Morning Brief, November 3rd 2026
Anthropic told the it may soon cross its own line for AI that speeds up AI research. Nvidia is capping how much of its partners' cloud capacity can go to Chinese companies. Beijing promises safety rules for the whole life of a model. And Apple calls memory prices unprecedented.
Anthropic tells investors it may "imminently" cross its own threshold for AI-accelerated progress
The that Anthropic filed on Monday carries a new passage in its . "Our internal estimates and our expectations regarding future models, rather than our current models, indicate that we may imminently meet our 's definition of 'dramatically accelerated progress attributable to AI,'" it says. No current model has been designated as over that threshold, and the company is "evaluating the implications" and will publish further reports. It also says its ability to measure its own acceleration is limited, so that it "may in the future not identify" a jump in its rate of development "until after it has occurred."
A second passage says Anthropic does not expect to be able to safely let Claude "fully autonomously design and build successive generations of without meaningful human supervision or understanding," and that it is considering changes to the policy "to keep humans in control of frontier model development." The same filing puts the scale of the automation already in place: more than 90% of contributions to Anthropic's codebase in September were written by Claude, and the daily volume of code per engineer in the third quarter was more than 45 times its 2024 average.
A is a document a company can be sued over, which gives these sentences more weight than a blog post and also a lawyer's reason to exist. They arrive as investors argue over price: the Wall Street Journal reported that some are pushing for a closer to $1.5 trillion to $1.6 trillion, below the $2 trillion that circulated in September. SourcesABB
Nvidia tells cloud partners to sell at least 51% of their capacity to non-Chinese customers
Nvidia has told the cloud companies that rent out its chips that at least 51% of their services must go to companies that are not Chinese, the Financial Times reported on Monday, citing five people familiar with the matter. The rule applies to new contracts only, was passed on verbally by its sales force and regional teams rather than in writing, and is the first restriction of its kind Nvidia has imposed. It reaches the route Washington has spent years trying to close: Chinese developers renting compute in data centers outside China, from providers in Singapore, Malaysia, Japan and elsewhere.
Nvidia neither confirmed nor denied the report to AFP, and said in a statement that "America cannot win the AI race unless America's AI infrastructure wins worldwide." China's foreign ministry said it was not aware of it. A 49% ceiling is a sales policy rather than a law, which means a with a Chinese majority loses its supplier, not its license. SourcesBB
Beijing plans safety rules covering an AI model's whole life, from data to deployment
China's state planner, the , said at a briefing in Beijing on Tuesday that it will roll out a broad set of AI safety standards running from development through deployment, and is speeding up AI legislation. Senior official Wang Ruomeng said the rules will cover data, computing power and algorithms, that developers and operators will have to disclose safety risks, incidents and vulnerabilities, and that the government will monitor AI's effect on jobs and support displaced workers. Bloomberg described the package as some of the most comprehensive guidelines anywhere against over advanced AI.
Compliance gets a transition period, and sector sandboxes, and the planner says it will keep encouraging open development through the five-year plan that ends in 2030. Wang asked other countries to coordinate on vulnerability disclosure, calling AI safety "a global challenge requiring international cooperation." No text or timetable was published. SourcesBB
Huawei tells some chip customers to find their own high-bandwidth memory
Huawei cannot buy enough from Samsung or SK hynix, so it has told some customers for its next flagship AI chip, the , to source the memory themselves, The Information reported on Monday. Fujian Jinhua, the sanctioned Chinese memory maker that has supplied Huawei for years, trails the Koreans and lacks the capacity. Much of the gap is filled by smuggling: HBM is mounted beside cheap, low-performance server processors, which export rules judge by the processor's speed, and then heated off the boards in Chinese workshops. A broker quoted about $4,000 per HBM3E stack, and an AI chip needs six to eight.
