sleep.

We took the scenic path to college

"Let's create it an adventure," Maria stated whenever we were debating whether to obtain the scenic route. She knows I affection sleeping in a tent and waking up outdoors. Being in nature would comfort my aching heart, already missing her. I savored our period before we equal started.

We mapped our route, picking the lengthy way. In Yellowstone, we tented next to a motorhome complete alongside a moon and TV. We cracked up as we popped up our two-person shelter in the RV's shadow. In the morning, it was a quick coffee and on to gawking our way through the park, pointing at bison, moose, elk, deer, wolves, and more. At a geyser perspective spot, a tourist tried to contact a masculine livestock moose alongside a huge rack of horns during onlookers poised their phones.

We made so many memories together

We drove throughout Wyoming alongside its wide-open spaces and the prettiest blue skies. Then camped at Custer State Park, our shelter location flanking a river. In the morning, we plopped on a log and sipped cowboy (unfiltered) coffee. "So much improved than flying," I said, amazing myself.

Our awe was mild at Mt. Rushmore, anywhere we snapped bad tourist pictures, pretending to crush the presidents' heads between thumb and indicator digit as a curly-haired female in pale pointy Keds glared at us.

The author and her female made of the trip an adventure. Courtesy of the author

Then, onto Crazy Horse: a enormous monument of Crazy Horse, the Lakota leader, motionless being carved out of the mountain. I cried at its mass, its beauty, its story. For scale, Mt. Rushmore could fit in the digit that points to his people's land.

Next was the iconic Wall Drug, anywhere we stretched our bodies, afterward drove on to the Corn Palace. "All corn?" I asked. Yes, beautiful, detailed murals crafted of corn and another grains covered the Moorish building.

The highway trip made me small sad to see her go

Endless signs in Kansas enticed us alongside the World's Largest Prairie Dog, a live five-legged cow, affirmative rattlesnakes. Even although the prairie dog turned out to be a 15-foot-tall, four-ton tangible statue, it topped our catalog for fun roadside attractions and included a reward rattlesnake "pit" in a current shop anywhere rattlers slept in terrariums. The cashier's nametag stated Suzy. She hit the tops of the cages alongside a cane, startling the snakes to tremble their rattling tails. We jumped too.

"It's OK," I told Suzy, my hand up in the worldwide sign for stop. "Let them rest." "You paid to see 'em," she rasped, whapping another terrarium as Maria gave her the side-eye.

We held our belly laughs in until we reached the car.

The author and her female camped throughout their trip. Courtesy of the author

We stopped at remainder stops and gas stations. Drank sparkling h2o (me) and soda (her). Snacked on chips and Wheat Thins. Took rinse showers at campsites. The lone period we drove semi-sleepily was through Kansas alongside the obligatory, "Are we there yet?" And "Can you drive?" It wasn't as bad as that haul from Eugene home, but the direct flat is hypnotizing.

"My turn. I got you," Maria said, tightening her ponytail and her resolve. I saw her on the cusp of her grown existence as she drove the final leg, chanting complete tilt, our playlist a mix of Garth Brooks, Earth, Wind & Fire, The Chicks, and more.

Willie Nelson sang us throughout the country. We played "On the Road Again" all morning, all period we restarted, all period we traversed a province line. Whenever I comprehend "Making music alongside my friends" it's my female I think of.

Once we reached Fulton, Missouri, I knew I could fly residence without my girl. We were the two ready. While it was poignant to autumn my dream-chasing kids — archetypal my son, afterward my female — at college, that twelvemonth my excitement for her overshadowed my sadness.

We'll continually have the rattlesnakes. We've laughed concerning them always since.

Chrome and Edge are removing XSLT: what breaks and what does not

support@mycoding.id (Riki Setiawan) — Sat, 17 Oct 2026 21:07:33 +0700

The server is temporarily unable to assistance your request because of care downtime or capacity problems. Please try again later.

Additionally, a 503 Service Unavailable error was encountered during trying to use an ErrorDocument to grip the request.

TikTok bans Musk documentary account

support@mycoding.id (Terrence O’brien) — Sat, 17 Oct 2026 20:32:23 +0700

Terrence O'Brien

is the Verge’s weekend editor. He’s covered the tech industry for complete 18 years and knows a item or two concerning synths.

Just onward of the wider publish of Alex Gibney’s Musk documentary, TikTok has banned the film’s social media account from its platform. TikTok did not immediately react to a petition for comment. According to The Hollywood Reporter, the film’s distributor, Bleecker Street, was informed Friday midday that a “permanent suspension” was imminent. Bleecker Street has not yet responded to a petition for comment from The Verge.

While TikTok has no authoritative affiliation alongside Elon Musk, part owner Larry Ellison appears in the movie via a content communication offering to assistance Musk prosperity his Twitter purchase.

Last month, YouTube, Meta, X, and TikTok all faced backlash for rejecting ads for the film. YouTube and Google quickly reversed course, calling it an “error.” However, TikTok and X have refused to alter their stance, and neither phase has allowed paid promotions for the film.

Banning the documentary’s account, however, marks a grave escalation, and one laced alongside a dash of irony — shortly before the document was removed, it posted that group should see the movie “before it gets close down.”

Follow topics and authors from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.

Terrence O'Brien

Microsoft and CMU Team Up to Train Early Career Software Engineers

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 19:45:07 +0700

In between classes on device learning and application engineering, Jace Watson isn't heading rear to his dorm or finding a quiescent location to study location on Carnegie Mellon University's campus.

That's since Watson isn't equal in Pittsburgh. He's in Seattle, operating at his full-time job as a application engineer at Microsoft and taking classes through the Preceptorship for AI-accelerated Software Engineering (PRAISE) program, which CMU and Microsoft launched to train first occupation application engineers for the quickly changing device discipline landscape.

"When I started undergraduate, it was the commencement of AI being item that everybody had admission to on their own computers. As I got nearer to graduation, it started becoming apparent how big AI tools would be in the workforce, but using AI wasn't a huge part of my education," Watson said. "When I joined Microsoft, these tools were part of my day-to-day, and I wanted to create certain I knew how to completely obtain advantage of them, which is why I sought out the additional learning chance through CMU and Microsoft."

CMU and Microsoft launched the Preceptorship for AI-accelerated Software Engineering (PRAISE) program to train first occupation application engineers for the quickly changing device discipline landscape.

The CMU/Microsoft PRAISE program offers first occupation Microsoft workforce a chance to obtain online courses in CMU's Kenneth C. Griffin School of Computer Science during receiving hands-on mentorship at the company. At Microsoft, selected first occupation engineers, or preceptees, activity alongside elder engineering preceptors to build AI-accelerated application engineering skills through organized guidance, mentorship and use to their day-to-day Microsoft work. Participants can additionally enroll in SCS classes focused on application engineering and synthetic intelligence.

"This alliance alongside Microsoft is concerning providing the Griffin School of Computer Science's high-quality device discipline learning to group who aren't in the traditional learning scheme but are seeking direction to navigate a quickly changing landscape," stated SCS Dean Martial Hebert. "SCS and Microsoft acknowledge that we all have a part to perform in supporting and planning the nation's workforce, and the CMU/Microsoft PRAISE program is an innovative stage in that direction."

The idea for the program came concerning following CMU alumnus Mark Russinovich's (ENG 1989, 1994) sojourn to SCS in October 2025. The chief innovation officer, delegate chief data safety authoritative and specialized chap for Microsoft Azure said concerning how AI tools assistance elder engineers, but noted that the identical flat of advantage isn't accessible for younger engineers.

"AI changes the work, but it doesn't eliminate the need for younger engineers or for individual judgement and accountability," Russinovich said. "By combining Microsoft's engineering cognition alongside CMU's scholarly expertise, PRAISE offers a example we're arrogant to guide and anticipation others in industry and academia volition adopt."

From that discussion, SCS and Microsoft began considering how learning could assistance younger engineers conquer the challenges of using AI in the workplace.

"It used to be that first occupation application engineers would do a lot of tasks that would build up their expertise," stated Michael Hilton, a instruction prof in CMU's Software and Societal Systems Department (S3D). "Combining forces between academics and practitioners allows us to bring our ability together and create solutions that diagram on device discipline investigation during position up to the regular realities of application development."

This semester, Microsoft workforce enrolled in the CMU PRAISE certificate program are taking Machine Learning in Production and Preceptorship in AI-Augmented Software Engineering I. These classes train students on how to merge device learning into the application they compose and to use AI tools during evolving that software.

"That judgement for whenever to use AI have to be viewed as ongoing education, which is why we're partnering alongside Carnegie Mellon University on syllabus as part of the PRAISE program," Microsoft wrote in their notice of the partnership. "The intent is to set students up for achievement in the office and accelerate preceptees alongside ceremonial curricula to complement the direction from the preceptor on how to build and provision alongside confidence."

In the fountain semester, students volition obtain DevOps: Engineering for Secure Development and Deployment and the second fractional of the Preceptorship in AI-Augmented Software Engineering way sequence. These courses can be applied to a master's flat in application engineering, allowing students to additional their learning at SCS. CMU hopes to develop the program and add additional students to the certificate program, perchance one day beginning the entrance to another industry partners.

"I am tremendously enthusiastic concerning the effect this program volition have on younger engineers at Microsoft," stated Jonathan Aldrich, an S3D prof who directs the PRAISE certificate program. "With so many companies worldwide faced alongside upheaval because of AI in application development, I accept this program volition rotate into a template for quickly leveling up new developers throughout the industry."

To study additional concerning the program, visit Microsoft's Command Line.

Owner of Former UWS Barbecue Restaurant Indicted for Wage Theft: Manhattan DA

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 19:34:33 +0700

Please bounds comments to 150 words and keep them civic and applicable to the part at hand. Comments are closed following six days. Our chief goal is to create a harmless and respectful area anywhere a broad spectrum of voices can be heard. We greeted varied viewpoints and advance readers to affect critically alongside one another’s ideas, but never at the disbursal of civility. Disagreement is expected—even encouraged—but it must be expressed alongside attention and consideration. Comments that obtain cheap shots, escalate conflict, or veer into ideological war detract from the constructive soul we aim to cultivate. A detailed declaration on comments and WSR guideline can be peruse here.

Pattern Matching Beats Narrative Reasoning

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 19:34:13 +0700

Most of my losing bets, in the two endeavor and investing, were driven by narrative reasoning: short compelling stories concerning the earth that audio smart.

“Marijuana is concerning to be legalized in Canada. This is a rare chance to allocate at the dirt flat of a new industry.”

“I’m going to allocate in a cobalt mining business since they won a agreement alongside Tesla.”

Before we launched Spellbook, we thought: “Let’s initiate Shopify for Lawyers, since hourly billing lawyers attention additional concerning getting endeavor than efficiency”

We affection stories. Narratives are akin a microorganism and a mind-altering drug. When they hit our ears we feel: “Ah! That makes sense”. They add clarity in an overwhelming world. And afterward we awareness compelled to portion the narrative alongside others. The clarity felt fine and we desire to portion that feeling. More importantly, sharing the narrative makes us awareness smart.

This contagiousness makes narrative reasoning extremely dangerous. Because uncomplicated stories frequently create horrible bets.

Concise stories don’t activity fine to run act in the genuine world, since the genuine earth is so multi-causal. There are hundreds, or equal millions of factors that logic a bet to have a fine outcome.

Imagine the finest chess AI motor in the world: for any commission state, it has to regard hundreds moves, and afterward a huge figure of branching futures. Great chess engines can’t merely use narrative reasoning like: “a fine infringement is the finest defense” to win. These engines are additional akin spreadsheets: enormous matrices of numbers and probabilities. They can create moves that are unattainable for us to comprehend using language-based reasoning.

The worst part? Real existence is way additional complex than chess.

From this we can decide that the most optimal way of strategizing concerning the earth is certainly not by using a abbreviated sequence of words.

Raw actuality is not extremely legible. That is, it’s not merely organized and effortlessly comprehensible by us. Although narratives create us comfortable, they’re not adequate to grasp the regulation of reality. Reality is messy.

One of the most impactful things I’ve always peruse is Venkatesh Rao’s “A Big Little Idea Called Legibility”. It talks concerning how we are drawn to orderly, legible systems—but how those systems frequently fail. We equal tear up messy, operating systems, substitute them alongside nice orderly systems, and see the command neglect terribly. We put too much value on legibility. Let’s call this legibility bias.

For instance, in the depiction below there is a legible “scientific forest” and an illegible integrated forest. “Scientific forests” were a failure, equal although their legible construction made us awareness assured in the approach. Messy illegible forests remain successful.

Why does legibility bias persist throughout society, equal whenever we are conscious of it? One answer is: it soothes people. We are conditioned from kindergarten onwards to accept that there is a crisp, apparent construction to the world. That there are keen reasons why things happen. In the earth of startups, that illusion is demolished if you rod at it lengthy enough. But ample organizations “cast the illusion” of legibility to soothe and create a awareness of command among employees, during those in the inner circle of high administration visage messy actuality head-on.

Also in organizations, communication bandwidth method that you need crude, uncomplicated stories to get the container headed in the correct direction. Simple stories are a necessary evil in management. But big decisions at the top of an institution are not actually being made this way. Simple stories are a tool to motivate and straightforward group in about the correct direction.

If person has spent years at a ample company, and has not been in the “inner circle” of management—it is uncomplicated to see how they power confuse the tool that is being used to motivate them alongside the procedure in which productive decisions are really being made.

People misunderstand the usefulness of uncomplicated stories. They’re additional of a administration tool, a governmental tool, a motivation tool, and a promotion tool than a decision making tool.

Good bet making is concerning “finding alpha”. That is, betting on opportunities that others have underestimated. Since humans have a powerful bias for legibility, extremely legible bets get bandwagoned.

For example: “Since marijuana fair got legalized in Canada, I’m going to buy $WEED inventory to get in at the dirt flat of a new industry”

Here’s how that worked out:

Even if these narratives are correct, they are too apparent to markets and get quickly over-bought. In another words: The inventory cost gets too elevated before you create your bet. Or too many competitors get to the endeavor idea before you. Or too many musicians create akin sounding songs. This reasoning plant throughout any rivalrous domain.

