Meta's AI agent, Muse, has been going buying for Leif Abraham. With Amazon blocking the AI delegate from placing orders, Abraham says that method small purchases from Amazon.

Abraham, the cofounder and co-CEO of investing phase Public, told Business Insider he's turned to Muse to acquisition mostly niche, hard-to-find products — skincare, vintage wines, a German creatine product, discontinued Levi's jeans.

"Since the item came out, I've been purchasing so much stuff," he said. "I exactly fair have to endorse the payment, and that's it."

Muse is Meta's bet that customers volition entrust AI agents to grip net errands, akin booking a eatery booking for allies or finding their next outfit. It's an first hit, rocketing to the top of the App Store charts shortly following its initiate final month.

On Sunday, Abraham posted concerning his Muse cognition on X, calling Meta and Shopify's latest integration a "win for Shopify."

"The amount of purchases I've made alongside Muse that I used to have gone to Amazon for," he wrote. "Now purchasing from the brands directly…" he added, alongside alongside a screenshot of him directing the delegate to buy products "from a reputable store."

Public, Abraham's company, offers a Muse connector that lets customers nexus their brokerage accounts to the agent. Abraham stated he has connected his own document and additionally uses Muse for regular brokerage updates and calorie tracking.

Abraham's narrative is one person's cognition and doesn't average that Amazon has an impending revenue problem. AI delegate buying has yet to capture on alongside the broad public. But Amazon's decision to obstacle Muse from making purchases on behalf of users — Amazon raised concerns concerning how Muse accessed or stored client credentials and delicate data, alongside alongside document data abrasion — risks leaving prosperity on the table, particularly if Muse buying takes off.

Shopify, meanwhile, has taken the contrary approach. The fee handling phase announced a alliance alongside Meta that lets Muse users inspect out at Shopify merchants through Shop Pay.

Abraham motionless labels himself an "Amazon mega user," but says several latest purchases weren't up to snuff. Now, alternatively of turning to Amazon for all his purchases, he uses the market lone for items that don't necessitate as much research, akin toilet paper.

After Abraham wrote on X concerning the change in his buying habits, Shopify CEO Tobi Lütke reshared the post and added that he's "hearing so many of these stories."

Not everyone's cognition alongside Muse has gone according to plan.

Abraham stated multiple of his techie allies are additionally using Muse to discover niche products, but results have varied. One friend, he said, is motionless searching for tickets to Christopher Nolan's "The Odyssey" in IMAX 70mm — a project he stated that Muse hasn't accomplished. (Granted, whether that's a Muse issue or a provision issue is a entire another conversation.)

On the surface, Nick Cholmsky looked akin a thriving teenager. 

Growing up in Ottawa, he says he was sporty and heavily engaged in basketball, had allies and a near association alongside his family. 

But underneath all that he says he was deeply depressed. The symptoms began in center academy and became much worse by Grade 11.

At 16, he had begun entertaining suicidal thoughts.

Even as his decline and anxiety grew stronger, Cholmsky believed he couldn’t say anything, since "being a man" meant pushing negative thoughts down, and that any sign of weakness would logic him shame. 

"Looking back, so much of that [congenial attitude] was for certain fair a performance, me acting the way I idea I was expected to act as a man," stated Cholmsky, now 21. 

There’s a average issue everyplace and it’s how men and boys are feeling. And they are not emotion great.- Federal Health Minister Marjorie Michel 

Earlier this year, the national authorities reported on a broad range of data showing that the mental health of young men has deteriorated since 2012. Between 2012 and 2022, the figure of men old 15 to 24 who self-reported mood disorders risen from 11 per cent to 16 per cent, during self-reported generalized anxiety disorders risen from four per cent to 10 per cent.

Those who reported their mental health as "very good" or "excellent" plummeted from 70 per cent to 52 per cent in that identical period period.

A distinct report shows that men are three times as apt as women to slay themselves and that it's the second-leading logic of death in boys old 15 to 34 (after unintentional injuries).

"There’s a average issue everyplace and it’s how men and boys are feeling. And they are not emotion great," national Health Minister Marjorie Michel told CBC News. 

"There is a lot of anxiety [about] their function as men and boys."

Social media use, gambling important issues

Research implicates a assortment of factors in men’s depression, most prominently social isolation, social media use and online sports betting.

Data from the Canadian Medical Association Journal shows a huge increase in young men calling helplines alongside gambling addictions. (Health Canada reports men are three times additional apt than women to have a gambling problem.)

Canada legalized single-event sports betting in 2021. In 2022, Ontario became the archetypal province to authorize personal companies to run alongside government-regulated industry.

A distinct study released this duration by the Institute for Clinical Evaluation Sciences (ICES) showed that since 2022, emergency area visits for gambling disorders had doubled — mostly alongside young men showing up in a mental crisis, specified as suicidal ideation or psychosis, hence of gambling losses. 

"The gambling stats didn’t astonishment me at all whenever I heard them," stated Cholmsky. "I saw kids in center academy gambling."

WATCH | Investor and podcast Scott Galloway on masculine potential:

Whether the emphasis is the outcome of gambling or item else, Cholmsky says online messaging encourages boys and men to remain silent.

"When I was going through several of my worst mental health times, I was online a lot and it was really the height of Andrew Tate," Cholmsky said.

The U.S.-born Tate is among the best-known influencers in the manosphere, celebrated for espousing strict rules for being an alpha male, specified as maximizing fitness, maintaining authority complete relationships and emotions and making as much prosperity as possible.

He retains a ample following notwithstanding being in U.S. detention on multiple offender charges, including sex trafficking.

"[Tate's] message, and a lot of that manosphere messaging for boys, is 'be a man, be tough, create many of money,'" Cholmsky said.

There are additionally trends akin "looksmaxxing." Influencer Braden Peters, additionally known as Clavicular, has amassed a huge following telling young boys sometimes to smash their own faces alongside hammers to be additional conventionally beautiful. His satisfied has additional than 40 myriad likes. Peters was charged alongside rape final month.

Experts notify hazardous function models akin this can have real-world impacts. 

"The manosphere is radicalizing young boys who don’t cognize anywhere they fit  — and that should involvement us all," stated John Oliffe, Canada investigation place in men’s health promotion at the University of British Columbia. 

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Oliffe says this was "amplified" by the earliest parts of the COVID-19 epidemic whenever earth lockdowns risen isolation and the defeat of social connection. Vulnerable teenagers frequently established themselves misplaced online. 

"There continues to be a entire earth of ache in several of that unregulated content," Oliffe said. 

Adam Kunder, a 33-year-old erstwhile firefighter who lives in Toronto, says he additionally felt he needed to keep his problems quiet. He suffered mental health issues and hit "rock bottom" before commencement to discover assistance in the summer of 2024.

"As a man, you think you are expected to be strong, shove any bad feelings down, suppress decline or sadness or fear," he said.

Kunder says he has misplaced multiple allies to self-destruction and says you never would have known they were suffering.

Gender roles and 'toxic masculinity'

Kunder stated the earth is changing in ways that are becoming confusing for many men.

The accent on women's parity in the labor power and society, as fine as a greater acceptance of non-traditional sex identities, has upended expectations.

"At one item we knew we were expected to be the provider and protector, and the idea of ‘toxic masculinity’ wasn’t a thing," he said. "I think men are really trying to fig out what it method to be a man in today’s world."

WATCH | Why manosphere influencers petition to young men:

Oliffe pointed to another troubling patterns for young men. 

"There are expanding lesser rates of boys heading to universities, and extremely grave challenges in male-dominated industries specified as construction, that as a society, we should not ignore."

Oliffe stated that during the trades recommendation fine careers, they frequently see elevated rates of matter use and mental health issues, as the necessary bodily labor and harsh operating environments can "heighten these risks." 

Oliffe stated that in the final decade, there has been "low authorities funding in men's mental health." 

