The A.I. DailyAnthropic @AnthropicAI
In physics, an “impedance mismatch” occurs when two systems each work well but are poorly matched. In this Science Blog guest post, Harvard physicist Matthew Schwartz argues that something similar is happening with AI and science. LLMs are capable at many things, but working with them as you would with a human collaborator isn’t currently the best way to elicit their scientific strengths. To address this mismatch, Schwartz created a toolkit for exact calculations in quantitative science. Because similar calculations often emerge in very different areas of science, Claude found connections to ecology, population genetics, and a dozen other fields, and Schwartz worked with domain experts to steer it towards interesting questions. Read more about these projects here: https://t.co/UpgSwMCz7h
Read original ↗- Replit ends Anthropic partnership, CEO cites cost and performance
- Anthropic quietly pitches its own AI safety bill to lawmakers
- Claude Code team shares AI-driven code review workflow
- llama.cpp runs GGUF models natively on jailbroken PS5
- Claude designs more efficient quantum circuits, beating published ones