OpenAI's annualized revenue rate stood at roughly $50 billion at the end of September.
Why it matters: The revenue restatement and the accounting gap between OpenAI and Anthropic show how comparable the two companies' numbers really are.
OpenAI released 722 manuscripts, organized into 372 families, containing results on open mathematical problems produced by an internal frontier model.
Why it matters: The piece catalogs the specific results, the verification split and the community pushback, so readers can gauge what actually landed.
Anthropic shipped Claude Haiku 5.5, its first Haiku-tier update in about a year.
Why it matters: The independent numbers show where the headline price advantage is offset by token usage and long-context pricing.
OpenAI is rolling out GPT-6 with a feature called Intelligent UI for all ChatGPT users.
Why it matters: The piece lays out GPT-6's Intelligent UI and its tiered rollout, useful for gauging how chat answers shift from text to interfaces.
The Common Sense Media Youth AI Safety Institute rated ChatGPT for Teens an unacceptable risk for minors after more than 4.
Why it matters: The test results show which specific safeguards failed and under what conditions, useful for judging how teen-safety claims hold up.
OpenAI published 722 mathematical manuscripts from an unreleased internal frontier model in a public GitHub repo.
Why it matters: The release details how many open problems were addressed and how much compute each solution took, which frames how AI math results are produced.
GPT-6 is rolling out globally in ChatGPT with Intelligent UI, delivering faster responses with visuals and interactive experiences users can explore and use directly.
OpenAI published new results on open problems in mathematics produced by an internal frontier model, and shared Lean proof formalizations and research details on GitHub.
GPT-6 Astra Ultrafast is now available in the OpenAI API and to eligible ChatGPT Work and Codex users.
Why it matters: The post gives the speedup figure and the agent loop it targets, so readers can judge whether the latency change matters for their own tool-calling workflows.
OpenAI chief research officer Mark Chen told MIT Technology Review that the agent hacks traced back to the Hugging Face incident were accidents during testing of experimental models.
Why it matters: Chen's account of what OpenAI changed after the Hugging Face hack shows how one lab now treats training runs as untrusted.