"I think the theme of silence is a extremely regrettable duration in history, anywhere on one flank we talked concerning equity and inclusion, and afterward in consequence ostracized 50 per cent of the population," Oliffe said.

Health Minister Michel stated that whenever she brought this matter to the national cabinet, she was met alongside several resistance. Some colleagues told her it took "courage" to broach the mental health of boys and men, stated it could equal be politically risky to conversation publically concerning the issue. 

"I stated 'courage'? This is not courage. We are ministers of health, it is our job to obtain attention of the complete population," she said. 

"Men don't cognize how to ask for help. And whenever they are struggling, they don't cognize how to province it." 

Government scheme to arrive by first 2027

The national authorities volition shortly initiate its first-ever mental health scheme for boys and men.

The agency told CBC that several of what they anticipation to allocate in volition be "mentorship, equal support, athletics and recreation," during "promoting fit relationships, affirmative social norms and safer online environments."

For Robert Whitley, a men’s health expert and prof of psychiatry at McGill University in Montreal, part of the issue is the way community now views masculinity. 

"Traditional masculinity has been denigrated in the famous intellect whether it's through the media, through influencers, through commentators," he said. "The issue sometimes is a deficiency of masculinity." 

He says there's a need for affirmative masculine function models.

"I’ve stated many times before, it’s not a emergency of masculinity, there’s a emergency of mentorship," stated Whitley.

For example, data from Statistics Canada shows lone 25 per cent of teachers throughout basic and elevated academy systems in Canada are men. And at the organizations that stage in to inhabit the mentorship gap — akin the Big Brothers and Big Sisters of Canada — 70 per cent of volunteers are women. 

"We're getting young men who are getting to the age of 18, 19, 20, who have never had a masculine function example in their lives," Whitley said.

Kunder and Cholmsky the two say their mental health began to regain following they started asking for help, and they're now operating to be function models for another young men. 

"I awareness akin it’s my duty in a way to display up for men who are suffering and to comprehend them out and fair let them cognize it’s all OK," stated Kunder, who coaches and plant alongside another men.

Last duration in Ottawa, Cholmsky was awarded top 21 under 21 for his activity in mental health assistance and challenging "harmful stereotypes about masculinity and mental health." 

"We all need to be doing our part to conversation concerning this stuff," he said.

The US Army wants to develop a new robotics specialty pioneered by particular operations throughout the accepted power following graduating its archetypal robotics technicians.

The new specialty and expected enlargement indicate the Army's expanding condemnation that forthcoming wars volition petition specialists who can keep gait alongside quickly evolving battlefield technology. The war in Ukraine has shown how quickly innovative solutions can rotate into obsolete, forcing soldiers to modify in the field.

US Army Special Operations Command is expected to provision Army officials alongside feedback for expanding the new specialty — officially robotics technician — beyond particular operations in the coming weeks, Lt. Gen. Lawrence Ferguson, caput of US Army Special Operations Command, stated final duration at an Army conference.

"These specialized experts volition assistance command teams comprehend integration throughout the force," stated Gen. Christopher LaNeve, acting Army chief of staff, at the identical event.

"We are scaling this throughout the Army," he said.

Rather than merely flying drones, the Army is training these new robotic specialists to merge drones, dirt robots, synthetic intelligence, and another autonomous systems throughout armed forces operations. They'll assist as specialized advisors for commanders during quickly designing, modifying, and troubleshooting tradition robotic hardware and software.

That new specialty complements a second new role, the "Robotics Technology Integrators Course" graduate, whose job is to comprehend new technologies. The Army stated the need for the specialized function became apparent from lessons from latest earth conflicts.

"To keep battlefield overmatch, the Army requires a two-tiered structure: extremely specialized specialized architects (MOS 390A) who engineer and safe the systems, operating in tandem alongside tactical occupation specialists (RTIC) who run them in the dirt," explained an Army document on the two distinct but connected occupation paths shared alongside Business Insider.

It compared the Army's method to a racing team. "If the Army Special Operations wants to build a Formula 1 racing team, the RTIC Graduate is our high-performance racing driver," the document said. "They cognize how to shove the car to its limits, peruse the track, and win the tactical race."

Meanwhile, the robotics technician is the racecar's squad chief. "They scheme the engine, compose the telemetry software, rebuild the transfer whenever it breaks, and formulate the team's strategy," the document added.

Special operations isn't keeping that robotics ability to itself, though. Army leaders desire to dispersed this capability throughout the broader force.

The archetypal 10 soldiers graduated as robotics technicians on October 2 at the Army's John F. Kennedy Special Warfare Center and School at Fort Bragg, North Carolina.

The program is considered a aviator for the Army at large, alongside the Special Operations Center of Excellence engaged to evade duplicative efforts. The way volition be updated as technologies akin drones and AI evolve, employing a elastic example that allows instructors to update instruction plans.

The new specialties arrive as the Army examines which technological accomplishment sets soldiers volition need for forthcoming conflicts. The assistance has established assorted courses and schools on uncrewed systems, AI, and device learning, alongside a concentration on disseminating ability throughout formations.

"We are experiencing a SOF Renaissance as scientific advancements are swiftly transforming the character of war," stated Chief Warrant Officer 5 Gary Ostrander, Command Chief Warrant for the Army's particular war school, in an Army news publish this summer.

"There volition no longer be a period whenever a arrangement does not employ robotics innovation on the battlefield to acquire an advantage complete an adversary," he said.

Beam’s capabilities arrive from important investments in the two pretraining and reinforcement learning (RL). We pretrained the example on 23.8 trillion diverse, curated, high-quality tokens from the web and proprietary licensed datasets, matching or outperforming accessible similar-sized open basis models. In parallel, we developed the algorithms, training environments, and infrastructure needed to prolong high-compute RL at exceptional scale. Our high-compute RL run generated complete 100 myriad rollouts on 10.5K NVIDIA GB300 GPUs complete 4 weeks of training.

Together, these efforts produced rivalrous open-weight achievement alongside frontier conclusion compute efficiency.

Beam is undergoing final red-teaming and evaluations. You can sign up here for first admission to the model. We volition publish the weights, specialized report, example card, and developer artifacts afterward this month.

Model Capability

We trained Beam alongside a particular concentration on coding and agentic performance. Beam advances the Western open-weight frontier and is rivalrous alongside larger open models akin GLM 5.2 and approaching Qwen 3.8-Max on coding and agentic tasks. Where frontier open models akin Kimi K3 remain onward on raw capability, Beam's advantage is effectiveness at conclusion time.

The below fig shows Beam's achievement throughout a range of coding, agentic, reasoning, and STEM benchmarks. NR denotes scores that have not been reported.

Beam pairs coding and agentic capabilities alongside extremely productive reasoning. On advanced reasoning benchmarks, it achieves scores comparable to GLM-5.2 during using 3–4× small conclusion compute. Efficiency gains are equal additional pronounced whenever comparing to models in the 2T+ indicator family akin Qwen 3.8-Max, which necessitate considerably additional conclusion compute per token.

These results translate into additional intellect per token, delivering powerful example capabilities at lesser cost, making Beam a mighty workhorse example for endeavor coding and agentic workloads.

High-Compute Reinforcement Learning

We made high-compute reinforcement learning a chief scaling axis for Beam, investing in RL science, data, and infrastructure to rotate additional compute into stronger capabilities. Scaling RL enables additional extended exploration of problem-solving strategies, during longer rollouts assistance multi-step reasoning, tool use, and adaptation to surroundings feedback.

To measure reinforcement learning, we deployed 10.5K NVIDIA GB300 GPUs for four weeks generating additional than 100 myriad rollouts alongside a maximum environment dimension of 256K tokens. Training and grading used about 1.3 milliard sandboxes. To prolong a run of this magnitude, we originated one myriad high-quality coding, agentic, and STEM environments. We accept this is among the largest measure RL runs conducted by any open lab to date. Across our evaluation suite, capabilities continued to enhance as we risen RL compute, alongside no sign of a plateau.