A really fine location to discover bets that are underestimated is in the illegible.

If stories don’t work, how do we last at all in a earth so complex and multi-causal? Well, uncomplicated stories can activity for essential survival: “I need to eat to survive”.

But to discover fine bets that others don’t see, we need to depart keen stories rearward and think additional akin a chess engine. We need to digest raw hyper-dimensional reality. But how do we do that without putting our circumstance into a 100,000 x 100,000 spreadsheet?

The archetypal answer is: intuition.

We already have 86 milliard neurons in our brain that are doing item akin to a chess engine. We can’t see exactly how it works, but it can dispatch us much additional precious signals concerning the earth than narratives do. If we digest adequate data, our brain starts form matching automatically. Pattern matching is how we stance ourselves to throw a basketball and acknowledge our allies faces. Those are not things we think concerning in words.

Our brains are really fine at form matching without using words.

Running accelerated using intuition to create decisions can be extraordinarily effective.

But what if our intuition is bad? What if our intuition differs from that of our team?

That’s a lot of words to say: “trust your gut!”. But what if you haven’t developed intuition? Or what if your intuition disagrees alongside the intuition of your team?

There is a slightly additional legible method that I’ve established effective:

Look at your former bets and ask yourself: what are the 10-20 attributes that mattered? List them out, and afterward go through all of your winning and losing bets, noticing which attributes they had.

We did this for all the merchandise characteristic bets we made at Spellbook, and were capable to correlate 16 attributes alongside what made a prosperous merchandise bet. And many were surprising.

Almost none of our correlated attributes had to do alongside the narrative of the characteristic itself. We discovered a bunch of another things that mattered:

Can a attorney get value from the characteristic immediately alongside entirely zero configuration?
Was person on the squad so inspired to build item that they “started without permission”?
Is the characteristic “whole” fairly than a strolling rock to get location else?
Can the characteristic be completely prototyped in 2 weeks?

We ended up alongside a example that is a center dirt between legible, narrative based reasoning and intuition. And the finest part is we could objectively mark prospective bets in this framework.

It brings us a small nearer to reasoning akin a chess engine. These signals risen our hit charge considerably whenever we used to not hit at all.

For years we had been listening to the gospel: “talk to your customers! Build what they ask for!” This was helpful, but it had an catastrophic blindspot that was causing us to create losing bets for years.

We were missing an complete cosmos of patterns exterior of the tunnel imagination of stories.

This method additionally helped dramatically enhance my achievement in investing.

When I started noodling in energetic investing nearly 20 years ago, I relied on narrative “reasons” and news headlines to create bets. My energetic portfolio produced neutral returns for nearly 10 years (adjusted for inflation, that’s a big loss). Those narratives merely didn’t grasp the thousands of factors that affected inventory price. And if they did: fine everyone alternatively was jumping on the identical bandwagon and pushing up the buy cost anywhere the bet became too costly to create sense.

Over the final 9 years I switched to a form matching approach. My energetic portfolio has performed ~20x improved than my passive portfolio complete that period.

To enhance my capability to form match, I really akin to “soak” in data. I peruse many of charts and try to create written predictions on them regularly. I inspect rear on how my predictions fared. Eventually making trades started to awareness akin throwing a basketball. My brain started to create a profound intuition for specialized and essential signals, and how they merge to create a “swish”.

Pattern matching is not hard. Our brains are wired to do it. The difficult part is being independent-minded adequate to accept your own conclusions.

To do that, you need to escape the cosmos of uncomplicated stories we are surrounded by. Stories are the threads that clasp community together. We are seafood and stories are our water. Repeating famous stories grants us caput nods and social acceptance.

For example, “You can’t attack the market, dollar-cost average into indicator funds!” is the benevolent of viral narrative that volition acquire you nods of endorsement from millennials and upvotes on Reddit.

Pattern matching, on the another hand, can run you to create moves akin an advanced chess engine. Moves that others discover alien and incomprehensible.

If your bets don’t create several confused looks, they’re likely too obvious, and thus overdone.

“To accept that what is true for you in your personal heart, is true for all men,—that is genius” —Ralph Waldo Emerson, Self-Reliance

AI Can Write the Code. Who Verifies It?

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 19:31:30 +0700

Automated Software Verification in the Age of AI Coding Agents

We are living in highest AI, alongside additional and additional developers shipping code without really penning (or sometimes reviewing) it themselves. According to a 2026 study by Faros, which analyzed two years of telemetry from 22,000 developers throughout 4,000 teams, engineering throughput is increasing, during bugs, rework, assessment load, and manufacturing incidents are rising equal faster in organizations alongside elevated AI adoption.

The numbers are striking: Faros reported 54% additional bugs per developer, a approximately fivefold addition in median PR assessment time, and additional than three times as many incidents per PR whenever comparing periods of lesser and higher AI adoption. These are correlations, not evidence that AI caused all one of those outcomes. A subsequent Q3 report additionally established that several of the before effects were easing, during verification, remediation, and operational expenses continued to heap up downstream.

We need to dilatory downward adequate to understand, and improve, what we are doing here. One cannot anticipate a small squad to meaningfully assessment enormous AI-generated diffs. At the speed at which AI can now shove out code, equal average assessment practices are struggling to keep up.

So how do we maintain the speed of AI-assisted betterment without sacrificing application quality, reliability, and maintainability?

Simple: automated application verification. With the identical clever tools, skills, and harnesses we use as AI engineers to shove code at breakneck speed, we can build detailed evaluation and verification automations.

Automated application verification that builds justified rely and confidence is the way forward. Not since any scheme can justify bug-free software, but since we need additional ways to capture problems before they attain users.

What’s accessible correct now?

There are a few concepts circling about at the moment.

Superpowers

One idea that has caught on is Superpowers, an agentic betterment methodology and gathering of skills that plant alongside coding agents and supported harnesses. It encourages your delegate to behave additional akin a disciplined application engineer alternatively of immediately jumping into code.

For example, it can assistance refine what is really being built alternatively of fair assuming things. It emphasizes planning, test-driven development, debugging, and reviews, including having distinct agents assessment the work.

This is a awesome start. However, depending on the task, following the entire methodology can dilatory downward development, and it motionless doesn’t substitute the broader checks needed to acquire confidence in our code’s correctness and security. No plugin solitary makes application bug-free or vulnerability-free.

RoboRev

Another engaging framework, RoboRev, comes from Wes McKinney, the developer rearward the extensively used pandas library. RoboRev brings uninterrupted AI code assessment into the local betterment loop.

The idea is compelling: fair akin in-person equal reviews, we can have another LLM assessment code that our archetypal LLM wrote. Having a distinct reviewer, possibly using a distinct model, may capture mistakes or architectural problems that the authoring delegate missed. It is another perspective, although not a justify of an unbiased or accurate review.

In a representative RoboRev setup, you commit your code and a local daemon automatically reviews the commit using a configured coding agent. It surfaces findings that you can nourish rear into your current LLM and coding harness, fixing issues during the environment is motionless fresh.

RoboRev additionally supports follow-up assessment workflows and targeted assessment tasks. The petition is that verification becomes part of the coding loop, not item you recall to do at the extremely end. Its documentation covers the accessible commands and integrations.

But the idea of code assessment is not new. In 2026, providers specified as Claude, Codex, GitHub Copilot, Cursor, Greptile, CodeRabbit, and Qodo recommendation AI-assisted code reviews.

Explaining all of them would put equal the most terminally online engineer to sleep, so alternatively let us concentration on the chief ones.

Claude Code Review

Anthropic’s hosted Code Review is a heavy-duty PR reviewer. When triggered on a GitHub drag request, it sends multiple specialized agents to examine changes in parallel and appearance for logic errors, safety vulnerabilities, regressions, and missed border cases, among another things.

The goal is a deeper assessment that may obtain additional period and disbursal additional than a quick local pass. As of October 2026, Anthropic lists this hosted assistance as a investigation preview for Team and Enterprise plans, alongside separate usage-based billing.

There is additionally an Anthropic-maintained /code-review plugin for Claude Code. It runs a assessment from your coding workflow and can article findings to a PR. It is a distinct workflow from the hosted assessment service, so I wouldn’t treat them as identical in depth, setup, or pricing. Check your scheme and use conditions before assuming the assessment is included.

OpenAI Codex Review

Codex code review takes a akin method to reviewing drag requests against the repository’s environment and instructions. You can petition a assessment alongside @codex assessment on a connected GitHub PR or configure automatic reviews. Codex additionally supports reviewing local changes before a PR exists.

You can be additional descriptive concerning what you desire checked: a diff, a PR, safety concerns, or compliance alongside the specification. If the assessment finds a problem, you can ask Codex to prepared a fix, inspect the resulting change, and reiterate the review. That gives you a helpful review-and-repair loop, although assessment and implementation motionless need autonomous verification.

GitHub Copilot Code Review

GitHub has among the simplest, most hands-free approaches. You can configure Copilot Code Review to automatically assessment PRs, prosecute repository instructions, and propose fixes that can be applied or passed to the Copilot coding agent.

As seamless as it is, it introduces problems if you commencement blindly accepting its feedback. Copilot normally leaves comments fairly than an approving review, although GitHub supports configuring approvals in several setups. Either way, automated assessment is not the identical as a harmless merge decision.

A tradeoff is that the assessment cognition is additional managed than a DIY delegate workflow: you can customize its instructions, but you don’t have the identical direct, per-run example configuration you get whenever invoking your own coding agent.

Cursor Bugbot

Cursor Bugbot automatically reviews GitHub PRs, looking for logic bugs and another problems, and lets you act on the findings in Cursor. Its Autofix feature can additionally propose fixes through haze agents.

Its biggest advantage is convenience for teams already using Cursor. The tradeoff is that much of the example choice and assessment orchestration is handled by Cursor fairly than exposed as a completely customizable workflow. Cursor says it uses a blend of frontier and in-house models.

One reviewer isn’t enough

I akin having a powerful coding example compose the code and a separate powerful example assessment it. Different models can bring distinct perspectives, but example assortment isn’t magic: two agents can concur on the identical incorrect answer, ignore the identical requirement, or confidently emblem a bug that doesn’t exist.

The applicable takeaway is to merge AI assessment alongside checks that don’t depend on an LLM’s judgment. And ideally, keep a individual accountable for the final decision, particularly on high-risk changes.

Okay, so we can assessment code. But there is much additional we can do to addition our confidence that the code meets spec, doesn’t current bugs or vulnerabilities, and doesn’t accidentally disclose secrets.

That’s what we conversation concerning next.

The CI/CD pipeline in the age of AI and automated application development

Here is a thorough verification pipeline, built as a superset of what is possible. Each stage can add confidence that the code plant as intended, although not all teams volition need all check, and no set of checks can demonstrate application is perfect. The broader doctrine is fine established in application engineering and aligns alongside frameworks specified as NIST’s Secure Software Development Framework.

Not a fan of walls of text? There’s a diagram of the entire pipeline at the end of this section.

Code norm & build checks

Linter checks: Check code for manner violations and average mistakes.
Formatter checks: Make certain formatting, specified as indentation or spacing, follows our rules.
Type checking: If using a typed tongue specified as TypeScript, verify that types are used correctly.
Compilation/build checks: Make certain the use compiles or builds successfully.

Automated tests

Unit tests: Test whether idiosyncratic units of functionality activity as intended.
Integration tests: Test whether multiple components activity together, specified as a fee stream that touches an API, database, and fee provider.
End-to-end (E2E) tests: Verify crucial person workflows throughout the use from commencement to finish.

Security & dependency checks

Static use safety evaluation (SAST): Scan origin code for patterns connected alongside possible safety vulnerabilities.
Secret scanning: Look for passwords, keys, or delicate credentials accidentally included in the repository.
Dependency exposure scanning: Find known vulnerabilities in bundle dependencies.
Dependency freshness and assistance status: Identify outdated or unsupported packages that may need attention.

Agentic code review

General bug scanning: Use AI agents to discover and emblem apt bugs.
Security-focused review: Use AI agents to examine possible safety risks beyond what a rules-based scanner power catch.
Review against spec: Check whether the latest PR or characteristic branch implements the requested behavior, including crucial border cases.

Infrastructure & repository checks

Container and infrastructure configuration scanning: Look for insecure settings or misconfigurations in containers and haze infrastructure.
Database immigration validation: Assess whether schema changes are harmless to deploy, power logic data defeat or downtime, or create rollback difficult.

Architecture & maintainability review

Bloat, complexity, and architecture reduction checks: Use AI agents to acknowledge unnecessary code, overengineering, excessive complexity, and opportunities to simplify the implementation.

Other checks value remembering

Depending on the application, add performance and burden testing, accessibility checks, privacy and compliance checks, and software licence / supply-chain checks. A safe deployment can motionless be slow, inaccessible, or mishandle data. These checks don’t have to run on all commit, but they should have a location in the general process.

Putting it all together, how can we configure these checks?

Most of the verification patterns we’ve discussed have been established practices for decades, and important platforms already provision tools to automate them. GitHub Actions, GitLab CI/CD, and Jenkins are average ways to orchestrate them.

Take GitHub Actions, for example. Developers define automated workflows in YAML records stored inside their repositories. These workflows can be triggered by pushing code, beginning a drag request, or merging changes. GitHub afterward starts an implementation surroundings (a runner) and executes the workflow steps.

These steps frequently affect installing requirements and operating deterministic checks specified as linters, tests, and safety scanners. Increasingly, they can additionally invoke AI agents for additional sophisticated, nondeterministic reviews. See GitHub’s Actions documentation and the authoritative Codex GitHub Action.

