A “diff” tool for AI: Finding behavioral differences in new models
… This approach to safety is inherently reactive . …
… This approach to safety is inherently reactive . …
… And because of this generalist nature, there are numerous other security threats that could be prioritized. We understand why one might be skeptical of prioritizing biorisk when considering the security implications of AI. …
… Safety classifiers The frontier cybersecurity and research biology capabilities of Mythos-class models mean that they pose a substantial risk of uplift to malicious actors. …
… Preventing such misalignment is one of the objectives of our safety testing, discussed in the next section. …
…We are committing more than $100 billion over the next ten years to AWS technologies, securing up to 5GW of new capacity to train and run Claude. The commitment spans Graviton and…
… Security professionals who wish to use Opus 4.7 for legitimate cybersecurity purposes such as vulnerability research, penetration testing, and red-teaming are invited to join our new Cyber Verification Program . …
… Claude's advanced capabilities, combined with Anthropic's commitment to safety, are central to our purpose of harnessing AI responsibly, as we drive for transformation in critical areas like fraud prevention & customer service enhancement.” - Rodrigo Castillo, Chief Technology Officer at Commonweal… …
… Our agenda focuses on four areas for research: Economic diffusion Threats and resilience AI systems in the wild AI-driven R&D In Core Views on AI Safety , we wrote that doing effective safety research required close contact with frontier AI systems. …
… Other pages including about:home have Content-Security-Policy headers that block WebAssembly execution. …
… Software engineering accounted for nearly 50% of agentic activity, but we saw emerging usage in healthcare, finance, and cybersecurity. …