We trained Beam alongside asynchronous guideline gradients. At scale, guideline staleness becomes a important origin of instability for these methods. Long operating rollouts have tokens that are generated by multiple example checkpoints, alongside before tokens becoming increasingly old related to the current policy. Numerical mismatch between training and conclusion engines additional compounds this challenge.

We developed new algorithms to keep stable learning under these conditions during systematically reducing training–inference mismatch throughout our pipeline. These advances allow completely asynchronous RL at measure that remains stable, equal whenever learning from interactions generated additional than a day earlier.

Learning to logic efficiently

We trained Beam alongside a controllable dimension penalty that rewards prosperous solutions during discouraging unnecessary tokens. Early in RL, achievement improved equal as completion lengths fell: the example learned to resolve tasks additional efficiently alongside small reasoning. Later, as Beam developed stronger agentic capabilities, completion lengths grew again, but those additional tokens supported additional gains in performance. Throughout training, RL improved the tradeoff between capability and token usage.

Users can authority this tradeoff through Beam’s reasoning attempt parameter: lesser settings favor shorter responses, during higher settings authorize longer reasoning to enhance achievement on demanding tasks. This gives users the elasticity to equivalent reasoning attempt to their project and compute budget.

How behavior generalizes alongside RL

We designed Beam’s RL training to create reasoning and agentic capabilities that generalize beyond its training tasks. During a phase of training on reasoning, application engineering, and terminal tasks, we saw accordant gains in browsing notwithstanding the deficiency of browsing tasks from the RL mixture. This transfer suggests that Beam was learning broader agentic capabilities that generalize throughout domains. When stated web access, it organically learned to hunt for and query another ample tongue models, and to use OCR APIs to peruse documents.

The demos below showcase Beam applying these capabilities throughout research, use development, gameplay, and device learning workflows. The examples range from construction a live NYC subway dashboard using community data to creating interactive applications and preparing example fine-tuning notebooks. Although Beam is text-only, it can activity alongside data from another modalities whenever represented as text. In another out of allocation domain, Beam additionally created a fine-tuning notebook for the latest and smallest Gemma-4 example on a Text2SQL task.

Together, these demos exemplify the breadth of tasks Beam can tackle by combining reasoning, coding, and tool use. Each example includes the first petition and resulting output, alongside alongside applicable setup and person iterations.

Scaling reinforcement learning environments

Frontier-scale reinforcement learning requires a ample quantity of difficult, high-quality tasks. We built a pond of nearly one myriad environments, chiefly through synthetic data pipelines, supplemented by proprietary vendor data and open-source sources.

We relied heavily on an iterative curation process. First, we synthesized or originated environments throughout a broad set of domains including application engineering, terminal use, rivalrous coding, STEM, web search, tool use, and broad cognition work. Second, we heavily filtered tasks for difficulty (ensuring they were neither consistently solvable, nor unattainable for the model) and norm (e.g., not underspecified, misleading, guessable, hackable, or alternatively damaged or noisy). Third, we tested the tasks through RL, which allowed us to acknowledge additional norm or difficulty issues and communicate the next repeat of sourcing and filtering.

Throughout Beam’s development, we established that compromises in data norm led to capability plateaus and another training issues. Systematic improvements to project norm were essential to sustaining capability gains throughout the run, which ended alongside no sign of saturation.

Frontier RL infrastructure

High-compute agentic RL requires generating rollouts, executing tools, evaluating outcomes, and updating the example at scale. We built an asynchronous phase that lets these processes run independently during coordinating the stream of cognition and example updates.

During Beam’s training, we sustained an average of 110K concurrent rollouts. Seven capabilities made this practical:

Fully asynchronous execution: Agents create rollouts during the trainer learns and publishes new example versions. Each token is tagged alongside the type that produced it, allowing the training algorithm to document for guideline staleness as completed rollouts stream into training.

Flexible compute allocation: We adjusted the balance between conclusion and training as the workload evolved, functioning at inference-to-training GPU ratios from 3.9:1 to 5.4:1. We additionally resized the trainer throughout five GPU mesh configurations inside the identical training lineage without losing training state.

Fast example updates: New weights reached the conclusion fleet in a median of about 12 seconds. Hierarchical allocation transfers weights throughout racks complete RoCE, afterward shares them locally complete NVLink. Compared alongside all replica pulling weights directly, this reduced cross-rack traffic by 75% and made fleet-wide acceptance of new weights 2.2× faster.

Resilience to conclusion failures: During the run, 71 conclusion incidents were handled without terminating the training job. Inference capability restored in a median of eight minutes, alongside misplaced capability accounting for fair 0.02% of elapsed serving GPU-minutes.

Environments at scale: We supported up to 170K concurrent sandboxes during the run. Across the platform, we processed additional than one milliard sandbox innovation requests, spanning complete 20 clusters, two clouds, and four regions. 90% of new sandboxes were prepared in under 10 seconds.

Efficient Trainer Packing: Dynamic packing kept training batches 99.99% complete on average, holding per-GPU trainer throughput inside 1.5% as average rollout dimension grew nearly 70%.

Observability and reward integrity: Per-token records enabled numerical consistency checks between training and conclusion at all step. Independent judges re-screened passing solutions for verifier exploits, during replayable records made rewards and their use in training inspectable.

Together, these capabilities enabled us to train on longer interactions and additional demanding environments during maintaining throughput, recovering from failures, and checking the integrity of the learning process.

Pretraining a Foundation for Reasoning

Reinforcement learning builds on top of a sturdy basis model. To facilitate reasoning, we ensured Beam’s basis had affluent cognition in coding domains, innate agentic capabilities that could be amplified, and stable MoE optimization dynamics.

While evolving Beam, we pretrained a sequence of iteratively bigger models to established and verify our scaling recipe. Making their achievement predictable required carefully designing example tiers, curating varied in-house code and web validation sets, and aggressively decontaminating all training data against them. The scaling held; the final Beam Base matches its predicted performance, and additionally matches or outperforms accessible similar-sized open-source basis models.

Stable and stable MoE optimization

The Beam architecture and optimization formula emphasizes a numerically fit basis for sustained downstream RL. It combines interleaved local and earth attention, fine-grained routed experts, a controlled residual stream, and multiple forms of burden balancing to justify stable, stable expert use and fit indication propagation through residuals.

For expert utilization, we built on auxiliary-loss-free burden balancing (DeepSeek-AI et al., 2024), introducing cosine decay of expert-bias updates to decrease routing perturbations afterward in training. Sequence-level balancing additional encourages stable expert use on data exterior the pretraining distribution, preparing the example for the changing allocation of downstream RL. As a result, the final pretrained basis has almost-perfect uniform utilization, ensuring all experts can be used for learned reasoning.

For the residual stream, we developed a depth-based scaling method that counteracts activation growth as sublayer outputs accumulate, assisting keep residual norms stable as example degree increases. Combined alongside SandwichNorm, elementwise notice gating, and FP32 residual gathering – which reduces rounding error whenever adding small updates to the stream – this formula controls activation growth and outliers, thereby ensuring fit indication propagation throughout all layers of Beam. This stability persists throughout pretraining, reinforcement learning, and alignment.

Quality-centric data curation

Beam was pretrained on 23.8 trillion varied high-quality tokens from the web, community sources, and proprietary licensed datasets. Our data pipeline was designed to provision Beam a basis for downstream agentic coding: origin code, specialized explanations, and mathematical and specialized knowledge, preserved through all phase of curation. We train on nearly all publically accessible and unrestrictively-licensed code and code records on the web.

We trained our own norm classifiers for web, code, and STEM content, divided data into fine-grained norm tiers, and weighed training toward stronger material. After extended specialized iteration, we optimized the two precision and recall of data curation considerably beyond accepted web filters used in state-of-the-art OSS data frameworks. On one hand, concerning 95% of raw Internet tokens are eliminated through parsing, deduplication, and curation. On the another hand, we established that accepted techniques would have missed approximately 1.8 trillion high-quality tokens we retain, including 87% of our curated web-code tokens.