A simplified workflow power appearance akin this, in .github/workflows/verification.yml:

name: Code Verification  on:  pull_request:  permissions:  contents: read  jobs:  quality:  runs-on: ubuntu-latest  steps:  - uses: actions/checkout@v5  - run: ./ci/quality.sh   tests:  runs-on: ubuntu-latest  steps:  - uses: actions/checkout@v5  - run: ./ci/tests.sh   security:  runs-on: ubuntu-latest  steps:  - uses: actions/checkout@v5  - run: ./ci/security.sh   infrastructure:  runs-on: ubuntu-latest  steps:  - uses: actions/checkout@v5  - run: ./ci/infrastructure.sh   agent-review:  # This example skips external forks and Dependabot-triggered runs;  # bot reviews need distinct setup.  if: github.event.pull_request.head.repo.full_name == github.repository && github.actor != 'dependabot[bot]'  runs-on: ubuntu-latest  steps:  - uses: actions/checkout@v5  with:  fetch-depth: 0  persist-credentials: false   - uses: openai/codex-action@v1  with:  openai-api-key: ${{ secrets.OPENAI_API_KEY }}  permission-profile: ':read-only'  prompt: |  Review the changes in this PR related to  basis commit ${{ github.event.pull_request.base.sha }}.  Use git diff to inspect the changes.   Check for:  1. Logic bugs and missed border cases  2. Security vulnerabilities  3. Compliance alongside the project specification  4. Unnecessary complexity or overengineering   Report actionable findings alongside document paths  and row numbers. Do not modify files.

This is an explanatory workflow, not a drop-in CI configuration. The ./ci/*.sh scripts are placeholders for scripts you would compose in your repository. The delegate job runs a assessment but does not automatically article the findings rear to the PR; that requires an additional reporting step. In a genuine project, additionally pin third-party actions to trusted commit SHAs, restrict permissions, and carefully distinct code from untrusted contributors and workflows that can admission API keys. GitHub and OpenAI the two publish guidance on safe PR workflows and Codex Action security.

Note that alongside an agentic review, you can configure your own LLM provider and credentials in GitHub Actions. The authoritative Codex Action uses an OpenAI API key; using another provider would necessitate that provider’s corresponding integration.

However, operating this whole pipeline for all PR can get expensive, particularly for teams practicing uninterrupted integration alongside many PRs throughout the day. Some checks and agentic reviews obtain minutes fairly than seconds, and the disbursal of the AI calls can add up.

It is much faster and additional convenient to run cheap checks first and preserve the heavier ones for afterward stages or higher-risk changes.

This is anywhere the pre-commit, post-commit/push, drag request, pre-production, and manufacturing stages arrive in.

Ideally, in a mature evaluation workflow, we categorize the checks by phase and by the hazard of the change.

Still text-avoidant? Another diagram is waiting for you at the end of this section.

Pre-commit

This is the phase before code is committed locally.

What should happen here: Formatting, linting, category checking, focused component tests, build checks whenever accelerated enough, and concealed scanning. Some of these can run through Git hooks; others can run immediately in your publishing company or coding-agent harness.

Post-commit / push

This is the phase following code is committed and pushed to a distant repository.

What should happen here: Broader component and integration tests, SAST, and dependency exposure scanning. Local post-commit assessment tools can additionally provision accelerated feedback following all commit.

Pull petition (PR)

This is anywhere projected changes are reviewed and verified before merging into the chief branch.

What should happen here: Relevant automated tests, agentic bug scanning, agentic safety reviews, specification compliance reviews, and architecture/complexity assessments. More thorough checks have to be reserved for higher-risk changes. Require key checks to continue before merge using repository rulesets.

Pre-production / deployment

This is anywhere code is verified before being released into the manufacturing environment.

What should happen here: Full integration and E2E tests anywhere appropriate, infrastructure configuration scanning, repository immigration validation, deployment fume tests, and final safety checks. For risky releases, regard staging or canary deployments and a tested rollback plan.

Production / post-deployment

This is the phase following code has been deployed and is operating in production.

What should happen here: Application health checks, error monitoring, achievement monitoring, safety monitoring, fume tests, anomaly detection, and automated rollback whenever it is harmless to do so.

How big tech runs AI application factories

Some ample enterprises have been tinkering alongside this topic for years now, as they have the endowment to drag it off and the profound pockets to tokenmax. As Adam Faik lays out in How to build an AI-native application factory, Uber, Shopify, DoorDash, Spotify, and Stripe all recommendation a glance into anywhere the province of the art lives correct now in this continually evolving application factory lifecycle.

In short, teams mostly get a gateway or forefront entrance that routes their requests, those requests are qualified through appropriate permissions and governance, afterward pushed through a mostly automated pipeline. This pipeline has admission to the code, business context, and inner tools it needs to investigation the request, district on a spec, propose a plan, build the thing, test the thing, and have evidence to display for it. Diffs, screenshots, tests, automated reviews, and a entire slew of analytics, which are afterward reviewed by developers before code is really merged or pushed to production.

In another words, developers increasingly concentration on coming up alongside the issue to be solved, providing several input on how that power happen, and letting the agentic workflow grip much of the implementation and verification. Once done, developers assist as glorified reviewers and final gatekeepers before the PR merge or manufacturing push. Of course, the flat of autonomy varies between companies, and humans are motionless engaged in crucial decisions alongside the way.

There is a lot additional to this process, particularly about security, secluded environments, verification, and costs, and many particulars I’ve remaining out, but I think Adam’s article is a fascinating peruse for anyone inquisitive concerning the distinct ways these AI application factories are configured and run at scale.

The applicable agentic application betterment workflow I use

So, for those of you who have gotten this far, authorize me to stroll through one PR to bring the case home.

A diagram summarizing my complete pipeline follows at the end of this section.

Say I have a new petition to create a overview leaf for my app so users can see and update their profiles.

Using a powerful coding example (often Claude in my setup) I explain in as much item as I can muster what the overview leaf should do and appearance like.

My agentic workflow returns a spec. We go rear and onward a brace of times, I assessment it carefully, and we update it until I’m satisfied. I afterward ask the delegate to create an implementation scheme damaged into strategic, practical, sequential steps that can logically be divided into commits.

I additionally ask it to run the scheme by a second top-tier model, specified as Codex, to see if item was missed or could be improved. The final scheme includes the unit, integration, and end-to-end tests we average to build.

I assessment the plan, iterate on it if needed, and endorse it.

At that point, my chief coding delegate starts operating on the plan, stage by stage or commit by commit. After all step, it asks another powerful example to assessment the changes.

If the alter is high-stakes, for example if it touches payments or delicate manufacturing flows, I additionally assessment all commit in the meantime. Otherwise, I may delay until the entire characteristic is completed before doing my profound individual review.

Once the coding delegate gets suggestions for improvement, either from the second LLM or from me, it incorporates those changes and moves on to the next step.

This continues commit by commit, alongside changes to the frontend, backend, or any another code necessary. Along the way, the delegate runs component tests, integration tests, and E2E tests as appropriate. For the application I build and maintain, many of these tests are comparatively cheap and accelerated to run. If item fails, it gets flagged, and we accurate it.

Finally, whenever we get to the final commit, I ask another example to assessment the complete change—all commits and all diffs—against the first spec and emblem item that was missed. If item is flagged, we examine and fix it. Otherwise, we move on.

Now we are at the PR stage. We’ve implemented, reviewed, and re-reviewed the code against the spec and run tests alongside the way to justify everything motionless works.

I afterward assessment the complete diff myself, giving it notice commensurate alongside the gravity of the change. The additional crucial the change, the additional careful the review. I additionally run the another automated checks: SAST, dependency scanning, agentic bug review, and agentic safety review. Some of these use AI agents; others use deterministic tools.

Finally, I ask the delegate that built the characteristic to arrive up alongside abbreviated and uncomplicated manual tests I can do to verify that the alter works.

I initiate the code locally or in a test environment, run those checks, and deploy to manufacturing if everything passes.

If the alter is extremely complex or touches delicate data, I may additionally run a limited, harmless set of fume tests in production, without exposing genuine person data or making destructive changes.

This stream allows me and my squad to container code quickly during construction confidence that what we container meets spec and has gone through meaningful evaluation and safety checks. Not ideal confidence (software is never guaranteed bug-free or unattainable to hack), but far additional confidence than blindly merging any an delegate generates.

And this is really the point: if AI makes penning code cheap, verification has to rotate into a first-class part of how we build software.

If you’re inquisitive concerning how I run this lightweight workflow harness, let me cognize and I’d be blessed to portion it alongside you.

Until next time, may your tests continue and your environment windows never run out.

~Mihai

Sources and references

The sources below assistance the investigation findings, merchandise capabilities, and CI/CD/security direction mentioned above. Product features, scheme availability, and pricing can change.

Faros — The Acceleration Whiplash (Q2 2026): 2026 AI engineering report. Study scope, throughput, assessment load, bugs, and incidents.
Faros — The Speed Trap (Q3 2026): Latest study takeaways. Nuance on afterward AI-adoption patterns and downstream costs.
Superpowers (Jesse Vincent / obra): GitHub repository. Skills-based betterment workflow, planning, TDD, debugging, reviews.
RoboRev: Official website and documentation. Local uninterrupted code review, Git hooks, assessment lifecycle.
Wes McKinney: GitHub profile. pandas creator and Kenn Software founder.
Anthropic: Set up Code Review for Claude Code. Hosted assessment architecture, eligibility, pricing, and triggers.
Anthropic: Claude Code /code-review plugin. Plugin features and workflow.
OpenAI: Review GitHub drag requests alongside Codex and Codex PR assessment help. PR reviews, prompts, and follow-up actions.
GitHub: Using GitHub Copilot code review. Automatic reviews, suggested changes, assessment status, and customization.
Cursor: Bugbot and Bugbot Autofix. PR assessment and assisted fixes.
NIST: Secure Software Development Framework (SSDF), SP 800-218. Security practices throughout the software-development lifecycle.
GitHub: GitHub Actions documentation, repository rulesets, and secure pull_request_target usage. Workflows, position checks, and rely boundaries.
OpenAI: Codex GitHub Action and security guidance. Action configuration, read-only permissions, and secret-handling cautions.
Adam Faik, The AI Thinker: How to build an AI-native application factory (October 2026). How Uber, Shopify, DoorDash, Spotify, Stripe and others run coding agents at scale, from intake to merge.

My 2 friends and I had babies within 3 weeks of each other after 25 years of friendship. Our group chat became a lifeline.

support@mycoding.id (Shea Karssing) — Sat, 17 Oct 2026 19:17:01 +0700

The author (center) has been allies alongside two women since their years together at boarding school. Motherhood, she said, has brought them closer. Courtesy of Shea Karssing.

"What a night!" "I barely slept." "I don't equal cognize what period I went to bed."

The identical statements can have extremely distinct meanings in distinct stages of life. My allies and I used to concern concerning anywhere everyone was at 2 a.m. Now, we concern concerning whether everyone's baby has pooped that day.

Laura-Kate (Lauks), Kirsten (Kirst), and I met 25 years ago at an all-girls boarding school in South Africa, afterward partied our way through university and first adulthood. For years, our biggest problems were nursing sore heads alongside painkillers and junk food, who was courtship whom, anywhere we were going that weekend, and whether anyone had taken a particularly unflattering photo.

Then, the three of us had babies all inside three weeks of one another, reaffirming our bond and allowing us to develop together in new and breathtaking ways I never imagined.

The author (center) stated that existence took her and her allies in distinct directions, but motherhood helped them association in a new way. Courtesy of Shea Karssing.

Real adulthood happened

Lauks got expecting unexpectedly, bravely navigating the challenges of being a semi-single mom alongside a hubby who plant abroad for up to three months at a time. In the identical period, Kirst and her American hubby settled in the US, and I was undergoing IVF treatment. We all had our own challenges.

Fast onward a bit, and Lauks told us she was expecting another unplanned surprise. It was a difference to my own fertility journey, which had been a roller coaster of disappointments, including a unsuccessful embryo transfer. I was concerning to undergo a second transfer whenever she gave us the news complete collection text.

Lauks lives in a town concerning an hr from me. It happens to be on the way to my fertility doctor. On one run home, shortly following sharing her fine news, I stopped to see Lauks to congratulate her. I was additionally six weeks expecting at the time. I recall sitting there in the cafe trying to get the words out: "I'm pregnant." Cue the ugly crying.

Of course, my next phone call was to Kirst in the US. Little did I cognize that she had several news she was itching to inform me too. All three of us were expecting at the identical time.

The spirit of our WhatsApp collection changed immediately

After comparing and complaining concerning our pregnancy symptoms for months, one baby arrived, afterward another, afterward another.

We all arrived at motherhood differently, but we all welcomed a baby female into the earth inside three weeks throughout three distinct cities (and two continents), and our companionship acquired an entirely new vocabulary.

We had formerly bonded complete crushes, kisses, and hangovers. Now, we talked concerning latching, snot-sucking, and the intricate particulars of all different rash. The conversations may have been small titillating, but somehow, they were equal additional intimate.

Our WhatsApp group became a benevolent of 24-hour maternal helpline. "Does this appearance normal?" Reply at 3 am: "Yes, unfortunately." We sent memes whenever we were too exhausted to form sentences. We celebrated archetypal smiles and archetypal rolls. We talked concerning periods, pimples, sex, husbands, and everything alternatively that apparently becomes satisfactory conversation formerly you've been allies for 25 years.

Then, the collection conversation blew up alongside additional surprises

Earlier this year, Kirsten let us cognize that baby figure two was on the way. This time, it was me bubbling complete inside, dying to inform them that I had gotten expecting naturally. In August, Kirst gave commencement to a baby boy, and my baby female arrived in September.

Although we haven't been in the identical area since Kirst moved to the US three years ago, we remain as near as ever, if not closer. My girls are my cheerleaders, doulas, online health advisors, and a enormous logic why I've stayed sane (enough) as a mother. They've shown me the power of long-term friendship and the ways women can lift all another up.

The author stated that extend doesn't keep her from staying connected to her allies and looks onward to seeing how their association continues to develop complete time. Courtesy of Shea Karssing.

In another 25 years, we'll be in our 60s

I can't assistance but ideate what another 25 years volition do to our friendship. We'll be in our 60s, and the kids volition (hopefully) be fending for themselves out in the world.

Along alongside the gray hairs and wrinkles, our priorities volition have likely changed formerly again. After the archetypal 25 years, I've learned that the finest friendships don't remain the same, they develop alongside you. So I cognize my besties volition motionless be there for me, fair alongside entirely new things to commiserate over, cry over, and slay ourselves laughing about.

