…at we learned from this and other analyses directly shapes how we build Claude to prevent such misuse. For example, we’ve updated the classifiers built into Claude to detect the highest-risk…
…ificant national security risks. Anthropic and other US companies build systems that prevent state and non-state actors from using AI to, for example, develop bioweapons or carry out malicio…
As AI begins to build itself, automating alignment research becomes increasingly important to let safety research keep pace. Although measuring the success of alignment research is enormousl…
…ments is multiplied across our AI and computing infrastructure to build a more powerful and sustainable digital ecosystem for all our users. Diagram showing how AlphaEvolve helps Google deli…
…n metadata, and remains detectable even when metadata is lost. To build AI-generated content responsibly, we’re committed to developing safe, secure, and trustworthy approaches at every step…
… with. Argon consistently scored amongst the top in our evals for building charts that help visualize the solutions for customers. It's also meaningfully persistent about finding those kinds…
As part of our aim to build increasingly capable and general artificial intelligence (AI) systems, we’re working to create AI tools with a broader understanding of the world. This can allow …
… level of performance in programming competitions. To help others build on our results, we’ve released our dataset of competitive programming problems and solutions on GitHub, including exte…
…Google DeepMind and Isomorphic Labs have been working together to build the foundations of a more powerful AI model that expands coverage beyond just proteins to the full range of biological…
… different layers of context must be taken into account. Here, we build upon earlier research identifying the potential risks of large-scale language models, such as privacy leaks, job autom…