Code modeling requires its own curation for the highest performance. For all language, we applied individually tuned filters, removed low-quality autogenerated and unlearnable content, and trained classifiers to acknowledge corrupted satisfied or code that may hurt training stability. Overrepresented languages and document types are rebalanced to additional broaden exposure.

We additionally developed a high-throughput pipeline for handling PDF artifacts, to justify the basis Beam has cognition throughout a broad range of STEM topics. It integrates a vision-language OCR example alongside in-house norm classifiers and relic detectors that capture malformed reconstructions, distributed throughout thousands of GPUs to procedure petabytes of specialized data.

We repeated code and specialized satisfied multiple times to addition the model’s visibility complete the way of its training horizon. This required careful notice to fuzzy deduplication, packing algorithms, and the discipline of overtraining, to justify all repeated data origin helps fairly than hurts generalization.

Frontier-grade pretraining infrastructure

Beam was pretrained end-to-end in under four weeks on a collection of 6,144 NVIDIA GB300 NVL72 GPUs. To accomplish the reliability, performance, and betterment speed required to train Beam at scale, we built nearly the complete infrastructure stack in-house. This included a novel topology-aware, Kubernetes-based scheduler throughout our clusters; an inner node lifecycle scheme alongside uninterrupted health monitoring and alerts; and a silent data misconduct (SDC) finding scheme capable of semi-autonomous rewinds and restarts. Together, these systems gave us the achievement and operational authority required to train our own frontier example efficiently and alongside greater stability.

As a outcome of extended investments in the training formula stability, infrastructure, and data quality, the general pretraining run completed alongside an extremely gentle trajectory. We executed nine semi-automatic rewinds throughout, attributed either to non-deterministic gradient norm spikes or to suspected SDCs. In addition, the run’s goodput (the portion of wall-clock period spent on training steps retained in the final model) reached 92.3% towards the end gratitude to improvements in checkpointing, error detection, and node health management.

Building a powerful previous for RL in Midtraining

Our midtraining phase was designed specifically as a basis for high-compute RL, evolving the knowledge, reasoning, and tool-use capabilities that authorize Beam to study from additional demanding tasks.

We built multi-stage data curation pipelines that grasp the construction and complexity of real-world tasks during expanding safety of capabilities that are difficult to study from raw data alone. Starting from carefully selected real-world examples, these pipelines transform, combine, and broaden matter into training data designed to instruct particular capabilities. This includes long, reasoning-rich documents that disclose the example to extended chains of logic.

Midtraining additionally extends Beam’s productive environment dimension to 1M tokens. We merge organized code repositories, long-horizon tasks, and high-quality long-form documents to instruct the example to identify, retain, and nexus applicable data throughout lengthy sequences.

Together, these capabilities provision RL a stronger starting point, enabling Beam to examine additional complex solutions, activity through longer interactions, and study from tasks that would alternatively be out of reach.

Safety and Alignment

Our safety and alignment activity engaged training a second example from our pretrained checkpoint using a distinct SFT and RL pipeline on data specifically targeting the principles by which the example should abide. We merged the capabilities of the two teachers – a large-scale RL instructor and a dedicated safety and alignment instructor – via multi-teacher on-policy distillation (MOPD).

We organized Beam's safety and alignment principles into three tiers:

(1) Rules that Beam should not break: following our safety policies and maintaining its character as an AI agent.

(2) Qualities that Beam should consistently satisfy, specified as: using the environment it is given, making exact claims, acknowledging uncertainty, and transparently following the user’s request.

(3) The default manner for how Beam should interact: direct, thorough, efficient, and proactive in anticipating what the person may need next.

We designed the RL environments in the alignment phase to incentivize Beam’s adherence to these principles. Many of these environments engaged non-verifiable rewards judged by a generative reward model, yet we were capable to use them to predictably form the model’s behavior. Forecasting how rewards would power distinct behaviors before operating RL, we were capable to foretell RL gains improved than the Best-of-N ceiling solitary (r = 0.79 compared to r=0.46 alongside BoN ceiling). This allowed us to iterate on rubrics and reward design, squash behaviors akin hallucinations and excessive formatting, and enhance Beam’s general communication quality.

Our safety training used deliberative alignment (Guan et al., 2024) techniques to merge our safety guideline immediately into the model's reasoning. The dataset was built adversarially and iteratively: in all round, we trained a model, generated prompts that elicited harmful or over-refusing behavior from it, and folded the prosperous attacks rear into SFT blend for the next round. For safety RL, we likewise originated single-turn, multi-turn, jailbreak, and agentic scenarios in which a simulated adversary pressures a tool-using example to obtain unsafe actions, to simultaneously decrease over-refusals and harmful compliance.

We volition publish the results of our safety evaluations in our example specialized study and volition open-source safety evaluations we developed and used internally to create a shared, inspectable norm that the open ecosystem can test against and contribute to.

The Path Ahead

This preview shows what Beam can do today. We are making this first type of Beam accessible to a choose collection of users; you can sign up for the waitlist here.

We desire Beam to be extensively accessible and uncomplicated to build on. This month, we volition publish the weights under an Apache 2.0 license, alongside alongside records and the complete stack for running, evaluating, and fine-tuning the model. We volition be launching Beam alongside an ecosystem of allocation partners, as fine as integration alongside a broad range of open origin libraries and harnesses, so developers can use Beam throughout existing open-source workflows.

Beam is the archetypal example in a series, and the archetypal display of the open intellect our squad is committed to building. We are already training what comes next, alongside the goal of bringing the open frontier nearer to the frontier of intellect alongside all release.

Throughout music history, there have been plentifulness of record-breaking songs, albums, and acts.

These 13, however, have seen the most achievement on the Billboard Hot 100, which is extensively considered to be the conclusive ranking of best-selling songs in the US.

Keep scrolling to see the choose tier of singles artists, listed from smallest to most No. 1 hits.

For assistance delight sojourn help.ft.com. We apologise for any inconvenience.

The following data can assistance our assistance squad to determine this issue.

Since releasing her archetypal No. 1 gathering in 2008, Taylor Swift has enjoyed a historic run on the charts, topping the Billboard 200 and Billboard Hot 100 complete a dozen times each.

Swift's gathering of chart-toppers includes the two radio-friendly pop singles and understated gems pushed to the top of the diagram by passionate fans.

Most recently, "Patient Zero" joined the ranks of Swift's biggest songs. On the all-time ranking of most No. 1 hits, Swift lone trails Elvis, Mariah Carey, and The Beatles.

All of Swift's No. 1 songs on the Hot 100 are listed below in chronological command of their highest dates.

Sam Altman says you need to obtain several flat of perform if you desire him and Elon Musk to activity together.

"I think formerly in a during you've got to punch a intimidate rear in the nose," Altman told Vanity Fair during a wide-ranging interview. "And I additionally think Elon, akin many bullies, lone respects group who do."

Altman and Musk had a celebrated falling-out that has since been recounted and is at the center of multiple lawful battles. Their drama, which is far from the lone simmering beef in the AI world, is now additionally the backdrop to efforts among the world's largest AI companies to attain a agreement on how to steer their technology.

The OpenAI CEO stated he would activity alongside Musk, who has taken to calling his one-time partner "Scam Altman," as the industry grapples alongside renewed concerns complete AI safety.

"If you desire me to be capable to activity alongside him, perchance you have to be blessed I hit rear formerly in a while, but I volition activity alongside Elon, of course," he said.

For his part, Altman stated that he "won't call myself a saint." At the identical time, he doesn't perspective himself as the biggest problem.

"I'm not certain if I'm the one that you're expected to arrive following between Elon and me," he said.

In July, Musk lashed out at Altman whenever another document stated that he had "warned the earth concerning Scam Altman."