The 960DT, due in the first quarter of 2027, is meant to double the memory bandwidth and capacity of Huawei's current part, and Huawei is tuning it with DeepSeek for , which DeepSeek has so far done only on Nvidia hardware. Huawei has also raised the suggested price of its current Ascend 950DT above 250,000 yuan, about $37,000, according to TrendForce's summary. SourcesBC
Apple calls memory prices "unprecedented" and guides its margin down for the holidays
Apple reported record September-quarter revenue of $114.5 billion on Monday, up 12%, in the first results under chief executive John Ternus. Then it said the December quarter's will fall to 45% to 46%, from 47.9%, mostly because of memory. Ternus called memory pricing "unprecedented" and said costs will keep rising after December; inventory has climbed 154% in a year to $14.54 billion, and manufacturing rose by $33 billion in a quarter as Apple locked in supply. Excluding tariff refunds, both its margins fell about a point from the previous quarter on memory alone.
Two AI costs appear in the guidance. Running Siri's new AI features raises Apple's cloud bill, and Apple will defer part of the revenue from devices that have them, recognizing it over the device's life. Chief financial officer Kevan Parekh also pointed to "opportunities across third-party apps and partnerships" in AI without saying what they are. The shares fell before Tuesday's open. SourcesABBB
Salesforce agrees to buy Cresta, the voice-agent company for call centers
Salesforce said on Monday it has signed a definitive agreement to buy Cresta, whose software answers customer calls with voice , coaches human agents during calls and analyzes conversations. Salesforce did not disclose terms; several outlets, following The Information, put the price at about $2.7 billion. Cresta began at Stanford's AI lab and was founded in 2017 by Sebastian Thrun, Tim Shi and Zayd Enam. Salesforce will fold it into Service Cloud and says Cresta will keep supporting the telephony platforms its customers already use. The deal is expected to close in the first quarter of Salesforce's fiscal 2028, which begins in February 2027.
The buyer is paying for the phone line. Text support has been automated for two years; voice is where the expensive human minutes still are. SourcesABB
Agility Robotics wins its SPAC vote and starts trading Thursday as AGLT
Shareholders of Churchill Capital Corp XI approved the merger with Agility Robotics on Monday, with more than 84% of votes cast in favor, according to the filed the same day. Holders of about 44.9% of the voting power attended. The deal is expected to close on Wednesday and the combined company to start trading on Nasdaq as AGLT on Thursday, November 5th.
The money is smaller than the headline that launched the deal. Agility expects about $465 million gross: roughly $164 million left in the trust after , $201 million from a Foxconn-led at $10 a share, and $100 million it has already received. The June announcement assumed more than $620 million with no redemptions. Agility will be the only US-listed company that does nothing but robots, which means its share price becomes the sector's only public mark. SourcesAA
Drax, Brookfield and Radiant plan a gigawatt AI campus at a Yorkshire power station
Drax Group signed an agreement on Tuesday with Brookfield and its neocloud, Radiant, to develop an AI data center on the Drax Power Station estate in North Yorkshire that could pass 1 . Brookfield estimates total investment, chips included, could exceed £20 billion ($26.8 billion), with £2.5 billion for a first phase of up to 100 megawatts from early 2028 on grid power. Another 500 megawatts would follow between 2028 and 2031. Nothing is final: phase one needs planning, regulatory and network approvals and a tenant. Drax shares rose about 8.8% in early trading.
A power station is the obvious answer to Britain's real AI problem, which is the wait for a grid connection: Microsoft walked away from anchoring an Nscale site near London last month over grid delays. SourcesB
Britain's cyber agency says China is best placed to use AI against critical infrastructure
The UK's published its annual review on Tuesday, covering September 2025 to August 2026, and its central judgment is blunt: "It is almost certain AI will act as a force multiplier across the cyber threat landscape," speeding up reconnaissance, social engineering, vulnerability discovery and exploit writing rather than inventing new kinds of attack. China "highly likely has the intent" to use AI against , and the NCSC judges it the best positioned to do so given its investment in frontier AI. It also says "it is highly likely AI malware will be used in a attack on UK CNI," and that defenders will have to shorten their patch timelines.
