Etched emerged from stealth today with $800 million in funding and over $1 billion in signed customer contracts, unveiling its Sohu chip – an ASIC designed exclusively for transformer inference. The move signals a growing push to build domain-specific hardware for large language models, potentially reshaping the AI chip market.

OpenAI’s Codex dominates internal usage with 99.8% of weekly output tokens, while non-developer adoption surges 137x. A look at what this means for AI tooling.

Reflection AI signed a $6.3B deal with SpaceX for GB300 chips at Colossus 2 through 2029, aiming to end reliance on proprietary AI like Anthropic and OpenAI.

OpenAI has launched GPT-5.6, a family of three models, with a cautious rollout to trusted partners first. The flagship Sol features Max and Ultra modes for deep reasoning.

An autonomous AI system trained a 30B parameter model and self-corrected its evaluation metric—a first at frontier scale.

IBM announces a 0.7nm chip with 100 billion transistors, doubling density over its 2nm node and delivering up to 50% more performance or 70% lower power.

A practical, code-first walkthrough of the Claude Agent SDK: custom tools, MCP servers, and subagents — the same engine that powers Claude Code, in your own app.

Anthropic’s Claude Fable 5 generated a bootable Windows NT kernel in Rust in 38 minutes, passing all 14 self-tests. The feat demonstrates AI’s ability to write core OS software, sparking security debates.

A new study demonstrates that small language models with transient memory learn grammar more efficiently than massive models, suggesting limitations, not scale, are key to language acquisition.

OpenAI’s Record and Replay lets Mac users demonstrate a workflow once and generate a reusable Codex skill. No coding skills needed.