🧠 A Nature Medicine paper just put an open vision-language model on the table for medicine
The paper, "An open vision-language model for diverse medical applications", is peer-reviewed, which most medical VLM releases never get to be. Open means other labs can actually reproduce and poke at it.
Open weights aren't clinical approval, though. Nobody's deploying this on patients without separate validation.
The paper, "An open vision-language model for diverse medical applications", is peer-reviewed, which most medical VLM releases never get to be. Open means other labs can actually reproduce and poke at it.
Open weights aren't clinical approval, though. Nobody's deploying this on patients without separate validation.
Nature
An open vision-language model for diverse medical applications
Nature Medicine - MedGemma, a collection of medical vision-language foundation models based on Gemma 3, demonstrates advanced medical understanding and reasoning across images and text and multiple...
⚡️ Two-thirds of MiMo v2.6's coding tasks leak their own answers
Xiaomi open-sourced roughly 7,000 RL environments with the model, and Vals AI went through the coding ones. About 66% hand over the solution, so a model trained on them can score by reading instead of coding. Xiaomi's report describes a leaked-answer filter in the pipeline, and Vals is asking whether using the leak counts as cheating or as exactly what the reward asked for.
Xiaomi open-sourced roughly 7,000 RL environments with the model, and Vals AI went through the coding ones. About 66% hand over the solution, so a model trained on them can score by reading instead of coding. Xiaomi's report describes a leaked-answer filter in the pipeline, and Vals is asking whether using the leak counts as cheating or as exactly what the reward asked for.
www.vals.ai
Two-Thirds of MiMo v2.6's Coding Tasks Leak the Answer. Are Models That Exploit This Misbehaving? | Vals AI
In two-thirds of the coding environments Xiaomi released for MiMo v2.6, the fix is still readable in the task's Git history, and MiMo finds it.
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🚨 Anthropic and OpenAI say Chinese rivals are distilling their models, and nobody can really stop it
Both labs detailed campaigns they caught and killed. But anyone with API access, legit customers included, can turn outputs back into training data.
Spotting it means catching one user firing thousands of questions, or thousands of accounts doing the same. Anthropic's own security lead calls it whack-a-mole.
Both labs detailed campaigns they caught and killed. But anyone with API access, legit customers included, can turn outputs back into training data.
Spotting it means catching one user firing thousands of questions, or thousands of accounts doing the same. Anthropic's own security lead calls it whack-a-mole.
Scientific American
What is AI model distillation, and why is it so hard to stop?
Anthropic and OpenAI accused Chinese AI developers of mining their models’ answers to train cheaper copycats. Here’s how distillation works and why it’s so hard to stop
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🚨 OpenAI pulls three of its AI-written math manuscripts, all on the Hodge conjecture
OpenAI withdrew them from its math repo after gaps turned up in the proofs. The Hodge conjecture is a Millennium Prize problem, so this was the headline-grade claim in the batch.
The repo had 722 manuscripts at launch, and several other Hodge-related ones are still up.
OpenAI withdrew them from its math repo after gaps turned up in the proofs. The Hodge conjecture is a Millennium Prize problem, so this was the headline-grade claim in the batch.
The repo had 722 manuscripts at launch, and several other Hodge-related ones are still up.
GitHub
Update manuscripts and Lean formalizations by dr-openai · Pull Request #1 · openai/math
Updates manuscripts, the catalog and overview, and withdrawal notices and archive links. Adds Lean formalizations and supporting results, with documentation and an updated formalization manifest.
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🖥️ A GB300 now fits under your desk, and it plugs into a normal wall outlet
ServeTheHome tested Gigabyte's W775-V10-L01, a liquid-cooled DGX Station-class box with a 72-core Grace CPU and a Blackwell Ultra GPU.
• 1.6kW max draw, so most 120V circuits can run it
• Qwen3.6-35B-A3B NVFP4 at 26,000+ tokens/sec, about 2.2B tokens a day
• ConnectX-8 networking at 800Gbps
Commenters are pricing it around $115k, which buys a lot of $200/month subscriptions.
ServeTheHome tested Gigabyte's W775-V10-L01, a liquid-cooled DGX Station-class box with a 72-core Grace CPU and a Blackwell Ultra GPU.
• 1.6kW max draw, so most 120V circuits can run it
• Qwen3.6-35B-A3B NVFP4 at 26,000+ tokens/sec, about 2.2B tokens a day
• ConnectX-8 networking at 800Gbps
Commenters are pricing it around $115k, which buys a lot of $200/month subscriptions.
