While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concerning-b…

GPT-6.1 Terra: delivering fast and capable computer use at a lower price. GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.

Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO. Read more: anthropic.com/news/s1-sec Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.

TensorFold Zig engine 1.1.5 and Mac app Beta 10 are out 🙌 Beta 10 brings community-v2 benchmarks, Google sign-in fixes, updates that work through fake-IP proxies and model compatibility checks before loading. It bundles engine 1.1.4. The standalone Zig engine is now at 1.1.5, with a lot of work from the community. - Qwen3.8 Flash Next on GB10 with NVFP4: up to 28% faster prefill. - Qwen3.8 Flash Next on M3 Ultra with MLX 4-bit MTP: 16% to 23% faster decode in the release tests. - Follow-ups about the same 35k-token document: first token in 2.8s instead of 25.7s on GB10 with Flash Next FP4-Local. - LM-5.3-Flash NVFP4 at TP=2 on two GB10s: 22% more tokens/s with two streams. There's also Dory support on CUDA, more checkpoint formats, Drama 3 improvements, tool-call fixes and Windows CUDA build fixes. Huge thanks to everyone contributing to the engine. @Bizuayeu @plotarmordev @jerry543 @MiaAI_lab @agispof @softpoo @GumbiiDigital @bobclawblaw @jvr0x @ViC305 @rielstamand And on GitHub: jschmied, BlivionIaG, harrisonfriia, drowzeys, Sapphire-Rapids and Boscoeuk. Thanks for the reports too: @devopsfortunato, laidick, flashosophy and ss-cong. To everyone testing, sharing access to hardware and supporting TensorFold, thank you. If I've missed anyone, I'm sorry. @MiaAI_lab @plotarmordev @volatilemarkts @petruspennanen

I asked Jensen Huang how I should raise my children in the age of AI. What do you teach your kids when you can’t predict the future they’ll grow up in? His answer touched on curiosity, hard work, and being willing to struggle with something difficult. A personal moment from our conversation. Full interview coming soon on Superintelligence.

The internet (for humans) is untenable. You will contact each other on private intranets A cloudflare tunnel plus Tailscale like private network The internet was a fleeting experiment

Meet Kimi K3.1 Pro, our most capable 3T-class model.

d1 just got an upgrade! Meet 𝚍𝟷.𝟷. It brings significantly better decision quality than d1, getting closer to d1-ultra while running faster and costing less than half as much. > built for fast, structured decision-making > $0.02 / 1M input tokens > lower latency than d1-ultra Available today on the Liquid Console: console.liquid.ai Coming soon to OpenRouter and Vercel.