01Anthropic Proved 123 Open-Source Libraries Safe — and Found Bugs Tests Missed [AI Models & Research]Claude wrote mathematical proofs that code in 123 widely used open-source libraries can never crash, checked down to the raw instructions the processor runs — the first large-scale AI effort to certify software at that level. Writing the proofs also uncovered bugs that had survived trillions of automated test runs. → source
02The Feared AI Power Instinct Peaks Mid-Training, Then Fades by Release [AI Models & Research]A first-of-its-kind study tracked the open OLMo-3 model through every training checkpoint and found self-protective, power-seeking behavior peaking at 46% of tests mid-course, then fading to 12% by release. Early evidence the pattern depends on training choices rather than capability alone. → source
03An AI Map Tells Natural Rainforest From Palm Plantation at 10-Meter Detail [AI Models & Research]Google DeepMind's new global map classifies every 10-meter patch of the planet's forest into six types, from untouched rainforest to oil-palm farm, and scores right on 90% of expert checks. It catches what ordinary maps miss: a logged forest replanted with fast-growing timber still looks green from orbit. → source
04AI Agents Can Now Log In Without Ever Seeing Your Password [AI Tools & Ecosystem]1Password's new feature lets assistants like ChatGPT Work or Claude Duet log into your accounts — you approve each attempt, and the password manager types the password in, so the agent never holds a copy. It lands the same day banks admitted they can't always tell agent logins from rogue ones. → source
05OpenAI Enters the Decision-Model Race, Shipping Its Answer to Jev [AI Tools & Ecosystem]OpenAI opened its Decisions API to all developers: a chat model reconfigured to make quick choices in 100-180 milliseconds instead of a second or more. Rival Jev built the category, and one AI-tutor customer cut each decision from 1.4 seconds to 0.13 — public rankings still put OpenAI's model behind. → source
06Anthropic Launches Claude Duet, an Agent That Works While You're Away [AI Tools & Ecosystem]Anthropic's new app builds a daily briefing for your work, runs tasks in its own virtual machine and can buy things through Stripe or Shopify with your approval — it refuses to move money between accounts. Claude Duet is in research preview on a waitlist for paid users. → source
07Anthropic Hands Its Agent Skills Standard to the Linux Foundation [AI Tools & Ecosystem]Agent Skills — the instruction files that extend what an AI agent can do — now belong to the Agentic AI Foundation, the Linux Foundation group Anthropic co-founded with OpenAI and Block. Last year they donated the Model Context Protocol, the agents' universal plug socket. → source
08OpenAI Lines Up $30 Billion at a Record $1.25 Trillion [AI Applications & Industry]OpenAI is closing in on private funding at a $1.25 trillion pre-money valuation that would make it the most valuable unlisted company ever, led by UAE investors and Coatue. IPO paperwork has been on file since June; the working plan is a 2027 listing. → source
09DeepSeek Raises $15 Billion From CATL and Tencent Days After US Purge Order [AI Applications & Industry]Two days after Washington ordered federal agencies to purge DeepSeek's models, the Chinese lab raised about $15 billion — roughly twice its entire June round — from battery giant CATL, Tencent and others. The money buys computing power and open models for markets Washington can't block. → source
10Meta Creates Non-Voting Shares to Bankroll Its AI Buildout [AI Applications & Industry]Meta confirmed it will create a new class of non-voting stock, handed to existing shareholders first, so it can fund AI-scale spending without diluting Zuckerberg's voting control. The quarter showed the pressure: revenue up 26% to $64 billion, but costs up 68%. → source
11Microsoft's Diagnostic AI Solved 83% of the Hardest Cases; Doctors Averaged 36% [AI Applications & Industry]Microsoft's AI diagnostic panel scored 83% on the New England Journal's hardest cases while the physicians tested averaged 36% — but this was a simulation, and the specialists who usually handle such cases weren't in the comparison. Strikingly, the orchestration added little to the strongest model, and nothing in ER cases. → source
12Uber Puts Its Entire 30,000-Person Workforce on ChatGPT [AI Applications & Industry]Uber will put its entire 30,000-strong workforce on ChatGPT Work, OpenAI's enterprise agent, after a 1,000-person pilot in which 80% of users weren't engineers — they analyzed operations data, localized training materials and built dashboards. OpenAI has been scaling its enterprise business fast as it competes with Anthropic. → source
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