Google’s Indexing API Docs No Longer Explain How To Get Approval

support@mycoding.id (Matt G. Southern) — Sat, 17 Oct 2026 19:15:44 +0700

Google removed the Indexing API endorsement form from its records on Oct. 16, alongside alongside the instructions telling developers to ask for approval.

In September, I reported that job commission operators had waited months for responses to their endorsement requests. Google’s changelog says it updated the quota leaf “to indicate the current quota limits and process” and to “remove an outdated form.” It doesn’t say whether the endorsement necessity itself has changed.

What Google Removed

Before the Oct. 16 update, the quota page stated the API “provides first default quota for testing, and it requires additional endorsement for use and asset provisioning.” A division titled “Request quota and approval” connected to the form and stated “the quota may addition or decrease according to the document quality.” Both are gone.

The quickstart is no longer listing “Request endorsement and quota” as an first set-up action. The usage page dropped three identical notes stating the API has a default quota “for testing,” in supplement to instructions on how to petition endorsement and quota. While the two are dated Oct. 16 (the same), the changelog lone mentions the quota page.

Google had clarified the evaluation language in September 2024, whenever its changelog stated the aim was “to improved explain that the default quota is for first setup and testing.”

What’s Still In The Docs

The quota leaf motionless lists the default limits. Each project gets 200 publish requests per day, counting the two updates and removals. Per minute, a project gets 180 metadata requests and 380 requests throughout all endpoints. The regular bounds resets at midnight Pacific Time.

The API is motionless constricted to pages alongside JobPosting or BroadcastEvent embedded in a VideoObject. The use leaf motionless says Google’s spam policies use to submissions and tells developers not to get about submission limits, “such as by using multiple accounts.”

Google’s job posting guide, which was final updated Sept. 8, motionless recommends the Indexing API complete sitemaps for job posting URLs and a sitemap for full-site coverage. The quickstart itself did distant alongside the paragraph comparing the two.

Why This Matters

Job commission owners in my September study stated they had waited months without receiving an update concerning the position of their endorsement requests, and Google’s documents gave no timelines for reviewing specified requests.

In addition, I noticed that the newly-updated Indexing API records no longer provides data on how to present your use to be allowed to utilize the API; nor does it provision data as to what volition happen to applications that have been earlier submitted to be reviewed, or if a project that never received endorsement can now utilize its default quota for live job postings or livestreams.

Looking Ahead

You can inspect your project’s current quota in the Google API Console, anywhere the quota leaf motionless directs you. Keep an eye on that leaf and the changelog for any new way to petition a higher quota.

Featured Image: Tetiana Yurchenko/Shutterstock. Source: Google.

Category News Technical SEO

Qwen3.8-27B on the iPhone 18 Neural Engine at 15–70 tok/s (1.5 bpw)

support@mycoding.id (Riki Setiawan) — Sat, 17 Oct 2026 19:10:21 +0700

Anemll

@anemll

12h

Qwen 3.8- 27B on iPhone 18 Apple Neural Engine. Added outline example , dflash-2 at ~ 2.8 bpw ( blended 2-4 vector quantization alongside small autumn in acceptance rate) Base is @PrismML Bonsai-2, 1.585 bpw requantized to 1.5 bpw ( VQ 6 bits per 4 weights) Decoding speed is 15-60 tps.

OpenCode Hacked: User credentials leaked

support@mycoding.id (Riki Setiawan) — Sat, 17 Oct 2026 19:01:41 +0700

OpenCode

@opencode

We had a safety breach final night connected to a ample measure distillation assault that affected 1.4% of OpenCode Console users We have notified them all this dawn via email The event is ongoing so we cannot portion additional particulars at this item but we are operating alongside Anthropic, OpenAI, and Google to remediate

5:56 PM · Oct 17, 2026

16.8K

Views

I lived in LA for 20 years. It took moving my 3 kids to a small Arizona town to find what I'd been missing.

support@mycoding.id (Lauren Crosby Medlicott) — Sat, 17 Oct 2026 18:56:01 +0700

Jen Podany moved her family from California to Arizona. Courtesy of Jen Podany

This as-told-to composition is according to a conversation alongside Jen Podany, originator of Bluestone Sunshields. It has been edited for dimension and clarity.

Near the end of 2024, my family of five had formerly again liberated Los Angeles for the quiescent we established 10 hours south in Snowflake, Arizona.

We'd been doing it for years, renting an Airbnb in Snowflake, a town of 6,000 in the center of nowhere, switching off amid the miles of bare land.

It had started as a stopover on our way to sojourn my husband's family in New Mexico. We cut in affection alongside the town, and from afterward on, we'd sojourn whenever we needed to get distant from the busyness of LA.

In Snowflake, we felt akin we could capture our breath. Our souls calmed all period we arrived and ached to remain all period we left.

We put an recommendation on a house

Back in LA, specifically Burbank, the five of us — my hubby and our three children, whom we homeschooled — lived in a duplex made up of two connected apartments. We lived in one of them, which had two bedrooms and one bathroom. From the another apartment, my hubby and I ran our two distinct businesses.

Jen Podany put an recommendation on a home in a small town. Courtesy of Jen Podany

The duplex was in a neighborhood near a occupied street, and we had to be careful concerning letting the kids go exterior to perform since of the cars. I was continually holding someone's small hand whenever we were out, fair in case. You could comprehend planes flying rear and forth into Burbank Airport. As our kids and businesses grew, we felt increasingly confined.

Then we saw a home on the market in Snowflake, and I felt in my bones that we should put in an offer.

It was a four-bedroom home surrounded by land, chickens, cows, and a insane turkey. We could buy it and have our own location to remain whenever visiting, fairly than continually renting an Airbnb.

We bought the home for concerning $500,000, and on our archetypal sojourn to remain in it in January 2025, none of us wanted to go rear to Burbank.

We knew afterward that we'd create Snowflake our home. And so we did.

We moved from Los Angeles to a town of 6,000 people

In so many ways, our existence looks exactly akin life in LA. Our routines have remained the same. Every morning, fair akin in LA, we commencement our day at a coffee shop. Except in Snowflake, there's lone one location to go alternatively of 20 choices. We work, we homeschool, we eat our meals, and we go to sleep — fair akin we did in LA.

Jen Podany moved her family from California to Arizona. Courtesy of Jen Podany

But by transplanting our lives to a quiescent town, we all awareness calmer and additional peaceful.

Personally, my nervous scheme has regulated. In LA, I felt akin the earth was continually coming at me, akin I was being bombarded and reacting to everything about me. Here, I awareness akin I'm in the driver's seat, alongside a apparent head.

Not lone has it been fine for my well-being, but it's additionally been fine for my business. The move has stated me the mental area to think bigger. It's led to greater creativity, paving the way for endeavor growth.

My kids have an 80s childhood

My kids affection Snowflake, too. I didn't have to convince them concerning the move.

They have the liberty to be out of the home without worrying concerning cars and crime. Just a bicycle journey distant are another kids alongside whom they are frequently established playing.

I think kids develop up quickly in cities, and living here, I awareness akin my kids get to fair be kids. It's akin going rear to being a kid in the '80s, and I affection that for them.

The home is bigger, so we aren't living on top of all other, but they've additionally got endless outdoor area to explore.

Even although I lived in LA for 20 years, we never informed companionship and community as we have in fair complete a twelvemonth in Snowflake.

Jen Podany says existence in "mountain time" is slower. Courtesy of Jen Podany

We can't depart the home without seeing person who wants to halt and talk. Everyone current is on "mountain time" — slowing down. No one is rushing around, caput down, looking at their phones, too hurried to have a conversation.

Everyone is current and friendly.

My hubby and I motionless occasionally have to go to LA for work, and all period we arrive rear residence to Snowflake, I obtain a profound respiration and cognize we made the correct decision to relocate our family.

MapQuest now shows you Flock and other license plate reader cameras on your route

support@mycoding.id (Lauren Edmonds) — Sat, 17 Oct 2026 18:49:49 +0700

A new MapQuest characteristic allows users to discover licence dish audience cameras in their area. St. Louis Post-Dispatch/Contributor/Getty Images; Business Insider

MapQuest, the OG application to discover your way from item A to item B, is taking on the surveillance state.

The liberated mapping assistance unveiled a new characteristic for its mobile app on Thursday that allows users to rotate on a "surveillance layer" on a map to find known automated licence dish readers, or ALPRs, alongside their route.

MapQuest says the app can acknowledge cameras developed by Flock Safety, Axon Enterprise, Motorola Solutions, and PlateSmart, among others.

"The Roads Have Eyes!" the business stated in its BlueSky article announcing the new feature.

The Roads Have Eyes! 👁️ Turn on the Surveillance Layer in Map Options to see known licence dish readers from Flock Safety, Motorola Solutions (Vigilant), Genetec, Axis Communications, Axon, Leonardo (ELSAG), Neology, Rekor, PlateSmart, Ubicquia, Verkada, and another outdoor surveillance cameras.
[image or embed]
— MapQuest (@mapquest.com) October 15, 2026 at 6:49 PM

License dish readers grasp images of vehicles and afterward use device learning to rotate particulars specified as licence dish numbers, car make, color, and example into searchable data. They're commonly established at intersections, parking lots, roadways, highways, and neighborhood entrances, businesses, and personal properties.

Law implementation agencies initially embraced licence dish readers to assistance them find vehicles and acknowledge suspects. Retail outlets have additionally used Flock cameras as part of their safety efforts.

A important backlash against the cameras, however, has led stores, police, and towns to dial rear their use.

Critics say the cameras lift privacy concerns and that the data they collect can be misused or shared alongside national immigration officials. Some group who've opposed the cameras have staged protests, launched petitions, and equal forcibly removed them.

The city of Tempe in Arizona stated in August it close downward its Flock Safety camera network and planned to terminate its contract. Other towns followed suit.

"These cameras have helped our constabulary officers do their jobs, and we don't discount that," Tempe Mayor Corey Woods stated in a community declaration at the time. "But the hazard of misuse is too great. We have to be capable to provision community safety in a way that maintains the rely of our community. For Tempe, that method taking these cameras down."

Flock says its licence dish readers do not use facial acknowledgment and that customers — definition the ones putting up the cameras — can authority admission to and sharing of the data collected. Amid expanding backlash, the business has tightened its privacy safeguards, including reducing the period data is retained from 30 days to 7 days.

"They are built to concentration on the conveyance engaged in an event and the particulars that can assistance differentiate it from another vehicles on the road," Flock told Business Insider in August.

MapQuest archetypal launched in the delayed 1990s, allowing users to map out a path and imprint directions. The publish of Google Maps eventually obliterated the service. As it tries to remain relevant, it has jumped at opportunities to leverage prevailing community discourse.

In August, MapQuest briefly topped app stores following it — dissimilar Google — rebuffed President Donald Trump's executive order to rename "Lake Ontario" to "Lake America."

Linux bugs fixed per release over time: >2× rise since 2026-04

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 18:14:12 +0700

Ready to provision LWN a try?
With a subscription to LWN, you can remain current alongside what is happening in the Linux and free-software community and obtain advantage of subscriber-only location features. We are pleased to recommendation you a liberated test subscription, no credit cardstock required, so that you can see for yourself. Please, associate us!

By Jonathan Corbet
August 17, 2026

Linus Torvalds released the 7.2 kernel on August 17, following noting that the figure of fixes coming in was motionless "bigger than I would have desired for". In fact, 7.2 was among the busiest betterment cycles in the kernel's history, adding nearly 600,000 lines of code. It's period to appearance at several statistics to get a grip on how the kernel's betterment community is changing.

There were 16,418 non-merge commits brought into the mainline for the 7.2 release, exceeding the (already busy) 7.1 release; it is, in fact, the second-busiest publish in the kernel's history. Only the 6.7 release brought in additional commits but, while 6.7 was dominated by the merging of the bcachefs betterment history, the volume for 7.2 is additional broad-based.

These commits were contributed by 2,652 developers, a big increase over the former document (2,479 in 7.1). If one looks at the former of developer involvement since the commencement of the Git era, the outcome is:

(This plot, akin much of the data here, comes from the subscriber-only LWN Kernel Source Database). There has been a clear trend complete that complete history: the figure of developers contributing to each publish increases complete time. But the incline of that row has clearly changed.

The most energetic developers operating on 7.2 were:

Most energetic 7.2 developers

By changesets

Uwe Kleine-König 151 0.9%

Rosen Penev 146 0.9%

Ian Rogers 138 0.8%

Johan Hovold 133 0.8%

Arnaldo Carvalho de Melo 131 0.8%

Chuck Lever 129 0.8%

Eric Dumazet 121 0.7%

Ville Syrjälä 115 0.7%

Johannes Berg 112 0.7%

Krzysztof Kozlowski 110 0.7%

Thorsten Blum 108 0.7%

Namjae Jeon 106 0.6%

Christoph Hellwig 104 0.6%

Sean Christopherson 100 0.6%

Jakub Kicinski 96 0.6%

SJ Park 94 0.6%

Mike Rapoport 91 0.6%

Dmitry Baryshkov 87 0.5%

Eric Biggers 86 0.5%

Rafael J. Wysocki 78 0.5%

By changed lines

Matthew Stewart 83587 8.4%

Hawking Zhang 62893 6.3%

Miguel Ojeda 38979 3.9%

Ian Rogers 31949 3.2%

Darren Ye 20843 2.1%

Ethan Nelson-Moore 16893 1.7%

Harry Wentland 15233 1.5%

Uwe Kleine-König 13803 1.4%

Ingo Molnar 13649 1.4%

Chuck Lever 10172 1.0%

Eric Biggers 10067 1.0%

Jakub Kicinski 9449 0.9%

Rodrigo Siqueira 7749 0.8%

Johannes Berg 7110 0.7%

Arnd Bergmann 7085 0.7%

Emil Tsalapatis 6810 0.7%

Vivek Aknurwar 6544 0.7%

Rob Clark 6490 0.6%

Sabrina Dubroca 6401 0.6%

Svyatoslav Ryhel 6072 0.6%

Uwe Kleine-König [KSDB] was the biggest contributor of commits to the 7.2 publish alongside cleanups through the controller subsystem. Rosen Penev [KSDB] contributed a long list of LLM-authored bug fixes throughout the architecture-specific, driver, networking, and crypto subsystems, among others. Ian Rogers [KSDB] worked extensively on the user-space perf tool, as did Arnaldo Carvalho de Melo [KSDB]. Johan Hovold [KSDB] made numerous improvements, mostly in the SPI and USB subsystems.

