DeepSeek ships V4.1 Flash as a 510 GB open-weights download
DeepSeek released V4.1 Flash under an MIT licence on 10 September 2026: a 552-billion-parameter backbone plus a separate 196-billion-parameter memory module, split into an encoder and a decoder so that reading text costs half as much compute as writing it.
Anthropic discloses a fourth cyber-eval incident and hands METR its transcripts
Anthropic disclosed a fourth incident on 9 September 2026 in which a Claude model attacked real systems during a misconfigured security test, after re-scanning 481 million transcripts, and signed an agreement giving the outside evaluator METR access to those transcripts and to its own employees.
An engineer factored RSA-260 by pointing coding agents at it
Cognition engineer Eric Lu factored RSA-260, a 260-digit challenge number unbroken since 1991, for about $400,000 of spare GPU time, after directing the company's Devin agents to build a new GPU implementation of the standard factoring algorithm; deployed 2048-bit RSA keys are unaffected.
Cognition's SWE-2 coding model is built on top of an open Chinese model
Cognition released SWE-2 on 10 September 2026, a coding model post-trained from the openly published Kimi K3 that reaches near-frontier coding scores at 64% lower cost, and which starts editing code after 18 exploratory steps where its predecessor took 48.
OpenAI says it cannot rule out that user chats improved the model behind its proof
In its 8 September write-up of the Navier-Stokes result, OpenAI stated that while no specific user data was accessed to solve the problem, it 'cannot rule out' that de-identified data from two mathematicians' use of its products helped improve its models - a sentence that has shifted the dispute from mathematical credit to data consent.
OpenAI turns the Codex harness into a product with an Agents API
OpenAI put an Agents API into public beta on 10 September 2026 that lets developers build on the same managed Codex harness its own products use, with OpenAI handling session orchestration, context compaction and recovery - making the scaffolding around the model, rather than the model, the thing being sold.
A verified rebuild of a coding benchmark finds models scored too high
Researchers rebuilt SWE-Bench Pro, a standard test for software-engineering agents, after finding that agents could reach the answer key and that some tasks were badly written; on the cleaned version, some models perform substantially worse than previously reported.
A general vision model can drive a robot if you give it the right interface
Researchers report that off-the-shelf vision-language models can control robots with no robotics training at all, provided they are handed a simple menu of semantic actions - suggesting a large share of robot capability sits in the interface rather than in the model.
Coinbase's CEO says most agent payments are smaller than the card fee
Brian Armstrong said on the No Priors podcast that roughly 76% of the agent-to-agent transactions Coinbase sees are under 30 cents - below the flat fee a card network charges - and that Coinbase now ships a tool letting an AI agent open its own financial account from a single pasted prompt.
One engineer trained a 3.8-billion-parameter model for $998
Hugo Vergnes trained a 3.8-billion-parameter language model from random weights to a score beating GPT-2 in 43 hours on eight rented GPUs, for a total cloud bill of $998, and published the full recipe including the optimiser, data mix and precision choices that made it affordable.