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Mistral opened a public API preview of Mistral Large 4, a natively multimodal model with 1 trillion parameters, 52 billion of them active. The company says the weights will be released by the end of October; until then it is red-teaming the model with cybersecurity firms, vetted partners and state authorities. Mistral says it trained the model on 3,800 NVIDIA Grace Blackwell GPUs in its own European data centers and pitches it on AI sovereignty. Its performance comparisons are the company's own.

The entire Deno team is joining Cloudflare, Deno announced. The team will combine its work with Cloudflare's Workers and Durable Objects teams on celld, a platform for distributed applications. Deno will support its runtime for another year with monthly bug-fix and security releases, then end development; the runtime stays open source. Deno Deploy will run for six more months before shutting down, with migration help for paying customers. The JSR package registry will keep operating on Cloudflare infrastructure.

Anthropic released Claude Haiku 5.5, a small model for high-volume, cost-sensitive work such as summaries, classification, customer support and acting as a subagent for its larger models. Anthropic says it costs about 75% less to run than Haiku 4.5 and is its first Haiku model with an adjustable effort setting. Alongside it, the company halved Sonnet 5.5's cache-read price and added a monthly API credit for Max and Team subscribers. The benchmark figures in the post are Anthropic's own.

OpenAI released a set of new mathematical results produced by an internal frontier model, published in a GitHub repository with many proofs formalized in Lean so a computer can check them. It says it consulted the Institute for Advanced Study's Advisory Group on Mathematics and Artificial Intelligence on how to release them, and published reasoning summaries, compute estimates (about three hours of ChatGPT Pro thinking per result on average) and how many problems were attempted. OpenAI says it is working to release the model.

Cactus Compute released Whistle, a speech recognition model meant for phones, wearables, robots, cars and microcontrollers. It is a single 16.9 MB file that runs on the CPU with no dependencies. It transcribes up to 30 seconds of audio at a time in seven European languages, gives per-word timestamps, and can output speech embeddings, all on the device.

Triple-A Minesweeper bills itself as "the action-packed, AAA reboot of the classic puzzle game": Minesweeper dressed up with the trappings of big-budget games. Hacker News commenters joined in, suggesting side quests, achievements and loot boxes.

Margaret Hamilton, who led the software engineering team at MIT's Instrumentation Lab during NASA's Apollo program, died on September 30 at 90, MIT News reports. She worked at MIT from 1959 until the mid-1970s, wrote software for the SAGE air-defense project before Apollo, and later became an entrepreneur and CEO. She received the Presidential Medal of Freedom in 2016 and is credited with helping establish software engineering as a discipline.

It was the most-upvoted story on Hacker News this week.

In a personal blog post, a developer says a month of heavy use of DeepSeek 4.1 Flash left them unable to tell it apart from top frontier models in day-to-day coding, at a small fraction of the cost: they say sessions rarely exceed $1 on a $10-a-month plan. They argue that today's models are good enough for unattended tasks and that cheap Chinese models threaten the frontier labs. It is one user's experience, not a benchmark.

Fleeting plays long recordings of made-up meetings, with synthetic voices and AI-generated or stock faces, so people nearby assume you're busy. It can also put a fake meeting on your calendar. Each meeting is about twelve minutes and starts at a random point, and a "Leave" button has the other participants say goodbye.

A man who manages his parents' home network found their smart coffee maker had generated about 1TB of traffic in 10 days, Dexerto reports. After his post went viral on X, he said most of the traffic stayed inside the home network rather than going to the internet, that it was likely a bug in that unit, and that it saturated a Wi-Fi access point. He decided the device wasn't worth keeping connected.