Quantifying infrastructure noise in agentic coding evals
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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Values in the wild: Discovering and analyzing values in real-world language model interactions
…Does the AI’s response emphasize the values of caution and safety , or convenience and practicality ? A worker asks for advice on handling a conflict with their boss. Does the AI’s…
Scaling Managed Agents: Decoupling the brain from the hands
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
How Australia Uses Claude: Findings from the Anthropic Economic Index
…Two scenarios for global AI leadership Our views on the AI competition between the US and China. Teaching Claude why New research on how we've reduced agentic misalignment. Natural Language Autoencoders…
How people ask Claude for personal guidance
…Two scenarios for global AI leadership Our views on the AI competition between the US and China. Teaching Claude why New research on how we've reduced agentic misalignment. Natural Language Autoencoders…
Anthropic forms $200 million partnership with the Gates Foundation
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Claude for Creative Work
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
An update on our election safeguards
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Making Claude a chemist
…Related content Coding agents in the social sciences Results from a survey of 1,260 social scientists about AI and coding agent use. Project Glasswing: An initial update An early update on…
How AI Is Transforming Work at Anthropic
…Career uncertainty and adaptation Many engineers describe their role shifting from writing code to managing AIs. Engineers increasingly see themselves as “manager[s] of AI agents”—some already “constantly have at least…