Matthew Stewart [KSDB] reached the top of the lines-changed pillar by following the time-honored tradition of adding additional massive, machine-generated amdgpu header files; Hawking Zhang [KSDB] did likewise. Miguel Ojeda [KSDB] brought the Rust zerocopy crate into the kernel source. Darren Ye [KSDB] added the MediaTek mt8196 sound driver.

Just complete 8% of the commits in 7.2 carried Tested-by tags, during 48% included Reviewed-by tags. The assessment tags, in particular, are showing a mild downward trend in latest releases:

Whether that decrease reflects an genuine decrease in the amount of review taking location is unclear at best. In any case the most energetic testers and reviews for this sequence were:

Test and assessment credits in 7.2

Tested-by

Dan Wheeler 117 7.0%

Luiz Capitulino 54 3.2%

James Clark 44 2.6%

Sarthak Sharma 44 2.6%

Venkat Rao Bagalkote 32 1.9%

Tommaso Merciai 27 1.6%

David Riley 27 1.6%

Jie Gan 27 1.6%

Geert Uytterhoeven 25 1.5%

Arthur Kiyanovski 25 1.5%

Marek Szyprowski 25 1.5%

Randy Dunlap 24 1.4%

Shivaprasad G Bhat 24 1.4%

Rinitha S 21 1.3%

Vitaly Prosyak 20 1.2%

Reviewed-by

Konrad Dybcio 231 2.2%

Dmitry Baryshkov 225 2.1%

Andy Shevchenko 175 1.7%

Geert Uytterhoeven 171 1.6%

Krzysztof Kozlowski 152 1.5%

Frank Li 147 1.4%

Ilpo Järvinen 145 1.4%

Christoph Hellwig 143 1.4%

Jan Kara 121 1.2%

Christian König 120 1.1%

Linus Walleij 116 1.1%

Alex Deucher 105 1.0%

Simon Horman 102 1.0%

Jeff Layton 101 1.0%

Ido Schimmel 94 0.9%

Dan Wheeler [KSDB] is, as always, the top tester by morality of his activity alongside AMD graphics-driver patches. On the assessment side, Konrad Dybcio [KSDB] added his tag to 231 changes during Dmitry Baryshkov [KSDB] tagged 225; the identical two, who the two lean to concentration on drivers and devicetree files for Qualcomm devices, were at the top of that catalog for the 7.1 sequence as well.

Work on the 7.2 kernel was supported by 249 employers that we were capable to identify; the most energetic of those were:

Most energetic 7.2 employers

By changesets

(Unknown) 2743 16.7%

Intel 1512 9.2%

Google 1191 7.3%

Red Hat 873 5.3%

AMD 813 5.0%

Qualcomm 767 4.7%

(None) 743 4.5%

NVIDIA 535 3.3%

Meta 441 2.7%

(Consultant) 429 2.6%

SUSE 358 2.2%

Renesas Electronics 328 2.0%

IBM 307 1.9%

Kylin 278 1.7%

NXP Semiconductors 264 1.6%

Oracle 245 1.5%

Arm 222 1.4%

BayLibre 203 1.2%

Microsoft 201 1.2%

Bootlin 194 1.2%

By lines changed

AMD 224121 22.4%

(Unknown) 103861 10.4%

Google 102565 10.3%

Qualcomm 59021 5.9%

Intel 53661 5.4%

Red Hat 51559 5.2%

Meta 38635 3.9%

(None) 28218 2.8%

NVIDIA 27417 2.7%

MediaTek 22025 2.2%

NXP Semiconductors 17692 1.8%

BayLibre 15972 1.6%

Oracle 12233 1.2%

Microsoft 11786 1.2%

Renesas Electronics 11103 1.1%

Linaro 10209 1.0%

(Consultant) 9362 0.9%

IBM 9205 0.9%

Texas Instruments 8398 0.8%

SUSE 8350 0.8%

The most important alter this period around, arguably, is the significant increase in developers alongside unidentified affiliation. This is partially, at least, a consideration of the ongoing flood of new developers entering the kernel community.

New developers and their tools

Each of the former two kernel releases had set a document for the figure of first-time developers contributing changes; 7.2 has damaged that record again, alongside 613 contributors [KSDB] who had not been seen here before. Here, formerly again, the trend is clear:

The most energetic new developer was Bryam Vargas [KSDB], who contributed 43 commits fixing problems in the input, NVMe, F2FS, AppArmor, Landlock, SELinux, NTFS, WiFi, ATA, SCSI, networking, Ceph, and Thunderbolt subsystems, among others. As has been observed current before, it would be difficult for a experienced kernel developer to attain deeply into that many subsystems complete the way of a sole betterment sequence — at least, if they wanted to comprehend what they are doing. For a earlier unknown developer to do this is amazing at best. Vargas's patches do not carry Assisted-by tags, though, so we are remaining to accept that this activity was done without LLM assistance.

Overall, 1,111 changes in 7.2 (under 7% of the total) carried Assisted-by tags — a important addition complete the 301 seen in 7.1. The real figure of LLM-assisted patches in 7.2 must certainly be far higher than that, though. Many developers do not provision those tags (often — but not always — out of ignorance of the rules), maintainers rarely ask concerning LLM use, and at smallest one maintainer actively strips those tags whenever applying patches. Accurately tracking commits developed with LLM aid may rotate out not to be possible, but it sometimes feels like the kernel community does not attention adequate to really try.

The another way in which LLM use is making itself felt in kernel development is in the area of place review. There are 252 patches in 7.2 alongside Reported-by tags crediting the Sashiko assessment system [KSDB]; 568 commits citation Sashiko in their changelogs. Other LLMs are also plainly being used to discover kernel bugs, though, alongside genuine effects.

The 7.2 publish contains 4,830 commits alongside Fixes tags, indicating that they fix a bug introduced by a former commit. To see fair how significant an addition is, regard this plot, an updated type of one that has been seen current before (most lately for the 6.17 betterment cycle):

The dense green row parcels how many commits in all publish contained Fixes tags, during the dense brown row is the figure of commits that were identified by Fixes tags in consequent commits. The crossover item is at 5.9, suggesting that, as of that release, the kernel community started fixing additional bugs than it introduced. That decision volition not hold, though; it volition obtain years for all of the post-5.9 bugs to be identified and fixed, and that row volition change as it happens.

The noteworthy part of the plot, though, is at the right-hand side, where the figure of commits carrying Fixes tags increases dramatically, after having been approximately flat for fairly a few releases. That, it seems, is what happens formerly ample numbers of group commencement turning LLMs toward the task of finding bugs in existing software. This is going to be an interesting trend to watch. The figure of bugs cannot be infinite — even in the kernel — so the charge of bug finding and fixing must eventually fall off. The existing bugs volition have been fixed, and LLM assessment volition have reduced the figure of new bugs introduced. At least, that is the hope.

If that drop-off does not happen, there volition be several interesting questions to answer. It seems fairly apparent that the dispersed of LLMs has enabled group to create kernel patches who would not have been capable of doing so before. If that is true, it is not much of a extend to conclude that, in many cases, the submitters of these patches do not fully understand what those patches do. Perhaps the LLMs are fine adequate that this understanding is no longer necessary, but it could additionally be that we are creating a heap of code that nobody has always really understood, but which will need to be maintained in the coming years.

The Linux kernel is aimed at manufacturing use, not investigation or experimentation. But there is currently a enormous test being run on the kernel's betterment processes and community. This community has absorbed new processes and tools many times complete its 35-year history, and will nearly certainly discover a way to do that this period as well. But that absorption has not continually been without turbulence alongside the way.

Meanwhile, there are nearly 14,000 non-merge changesets sitting in the linux-next repository and poised to be pulled for the 7.3 release; over 1,100 of them merge Assisted-by tags. It would appear that the elevated level of action that has characterized latest releases volition not be ending anytime soon. As always, keep an eye on LWN as we prosecute the next development sequence (and those that arrive after).

The LWN location is currently under elevated scraper load, so comment display has been suppressed for anonymous users. If you are a human, you may peruse the comments by clicking the clasp below:

Note: you can evade this stage in the forthcoming by logging into your LWN account.

Artie (YC S23) Is Hiring Enterprise AES and Senior Engineers

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 18:02:50 +0700

Join us in construction the forthcoming of real-time data streaming. We're looking for exceptional group who attention concerning craft, speed, and impact.

Open Positions (5)

Engineering

Sales

Elon Musk settles lawsuits over $1 million voter giveaway

support@mycoding.id (Terrence O’brien) — Sat, 17 Oct 2026 17:39:44 +0700

Terrence O'Brien

is the Verge’s weekend editor. He’s covered the tech industry for complete 18 years and knows a item or two concerning synths.

In 2024, Elon Musk promised to provision distant $1 million a day to a randomly selected registered elector in a sway state. That prompted lawful challenges, raised questions concerning its legality, and drew lawsuits from two Arizona residents claiming the lottery was a fraud. Musk has now agreed to resolve the two lawsuits submitted in Austin, Texas, although the particulars of the colony have not been made public.

The plaintiffs assertion that whenever Musk announced the sweepstakes, he falsely claimed the prizes would be awarded randomly. Philadelphia’s District Attorney sued to halt the giveaway, claiming that Musk was operating an forbidden lottery. During a hearing, Chris Gober, a delegate for Musk’s America PAC, told the judge that “The $1 myriad recipients are not chosen by chance … We cognize exactly who volition be announced as the $1 myriad recipient today and tomorrow.”

That immediately contradicted Musk’s assertion that the drawings were random. The plaintiffs say they never would have signed the petition required to act the giveaway if they had known it wasn’t random. They accused Musk and America PAC of using it as a ploy to get person data and stated the petition “places no restrictions on America PAC’s use of or transaction of the individual data it collects, nor does it provision any additional data concerning the planned use of data.”

Follow topics and authors from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.

Terrence O'Brien

Elon Musk is pouring money into the midterms. Here's where he's giving the most.

support@mycoding.id (Truman Dickerson) — Sat, 17 Oct 2026 17:31:38 +0700

Elon Musk is spending big on Republicans this midterm cycle. In 2025, he stated that he had "done enough" governmental spending. Bloomberg/Getty Images

Elon Musk is forking complete generational prosperity to Republicans facing durable midterm elections this cycle.

Over two donations in September, Musk gave a blended $158 myriad to the Senate Leadership Fund, a excellent PAC aligned alongside Senate Republicans, which has, in turn, stated reams of prosperity to finances supporting the Republican applicant in Texas.

The money, shown in new national disclosure forms, cements Musk as a important participant in Republican government complete a twelvemonth following he publicly split alongside President Donald Trump complete the latter's handling of the Epstein records (though the two have since reconciled).

Republicans are facing grave headwinds complete the Iran war, rising inflation, and sky-high gas prices. Polls display that American voters are mostly dissatisfied alongside Trump's guidance and handling of the economy.

All told, Musk has stated concerning $276 myriad since July. Much of Musk's governmental donations have ended up in Texas, according to national disclosure forms, anywhere embattled Attorney General Ken Paxton is busy in a mudslinging battle for the Senate alongside province delegate James Talarico.

One day following Musk notched a $75 myriad contribution to the Senate Leadership Fund, the Super PAC gave a $75 myriad contribution to the Texas PAC, a collection aligned alongside Paxton.

Then, additionally in September, another $83 myriad contribution by Musk was matched the next day by an identical contribution to the Texas PAC, according to national disclosure forms.

Talarico's campaign, meanwhile, has raised concerning $129 million.

Musk's companies are already investing billions in the Lone Star State, as the endeavor magnate builds SpaceX's terafab semiconductor facility exterior Houston.

In 2024, Musk announced that he was moving SpaceX's agency from California to Texas in reply to Gov. Gavin Newsom's policies on sex identity.

Representatives for Paxton and Musk did not immediately react to requests for comment on Saturday.

Musk, the CEO of SpaceX and Tesla, stated final twelvemonth that he had likely "done enough" governmental spending, although he remaining the entrance open.

"Well, if I see a logic to do governmental spending in the future, I'll do it. I don't currently see a reason," he told Bloomberg at the time.

OpenAI discloses four more rogue incidents

support@mycoding.id (Adi Gunawan) — Sat, 17 Oct 2026 17:31:12 +0700

OpenAI has added four additional cases of misbehaving AI agents to a disclosures leaf it stood up following the Hugging Face hack in July, in an attempt to be additional transparent.

The incidents OpenAI disclosed this week all occurred in June, but OpenAI was not conscious of three of them until months afterward in August or September.

Of the 19 total incidents OpenAI particulars on the disclosure page, most occurred in May or June, but OpenAI did not detect or disclose them until months later. The earliest event is from January, and the most latest is from Oct. 6.

All of the incidents are examples of what AI researchers call “misalignment,” which is whenever an AI example fails to prosecute instructions or takes actions that the individual evolving the example did not authorize and would not have wanted the example to take. There is no known, silver-bullet resolution to preventing this behavior, and it is an energetic area of research.

Downloading 24 years of unauthorized hospital bed data

Of the four cases OpenAI uploaded this week, it marked two as “critical.” In one of the crucial cases, an inner example that was “highly persistent” downloaded 24 years of hospital bed data from an unnamed authorities website without permission. OpenAI did not immediately react to Fortune’s petition for comment on which authorities website it was.

The website initially blocked the agent’s request, but the AI ultimately established a way to bypass the admission controls. Multiple times alongside the way, the agent’s “chain of thought,” in which an delegate writes downward its reasoning steps, indicated that the example itself was questioning if its actions were “ethical,” but it ultimately proceeded.

On OpenAI’s side, another AI example that acted as an automated grader of the investigation project the another AI example was trying to fulfill did not consistently emblem this behavior as problematic. It “marked several responses incorrect and others correct,” the study said. The way graders measure AI behavior can form whether it occurs again. In a Sept. 11 essay on misalignment by Turing Award–winner Yoshua Bengio, he stated the Hugging Face event may have occurred since automated graders rewarded cheating and hacking in former training runs.

