Teaching Claude why
… Thus, after Claude 4, it was clear we needed to improve our safety training and, since then, we have made significant updates to our safety training. …
… Thus, after Claude 4, it was clear we needed to improve our safety training and, since then, we have made significant updates to our safety training. …
Announcements Australian government and Anthropic sign MOU for AI safety and research Mar 31, 2026 Today, Anthropic signed a Memorandum of Understanding with the Australian government to cooperate on AI safety research and support the goals of Australia’s National AI Plan. …
… A step forward on safety These intelligence gains do not come at the cost of safety. …
… We find that Opus 4.6 remains the strongest option for tasks that demand the deepest reasoning, such as codebase refactoring, coordinating multiple agents in a workflow, and problems where getting it just right is paramount. …
… A selection of our partners describe their experiences using Claude below: We were drawn to Anthropic's focus on AI safety and Claude's Constitutional AI approach to creating more helpful, harmless, and honest AI systems. …
… AI-native deal-making . PwC is reinventing how it executes deals end-to-end — diligence, value creation, integration — with agents working alongside deal teams. …
… Claude Opus 4.5 delivers measurable gains where it matters most : stronger results on our hardest evaluations and consistent performance through 30-minute autonomous coding sessions. Claude Opus 4.5 represents a breakthrough in self-improving AI agents . …
Policy Trustworthy agents in practice Apr 9, 2026 AI “agents” represent the latest major shift in how people and organizations are using AI. A couple of years ago, AI models were only broadly available as chatbots—simple question-and-answer machines. …
Announcements Anthropic acquires Stainless May 18, 2026 The frontier of AI is shifting from models that answer to agents that act—and agents are only as capable as the systems they can reach. …
… AI governance of AI: How effectively can we use AI to govern AI systems? What are areas of AI oversight where humans either have a comparative advantage or a legal or normative requirement to be 'in the loop'? Agent interactions: What kinds of norms emerge in how AI agents interact with one another? …