…of AI-enabled exploit development underscore the importance of accelerating the find-and-fix process for defenders. Towards that end, we want to share a few technical and procedural best practices we…
…Why does this matter? We think understanding introspection in AI models is important for several reasons. Practically, if introspection becomes more reliable, it could offer a path to dramatically increasing the transparency…
…The future of Skills Agent Skills are supported today across Claude.ai , Claude Code, the Claude Agent SDK, and the Claude Developer Platform. In the coming weeks, we’ll continue to add…
…AI approach to creating more helpful, harmless, and honest AI systems. We've consistently been one of the first movers when it comes to document and content automation in pharma development. Our…
…Dun & Bradstreet , which provides the global standard for verified business identity and helps enterprises connect systems of record and scale AI-enabled workflows; Fiscal AI , which extends real-time fundamentals coverage across…
…What’s behind these behaviors? The way modern AI models are trained pushes them to act like a character with human-like characteristics. In addition, these models are known to develop rich…
…Aligning smarter-than-human AI models is a research area known as “scalable oversight”. Scalable oversight has largely been discussed in theoretical, rather than practical , terms—but at AI’s current pace…
…Eval developers have begun accounting for this. Terminal-Bench 2.0, for instance, specifies recommended CPU and RAM on a per-task basis in their latest 2.0 release. However, specifying resources…
…agent-driven development can compress months or even years of researcher work into days. This kind of compression changes what counts as idle time. A universal experience in AI research is to…
…which includes an element of competition, with different AI models facing off against each other to make the biggest profits. Sonnet 4.6 developed an interesting new strategy: it invested heavily in…