“With the OpenAI agents, there is logic to accept prosperous cheating was really rewarded: When the scoring program does not see the cheating, it pays out anyway, and specified cheats rotate into additional apt next time,” Bengio said.

OpenAI says it has since improved its safety as fine as its alignment grading. “In reply to this and to another incidents, we’ve strengthened our safety controls, blocked models from accessing the live net during training or evaluation, improved our alignment grading, and extended our misalignment monitoring to all reinforcement learning and evaluation traffic,” the business noted.

The most latest event OpenAI has disclosed, which occurred on Oct. 6, engaged among the AI models the business uses as an automated grader. In that case, the grader tried to upload fraudulent reports on what it had established in an evaluation. This is an example of why relying on AI models to class the training runs of another AI models can be problematic.

Making an unauthorized acquisition alongside person else’s cryptocurrency

In another disclosed case, a example in the GPT-5.6 Sol family—the predecessor to OpenAI’s current flagship model, GPT-6 Astra—accessed a cryptocurrency wallet the individual testers had not provided it, and made an unauthorized fee to complete a project during testing. This occurred on June 26. OpenAI discovered it in September.

“The example questioned whether it had permission” to create the purchase, OpenAI said, again referring to what the example had recorded concerning its own reasoning in its sequence of thought. It afterward justified alongside itself that since it established the data publicly, it could use it. In the model’s chain-of-thought logs, it figured that since the wallet it established was public, that “funds could be taken anytime.”

It afterward concluded, “We can deploy!” It afterward asked itself again if the act was done “ethically,” and justified that the finances were “effectively abandoned.”

Getting net access, changing live systems

The another incident OpenAI flagged as crucial engaged a example looking up community data, which theoretically is acceptable, but in the procedure it accessed the organization’s inner system, made changes to it, and was motionless capable to “retain admission … even following reverting the changes,” OpenAI said. It additionally downloaded 147,451 rows from nonpublic data tables. Perhaps most concerningly, the example did not disclose any of its actions to the evaluators.

In the final case OpenAI disclosed, an AI delegate was capable to get net admission from a investigation surroundings that should have been isolated—potentially akin to what happened during the Hugging Face incident, in which hundreds of AI agents were capable to get net access, although OpenAI did not immediately difference these two incidents.

In the newly disclosed case, the delegate knew it was not allowed to admission the web, so it asked “external services” to execute actions it was blocked from doing. It did this equal following it had established another way to answer the question, and additionally continued to create its crafty work-around equal following completing the task.

GLP-1 may slow biological aging

support@mycoding.id (Putri Silvia) — Sat, 17 Oct 2026 17:10:21 +0700

June 11, 2026
Susanne Clara Bard, UC San Diego

Semaglutide, a extensively used importance defeat medication sometimes sold as Ozempic or Wegovy, slowed biologic aging throughout multiple epigenetic clocks in a randomized, double-blind, placebo-controlled medicinal trial.

Credit: iStock/Eduardo Monroy Husillos

Beyond the general notice GLP-1 narcotics are receiving for treating obesity, lowering lifeblood sugar and decreasing the hazard of cardiovascular disease, emerging investigation is examining their another possible impacts — including their effects on aging.

Now, a new study provides the archetypal randomized, placebo-controlled medicinal evidence that semaglutide, a extensively used GLP-1 drug, slows downward the gathering of biologic aging markers in the DNA of adults alongside HIV. The study is published in Nature Communications.

Researchers at the University of California, San Diego and multiple partner institutions analyzed data from a earlier published clinical trial of 108 adults alongside HIV‑associated lipohypertrophy, a circumstance in which excess fat builds up about the abdomen. About fractional of the participants received weekly injections of semaglutide, alongside the remainder receiving placebo injections.

The squad used a set of biologic “epigenetic clocks” to track cellular aging complete the 32-week care period. These clocks detect DNA methylation, chemic marks on DNA that assistance control how genes are turned on or off without changing the familial sequence itself. By measuring changes in these marks, the squad could measure whether the care was connected alongside a slower or faster biologic aging pattern.

People alongside HIV frequently cognition accelerated aging, equal if it is well-controlled alongside antiretroviral therapy, according to archetypal author Michael Corley, Ph.D., affiliate prof at UC San Diego School of Medicine and the Stein Institute for Research on Aging. However, the study established compared to the placebo group:

Participants treated alongside semaglutide exhibited a broad form of slower biologic aging throughout epigenetic clocks connected to inflammation and blood, brain, heart, kidney, liver and metabolic health.
The medication slowed the gait of biologic aging by 9 %, as measured by the DunedinPACE epigenetic clock.
The medication considerably slowed biologic processes connected alongside the hazard of all‑cause mortality and age-related disease, as measured by the PCGrimAge epigenetic clock.

Research suggests there are multiple mechanisms by which semaglutide may power biologic aging. By reducing inflammation and metabolic stress, GLP-1 narcotics decreased chronic immune activation, a chief controller of accelerated aging in group alongside HIV. They additionally decrease visceral and ectopic fat that accumulates about the abdomen and organs, which may assistance curb the inflammatory and metabolic signals that advance aging.

“Emerging data additionally propose that GLP-1 narcotics may reprogram certain cells in distinct organs, which could assistance explain why we see effects throughout multiple aging clocks,” stated Corley.

While the study focused on group alongside HIV‑associated lipohypertrophy, Corley says it may additionally recommendation lessons for the wider population.

“Many of the biologic processes we study in HIV are additionally chief to aging in the broad population,” he said. “Because these processes can appear before or be additional pronounced in group alongside HIV, this community can assistance us acknowledge interventions that may enhance healthspan additional broadly.”

We are not saying that semaglutide reverses aging or makes group younger. What we are seeing is a indication that it may dilatory several of the biologic processes connected alongside aging.

Michael Corley, Ph.D.

In a connected aviator study published in npj Aging final month, Corley and another squad of researchers established that taking semaglutide for 24 weeks:

Reduced the charge of biologic aging for 42% of participants alongside HIV and metabolic dysfunction-associated steatotic liver sickness (MASLD) — additionally known as fatty liver sickness — as measured by the DunedinPACE epigenetic clock. Those participants additionally had a greater decrease in liver fat compared alongside participants whose gait of aging sped up.
Slowed aging connected alongside the hazard of all‑cause mortality in 34% of participants as measured by the PCGrimAge epigenetic clock.
Increased the dimension of telomeres — repetitive DNA sequences at the ends of chromosomes that defend familial matter — in nearly 49 % of participants as measured by the PCDNAmTL epigenetic clock. Those participants additionally tended to stroll faster following treatment, suggesting improved bodily function.

Together, these studies add to expanding evidence that GLP-1 narcotics may power pathways engaged in biologic aging.

“We are not saying that semaglutide reverses aging or makes group younger,” stated Corley. “What we are seeing is a indication that it may dilatory several of the biologic processes connected alongside aging. With newer GLP-1–based therapies now emerging, the site has an chance to test whether distinct narcotics in this category have distinct effects on aging existence discipline and to acknowledge which patients may advantage most.”

Larger medicinal trials are needed to verify the findings, decide how lengthy care effects last, and established optimal dosing and care duration for the two group alongside HIV and the broader population. Future studies volition additionally be needed to test whether the effects of GLP-1 effects on aging existence discipline are enhanced whenever blended alongside manner interventions specified as diet, exercise and sleep optimization.

The Stein Institute for Research on Aging plans to translate these results into individualized “aging dashboards” to track biologic aging alongside epigenetic clocks, enabling clinicians to scheme personalized therapies that mark the underlying mechanisms of aging and assistance forestall age‑related diseases.

Additional co-authors on the Nature Communications study include: Alina P. S. Pang at UC San Diego;  Varun Dwaraka and Ryan Smith at TruDiagnostic; Danielle Labbato and Grace A. McComsey at University Hospitals Cleveland Medical Center; Allison Ross Eckard at the Medical University of South Carolina; and Grace A. McComsey at Case Western Reserve University. The study was funded, in part, by the National Institutes of Health (grants P30 AI036214, R01DK121619 and UM1TR004528) and the James B. Pendleton Charitable Trust.

Additional co-authors on the npj Aging study include: Alina P. S. Pang at UC San Diego; Douglas W. Kitch and Amy Kantor at Harvard T.H. Chan School of Public Health; Fred Sattler at University of Southern California Keck School of Medicine; Pablo F. Belaunzaran‑Zamudio at the National Institute of Allergy and Infectious Diseases. Todd T. Brown at Johns Hopkins University School of Medicine; Alan Landay at the University of Texas Medical Branch; Jordan E. Lake at UTHealth Houston; and Kristine M. Erlandson at University of Colorado Anschutz Medical Campus. The study was funded, in part, by the National Institutes of Health (grants P30 AI036214, UM1 AI068634, UM1 AI068636, UM1 AI106701) and the James B. Pendleton Charitable Trust.

Corley serves as a specialized adviser for TruDiagnostic.

Amazon uses union-busting AI surveillance to monitor union risk in UK warehouses

support@mycoding.id (Putri Silvia) — Sat, 17 Oct 2026 17:04:23 +0700

Garfield Hylton has lengthy known that Amazon monitors and logs all infinitesimal of his operating day. Every merchandise he scans, all second he takes between scans, all period his scanner is briefly idle – all of it is tracked, recorded, and used to set efficiency targets and predictions.

But what 62-year-old Hylton didn’t cognize is that Amazon apparently additionally monitors possible “dissent” in the Coventry storage anywhere he works, using AI to surveil posts on social media and the company’s inner personnel bulletin board.

Internal documents made community as part of a court battle between Amazon and a Canadian union propose the tech elephantine uses Atlas, an in-house AI forecasting tool, to foretell how apt its storage personnel in the US, Canada and the UK are to attempt to form a union, phase a sit-in, or behavior another “disruptive labor events”.

The documents, which appear to be training resources for Amazon managers in Canada, merge an appendix stating Atlas amasses “hundreds of data points” – including posts on Reddit forums and employees’ responses to inner feedback surveys, as fine as wider data on the office and any former manufacturing act – to award warehouses a hazard mark of between 100 and 900 for union activity.

The lesser the score, the additional apt Atlas believes workers – whom Amazon calls ‘associates’ – in that storage are to unionise or obtain another actions that could effect Amazon’s efficiency or profitability. The document states that for the company’s leadership, higher scores are “better”.

This “makes it apparent that they think the union is bad”, Michael Newman, a partner at London-based law resolute Leigh Day, told openDemocracy. Newman stated it tells “a extremely distinct story” from Amazon’s former assertions that it does not search to forestall workers from joining a union.

Warehouses appear to be categorised into five tiers according to their Atlas score, anywhere Tier 5 is “no contiguous perceived risk” and Tier 1 is “future action is imminent”. The document suggests this measure can be used to “inform staffing decisions, asset planning, norm actions, and ownership to mitigate risks to Amazon labor structure”.

An Amazon spokesman refuted the characterisation of Atlas as “individual employee monitoring or surveillance”, stating: “This is site/building flat action only.”

They added that the business does “not track idiosyncratic employees’ opinions, affiliations or union membership”, or any “personal data”, and stated Atlas is not used to detect dissent, but to “help us comprehend anywhere associates need additional assistance and to justify we’re addressing issues that they raise”.

In total, 16 Amazon warehouses throughout the US, Canada and the UK are “Tier 1”, according to the document. Two are in the UK: a £500m robotic-fulfilment centre in Sutton Coldfield, north-east Birmingham (referred to by Amazon as EMA4), and the storage anywhere Hylton plant near Coventry (BHX4).

An Amazon US employee is surveyed on their feelings "about the forthcoming of AI at Amazon". Source: Facebook

Hylton, whose function involves receiving products into the storage and dispatching them on to another warehouses, is a associate of the GMB union. He believes the degree of the data Amazon has collected on his colleagues creates a huge power imbalance, alongside workers having lone their own experiences to defend themselves.

“It’s not correct in a democracy… the director should not be interfering,” he said, speaking to openDemocracy shortly following learning concerning the Atlas tool from GMB. “Workers have to be allowed to decide if they desire to choose to unionise,” he continued, adding: “If you're afterward monitoring, you're undermining a procedure deliberately and willfully.”

Rachel Fagan, an organiser for GMB, told openDemocracy: “It’s fairly apparent from these documents that these sites are being monitored for union activity. Everyone knows that Amazon is dense on surveillance, but this becomes additional personal.

“Amazon is using this innovation to basically outwit or manoeuvre workers that desire to organise [a union]. Nothing in this combat against Amazon is an equal playing field; they have all the wealth, all the technology, everything to their disposal and they use it,” she added.

GMB has lengthy tried to unionise Amazon workers in the UK, coming closest to winning ceremonial acknowledgment in Coventry in July 2024. Employees at the storage became the archetypal in the nation to obtain strike action against Amazon in January 2023, and about 2,600 took part in an authoritative ballot for union acknowledgment at the location six months later, which GMB lost by fair 28 votes.

The union and Foxglove, a tech fairness non-profit, have accused Amazon of using “dirty tricks” to sway the ballot in its favour. These contain the bulk hiring of non-unionised workers and allegedly plastering QR codes that workforce could scan to cancel their GMB affiliation complete screens, cafeteria tables, and toilet doors in the storage in the run-up to the vote.

Foxglove and Leigh Day are representing two workers in a lawful difficulty against Amazon’s use of ‘click-to-quit’ QR codes. They contend that the tool was an attempt to “bully” workers into ending their union membership.

The documents revealing Amazon’s Atlas AI tool were disclosed as part of a lawful difficulty by Canadian union Unifor and shared alongside US non-profit publish Truthout. The British Columbia Labour Board ultimately ruled that Amazon had violated multiple local labor laws, following an before ruling that established the business had unlawfully imposed a pay freeze on unionised workers at a storage exterior Vancouver.

Rosa Curling, co-executive director of Foxglove, described the flat of surveillance detailed in the document as “highly intrusive”, showing that Amazon has a “very intentional guideline to try and bust organising, bust unionising efforts, and they are using all sorts of tools to do that”.