The NCSC says human operators remain essential to attackers, and that losing control of an agentic tool would probably stop them reaching their goals. It also warns about "shadow AI," staff moving sensitive data to personal devices to use unofficial tools. SourcesAB
OpenAI hires former Army secretary Dan Driscoll for national security
OpenAI has hired Dan Driscoll, who stepped down as US Army secretary earlier this year after months of reported tension with Defense Secretary Pete Hegseth, as senior counselor for national security modernization, a new role. He will advise on using AI for US national security and cybersecurity and help allied governments adopt it, building on OpenAI's Daybreak program for cyber resilience. Sam Altman said the US has "an extraordinary opportunity to work with other countries to spread the adoption of democratic AI." Driscoll, an Iraq veteran, pushed drone and counter-drone access for allies while at the Army.
The job description is a sales territory: ministries of defense are the customer OpenAI does not yet have in volume. SourcesBB
OpenAI more than quadruples its bug bounty and brings in Cathedral to attack its defenses
OpenAI said on Monday it is raising its security , more than quadrupling rewards for critical findings, with up to $172,000 including bonuses for exceptional ones. It will also run its next internal security sprint with Cathedral Systems, whose researchers will use OpenAI's models alongside its own teams to test its defenses. The last sprint, in which engineers used Codex to reproduce vulnerabilities in isolated environments and draft patches, involved about a quarter of OpenAI's product engineers. No start date or scope was given.
Cathedral is a pointed choice. Secondary reports say it previously reached Anthropic's internal systems through third-party software during a bounty investigation, which Anthropic said broke the program's rules; we could not confirm that account. SourcesAB
MIT researchers had GPT-6 Astra edit a small Qwen model's weights directly, without training
Researchers at MIT CSAIL, led by PhD student Rikiya Takehi with Omar Khattab, report that GPT-6 Astra improved Qwen3.5-0.8B's math by changing 0.016% of its by hand, with no : it reasoned about what parts of the network compute and set new values. They report scores rising as much as sixfold and IFEval about threefold, and Astra writing a Breakout-playing policy network from scratch. The authors pitch it as a possible route to fixing models without forgetting, and to self-improvement.
The skeptics have the stronger reading of the method. Matthew Honnibal points out that the headline Qwen result used and ran the model on up to 50 batches of practice problems, so it is not "just looking at the raw weights," and that the from-scratch Breakout network beat a baseline on Breakout but lost on Seaquest and Asterix. He still credits the Qwen result as real. It is one small model and a few , without peer review. SourcesABC
OpenAI's new everyday-errands benchmark puts its own models at 80.6%
OpenAI published LifeVal on Monday, a benchmark of whether a model can finish everyday tasks for people across caregiving, health, education, finance, shopping and household admin, built from tasks that about 100 participants recorded wanting an assistant to handle. GPT-6 Astra averages 80.6%, against 80.0% for GPT-5.6, 77.4% for GPT-5.5, 73.0% for GPT-5.4 and 49.3% for GPT-5.2.
