…Run-to-run variability was largely eliminated, and the performance gap between models narrowed dramatically. In other words, adding a deterministic retrieval layer made model choice much less important . This is especially…
…First is that models tend to lose coherence on lengthy tasks as the context window fills (see our post on context engineering ). Some models also exhibit "context anxiety," in which they begin…
…As models have become significantly better at long-horizon tasks over the last year or so, a new way of working emerged: rather than getting involved with every detail, we can specify…
…We have updated the model cards for both Claude Opus 4.6 and Claude Sonnet 4.6. For the Opus 4.6 multi-agent configuration described in this report, the run we…
…An initial update An early update on what we've learned from Project Glasswing.
…Markets steer the direction of model improvement according to private return, but can we improve how models perform to address social externalities? Related content Teaching Claude why New research on how we…
…minor documentation updates and one is a critical infrastructure change, simply counting the number of these tasks performed with Claude misses the point. Not only that, but as model capabilities improve, we…
…Autodesk Fusion allows designers and engineers with a Fusion subscription to create and modify 3D models through conversations with Claude. Blender offers a natural-language interface to its Python API, allowing users…
…As our models have improved, they have become more aligned on most behavior evaluations, but this doesn’t mean risk necessarily shrinks. Less capable models are more likely to misread a situation…
…Claude remains the only frontier AI model available to customers on all three of the world's largest cloud platforms: AWS (Bedrock), Google Cloud (Vertex AI), and Microsoft Azure (Foundry). Claude Platform…