Musk quoted that article and added, "He takes scamming to a entire new level."

In response, Altman took a attempt at Musk's advocacy for orbital data centers, item the OpenAI CEO has often expressed skepticism about.

"Homeboy you're the one marketing community market investors on short-term area datacenters," Altman wrote.

Despite the drama, AI companies have taken additional steps toward cooperation. Leaders of OpenAI, Anthropic, SpaceXAI, Google, and Nvidia signed a White House-driven accord in which the companies accepted to several self-imposed safety measures.

Altman told Politico's Decoded Podcast that there's no sole collection chat, but officials at frontier labs have multiple avenues to continue talking.

"There's no akin big WhatsApp that everybody's in," Altman said, "but there's akin many of, you know, group are operating into all another at the identical conference. There's calls, occasional meetings, material akin that."

Recently, multiple organisations have disclosed how clusters of so-called “rogue” AI agents attempted to interrupt into websites and online services, sometimes successfully. Agents from OpenAI’s environment, in particular, are known to have used another public wikis (collaboratively edited websites not owned by us) to communicate and coordinate alongside all other.

These types of prosperous intrusions can disclose delicate data or disrupt website services that users depend on, during clusters of agents can attempt attacks at a measure that is difficult for defenders to manage. They power group rearward the websites who may not comprehend the nature of the attack, or have the tools to efficiently combat back. For a location akin Wikipedia, agents power discover and use safety vulnerabilities or create misleading edits at scale. Wikipedia’s unpaid editors and the Wikimedia Foundation’s safety teams have to detect and undo that activity.

The Wikimedia Foundation conducted its own inquiry to see whether Wikimedia websites had been likewise affected by AI agents, focusing on those operated by OpenAI. We can verify that we have discovered several action by these “rogue” OpenAI agents on Wikimedia platforms. The unauthorized bot activities included edits to our wikis, several unsuccessful attempts to utilize a community note-taking tool we host, and dense traffic, which are described additional below.

We did not discover any evidence that our systems were used for coordination among agents, nor did we discover any evidence of our systems or data being compromised. However, we are concerned concerning what could have occurred here, the difficulty and attempt engaged in examining and attributing this activity, and the expanding risks of agentic AI action on our platforms in general. The open web is a community good. We should not authorize this behavior to rotate into the “new normal” for the group or organizations that keep it.

In summary, we saw:

• Wiki editing: We’ve identified edits to Wikimedia wikis that we accept are from AI agents operated by OpenAI. These edits were not published to pages alongside visibility to broad readers; nearly all of them were evaluation edits in “sandbox” areas of the wiki. It additionally included a few edits to the configuration for a citation tool, which we accept were possibly malicious edits that were intended to misuse this tool as a proxy for fetching data from distant services. While Wikipedia policies authorize bots to edit whenever they are disclosed and approved by the community, none of those approvals were sought in these incidents.
• Etherpad probing and use: Agents we accept to be operated by OpenAI made several unsuccessful attempts to colony our community Etherpad, a note-taking tool we presenter as a community service. Agents unsuccessfully tried to use it to fetch data from another websites as a proxy. Other agents additionally apt operated by OpenAI took notes concerning their tasks, although this did not appear to rotate into coordination.
• Excessive data downloading: Agents we accept to be operated by OpenAI made millions of automated requests to our community APIs to admission the cognition on Wikimedia projects, crawled millions of pages (mainly from our projects Wikidata and Wikimedia Commons), and made hundreds of thousands of data queries to the Wikidata Query Service (WQDS). This traffic may have contributed to a partial outage on WQDS in May.

As a non-profit innovation presenter of several of the largest and most extensively used open cognition platforms in the world, we are deeply concerned concerning the effect of “rogue” AI agents on platforms akin ours, which are built by volunteers from about the earth and depend on the commitment of the open internet. Incidents akin this one, and the many others that have been (and are motionless being) uncovered, exemplify how AI agents can drain resources and collision servers, as fine as attempt to colony trustworthy information.

Over the former 25 years, Wikipedia has grown into among the most famous and trusted websites in the world, alongside additional than 67 myriad articles throughout complete 300 languages, and up to 15 milliard leaf views per month. Through an open, transparent, and collaborative process, volunteers activity to justify that cognition remains neutral, reliable, and accessible to everyone. Wikipedia is among the highest-quality datasets used in training Large Language Models (LLMs), and its cognition forms the backbone of data on the internet, powering AI chatbots, hunt engines, sound assistants, and more.

Wikipedia was designed for humans – and agentic behavior plainly poses challenges that no one has solutions for. Because of our distinctive and prosperous cognition innovation model, Wikimedia’s volunteers are the ones who arrive in archetypal communication with, and spotless up the disorder remaining rearward by AI agents. Rising bot traffic and agentic action is showing a real effect on the Wikimedia projects and the infrastructure that makes it accessible for millions of users globally. In 2025, the Foundation reported that its bandwidth use had risen by 50% because of the surge of bot action on its websites since 2024. At the identical time, 65% of the most resource-consuming traffic on its projects was coming from bots.

This serious force on our infrastructure not lone adds expenses for servers and humans, but if remaining unaddressed, can obstacle individual visitors by overloading systems and causing outages. We are already paying for expenses that arrive alongside the risen activity.

Wikimedia’s volunteers have stayed resilient so far in tackling emerging challenges on our platforms, but we additionally desire to say: it doesn’t need to be this way.

While OpenAI admits to agents behaving “unpredictably”, they must additionally acknowledge their duty to detect and forestall these risks. AI companies are not doing adequate to safe their systems and defend the community from the damage they cause. That burden is falling onto everyone else, including smaller organizations. At a minimum, their systems should run in a way that non-profit website owners akin us can effortlessly identify, and choose how they engage alongside our services.

The web enables so much: to nexus alongside allies and family, to enroll for school, to scheme a trip throughout town, to buy groceries, and to study concerning the earth from Wikipedia. Bots and agents are part of the forthcoming of the web, and the companies who unleash and gain from them must immediately assistance evade and repair damage they can do. 

Our company precedence have to be the health of the general web ecosystem so that it continues to advantage all group – not fair a fistful of billionaires. Wikimedia plays a crucial function in stewarding the cognition commons, but we cannot do it alone. We invitation everyone who is construction the forthcoming of the web to associate us in protecting the open, shared resources that create that forthcoming possible.

When Anastasia Sevriukova archetypal noticed blood in her stool at age 25, she didn't inform anyone at archetypal — not her then-boyfriend or her mom.

Her Google hunt narrowed the logic downward to either colon malignancy — which seemed extremely improbable because of her deficiency of family former — or hemorrhoids.

"I Googled 'I had oysters. Did the casing cut my intestine?'" Sevriukova, now 27, told Business Insider. She tried hemorrhoid creams that didn't work.

When the bleeding persisted for months, she saw a chief attention doctor in September 2024, who put her on a four-month waitlist to see a GI.

In the meantime, Sevriukova kept living her existence in St. Louis, Missouri. She worked as an engineer for Boeing's armed forces branch. In her liberated time, she learned to watercolor and had one of her paintings displayed at a local exhibition.

Even at the end of 2024, whenever she was told that she'd be laid off from Boeing in mid-January 2025, things were looking up. Shortly after, Sevriukova, who is Ukrainian, was offered a stance at a San Francisco startup evolving drones to be used by Ukraine in the ongoing war — a aspiration job. Weeks later, she got engaged.

"The entire duration was a rollercoaster," she said. Between plans to commencement the new job, move to a new city, and eventually build a family alongside her now-fiancé, Sevriukova was enthusiastic concerning the future.

Then, four days following the engagement, she was diagnosed alongside stage 4 colon cancer.

"Everything had to beautiful much halt since I was very, extremely sick," she said. "It was really difficult to obtain that I need to obtain a interrupt for now."