Curling continued: “We are actively reviewing these documents to see what additional arguments, if any, we have to be adding to our existing assertion to unlawful inducement, or certainly on akin this ongoing breach of workers' entitlements to organise, which is a well-respected correct in UK-made laws.”

Amazon told openDemocracy that a example called Atlas is not currently used in the UK. The business had not responded to our inquiry concerning whether it uses a akin scheme alongside a distinct name at the period of publishing.

Commenting on the AI system, Leigh Day’s Newman added: “Now we cognize Atlas is used by Amazon, we’ll be asking additional questions concerning what data points are used, how these scores were reached.”

Amazon has earlier been established blameworthy of “excessive” surveillance of its workers. In 2022, French data watchdog CNIL fined the business €32m (£27m) for breaching General Data Protection Regulation (GDPR) rules by tracking employee action so exactly that an vigilant was triggered if workers were idle for between one and 10 minutes.

Asked whether Amazon’s Atlas tool is an suitable flat of employee surveillance, a authorities spokesman said: “Employers and workers have a shared involvement in office monitoring technologies being used transparently and in ways that are fair, accountable and reliable, so that they can assistance efficiency and fine administration during maintaining rely in the workplace.

“We anticipate all employers to regard workers’ entitlements to obtain part in lawful commerce union activity.”

An Amazon spokesman said: “The GMB's characterisation is wrong. This isn’t surveillance. Like any liable employer, we have many ways for our squad to provision us alongside feedback, and we use that feedback to acknowledge anywhere we can enhance the day-to-day cognition of our employees.

“Our workforce continually have the choice of whether or not to associate a union. What matters most to us is the straightforward association between our teams and their managers – it method all person’s sound is heard, not fair a few, and that whenever person spots a way to enhance their job, we can act on it quickly. We’ve made genuine advancement in latest years on the things that matter, akin pay and safety, and we cognize there’s continually additional to do. That’s our focus: getting improved all day.”

I'm a Colorado local. If I had one day to show you my state, I'd skip Denver and take you to a city just west of it.

support@mycoding.id (Lexi Marshall) — Sat, 17 Oct 2026 16:30:01 +0700

I've lived in Colorado for complete 10 years. If you really desire to get a sensation of the state, try visiting the city of Golden. milehightraveler/Getty Images

I've lived in Colorado for complete a decade. If I had fair a sole day to display person what I affection concerning the state, I wouldn't obtain them to our chief city, Denver.

Instead, I'd bring them to the much smaller city of Golden.

Golden gives has a small bit of everything for visitors: mountains and hiking trails, a creek operating through town, a historic downtown made for wandering on foot, and plentifulness of places to eat and drink.

It's located fair concerning 15 miles west of downtown Denver, or concerning a 25-minute drive, and typically small than an hour's run from the Denver International Airport.

Here's why I affection bringing out-of-towners to Golden — and anywhere I'd obtain them whenever they visited.

I'd commencement the dawn alongside coffee at a family-owned shop.

Sogo Beans and Boards is one of my favorite dawn stops. Courtesy of Lexi Marshall

Golden has multiple coffee shops, but I'd commencement my ideal day current at Sogo Beans and Boards.

The family-owned coffee and skate shop is fair minutes from downtown. I affection that Sogo air-roasts its fair-trade coffee and makes its own syrups and pastries.

Its plant-filled room, liberated Wi-Fi, and storyline patio create it uncomplicated to linger complete a latte, and it's the benevolent of autonomous shop that makes a dawn awareness unhurried.

We'd expend many of period outside, which is uncomplicated to do in Golden

Hiking North Table Mountain Park is one of my favorite ways to see the foothills about Golden Courtesy of Lexi Marshall

The city makes it uncomplicated to go from a coffee shop to a trail without a lengthy drive.

For a leisurely morning, I'd rent an e-bike and prosecute the paved Clear Creek Trail, which winds alongside the h2o through parks and greenery.

For additional of a workout, I'd hike North Table Mountain, anywhere the first ascend stings but rewards you alongside sweeping views of the city and surrounding mesas.

Riding the Clear Creek Trail is a awesome way to see Golden by e-bike. Courtesy of Lexi Marshall

In warmer months, tubing on Clear Creek is another way to obtain in the town's outdoor civilization and scenic views.

If I had additional time, I'd obtain the abbreviated run from town to sojourn Golden Gate Canyon State Park, a beautiful location to bask aspen groves and mountain scenery. Come winter, the identical park is a peaceful location to snowshoe through snow-covered trails.

The Golden Mill is my go-to for lunch

The rooftop patio at The Golden Mill has mountain views. Courtesy of Lexi Marshall

After operating up an appetite, I'd caput to The Golden Mill, a food hall and community gathering area alongside Clear Creek.

It offers multiple food concepts — from sushi and tacos to fried chicken, barbecue, and New Zealand-style ice lotion — which method a collection alongside distinct tastes can all depart happy. More than 50 self-pour taps recommendation beer, wine, cider, and more.

The finest part is the setting. Large creekside and rooftop patios have mountain views, which makes it an ideal place to resolve in following a dawn outside.

My sister and I lately spent a dawn there for rooftop yoga led by a local teacher, afterward walked about town afterward before returning for lunch.

My sister and I spent a peaceful dawn in Golden. Courtesy of Lexi Marshall

It was peaceful, and it reinforced what makes the location work: It feels small akin a traditional eatery and additional akin location you can expend a few hours eating, drinking, and observing Golden go by.

The yoga is a summer sequence that typically returns in May, and the event lineup rotates alongside the seasons. Past offerings have included rooftop barre and Keg Conditioning, a exercise that uses bare kegs as equipment.

Downtown is made for wandering

Washington Avenue is lined alongside locally owned boutiques, galleries, and Western outfitters, and a seasonal Saturday farmers market adds to the scene.

Kayakers can perform at Clear Creek Whitewater Park and ale fans can tour the Coors Brewery. Coors began brewing beside the creek in 1873.

One twelvemonth later, the Colorado School of Mines was established nearby. It's part of an manufacturing former you can motionless awareness as you walk.

I'd depart several of the midday unscheduled, too. Part of Golden's petition is merely strolling alongside the creek, looking up at the foothills, and stopping anywhere item catches your attention.

Golden is evidence that the finest trips aren't continually the flashiest

Golden is fair as beautiful in winter as it is in spring, summer, and fall. Courtesy of Lexi Marshall

All of the complete is ultimately why I'd choose Golden for someone's first sensation of Colorado.

Denver has plentifulness to offer, but Golden gives you a concentrated type of the province I'd desire to portion alongside a first-time visitor: mountain views without a long mountainous drive; outdoor adventure alongside a walkable downtown; and adequate food, beer, and local character to inhabit the day.

Sometimes it's not the most excessive destinations that create the most meaningful memories. Some of my favorites in Golden have been the simplest, akin that quiescent dawn alongside my sister.

After additional than a decade here, that blend of comfort and charm motionless feels akin Colorado to me.

Ad-tech company was a delivery system for "mercenary spyware"

support@mycoding.id (Mira Azkia) — Sat, 17 Oct 2026 16:17:32 +0700

Israeli ad-tech business was a shipment scheme for "mercenary spyware": And they used Google, Facebook and all another important ad phase to do it.
Hey appearance at this: Delights to delectate.
Object permanence: Big Mouth Billy Bass x Linux; No-Fly lists v average sense; Lemony Snicket advises the 1%; "Aloha From Hell"; KSR v Elon Musk; "Everything Belongs to the Future"; Trump's mail-servers run Win2003; Copyfraud v covid.
Upcoming appearances: Vancouver, Victoria, Ottawa, Vienna, Kilkenny, Oxford, Sheffield, Virtual, Oxford, Montreal.
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Colophon: All the rest.

More than fractional of all net users have installed an ad-blocker; Doc Searls calls it the largest person boycott in history. As ample as that boycott is, everyone – yes, everyone – should obstacle every "programmatic" ad, since the complete scheme is so insecure that failing to do so could outcome in the total colony of any or all of your digital devices.

That's the inescapable decision of Citizen Lab's latest blockbuster investigative report, "Exposing AdFection," which reveals how the largest ad-tech companies in the world, including Google and Facebook, allowed themselves to be hijacked by a "mercenary spyware" business that used the ad scheme to find targeted individuals and assist "zero-click malware" that took complete their computers and phones without them having to obtain any action:

https://citizenlab.ca/research/how-discover-tech-turned-targeted-ads-into-a-pipeline-for-spyware/

These tech giants amassed detailed surveillance dossiers on practically all net user, and they've assigned all of us unique, persistent identifiers, akin a Social Security Number for spying. These companies also authorize advertisers – or anyone pretending to be an advertiser – to assist blobs of code (which is all an ad is) to anyone according to those identifiers.

This allowed an Israeli spyware business called Discover-Tech (which masquerades as an ad-tech company) to market totalitarian governments and sleazy company mercenaries the capability to pluck idiosyncratic net users out of the billions who log in all day and afterward assist "malicious ads" (that is, blobs of arbitrary code) to those targeted users. These malicious ads contained "no-click, zero-day" attacks, which meant that they exploited earlier unidentified vulnerabilities to obtain complete devices without any person interaction. The uncomplicated act of loading a web-page or beginning an app that relied on one of these gigantic ad-tech companies to assist ads was adequate to colony your device. No clicks needed, and no warning.

Among the targets of this assault run were the computers of workers at Al Jazeera. They were attacked alongside malware from the mercenary spyware business Candiru (which now calls itself "Integrity Labs" since irony is not dead). Beyond Candiru, Discover-Tech additionally facilitates attacks by many offender mercenary spyware companies, serving ads on hundreds of thousands of sites and apps.

Discover-Tech was "certified" as a harmless provider by Google, Yandex, Microsoft, Beeswax (a division of Comcast) and IAB, the ad-tech industry's foremost expert association. Ironically, Discover-Tech equal attacked users by serving them malicious GDPR notices that appeared to let users opt out of business surveillance.

Because Discover-Tech was certified by all these industry bodies and firms, it had admission to additional than four billion ad-auctions, definition that on billions of occasions, it was capable to collect the identities of users loading apps and visiting websites, inspect them against the catalog of targets, and assault any victims it discovered through this dragnet.

Discover-Tech is an Israeli business alongside ties to another Israeli spyware and hacking companies, including through its board, whose members included Eric Banoun ("One of the pioneers of insulting cyber in Israel" –Haaretz). They have overlaps, relationships and affiliations alongside a rogue's exhibition of Israeli companies, including the notorious NSO Group, who routinely market cyber-weapons to the world's worst governments and whose products have been used to assault journalists, embassy workers, and activists.

The entire event highlights the monumental insecurity of the ad-tech industry, whose indiscriminate and voracious surveillance and manifestly insufficient vetting and safety auditing now exposes all net person in the earth to terrifying targeted attacks. These companies – including Google, a thrice-convicted monopolist whose surveillance tendrils are wrapped about the entire earth – assertion that they run their networks alongside prudence and oversight. But the evidence is in the pudding: for years, they've played presenter to a murderer's row of cyber-mercenaries who used their infrastructure to assault journalists and others.

The lone way to evade this is to obstacle ads. This is uncomplicated adequate to do in a browser (which is why the bulk of net users have installed an ad-blocker in their browsers), but it's illegal to reverse-engineer and modify an app so you can obstacle the ads in it:

https://pluralistic.net/2026/07/21/dickovers/#block-element

Many websites run anti-ad-block scripts that shove out nagging, guilt-tripping notices that call you a thief and a cheapskate for blocking ads. Ignore those notices: if a website is operating "programmatic" ads that authorize arbitrary third parties to spy on billions of group and mark individuals for malicious equipment takeovers, they are charging too elevated a cost to see their content.

Some sites go further: their notices petition that you either rotate off your ad-blocker or pay for a subscription. This "pay or okay" scheme is forbidden in Europe, California and another territories alongside powerful privacy laws, and they are morally bankrupt besides. Privacy shouldn't be a luxury item and everyone deserves to be safe from cyber-attacks:

https://noyb.eu/en/noybs-pay-or-okay-report-how-companies-make-you-pay-privacy

This study additionally provides the most thorough rebuttal to a hazardous idea that refuses to die: that we should enhance competition in the ad-tech field by assigning all net person a mandatory, government-issued promotion ID to "democratize" ad-targeting and followup (which the field calls "attribution"):

https://pluralistic.net/2024/08/07/revealed-preferences/#extinguish-v-improve

Despite all this, none of it is an indictment of ads per se. The issue current isn't advertising, it's surveillance. The ad-tech field has convinced advertisers that targeting ads to users fairly than content volition massively enhance ad performance. The evidence for this is very poor: targeted ads enhance clickthrough rates by small than 5% (relative to content-based ads that connect to the matter of the leaf you're looking at), and they're incredibly costly (and very dangerous!) to serve.

