哈佛物理学家用 Claude 构建精确计算工具包
In physics, an “impedance mismatch” occurs when two systems each work well but are poorly matched.
哈佛物理学家 Matthew Schwartz 在 Anthropic Science Blog 客座文章中提出，LLM 虽能力广泛，但像对待人类合作者那样使用它们并非激发其科学优势的最佳方式。为此他创建了一套用于定量科学精确计算的工具包，Claude 借此发现了生态学、群体遗传学等十几个领域的关联，Schwartz 再与领域专家合作将方向引导至有价值的问题。
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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.