Kyutai, working with Inria and École des Ponts, has released REKI, a 2.4-billion-parameter vision-language-action model for robotic manipulation, trained solely on public data and equipped with a low-cost memory of recent events. On three out-of-distribution benchmarks, only models roughly twice its size outperform it, and its weights are publicly available.
Google cofounder Sergey Brin said in a roundtable on Gemini 4 Argon that the company is starting to get onto a path of recursive self-improvement, with researchers and models working together. He cited the Flash models released before Gemini 4 as evidence.
Interconnects analyzes how Meta's latest moves reshape both open and closed frontier AI. The newsletter's verdict is that US open-weight models are back.
Security firm XBOW won $250,000 from Google's Chrome bug bounty programme with a full exploit chain built using GPT-5.6 Sol. One of its researchers said such work once took a team of four six to nine months, while the awarded submission took six days.
DeepSeek has released V4.1-Flash-1017, a new checkpoint of V4.1-Flash available on its website, app and API. The company says it scores higher, finishes tasks faster and writes shorter outputs than the September release, calling it a gain on both performance and cost, and it is also opening a search API.
TypeSafe launched Jev, a decision model that returns a label, a score or a yes/no probability from answers the user defines, on 15 September. In roughly four weeks at least 20 rivals appeared, from Cloudflare, OpenAI, Perplexity, Liquid AI, AWS's Strands Labs and independent developers.