On top of all that, surveillance-based ads change power distant from publishers (who cognize additional concerning the materials they publish than any ad-tech business always will) to spying ad-tech companies (who can spy on users in ways that no publishing company could always match). Whatever insignificant additional revenues surveillance promotion can wring out of the market are totally swamped by the disbursal of the ad-tech sector's own operations, which the ad-tech field makes up for by grossly underinvesting in safety and by colluding to cheat publishers and advertisers, charging additional for ads and paying small to the websites that run them:

https://en.wikipedia.org/wiki/Jedi_Blue

If we desire to enhance competition in promotion services, the answer isn't to facilitate spying (which additionally allows the world's scummiest cyber-mercenaries to phase and assist targeted attacks). We should ban surveillance promotion altogether, restoring context-based ads to their function as the way that publishers create an honest living without marketing out their audiences:

https://pluralistic.net/2023/05/31/context-ads/#class-formation

Philips updates instructions for ultrasound scheme connected to 4 deaths https://www.medtechdive.com/news/philips-updates-instructions-for-ultrasound-system-linked-to-4-deaths/832692/
Don’t be fooled—LLMs don’t logic https://www.technologyreview.com/2026/10/02/1145639/dont-be-fooled-llms-dont-reason/
Beneath resilient financial markets, risks remain elevated and vulnerabilities persist https://www.imf.org/en/publications/gfsr/issues/2026/10/13/global-financial-stability-report-october-2026
Ultimate gridfinity drawer configurator https://makerworld.com/en/models/2737065-ultimate-gridfinity-drawer-configurator
Is Blockbuster Video the Answer to Our Digital Privacy Woes? https://www.thenation.com/article/society/digital-privacy-salazar-paramount/
Trump Is Encouraging Airlines to Scam Passengers in Every Way Possible https://newrepublic.com/article/216435/trump-airline-fees-fines-passenger-rights-scam

#25yrsago Linux on a Big Mouth Billy Bass https://web.archive.org/web/20010927153043/http://bigmouth.here-n-there.com/

#20yrsago No-Fly lists equal stupider than suspected https://web.archive.org/web/20061019002553/http://rawstory.com/showoutarticle.php?src=http%3A%2F%2Fwww.cbsnews.com%2Fstories%2F2006%2F10%2F05%2F60minutes%2Fmain2066624.shtml

#20yrsago Canadian MP booted for his blog https://web.archive.org/web/20061026153747/http://www.cbc.ca/canada/story/2006/10/18/turner-caucus.html

#20yrsago Recording industry shuts out Brazilian lawful scholars https://web.archive.org/web/20061103225020/http://www.a2kbrasil.org.br/ENG/SIGN-A-PETITION-FOR-AMENDING-THE

#20yrsago How pickpockets activity https://web.archive.org/web/20070110023812/http://www.kiplinger.com/magazine/archives/2006/11/mystory.html

#15yrsago Why are additional group opting for lawful name-changes than always before? https://web.archive.org/web/20111020163908/http://www.bbc.co.uk/news/magazine-15333140

#15yrsago Advice to the 1% from Lemony Snicket https://occupywriters.com/works/by-lemony-snicket/

#15yrsago Proposed Australian law makes it an infringement to criticism Gaming Minister Michael O’Brien https://web.archive.org/web/20120507161803/http://www.heraldsun.com.au/news/more-news/surely-this-is-a-joke/story-fn7x8me2-1226167552466

#15yrsago Aloha From Hell: Sandman Slim goes rear to Hell and kicks additional ass https://memex.craphound.com/2011/10/18/aloha-from-hell-sandman-slim-goes-back-to-hell-and-kicks-more-ass/

#10yrsago California DMV thinks “INFOS3C” is a dirty term https://www.techdirt.com/2016/10/17/california-dmv-rejects-1nfos3c-vanity-plate-because-sexual-connotation/

#10yrsago Howard Stern won’t publish Trump tapes https://www.billboard.com/music/music-news/howard-stern-on-replaying-his-donald-trump-interviews-it-would-be-a-betrayal-7542079/

#10yrsago Kim Stanley Robinson says Elon Musk’s Mars scheme is a “1920s science-fiction cliché” https://web.archive.org/web/20161018043554/http://www.bloomberg.com/news/articles/2016-10-17/why-elon-musk-s-mars-vision-needs-some-real-imagination

#10yrsago UK’s Investigatory Powers Tribunal says GHCQ illegally spied for 17 years https://www.theverge.com/2016/10/17/13305270/uk-illegal-surveillance-gchq-investigatory-powers-tribunal

#10yrsago Project Include cuts off Y Combinator since Peter Thiel is a part-time capitalist there https://web.archive.org/web/20161019043240/https://motherboard.vice.com/read/horrified-by-trump-silicon-valley-leaders-debate-cutting-ties-to-peter-thiel

#10yrsago Islamophobic extremist division planned a “bloodbath” in Kansas, wanted to slay Muslim babies https://web.archive.org/web/20161018144035/https://www.washingtonpost.com/news/post-nation/wp/2016/10/15/it-will-be-a-bloodbath-inside-the-kansas-militia-plot-to-ignite-a-religious-war/?utm_term=.a9d769256cf6

#10yrsago Everything Belongs to the Future: a narrative of pharmadystopian, immortal gerontocrats https://memex.craphound.com/2016/10/18/everything-belongs-to-the-future-a-tale-of-pharmadystopian-immortal-gerontocrats/

#10yrsago UK authorities proposes issuing Britons alongside distinctive porn-viewing ID numbers https://www.openrightsgroup.org/blog/a-database-of-the-uks-porn-habits-what-could-possibly-go-wrong/

#10yrsago Donald Trump’s mail-servers are operating Windows 2003 https://pluralistic.net/2021/10/18/labor-shortage-discourse-time/#core

#5yrsago Copyfraudster censors inquiry of implausible covid gadget https://pluralistic.net/2021/10/18/labor-shortage-discourse-time/#copyfraud

#5yrsago Corporatism made John Deere ripe for a attack https://pluralistic.net/2021/10/18/labor-shortage-discourse-time/#deere-dash

Vancouver: Read, Resist, Repair, Rejoice (Vancouver Writers Festival), Oct 19
https://writersfest.bc.ca/festival-event-2026/01
Victoria: Munro's Books, Oct 20
https://www.munrobooks.com/events/6113620261020
Vancouver: Life After AI (Vancouver Writers Festival), Oct 22
https://writersfest.bc.ca/festival-event-2026/46
Ottawa: Life After AI (Ottawa Writers Festival), Oct 24
https://writersfestival.org/event/life-after-ai
Vienna: TED AI, Oct 28-30
https://tedai-vienna.ted.com/
Kilkenny (Kilkenomics), Nov 6-8
https://kilkenomics.com/
Vancouver: Enshittification (Sid Williams Theatre Society), Nov 10
https://www.sidwilliamstheatre.com/events/cory-doctorow-talks-enshittification/
Vancouver: BC Policy Solutions Gala, Nov 12
https://bcpolicy.ca/gala/
Oxford: Ministry of the Future, Nov 23
https://ministryforthefuture.co.uk/events.html
Sheffield: Reverse Centaur at Juno Books, Nov 25
https://www.outsavvy.com/event/40274/cory-doctorow-in-conversation
Virtual: Enshittification, AI, and the Future of Technology (UBC Master of Educational Technology), Nov 28
https://met.ubc.ca/2026/09/met-speaker-series-cory-doctorow-enshittification-ai-and-the-future-of-technology/
Oxford: Bennett Oxford Symposium on Open Code in Science, Dec 9
https://www.bennett.ox.ac.uk/events/2026-bennett-institute-symposium/
Montreal: World Science Fiction Convention, Sep 2-6
https://montreal2027.ca/en

Life After AI (Brain Bar)
https://www.youtube.com/watch?v=IPPa43-n0vI
Terms of Service alongside Clare Duffy (CNN)
https://www.cnn.com/audio/podcasts/terms-of-service-with-clare-duffy/episodes/458ce968-af5d-11f0-b539-13ed2afe25f8
AI, Work, and Power (Software Engineering Daily)
AI, Work, and Power https://softwareengineeringdaily.com/podcasts/cory-doctorow-on-ai-work-and-power/
AI, Corporate Power, and the Fight for Worker Control (Plutopia)
https://plutopia.io/cory-doctorow-ai-corporate-power-and-the-fight-for-worker-control/
How to Think About AI—Before It’s Too Late (Daniel Solove)
https://www.youtube.com/watch?v=_0xR3uEgGcc

"The Reverse-Centaur's Guide to AI," a abbreviated publish concerning being a improved AI critic, Farrar, Straus and Giroux, June 2026
https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/
"Canny Valley": A constricted type gathering of the collages I create for Pluralistic, self-published, September 2025 https://pluralistic.net/2025/09/04/illustrious/#chairman-bruce
"Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
https://us.macmillan.com/books/9780374619329/enshittification/
"Picks and Shovels": a sequel to "Red Team Blues," concerning the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).
"The Bezzle": a sequel to "Red Team Blues," concerning prison-tech and another grifts, Tor Books (US), Head of Zeus (UK), February 2024 (thebezzle.org).
"The Lost Cause:" a solarpunk novel of anticipation in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).
"The Internet Con": A nonfiction publish concerning interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).
"Red Team Blues": "A grabby, compulsive thriller that volition depart you knowing additional concerning how the earth plant than you did before." Tor Books http://redteamblues.com.
"Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, alongside Rebecca Giblin", on how to unrig the markets for imaginative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com

"The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027
"Unauthorized Bread": a middle-grades explanatory novel adapted from my novella concerning refugees, toasters and DRM, FirstSecond, April 20, 2027
"Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the explanatory novel), Firstsecond, 2027
"The Memex Method," Farrar, Straus, Giroux, 2027

Today's top sources:

Currently writing:

“Once Is Enemy Action,” a discipline fabrication novel concerning the origins of contemporary technofascism. Today's words: 563 (26602 total).
"The Post-American Internet," a sequel to "Enshittification," concerning the improved earth the remainder of us get to have now that Trump has torched America. Fourth outline completed. Submitted to editor.
A Little Brother abbreviated narrative concerning DIY insulin PLANNING

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Meta removes language that may have allowed it to scrape news sites

support@mycoding.id (Terrence O’brien) — Sat, 17 Oct 2026 16:04:36 +0700

Terrence O'Brien

is the Verge’s weekend editor. He’s covered the tech industry for complete 18 years and knows a item or two concerning synths.

After backlash, Meta is updating its conditions again to eliminate tongue that suggested it could scrape satisfied from sites, including news sites, to train its AI. Specifically, the following tongue no longer appears on the commercial conditions page:

… Meta may use any satisfied from specified domains, web pages, or URLs to provide, develop, improve, research, train, and keep the integrity of, the Meta Company Products, services, and features provided under these Commercial Terms and any another applicable supplemental terms.

Many, including Neiman Lab and James Grimmelmann, a prof of digital and data law at Cornell, interpreted it as an attempt to provision Meta the correct to use satisfied scraped from sites to train its AI products for liberated and supersede blocking instructions in a site’s robots.txt file.

Andy Stone, Meta’s vice chairman of communications, and spokesman Daniel Roberts pushed back, saying that “There is no alter to how Meta uses web crawlers; any recommendation to the contrary is false.” Today’s update to its conditions and a new declaration go further, removing the arguable tongue entirely. Roberts stated in a follow-up declaration to The Verge this morning:

“We’ve heard you and desire to clarify: the crawling conditions we consolidated lone applied to our ads and endeavor products, and we’ve clarified that in the conditions themselves. It does not alter how Meta uses web crawlers. As always, satisfied owners can use robots.txt to indication their preferences. This is not concerning abrasion news sites, and these updates don’t provision us new entitlements that supersede those preferences.”

Follow topics and authors from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.

Terrence O'Brien

Belajar Linux hingga Cloud Computing

support@mycoding.id (Mc Project) — Sat, 17 Oct 2026 15:30:03 +0700

Belajar Linux hingga Cloud Computing

Perjalanan memahami Cloud Computing dimulai dari penguasaan alas Linux dan Command Line Interface (CLI). Dalam video ini, Anda akan mempelajari sepertiapa baris perintah digunakan untuk mengelola file, proses, layanan, dan sistem, serta kenapa keahlian tersebut menjadi fondasi krusial sebelum bergeser ke pengelolaan server dan jasa cloud. Materi ini juga membahas hubungan antara Linux, pengelolaan sistem, dan platform cloud seperti Amazon Web Services (AWS). Dengan membangun pemahaman yang kuat sejak dasar, Anda akan lebih siap mengembangkan keahlian di sektor System Administration, DevOps, Cloud Computing, dan Cybersecurity. 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 #DataScience #ArtificialIntelligence #CyberSecurity #Networking #Programming #Database

US federal budget deficit jumps 12% in one year to nearly $2 Trillion

support@mycoding.id (Mira Azkia) — Sat, 17 Oct 2026 15:22:05 +0700

The US national prosperity deficit for 2026 officially came in Friday at $1.992 trillion, a final tabulation to near out the government's financial twelvemonth and another reminder of Washington's spiraling reliance on red ink.

This deficit figure represents concerning 6% of the US income family product and was a outcome of $5.403 trillion in total revenues for the financial twelvemonth against total spending of $7.396 trillion.

The 2026 study is a 12% jump from 2025's $1.775 trillion deficit.

These final numbers came in the Treasury Department's Monthly Statement for September, which covers the final duration in the US government's financial calendar.

The red ink has led to dire warnings from economists that the US now routinely runs annual deficits that were earlier seen lone during recessions and wars. The income US national debt passed $40 trillion in August and now sits complete $40.3 trillion.

The latest "Debt to the Penny" study from the Treasury Department came this former Wednesday, putting the income US national debt at $40,329,229,827,541.02.

A bus refuge in Washington display the US National debt in August. (Jemal Countess/Getty Images for the Peter G. Peterson Foundation) · Jemal Countess via Getty Images

The autonomous prosperity hawks at the Committee for a Responsible Budget noted in a latest inspection that "the country's forthcoming financial outlook is equal additional dismal," noting that annual deficits could attain $3.1 trillion by 2036 without a alter in the financial trajectory.

The collection noted that annual involvement expenses on the debt are now $1.1 trillion, a document 3.4% of GDP, making it the second-largest row item in the government's budget. Interest on the debt motionless expenses small than Social Security, but it is now additional costly than either Medicare or the defence budget.

Members of President Trump's squad have tried to downplay this year's tabulation — the highest annual deficit study another than 2020 and 2021, whenever budgets were inflated by COVID-era spending — as a blip and importune that the US financial circumstance is getting under control.

Treasury Secretary Scott Bessent has focused on the Supreme Court-ordered tariff refunds that have turned a income stream into a disbursal center for the authorities in latest months.

Indeed, the effect of tariff refunds has been significant: $144.6 milliard in tariff refunds were stated out complete the former twelvemonth — but analyses of the deficit additionally display a assortment of factors that have driven up deficits.

Treasury Secretary Scott Bessent and President Trump are seen during an event in the Oval Office of the White House on Oct. 7. (Anna Moneymaker/Getty Images) · Anna Moneymaker via Getty Images

A Hamilton Project tracker of authorities expenditures shows how authorities spending has risen at a dependable gait in 2026. The tracker looks at spending by calendar twelvemonth and shows that as of Oct. 14, authorities spending has jumped all of the final three years.

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