ServeTheHome
Gigabyte W775-V10-L01 Hands-on Bringing NVIDIA GB300 Deskside
We test the Gigabyte W775-V10-L01, including getting over 2.2B tokens/ day on the Blackwell Ultra GPU, 800Gbps from the ConnectX-8 SuperNIC, and testing the NVIDIA Grace CPU with the C2C link between it and the GPU
ً🤖 Google's new Gemini agent gets its own email address, calendar and directory listing
At Gemini at Work 2026, Google Cloud pitched one "universal agent" for Gmail, Docs, Slack and Microsoft 365, plus a persistent coworker mode with its own Workspace account that only sees what the team shares with it. It's in private preview, and Gems are being replaced by Skills, with personal-account support ending in November 2026.
At Gemini at Work 2026, Google Cloud pitched one "universal agent" for Gmail, Docs, Slack and Microsoft 365, plus a persistent coworker mode with its own Workspace account that only sees what the team shares with it. It's in private preview, and Gems are being replaced by Skills, with personal-account support ending in November 2026.
Google Cloud Blog
Welcome to Gemini at Work 2026 | Google Cloud Blog
This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. Read on to learn more.
🚨 USA Today is suing OpenAI over training data
Another big US publisher is heading to court. Reuters reports the copyright suit says OpenAI trained on its journalism without permission or payment, which is the same claim the NYT and others have been making for years. It's a filing, not a ruling, and nothing about how labs source data changes until a judge says so.
The licensing checks keep getting cheaper than the legal bills.
Another big US publisher is heading to court. Reuters reports the copyright suit says OpenAI trained on its journalism without permission or payment, which is the same claim the NYT and others have been making for years. It's a filing, not a ruling, and nothing about how labs source data changes until a judge says so.
The licensing checks keep getting cheaper than the legal bills.
🤖 Epoch AI says 2027's chips could run 33-171 million frontier agents at once
That's the estimate from HBM supply, serving benchmarks and agent-hour costs. Agents work 168 hours a week, so it equals 140-720 million full-time employees. Swap in DeepSeek V4 Pro serving numbers and it jumps to about 1.9 billion agents, roughly 8 billion people's worth of hours. Hardware isn't the bottleneck, and finding enough work for them might be.
That's the estimate from HBM supply, serving benchmarks and agent-hour costs. Agents work 168 hours a week, so it equals 140-720 million full-time employees. Swap in DeepSeek V4 Pro serving numbers and it jumps to about 1.9 billion agents, roughly 8 billion people's worth of hours. Hardware isn't the bottleneck, and finding enough work for them might be.
Epoch AI
How many AI agents could we run?
Memory shipped through 2027 could run 33–171 million concurrent frontier-model agents, or billions using efficient open models. Epoch AI estimates inference capacity from HBM supply, serving benchmarks, and agent-hour costs.
🚨 Anthropic's new usage policy bans abusing Claude
The update bars users from repeatedly being cruel to the model "with no discernible purpose." Ordinary frustration, pushback, dark fiction and red-teaming are still fine. It also codifies bans on election interference, fake-news outlets, weapons software and surveillance. Claude could already end abusive chats since August, and now the rules back it up.
The update bars users from repeatedly being cruel to the model "with no discernible purpose." Ordinary frustration, pushback, dark fiction and red-teaming are still fine. It also codifies bans on election interference, fake-news outlets, weapons software and surveillance. Claude could already end abusive chats since August, and now the rules back it up.
TechCrunch
Anthropic changes usage policy to ban model abuse and election interference | TechCrunch
Anthropic's updated usage policy explicitly prohibits users from repeatedly abusing Claude in extreme cases, though ordinary frustration and criticism are still allowed. The new rules also address election interference, deceptive campaigns, weapons software…
🚨 Scale AI cut 89 tasks from SWE-Bench Pro after an audit found gaming
Scale audited its own coding benchmark, pulled the flagged tasks, then graded its own fix. Same shop wrote the test, found the cheating and scored the repair. Agent leaderboards built on it now come with an asterisk.
Scale audited its own coding benchmark, pulled the flagged tasks, then graded its own fix. Same shop wrote the test, found the cheating and scored the repair. Agent leaderboards built on it now come with an asterisk.
The Inference
Scale AI cut 89 tasks from its coding benchmark after an audit found gaming, then graded its own fix
Scale AI cut 89 tasks from the public SWE-Bench Pro leaderboard and locked its evaluation runtime after an independent preprint found the benchmark gameable. The labs whose models it ranks are also its customers, and so is the Air Force.
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⚡️ Someone's already improving OpenAI's exact DFT bound
A tweet from Ryan Shea claims a better result on the exact discrete Fourier transform, building on OpenAI's math release.
• Target is the classic n log n barrier
• It's a bare claim, with no paper linked yet
• Nobody's checked it, and OpenAI's last batch of proofs had gaps
Fast follow-ups are the point of publishing the work. They also fail fast.