The curve is the finding, and it is flat: one point from GPT-5.5 to the newest model. The task set is not public, OpenAI grades it, and no other lab's model has been scored, so it says nothing about how Astra compares with Claude or Gemini. SourcesAC
Palantir falls about 8% before the bell as new contract signings slow
Palantir's shares were down about 8% in trading on Tuesday, near $164, after Monday's results. Revenue rose 96% to $2.31 billion and the full-year forecast went up to $8.53 billion, but , the measure of new business signed, grew 6% against 49% the quarter before. The chief financial officer tied shorter deal durations to customers starting on Palantir's new products. SourcesBC
Putin orders Russia's private data centers to hold back 10% of capacity for the state
Vladimir Putin signed a decree on Monday requiring owners of Russia's non-state data centers to reserve 10% of their capacity "to help keep Russia's IT infrastructure running," Reuters reported. A new government commission can order the reserve released, and operators must provide access within 24 hours. The digital ministry will inventory capacity and floor space nationwide, and the decree allows temporary use of data centers abroad with approval from the , the security service. Ukrainian drones struck facilities run by Yandex and Sberbank in October. SourcesB
Meituan releases LongCat-2.5, a 1.6-trillion-parameter model for long coding jobs
Meituan, the Chinese delivery company, released LongCat-2.5 on Monday: 1.6 trillion with about 48 billion active per , handling images and text together, trained with large-scale on whole codebases, and with failures from real agent runs turned into training tasks. It is available through Meituan's chat service and API. Weights on GitHub and Hugging Face are "planned to follow," with no date; Meituan's newest open model on Hugging Face is still LongCat-2.0 from July. No benchmark scores came with the release. SourcesB
SUSE will cut one in ten jobs and names "automation and AI" as the reason
SUSE, the Linux company owned by EQT, is cutting about 10% of its roughly 1,900 staff, chief executive Dirk-Peter van Leeuwen told employees in a memo. "Modern tooling is already changing our daily workflows," he wrote, and some roles have "greatly diminished." Affected staff will be told by November 4th; a voluntary departure offer in September did not draw enough takers. SourcesB
Squarespace lays off 19% of its staff as AI site builders eat its market
Squarespace is cutting about 19% of its workforce, around 300 people, the company confirmed to TechCrunch on Monday, saying it wants to simplify operations and move faster. The company that sold drag-and-drop websites now competes with tools that build a site from a sentence: Lovable raised at $13.3 billion in August. Squarespace was taken private for $7 billion in 2024 and has an AI-native platform, Forma, on a waitlist. SourcesB
Governors' races in at least a dozen states put data center pauses on today's ballot
Americans vote today in midterms where data centers have become a governor's-race issue. Candidates in at least a dozen states have backed a moratorium on new data centers, by Newsweek's count, from both parties: Pennsylvania's Republican nominee Stacy Garrity has called for a temporary pause, and Democrats Doug Jones in Alabama and Hannah Pingree in Maine back one. New York is the only state with a moratorium in force, the one-year pause Kathy Hochul signed in July. Polls have been consistent on the local question: Gallup found 71% opposed construction near them in March. SourcesBB
Frontier models refuse unsafe shortcuts but cave in a negotiation, a teamwork benchmark finds
A new Collaborative Intelligence Benchmark from Sean Wu and colleagues tests 18 models on 240 tasks drawn from sources such as aviation accident reports, clinical cases and negotiations, scoring only tasks each model can solve alone, so what is left is teamwork. The best model scores 82.2 out of 100. Frontier models almost always refuse unsafe shortcuts and report misconduct, but reach the best deal in only 14% of conflicts, and their pass rate drops from 97% to 81% when they take over a task a weaker model cheated on. Models of near-identical capability differ by up to 11 points as teammates. SourcesA
Trajectory raises $45 million from Sequoia to let lawyers and doctors post-train models
Trajectory, an 18-person startup founded about a year ago by three Stanford classmates, raised a $45 million led by Sequoia at a $300 million valuation, with Nvidia, Bessemer and Bain Capital Ventures. Its platform takes an model, connects it to a company's applications and keeps retraining it on feedback, with an interface for experts who do not write code. Harvey and Rogo use it for legal and financial models; Decagon, Mercor and Nvidia are also customers. Co-founder Ronak Malde was among the Windsurf researchers Google DeepMind hired. SourcesB
Garry Tan says he spends up to $200,000 a year on AI tokens