She idea she was tired since of work

In the months foremost up to her scheduled GI project in January 2025, Sevriukova frequently felt extremely fatigued. "I was akin 'I'm fair tired from work, I have to do a lot,'" she said.

Then there was the date night a week before the doctor's visit. She and her fiancé went to a wine-and-pizza bar. Suddenly, Sevriukova felt drunk from one glass.

After her diagnosis, she learned that she had anemia, a average indication of colon cancer. She had a hemoglobin flat of 8 g/dL (a normal range for women is 12 to 15.5 g/dL).

A CT scan revealed her phase 4 colon malignancy diagnosis, and explained her emotion drunk off one drink: It was a sign of her liver not functioning properly, since the malignancy had dispersed to it.

Given her diagnosis, Sevriukova declined her job offer. The brace moved to Rochester, Minnesota, anywhere Sevriukova's mother lives. Upon seeing her new oncologist, she was put on an metal infusion before starting malignancy treatment. She additionally underwent familial evaluation and learned she had no inclination for cancer, specified as Lynch syndrome.

"It was a blow of bad luck," she said.

A breakneck decision concerning her forthcoming fertility

Sevriukova's oncologist told her that she would most apt endure her capability to have kids following flank effects from chemotherapy.

Because he wanted to commencement her care correct away, he gave her two weeks to recover and freeze her eggs. Sevriukova was referred to the Mayo Clinic and decided to go through alongside the procedure.

"It was extremely physically and emotionally demanding," Sevriukova said. "I was additionally trying to procedure at the identical time, the fact that any eggs they can get, that's all they got." She had her egg extraction in March 2025. Two days later, she started chemotherapy and antibody therapy, which her doctors selected following a liver biopsy identified features of her tumor applicable to treatment.

By that point, she was exhausted from two weeks of hormone therapy to create as many eggs as possible, affirmative the common bloodwork and ultrasound appointments during the monitoring phase. The egg retrieval itself was additionally achy and led to spotting by the period she began malignancy treatment.

"Yet, I do not regret it at all," Sevriukova said. "It was the finest decision I've made."

She took a interrupt from the two treatments in June 2025, whenever she was prepped for operation on her colon and the facility of a hepatic artery infusion (HAI) pump, which channels chemotherapy medication immediately into the liver.

There were complications alongside the surgery. She had a rare bowel leak since the incision in her colon was not sealed properly, foremost to an contamination in her abdomen. "That is likely the most ache I have informed in my life," she said, spending 20 days in the hospital. The resulting operation remaining Sevriukova alongside scars and a stoma bag, a discarded gathering pocket exterior of her abdomen.

"I could not halt crying for days, and the nurses didn't equal cognize what to do, how to console me," she said. "My build doesn't appearance akin what it used to appearance akin a twelvemonth ago, and build depiction is a huge, huge aspect of a young woman's life."

She needed a liver transplant

From the beginning, Sevriukova had "too many tumors to count" on her liver. Even whenever her scans were clear, the tumors would quickly resurface the instant she stopped chemo. "I never cognize whenever the malignancy decides to mutate and obtain over," she said.

Sevriukova was eventually capable to get a liver transplant in June 2026, which remaining her cancer-free for three months. Then, in August 2026, a CT scan revealed a few small tumors on her lungs. She volition shortly resume chemotherapy and antibody therapy.

Sevriukova has gradually adjusted to her new normal. She stated that whenever she's in treatment, her mom, sister, and fiancé obtain turns staying alongside her at the hospital and talking to doctors on her behalf.

The side effects of treatment have been so debilitating that Sevriukova can't activity — item she established devastating at the commencement of treatment. Instead, she's taking a complete semester of device discipline courses from a local community college, alongside the aim of getting her master's and advancing her career.

Still, she can never get completely used to the nausea and appetite defeat correct following all chemo treatment. "You fair have to continually rotate alongside the punches," she said. "Right now I'm a small additional used to those punches than I was at the beginning, but it's motionless really, really difficult."

She stated the cognition changed her emotionally. It's additionally made her acknowledge how taboo colon malignancy is, from talking concerning symptoms akin rectal bleeding to living alongside a stoma bag.

"Even correct now, it's a small uncomfortable to say," she said. "It's so susceptible and makes it so difficult to conversation concerning it, to bring it up to friends, to family, but it have to be done."

Two years ago, whenever my family of four flew from Dallas to Scotland via London, our young children barely slept on the 10-hour economics flight, foremost to meltdowns and frustration.

So, whenever we planned our trip to Europe before this year, my hubby and I wanted to do item we could to evade this journey chaos. Ideally, that meant booking upgraded seats to create our lengthy flights additional comfortable.

Our chief goal was endeavor class, but we couldn't validate spending complete $10,000 on upgrades, so we planned to use credit-card points. We had a lot to activity alongside since we use chiefly use fair one Capital One cardstock to acquire points on everything we spend.

Unfortunately, finding flights that worked alongside our schedule, points, and family wasn't so easy. For one, credit-card journey portals normally don't display all escape accessible alongside points. Airlines additionally bounds the figure of tickets accessible for points, making it difficult to discover deals that activity for a group.

After spending hours beginning dozens of tabs throughout distinct journey websites and scrolling through all sorts of deals, we decided to see if an online hunt tool power help.

We had fortune using a hunt tool to set journey alerts and discover the correct deal

There are multiple distinct hunt engines and tools out there that assistance group discover the finest ways to optimize their credit-card points, whether they're booking hotels or flights.

My hubby did several investigation online, and we ended up trying PointsYeah to discover upgraded flights that worked for us.

On this searchable tool, we were capable to act particulars akin how much we wanted to expend and alongside which carrier, the particular dates we wanted to travel, and our departure and arrival cities.

From there, whenever flights that met our criteria appeared, we could obtain an vigilant via email.

PointsYeah's liberated type felt fairly robust, particularly for real-time searches, but we upgraded to a annual scheme for concerning $120 since it allowed us to set up to 32 item alerts, versus lone four alongside the liberated version.

We used the additional alerts to hunt by nation fairly than fair by a particular airport, which gave us additional elasticity and proved extremely useful.

Departure city can be a important aspect in international-flight prices, so we kept ours open to anyplace in the US. We were OK alongside booking distinct tickets to journey from Denver to the authoritative starting item of the global leg of our trip, provided the cost was right.

We additionally kept our arrival airfield elastic between Krakow and Warsaw, and looked for particular ticket types (preferably business, but we were open to premium economy) for four people.

After a few weeks and item transfers, our upgraded tickets were prepared to go

Within a few days of environment up our alerts, we established our come back flights. It was a bit different booking the come back first, but the agreement was too fine to continue up.

It took us multiple additional weeks to discover an outbound escape we liked, and that meant sorting through alerts daily. Eventually, we established a points agreement that we were blessed with, and the alerts helped us act quickly.

Once we decided to move onward alongside a flight, the procedure became a small additional complex. After PointsYeah established me an choice I liked, that procedure was in my hands.

For this step, I had to sojourn all airline's website — in this case, KLM for a escape operated by Air France, and Air Canada for a escape operated by SWISS — set up an account, transfer our points from Capital One, and afterward acquisition through the airline.

I've established it can be tricky to change credit-card points to miles on distinct airlines, so this part wasn't my favorite. Notably, several competitors, akin Points.me, recommendation concierge services that volition transfer points and publish flights for you for an added fee (about $200 a person).

The best escape deal we established from the United States to Poland had us flying from Chicago to Warsaw through Paris. To attain our global starting point, we bought distinct tickets from our residence airfield in Denver to Chicago for $217.40 per person.

From Chicago, we secured premium-economy seats on Air France for 75,500 points per grownup and 56,625 points per child, affirmative $249.30 per individual in fees.

Though premium economy wasn't what we were expecting for, the additional legroom was fine value it. We equal had adequate area to location inflatable footrests in forefront of the kids following takeoff, letting them extend out and sleep.