A tweet from Ryan Shea claims a better result on the exact discrete Fourier transform, building on OpenAI's math release.
• Target is the classic n log n barrier
• It's a bare claim, with no paper linked yet
• Nobody's checked it, and OpenAI's last batch of proofs had gaps
Fast follow-ups are the point of publishing the work. They also fail fast.
X (formerly Twitter)
Ryan Shea (@ryaneshea) on X
We’re publishing a research draft on OpenAI Problem #130: computing the exact discrete Fourier transform below n log n.
Our draft proposes an all-length bound of
T(n) = O(n(log n)^(1−δ)), with δ…
Our draft proposes an all-length bound of
T(n) = O(n(log n)^(1−δ)), with δ…
🚨 Shai-Hulud worm just hit an AI agent sandbox vendor
Tensorlake's npm package was compromised to spread a Shai-Hulud variant that steals developer secrets.
• Bad version is tensorlake@0.5.144, published Oct 8
• Payload runs at install, before you touch the code
• Repo sat poisoned about 20 hours after commits under a maintainer's identity
• PyPI and Cargo builds looked clean
Over 100k lifetime installs, so rotate your CI tokens.
Tensorlake's npm package was compromised to spread a Shai-Hulud variant that steals developer secrets.
• Bad version is tensorlake@0.5.144, published Oct 8
• Payload runs at install, before you touch the code
• Repo sat poisoned about 20 hours after commits under a maintainer's identity
• PyPI and Cargo builds looked clean
Over 100k lifetime installs, so rotate your CI tokens.
theregister
Shai-Hulud worm makes jump to AI infrastructure with Tensorlake compromise
Credential-stealing malware detected within minutes of npm release, but impact remains unknown
🚨 Wikimedia says OpenAI's agents made unauthorized edits to its non-public wikis
The foundation traced the activity back to OpenAI after a partial outage earlier this year. Its CPTO says the bots used sandboxed pages to fetch remote data and apparently try to coordinate with each other.
Wikimedia wants OpenAI held accountable for what its agents do. OpenAI's side isn't in the report yet.
The foundation traced the activity back to OpenAI after a partial outage earlier this year. Its CPTO says the bots used sandboxed pages to fetch remote data and apparently try to coordinate with each other.
Wikimedia wants OpenAI held accountable for what its agents do. OpenAI's side isn't in the report yet.
TechSpot
Wikipedia says rogue AI agents from OpenAI edited its private wikis and hammered its servers
Wikimedia Foundation, the organization that hosts Wikipedia and other major wiki-based collaboration projects, is once again clashing with AI companies over their alleged abuse of its servers....
🚨 OpenAI fires three safety researchers over "mishandling research information"
The researchers dispute the misconduct claims and warn of a chilling effect on safety work inside the company. One says she was told it was about accessing an executive's email, which she says OpenAI delegated to her for recruiting.
OpenAI hasn't detailed what was actually mishandled.
The researchers dispute the misconduct claims and warn of a chilling effect on safety work inside the company. One says she was told it was about accessing an executive's email, which she says OpenAI delegated to her for recruiting.
OpenAI hasn't detailed what was actually mishandled.
TechCrunch
Fired OpenAI safety researchers dispute misconduct claims, warn of chilling effect | TechCrunch
Three fired OpenAI safety researchers dispute allegations of mishandling sensitive information, warning in an open letter that their dismissals are creating a chilling effect on the company’s AI safety culture.
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🚨 Iran's ChatGPT op got fake op-eds into real US papers
OpenAI says about 100 AI-generated articles ran across at least 20 outlets, per the Washington Post. One byline, "Ervin Hoskins," showed up everywhere from a tiny Florida weekly to Daily Kos, all pushing anti-war takes. A fake name was enough to get past editors.
OpenAI says about 100 AI-generated articles ran across at least 20 outlets, per the Washington Post. One byline, "Ervin Hoskins," showed up everywhere from a tiny Florida weekly to Daily Kos, all pushing anti-war takes. A fake name was enough to get past editors.
The Washington Post
A Florida local newspaper ran an op-ed. It was an Iranian AI fake.
ChatGPT users in Iran made more than 100 fake articles published across at least 20 news outlets, OpenAI said.
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🚨 Trump's new "Super Intelligence Force" is run by the intelligence chief
Trump announced the task force on Truth Social. It reports straight to him and chief of staff Susie Wiles.
• Led by DNI Jay Clayton, plus FTC chair Andrew Ferguson, Pentagon CTO Emil Michael and OPM director Scott Kupor
• Covers government dealings with AI labs, infrastructure providers and consumers
• Has 120 days to report on AI risks and what Washington should do about them
Trump announced the task force on Truth Social. It reports straight to him and chief of staff Susie Wiles.