Y Combinator's chief executive told Walter Isaacson's podcast The Builders that he spends "maybe $100[,000] to $200,000 a year on tokens," adding: "It's too expensive right now." His agent reads his email, Dropbox, Apple Notes and 20 years of therapy notes. YC runs an internal agent called Stray Light with context on every founder it has backed and every application it has received. A heavy personal agent user now costs as much as a senior engineer, which is the number that decides how fast these spread. SourcesB
Google takes Dreambeans to India after US downloads fell 84% in a month
Google launched Dreambeans, its app that turns a user's Calendar, Gmail, Photos and YouTube history into illustrated stories without being asked, in India on Monday in 13 languages, its first market outside the US. Sensor Tower's estimates, shared with TechCrunch, show about 55,000 US downloads since June, and a fall of 84% to about 5,500 in October. In its first 30 days open to all US adults it drew about 29,000 downloads, against 7.4 million for Meta's Muse app over the same window. SourcesB
An open 27-billion-parameter computer-use agent scores 80.2 on OSWorld-Verified
CUA-Master-27B, from a team led by Xinlei Yu, scores 80.2 on , a benchmark of agents operating a real desktop, plus 36.9 on OSWorld 2.0 and 25.0 on Agents' Last Exam. Its training data comes from workflows mined from instructional videos, rebuilt into tasks, with a retry mechanism that rolls a real environment back to a snapshot after a failure. A model of that size is small enough to run privately. The scores are the authors' own. SourcesA
Yandex publishes attention kernels that train faster on Nvidia's Blackwell chips
Yandex Research released FLAMIA, a family of for that train in MXFP8 and mixed NVFP4/FP8 low-precision formats, with safeguards so shared scaling factors do not leak information from future tokens. It reports forward-plus-backward attention speedups of 1.10 to 1.40 times on B200 and up to 1.42 times on B300 over the fastest baseline it tested, and stable Llama-style pretraining. SourcesA
A transformer that picks the order of its own layers at run time
EPFL and NYU researchers, with Micah Goldblum, propose Library of Layers, a model that keeps a shared library of transformer blocks and decides at which to run and in what order. It matches dense, depth-recurrent and baselines on text pretraining; on sudoku and mazes it uses different orderings for different strategies, and the researchers can force a strategy by intervening on the router. SourcesA
Multimodal models can build a working lab simulation from a video, but not the right apparatus
Lab2Sim, a benchmark of 218 science experiment videos with 11,881 items, asks models to turn a video into an interactive virtual experiment that enforces each step's preconditions. Models readily produce pages that run, the authors find, but reproduce the apparatus poorly; their own pipeline, which writes the procedure as a first, lifts apparatus fidelity by 24.15 points. SourcesA
Editorial
The prospectus that warns about its own product
In 1998 and 1999 the SEC told American companies to write down, in their filings, what would happen to them if their computers misread the year 2000. The disclosures that followed were odd documents: part engineering report, part liability shield, written by people who could be sued if they were wrong in either direction. They were also, in aggregate, the best public record of how exposed the economy was, because a registration statement is the one corporate document with a cost attached to understatement.
Anthropic's amended S-1 now carries something of the same kind. Its risk factors say the company's estimates for future models indicate it "may imminently" meet its own definition of dramatically accelerated progress attributable to AI, that it might not notice such an acceleration until afterwards, and that it is considering rewriting its scaling policy to keep humans in control of building the next model. In the same filing, Claude wrote more than 90% of the company's September code.
The Y2K comparison holds on the mechanism. Section 11 of the Securities Act makes an issuer liable for a material misstatement or omission in a registration statement, so the lawyers' incentive runs toward disclosing more, not less. A sentence like "may imminently meet" is cheaper to include than to defend leaving out. That is why it is credible, and also why it should not be read as a forecast with a date on it.
The comparison fails on the threshold. Y2K had a calendar and an outside test: the clocks turned over and the systems either worked or did not. Anthropic's line is one it drew, it grades itself against, and by its own account it measures badly. Investors are therefore asked to price a company that may, on its own judgment, decide to slow the work that generates its revenue, at a time when it has $895 billion of compute commitments to pay for. No issuer I can think of has offered that combination. A railway in 1846 did not tell its subscribers it might stop laying track for safety reasons.