On our come back flight, we flew out of Zurich in business category on Swiss Air to Washington Dulles and connected to Denver, costing us 70,000 points per individual and $165 in additional fees. We could lie entirely flat, and we had plentifulness of legroom and admission to a larger bathroom, which was extremely helpful alongside young kids.

Now that I've successfully used points for upgraded seats, I can't delay to do it again

For our family of four, the outbound leg of our trip disbursal $1,866.80 and 264,250 points, and the inbound leg disbursal $660 and 280,000 points, for a total of $2,526.80 and 544,250 points.

Had we purchased upgraded premium economics and business-class seats for prosperity on akin flights, it would have disbursal complete $17,000 — an disbursal we certainly could not justify.

Ultimately, we loved getting to skip the overwhelming, time-consuming procedure of sifting through leaf following leaf of points deals throughout distinct airlines. Being capable to examine all our options in one place and set alerts to lone be notified of what plant for us was really helpful.

Although parts of the procedure were additional complex than we expected — we motionless had to transfer points and publish our own tickets — PointsYeah helped us snag upgraded flights for our family that really worked alongside our budget.

The finest tool for you volition depend on your needs and preferences, but it's nice to cognize services akin this exist, and we'll entirely be using them again.

Amazon hired erstwhile Microsoft Copilot CTO Pedram Rezaei to assistance the e-commerce and haze elephantine build out its agentic AI business.

Rezaei joined AWS as a distinguished engineer in its Agentic AI and Emerging Technologies group, according to an email notice on Monday.

He spent two decades at Microsoft, most lately training basis models on the company's Superintelligence team. Rezaei served as Copilot's CTO until June and earlier held elder specialized roles in key merchandise areas including hunt motor Bing and endeavor application suite Dynamics 365.

At Amazon, Rezaei volition initially activity on Quick and Kiro, two products Amazon sees as chief to its AI delegate strategy, according to the email by Swami Sivasubramanian, the company's VP of agentic AI. An Amazon spokesman shared the memo alongside Business Insider.

Quick is AWS's AI aide and efficiency app, during Kiro is an AI-powered coding tool. Quick's monthly AI users grew fourfold from the archetypal to second quarter, during Kiro's person basis doubled complete the identical period, Sivasubramanian noted in the email.

"Pedram joins at an breathtaking period for our institution as we continue to build out our specialized guidance squad to assistance obtain on the aspiring activity we have planned," he wrote in the memo.

The employ gives Amazon an informed builder from one of its biggest rivals at a instant whenever the business is trying to rotate its AI investments into extensively used products. Microsoft has made Copilot a centerpiece of its AI strategy. Amazon, meanwhile, has been construction its own portfolio of AI tools, from its Bedrock example phase to coding assistants and agentic software.

Rezaei's arrival additionally suggests Amazon is making a stronger shove in the AI delegate space. The market is expanding quickly, alongside new delegate offerings specified as OpenAI's Dots, Meta's Muse and Instinct gaining traction.

Microsoft CEO Satya Nadella has been shaking up leadership to accelerate its AI strategy. Two additional high-profile executives are on the way out.

Peter Lee, a Microsoft seasoned influential in the company's AI research, on Wednesday announced plans to leave.

The next day, Microsoft Office chief Ryan Roslansky stated he'll be gone at the end of the year. Roslansky's departure was particularly amazing as he was seen as a successor to longtime seasoned Rajesh Jha, who former in July. Roslansky was additionally a key part of Nadella's new inner circle and was one of three executives who made up Microsoft's new Copilot guidance team.

Here's the complete email from Amazon's Sivasubramanian:

Team,I'm blessed to portion that Pedram Rezaei is joining Agentic AI and Emerging Technologies as a Distinguished Engineer, productive today.Pedram joins us following additional than 20 years at Microsoft, most lately operating on training basis models and, before that, in elder architecture and CTO roles throughout Copilot, Power BI, and another products. He is a hands-on engineer who is motionless in the code all day, and he plans to keep it that way here. He lives in Seattle alongside his spouse and their two young sons. Please associate me in welcoming him.As many of you know, we have a important chance alongside Quick and Kiro to change how activity gets done. The figure of users for Kiro doubled from Q1 to Q2, during monthly AI users for Quick grew 4x. Initially, Pedram volition assistance activity to bolster these merchandise areas. His scheme for the archetypal few months is straightforward: encounter people, study how things activity here, and container item real.Pedram joins at an breathtaking period for our institution as we continue to build out our specialized guidance squad to assistance obtain on the aspiring activity we have planned.In addition, I desire to obtain this chance to portion several news alongside the wider team. As many of you know, we see our investments in Neurosymbolic AI and automated reasoning as one of our biggest bets for the future, and to assistance execute that vision, we've brought rear Marvin Theimer and Reto Kramer. They've already been rear for a small during now, and it's awesome to have them in the fold again.Thanks for the heated greeted I cognize you'll broaden to all three.Swami

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Bad news if you planned on capturing photos of the majestic fjords in your Meta Ray-Bans. Norway is issuing a impermanent ban on camera glasses in community spaces akin parks, schools, and beaches.

This ban doesn't prohibit the transaction of Meta glasses, and it lone applies to their use in certain areas, akin changing rooms or beaches. It additionally points to the need for additional privacy about places for children, akin schools and daycares.

Norway's Minister of Digitalization, Torgeir Micaelsen, expressed involvement that new, mighty innovation is being introduced anywhere group hazard being photographed, filmed or audio recorded without their knowledge, according to a translated media release.

Micaelsen fair started as Minister of Digitalization in September, but his predecessor had started floating the idea of looking into regulation on Meta glasses in August.

Representatives for Minister Micaelsen did not immediately react to a petition for comment.

Meta's CTO, Andrew Bosworth, has stated that lone a few "bad actors" are liable for disabling the glasses' LED indicator lights, which has stated the glasses a bad position as "pervert glasses". Meta lately rolled out a application update in which the camera won't activity if the ray is covered or tampered with.

The authorities additionally stated it volition form an expert collection to examine the challenges posed by wearable innovation and provision direction on imperishable regulation.

Norway's impermanent ban follows unease concerning camera glasses in another European countries. In the final few weeks, a conversation concerning astute glasses has been brewing in the Netherlands, following media reports and assistance collection concerns. An authoritative from the country's data privacy collection told Parliament they desire to delay for findings from a broader European Union study on the matter before taking any action. Meanwhile, Hans Anders, a ample eyewear retailer in the Netherlands and Belgium, has paused marketing Meta glasses in its stores.

"We're enthusiastic that our glasses continue to be extremely famous for listening to music, making calls, or getting live translations, so we're continuing to develop styles and features about the world," a Meta spokesman told Business Insider in reply to the Norway ban.

"Every brace alongside a camera has a brilliant ray on the forefront that blinks whenever you obtain a photo or video," they said. "It can't be turned off, and the camera is impaired if person covers or tampers alongside it -- item smartphones and another cameras don't have."

This as-told-to composition is according to a conversation alongside Alena Beliauskaya, a 37-year-old merchandise director based in San Francisco. The following has been edited for dimension and clarity.

Here in San Francisco, it seems akin everyone is a startup founder.

I'm the director of merchandise administration at Wolf Games, an AI narrative games company, anywhere I activity part-time. On the side, I run 12 Scrappy Founders, a founders community in the Bay Area alongside paid memberships and sponsored events.

When I archetypal moved current for my job in March 2025, I wanted to create friends, so I started going to originator events, but the interactions were so transactional. The archetypal inquiry everyone asks you is, 'What's your goal at this event?' So, I started hosting my own events.

I'm an outdoorsy individual and affection extreme sports, so I'd scheme a weekend hike, a backpacking trip, or dirt biking in Tahoe and invitation another founders to associate me. Now, I create complete $10,000 in income all duration and obtain residence $2,000 to $3,000 in profit.

