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OpenAI began rolling out GPT-6 across ChatGPT today, headlined by "Intelligent UI" — the model composes answers out of interactive elements like buttons, forms, charts, and live widgets instead of plain text. Paid tiers get GPT-6 Sol starting today; Free and Go tiers get GPT-6 Luna tomorrow. OpenAI is pitching it at all 1.2 billion weekly ChatGPT users and calling it a shift in how people interact with the product.
Anthropic shipped Claude Haiku 5.5 today, billing it as their cheapest, fastest, and most capable small model — roughly 75% cheaper to run than Haiku 4.5, with input dropping to ten cents per million tokens for prompts under 100K. It posts 72.4% on OSWorld 2.1 for computer use and adds adjustable effort settings so you can dial cost against capability. Anthropic also halved Sonnet 5.5 cache-read pricing and tossed monthly API credits to Max and Team subscribers.
Both giants are steering staff off Anthropic's Claude and onto their own tooling — Microsoft toward GitHub Copilot, Meta toward MetaCode and Muse Code. Meta's internal Claude Code seats reportedly fell from about 60,000 to 30,000 this year, and Microsoft trimmed a projected billion-dollar internal Claude spend. Neither canceled a contract; Claude is still on Azure and Foundry — this is purely an internal-tooling pullback.
Scott Aaronson calls OpenAI's release of AI-generated proofs for 372 major open problems one of the biggest days in mathematical history — including a proof of the Unique Games Conjecture. The catch: the proofs are nearly unreadable, with Dana Moshkovitz describing the UGC proof as written by someone on psychedelics and impossible to parse without AI help. Aaronson frames it as math drifting toward an empirical science, where the work becomes a race to understand rather than to discover.
A new arXiv paper argues AI autoformalisation — translating natural-language proofs into Lean — can't reliably verify mathematics, because resolving ambiguity in mathematical prose is harder than any computational problem, including the Halting problem. The authors point at OpenAI's announced Navier-Stokes proof, where the Lean formalisation reportedly doesn't correspond to the natural-language argument. The upshot: a green checkmark from Lean says nothing about whether the translation was faithful.
Docker open-sourced Docker Agent, a no-code framework for defining AI agents in YAML and having them collaborate on tasks. It supports OpenAI, Anthropic, Gemini, Bedrock, Mistral, xAI, and local models via Docker Model Runner, plus MCP tool access, RAG, planning, and memory. Agents package and ship as OCI artifacts, so you version and distribute them like container images.
Chrome 155 ships JPEG XL decoding, ending a long saga after Google pulled support years back. The decoder is written in Rust — jxl-rs — to sidestep the memory-safety landmines of C++ image parsers, with SIMD optimizations keeping it competitive on speed. JXL brings 30 to 50 percent better compression than JPEG, HDR, and lossless JPEG transcoding; Chrome's advice is to test it against AVIF per use case.
A zero-backend web app that turns any screen into a giant sign — welcome messages, Wi-Fi passwords, countdowns, rotating slides — with text auto-scaling from phone to stadium display. Everything lives in the URL fragment after the hash, which browsers never send to a server, so there's no account, no storage, and no tracking. Share the link and you've shared the whole app state.
A deep dive on the idiom of hoisting conditionals toward callers while pushing loops down into tight, branch-free batch code. The post traces the same pattern through query planners — pushing selections before joins, vectorized execution over row-at-a-time — and into category theory, where narrowing an Option to a concrete type is a subobject restriction. The sharp part is the limits section: these rewrites are only valid under specific algebraic conditions, not vibes.
New archival work in the Journal of the History of Biology argues Franklin grasped DNA's helical structure before Watson and Crick, overturning the story that she missed the meaning of Photograph 51. The paper centers on Photograph 49, shot from the same DNA sample, and Franklin's notes showing she deliberately adjusted the camera to capture the better exposure. In other words, she took Photograph 51 precisely because she knew what could be calculated from it.