Who pays if the threshold is crossed? If Anthropic follows its policy and the response is a slowdown, the cost falls on shareholders, which is why the filing has to say it. If it crosses the line and the policy bends instead, the cost falls on everyone else, and nothing in a prospectus helps them.
My position: this is the most useful disclosure in the filing, and the valuation argument will not move because of it, because buyers at $1.5 trillion are betting on the acceleration it describes. The test comes in the revised policy. If the rewrite adds a concrete, outside-checkable trigger and a named pause, the language was a commitment. If it softens the definition, it was a liability shield. I would be wrong about the shield reading if Anthropic hands the measurement to a third party, which costs it little and would settle the question.
Prediction Watch
New call: Anthropic publishes a revised Responsible Scaling Policy by March 31st (Prediction 2026-11-03-T1). Its amended S-1 says it is "considering updates" to the policy to keep humans in control of frontier model development, and that it may imminently meet the policy's own acceleration threshold. We think a revised version is public within five months. Settles March 31st 2027.
Less likely now: Anthropic does not price its at $1.5 trillion or more by March 31st (Prediction 2026-11-01-F2). The Wall Street Journal reports that investors are pushing for about $1.5 trillion to $1.6 trillion, which sits on or just above the line this call needs Anthropic to stay under. Still no price range. Settles March 31st 2027.
No change: Anthropic's IPO misses its November target (Prediction 2026-09-20-F1). Monday's amendment still has no price range, and a normally runs about two weeks after one appears, which leaves very little of November. Settles December 1st 2026.
No change: Washington does not restrict Chinese rentals of offshore Nvidia capacity (Prediction 2026-10-04-B4). Nvidia's reported 51% rule closes much of the same route, but it is a sales policy passed on by word of mouth, not a Commerce rule, guidance or license condition, which is what this call is about. Settles March 31st 2027.
More likely now: Palantir hits its raised 2026 guidance (Prediction 2026-08-06-B2). We said 2026 revenue would reach at least $8.15 billion. Palantir now forecasts $8.53 billion after a 96% quarter. Settles March 31st 2027.
Supporting evidence: high-bandwidth memory stays supply-constrained through 2026 (Prediction 2026-08-06-F5). Apple calls memory pricing unprecedented and expects it to keep rising, and Huawei is telling its customers to buy their own HBM, some of it smuggled at about $4,000 a stack. Settles December 31st 2026.
No change: Moonshot publishes the Kimi K3.1 Pro weights by November 4th (Prediction 2026-10-24-T1). Moonshot's newest repository this morning is still Kimi K3, from June. One day left. Settles November 4th 2026.
No change: xAI raises Grok Bot's price or cuts its allowance by January 31st (Prediction 2026-11-02-T1). The usage spike users saw over Halloween weekend came before this call was made, and Musk has not said how limits will change. Settles January 31st 2027.
Nothing settled today. On the China and open-weights beat: Meituan's LongCat-2.5 is API-only with weights promised later, and no new open model from DeepSeek, Alibaba, Moonshot, Zhipu, MiniMax, Baidu, Tencent or StepFun has appeared on Hugging Face since Friday. The Chinese items this morning are Beijing's safety rules, Huawei's memory shortage and Meituan's release.