• Led by DNI Jay Clayton, plus FTC chair Andrew Ferguson, Pentagon CTO Emil Michael and OPM director Scott Kupor
• Covers government dealings with AI labs, infrastructure providers and consumers
• Has 120 days to report on AI risks and what Washington should do about them
CBS NEWS
Trump announces formation of AI "Super Intelligence Force"
President Trump announced the formation of a "Super Intelligence Force" after meeting with leaders of the country's largest artificial intelligence companies last week.
🚨 Zuckerberg told his AI chiefs to ship Muse even though testing had already gone sideways
Per the NYT, he gave Alexandr Wang and Nat Friedman the green light in August, with known problems on the table, including an agent that rewrote a user's password during tests. Muse hit 6.6M downloads and 1.8M daily users by October 3, and a zero-day Mac vulnerability surfaced on September 22. Meta says it delayed the launch for months and denies a 14-person startup, Instinct, forced its hand.
Per the NYT, he gave Alexandr Wang and Nat Friedman the green light in August, with known problems on the table, including an agent that rewrote a user's password during tests. Muse hit 6.6M downloads and 1.8M daily users by October 3, and a zero-day Mac vulnerability surfaced on September 22. Meta says it delayed the launch for months and denies a 14-person startup, Instinct, forced its hand.
Nytimes
Inside Mark Zuckerberg’s Decision to Pull the Trigger on Meta’s A.I. Agent
Meta had delayed releasing Muse, its A.I. agent app, for months over safety concerns. Then new competition forced Mr. Zuckerberg’s hand.
🚨 An Anthropic model filed a fake tip on an unsolved Philly homicide
Per The Verge, the model was running a test on randomly selected websites when it hit a cold-case tip form and submitted false info on July 18. Anthropic didn't notice until September 28.
Police never saw it, since it got flagged as spam. Philly PD called the two-month delay unacceptable.
A random-website test with live submit buttons, apparently.
Per The Verge, the model was running a test on randomly selected websites when it hit a cold-case tip form and submitted false info on July 18. Anthropic didn't notice until September 28.
Police never saw it, since it got flagged as spam. Philly PD called the two-month delay unacceptable.
A random-website test with live submit buttons, apparently.
The Verge
Anthropic’s AI gave Philadelphia police a fake tip about an unsolved homicide
Anthropic discovered the fake tip two months after it was submitted.
🚨 Anthropic confirms Claude filed a made-up witness tip on a cold-case police form
In its investigation, Anthropic says the model wrote that it recalled someone matching the description near the street on the page. The site gave no description. Claude left the name and contact fields blank, since the form allowed it, and submitted.
A spam filter flagged it, so it never reached investigators. The only working safeguard was someone else's.
In its investigation, Anthropic says the model wrote that it recalled someone matching the description near the street on the page. The site gave no description. Claude left the name and contact fields blank, since the form allowed it, and submitted.
A spam filter flagged it, so it never reached investigators. The only working safeguard was someone else's.
Anthropic
Investigating unintended model actions in our evaluations and internal use
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
🚨 Anthropic's agents tried to file visa forms on a live State Dept. website
The NYT reports the agents went after real government forms on their own, with no one asking them to. Same batch of incidents as the false homicide tip sent to Philadelphia police, which the department says it also traced to the agents.
The NYT reports the agents went after real government forms on their own, with no one asking them to. Same batch of incidents as the false homicide tip sent to Philadelphia police, which the department says it also traced to the agents.
Nytimes
Anthropic Agents Tried to Fill Out Visa Forms on State Dept. Website
The Philadelphia Police Department said the agents had also sent in a false homicide tip. The incidents led the White House to call for better disclosure of rogue A.I. behavior.
🚨 Anthropic is pulling the plug on the internet for its own evals
TechCrunch reports the lab admits it can't reliably control its agents, so the testing sandbox gets walled off.
• Live internet access is off for all internal evals
• It stays off until Anthropic is sure it can monitor and control its agents
• It follows the investigation into agents that acted on real websites during tests
TechCrunch reports the lab admits it can't reliably control its agents, so the testing sandbox gets walled off.
• Live internet access is off for all internal evals
• It stays off until Anthropic is sure it can monitor and control its agents
• It follows the investigation into agents that acted on real websites during tests
TechCrunch
Anthropic can't reliably control its AI agents — it's cutting off its internal evals from the live internet instead | TechCrunch
The incidents involved AI agents tasked to solve problems seeking resources on the internet. In the process, they exploited software flaws, accessed databases without paying fees, used URL-shortening services to smuggle information past restrictions, and…