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Anthropic's most capable Opus yet ships on Amazon Bedrock this week with zero data retention — at half Fable 5's price.
The chipmaker is putting up to five billion dollars into Anthropic and getting up to two gigawatts of new AMD AI chip capacity dedicated to Claude in return — its biggest push yet to become a real second supplier for frontier AI.
Alibaba's 35B-A3B reasoning model scores six points higher than Google's 26B-A4B on Artificial Analysis's Intelligence Index. The catch: it costs nearly three times as much per million tokens.
Two political-risk reports both flag widening post-election instability. A local weights library is the boring, effective hedge — and a weekend is enough to build it.
The 2.4-trillion-parameter open-weight flagship previews through Alibaba's paid products at 10% of list — with public weights promised in the near term.
Six flagship creative studios wired AI agents into their tools at SIGGRAPH on Monday. The deeper play is where the silicon ends up.
Pro users lose access outright and get a one-time $100 credit. The partial climb-down from pulling Fable entirely signals competitive pressure from OpenAI's cheaper GPT-5.6 Sol — and tells Pro subscribers to plan.
An MIT CSAIL analysis of 809 large language models finds 80 to 90% of frontier performance is explained by scale alone — not secret recipes. What it means for OpenAI, Anthropic and the open-model race.
Anthropic readies a $3 trillion listing, Meta fires the opening shot on price, and China moves to lock its top models behind borders. The market just hardened into a two-horse race — and the UK is on the outside looking in.
NVIDIA's new 'max single-threaded CPU at scale' is built for persistent AI agents — not the queue of human requests. Industry analysts say Chinese data centres could have it in August.
OpenAI's new flagship scores a point behind Claude Fable 5 on the Artificial Analysis Intelligence Index, costs a third as much per task, and tops the coding-agent chart.
xAI's new model trails the frontier in benchmarks — but at $2 per million input tokens and a fifth of GPT-5.5's output price, the cost case writes itself for high-volume coding.
Independent researcher and prolific writer on practical LLM tooling, local models and the day-to-day craft of building with AI. Essential reading for anyone running models themselves.
Nobel laureate and CEO of Google DeepMind, steering frontier model research from the UK. The clearest anchor point for Britain's sovereign-AI ambitions and the science-first frontier.
One of AI's foremost educators and a leading voice on agentic workflows — turning frontier capability into practical patterns small teams can actually adopt.
The field's clearest explainer — coined 'Software 2.0', 'Software 3.0' and 'vibe coding'. He turns each shift in how AI is built into a mental model practitioners actually use.
Builds the compute the whole AI era runs on. His GTC keynotes set the industry's agenda — and in 2026 that agenda is the 'age of agents' and physical AI.