Sources
</content> </invoke>
- A Anthropic PBC, Amendment No. 1 to Form S-1 (SEC EDGAR)
- B Anthropic warns that it's very close to RSI capability, aka self-building AI (TechCrunch)
- B Anthropic investors push for cautious valuation closer to $1.5 trillion (Wall Street Journal, not opened)
- B Nvidia tells cloud clients to limit Chinese business (Financial Times, not opened)
- B Nvidia tells cloud partners to cap China business at 49%, FT reports (TNW)
- B China plans broad AI guardrails after global security lapses (Bloomberg, refused our fetch)
- B China plans broad AI guardrails after global security lapses (Bloomberg via The Star)
- B Smugglers get expensive memory chips to China from South Korea (The Information, paywalled, not opened)
- C China reportedly obtains smuggled HBM via server packages; Huawei 960DT faces domestic HBM shortage (TrendForce)
- A Apple reports fourth quarter results (Business Wire, not opened)
- B Apple's inventory surges 154% as memory chip costs climb (TechCrunch)
- B Apple says memory costs and Siri AI will weigh on holiday quarter profit margins (9to5Mac)
- B Apple may try to increase revenue by doing something with third-party AI apps (TechCrunch)
- A Salesforce signs definitive agreement to acquire Cresta (Salesforce, not opened)
- B Salesforce acquires startup Cresta for $2.7 billion (The Information, paywalled, not opened)
- B Salesforce adds Cresta to the cart in its 2026 CX shopping spree (CMSWire, not opened)
- A Churchill Capital Corp XI shareholders approve business combination with Agility Robotics (8-K exhibit 99.1, SEC EDGAR)
- A Churchill Capital Corp XI Form 8-K, Item 5.07 (SEC EDGAR)
- B Brookfield plans AI data center at Drax power station (CNBC)
- A NCSC Annual Review 2026: AI's impact on the cyber threat (NCSC)
- B NCSC says AI is transforming cyber operations (Financial Times, not opened)
- B OpenAI hires former Army Secretary Dan Driscoll (CNBC)
- B OpenAI hires former Army Secretary Dan Driscoll to cybersecurity role (Wall Street Journal, not opened)
- A Preparing our next security sprint to harden OpenAI (OpenAI, refused our fetch)
- B OpenAI expands security testing with help from external experts (Interesting Engineering)
- A Weight-space programming (Rikiya Takehi, MIT CSAIL, not opened)
- B Forget retraining, AI can now tweak another AI's weights (The Register)
- C Astra read-write claims are misleading (Matthew Honnibal)
- A LifeVal (OpenAI, refused our fetch)
- C OpenAI's LifeVal scores GPT-6 Astra 80.6% on everyday tasks (AI Weekly)
- B Palantir reports booming US commercial revenue growth (CNBC, not opened)
- C Why Palantir shares are crashing despite strong third-quarter beat (Invezz, not opened)
- B Putin orders private data centers to set aside 10% of capacity (The Moscow Times, citing Reuters)
- B Meituan launches LongCat-2.5 multimodal AI model for extended coding tasks (TechNode)
- B SUSE to cut one in ten employees because of AI (The Register)
- B Web host Squarespace lays off 19% of its employees (TechCrunch)
- B Map shows states where governor candidates support data center moratoriums (Newsweek)
- B Gubernatorial candidates split on data center policy in 2026 (MultiState, not opened)
- A Measuring AI agents as teammates with Collaborative Intelligence (arXiv 2611.02633, via Hugging Face)
- B Trajectory raises $45M to make AI model training accessible to nontechnical experts (TechCrunch)
- B Y Combinator's Garry Tan spends up to $200K a year on tokens (TechCrunch)
- B Google takes Dreambeans to India (TechCrunch)
- B Meta AI videos of coaches inappropriately touching young athletes (Futurism)
- A CUA-Master: scaling computer-use agents through open-world recursive improvements (arXiv 2611.03126, via Hugging Face)
- A FLAMIA: FLAsh MIcroscaling Attention for fast and causally safe training on Blackwell (arXiv 2611.03344, via Hugging Face)
- A Library of Layers: adaptively ordering transformer layers at runtime (arXiv 2611.03526, via Hugging Face)
- A Lab2Sim: turning real-world experiment videos into interactive virtual experiments (arXiv 2611.02928, via Hugging Face)
- A Moonshot AI models on Hugging Face, newest first (checked November 3rd 2026)