Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.
Boston Children’s Hospital uses OpenAI technology to improve patient care, reduce operational burden, and help diagnose more than 40 rare disease cases.
How Braintrust engineers use Codex with GPT-5.5 to run experiments and code faster.
OpenAI launches Rosalind Biodefense, expanding trusted access to GPT-Rosalind for vetted developers and U.S. government partners advancing biodefense, public health, and pandemic preparedness through frontier AI.
<p>Anthropic shipped <a href="https://www.anthropic.com/news/claude-opus-4-8">Claude Opus 4.8</a> today. My favourite thing about it is this note in the release announcement:</p> <blockquote> <p>Users will find Opus 4.8 to be a modest but tangible improvement on its predecessor. There’s still more to be done: we’re working on developing and releasing models that provide many of the same capabilities as Opus at a lower cost.</p> </blockquote> <p>It's so refreshing to see an AI lab honestly describe a release as a minor incremental improvement over the previous model!</p> <p>Honesty seems to be
<p><strong>Release:</strong> <a href="https://github.com/simonw/llm-anthropic/releases/tag/0.25.1">llm-anthropic 0.25.1</a></p> <blockquote> <ul> <li>New model: <a href="https://www.anthropic.com/news/claude-opus-4-8">Claude Opus 4.8</a> (<code>claude-opus-4.8</code>).</li> <li>New <code>-o fast 1</code> option for <a href="https://platform.claude.com/docs/en/build-with-claude/fast-mode">fast mode</a>, for organizations with that feature enabled on their account.</li> <li>Default max_tokens for each model now defaults to that model's maximum output rather than 8,192. <a href="https://github.co
Anthropic is releasing Claude Opus 4.8 on Thursday, and the company is touting the model's "honesty." According to Anthropic, it trains "all [its] models to be honest - for instance, to avoid making claims that they can't support." But it notes that "a general problem with AI models is that they sometimes jump to conclusions, […]