I've worked in startups for concerning 15 years and am a founder

It was natural to build my network about another founders. These are the group whose lives and problems I comprehend best. Finding like-minded group who comprehend startups and additionally desire to expend Saturday riding dirt bikes in Tahoe is value additional to me than another 100 LinkedIn connections.

At our events, there's no formal networking, and nobody pitches. People got to cognize all another by spending eight hours on a trail or learning to journey a motorcycle together.

I started my community collection charging $0 and now acquire $10,000 in monthly revenue

I didn't accusation at archetypal since we started alongside hiking, which doesn't disbursal anything. But whenever we started dirt biking, I normally paid out of my pocket and afterward asked group to reimburse me.

This hobby was starting to obtain up a lot of my liberated time, and I idea concerning monetizing it, but I debated at archetypal since I idea that if I turned it into a business, I power halt enjoying myself.

I started thinking concerning monetization about fountain this year, following so many members told me I needed to since they were getting so much value. I started rolling out memberships at the commencement of this summer.

We have complete 600 founders in our community

To join, the person's startup needs to be at the seed, Series A, or Series B stage. Most members have AI startups, since that's what is happening correct now. You additionally have to be based in the Bay Area, since events are in person.

We're all connected on Slack, and there are concerning 20 paid members. There are two tiers correct now. General affiliation is $99 a month, which includes liberated members-only events, precedence access, personalized introductions to founders and investors, and admission to the personal associate phase and Slack community. Our center membership, which is full, expenses $3,000 a year, and center members get to activity alongside me on anywhere the community goes next.

We additionally monetize operating alongside brands that sponsor many of our events. Recently, we partnered alongside Red Bull. I run paid experiences akin difficult hikes, overnight camps, dirt-biking, go-karting, pickleball, poker nights, and roundtables.

I'm not preparedness to create my flank hustle a full-time job

I fair desire to fig out how to develop and nurture this community fine and have item joyful in my liberated time.

I allocate much of my liberated period in this flank hustle. Almost all Saturday, I expend the complete day outdoors alongside the founders. Besides that, I expend concerning three to four hours a day organizing.

My direction to those wanting to start a flank hustle is to discover item you love. You already expend the entire day at your full-time job, and frequently don't have much energy left. Your flank hustle should bring you joy, which volition motivate you to keep going.

Do you have an engaging flank hustle to portion alongside Business Insider? Email publishing company Manseen Logan at mlogan@businessinsider.com.

The US administrator of state, Marco Rubio, has stated the US is closely monitoring the case of a Russian lab employee who died final week following a reported accident at a plague investigation institute in Siberia.

“We’re observing and monitoring it closely,” Rubio stated on Monday before leaving for a trip to Europe. “I ⁠don’t think it’s logic for alarm, but it is logic for concentration and a logic fair to keep an ⁠eye on it.”

Darya Shipilova, a 28-year-old employee at the anti-plague institute in the city of Irkutsk, became ill at work. She died two days afterward on the night of 2 October at a local hospital in the nearby town of Shelekhov.

It remains unclear how she became unwell. Unconfirmed reports in Russian media have suggested Shipilova may have been infected following a accident at the laboratory. Officials have not publically confirmed that account.

Local media have reported that the institute has subsequently been locked down, alongside personnel forced to sleep on the flat and on chairs. “They’ve been isolating everybody since Friday – additional than 60 people,” one relative, Roman, told the news portal Siberia.Realities.

He stated family members were allowed to autumn off food at a checkpoint during tests were carried out inner the building. Similar quarantine restrictions have been placed on multiple another hospitals in and about the city.

Rubio, citing what ‌Russians have released concerning the death, stated it seemed a employee in the lab became ​infected and there was involvement the sickness may have dispersed internally.

“There’s extremely constricted journey between the US and Russia, obviously,” he said. “But akin item else, item akin that gets out, it fair quickly spreads.”

Senior Russian officials have added to community disquiet by sending conflicting messages. Alexey Tsydenov, the caput of the Buryatia region, which neighbours Irkutsk, initially wrote that Shipilova had died of plague, before editing his article to say she had “possibly” died of the disease.

Rospotrebnadzor, Russia’s health watchdog, stated Shipilova died from “pneumonia of unidentified aetiology”. It insisted that tests established no micro-organisms connected to her expert activity and described the “sanitary and epidemiological” circumstance in the area as stable.

Authorities in the nearby city of Baikalsk briefly urged residents to evade travelling to Shelekhov and surrounding settlements following what they stated was unofficial data concerning a imaginable plague infection. They afterward deleted the article from social media.

“There are no apparent changes to regular existence on the streets, but group are concerned and anxious. Locals are furious that they are not being told anything,” stated Elena Trifonova, a newsman alongside People of Baikal, an exiled Russian media outlet specialising in Siberia.

Despite the deficiency of a confirmed diagnosis, precautionary measures appear to have been introduced throughout the region. The US-funded Radio Free Europe/Radio Liberty reported on Monday that multiple hospitals in Irkutsk had been placed under quarantine.

The outlet confirmed that personnel from Shipilova’s workplace, the Irkutsk Anti-plague Research Institute of Siberia and the Far East, had been kept inner the institute since 2 October.

Patients at Irkutsk city medicinal hospital No 1 and the Ivano-Matreninskaya children’s hospital stated relatives were not being allowed to sojourn and group inner were not permitted to leave.

On social media, local residents described several of the precautions being introduced.

Ulyana Gavryunina, who went on Monday to one of Irkutsk’s chief maternity hospitals for a regular check-up on Monday, stated doctors refused to authorize her mother in, citing a quarantine imposed complete the suspected plague case. Gavryunina stated personnel associate checked her for flu-like symptoms and asked her to inhabit out a screening form for infections, on which “plague” was listed. She posted a photo of the form on Instagram.

Elsewhere, a disguise necessity was introduced at the Irkutsk aluminium smelter in Shelekhov. The plant’s director, Artyom Fominykh, called it a preventive measure, saying: “Better harmless than sorry.” Over the weekend multiple community events in Irkutsk were cancelled.

Shipolova’s death has prompted involvement from elder national health officials. Anna Popova, the caput of Rospotrebnadzor and the country’s chief sanitary doctor, travelled to Irkutsk on Friday.

She attended an emergency gathering of the local sanitary and anti-epidemic commission complete what officials called a suspected case of a “particularly hazardous infection”.

Igor Kobzev, the administrator of the Irkutsk region, urged residents to remain calm following gathering Popova to coordinate the response. “All identified contacts have been placed under medicinal observation. As of today, none is showing signs of sickness and lab tests have returned negative results,” he wrote on Telegram.

Kobzev made no citation to reports that a lab employee had died.

US politicians have raised concerns concerning the incident, which follows longstanding and unfounded allegations by the Kremlin that Ukraine has secretly carried out biologic weapons investigation alongside the assistance of Washington.

A Republican representative, Don Bacon, a elder associate of the House armed services committee, wrote on social media: “I recall hearing from anti-Ukraine voices concerning their so-called bio labs. It was Russian disinformation ops at their best. But in actuality it is Russia alongside the bio labs.”

Plague remains endemic in parts of Siberia and the Russian far east, anywhere the bacterium persists naturally among untamed rodents and their fleas.

But individual cases in Russia are rare. Before the suspected Irkutsk case, the country’s final recorded individual contamination was in 2016, whenever a 10-year-old boy in Siberia’s Altai Republic contracted plague following assisting butcher a marmot.

“This case current seems akin a rare lab accident and is improbable to go much further,” Prof Ian Jones, a prof of virology at the University of Reading, in the UK, said. “Although it is true that pneumonic plague is immediately transmissible, the contacts of the chief case are known and can be treated if they display any sign of infection.”

He added: “Plague carries a huge former and is motionless current in many parts of the world, including Russia, but the living conditions connected alongside earlier dispersed plague are no longer mostly true, antibiotics are accessible and its possible is hence limited.”