スズキ・鈴木俊宏社長「社員の主体性引き出す組織づくりとは」
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For the web version’s accuracy, I tested different feature limits. I prioritized performance and kept 500k features—stored as JSON, it’s 107MB (though gzip on server reduces it to ~38MB). I tried smaller versions (50k, 80k)—accuracy only dropped 3–4%, but final AI detection rates varied significantly, especially for human texts, with relative errors up to ±50%, leading to false positives. So I stuck with 500k.。业内人士推荐币安_币安注册_币安下载作为进阶阅读
At the Lean FRO, Kim Morrison, a Senior Research Software Engineer, recently ran an experiment that went well beyond our expectations. An AI agent converted zlib, a widely used C compression library embedded in countless systems, to Lean, with minimal human guidance. No special tooling was built. It was Claude, a general-purpose AI, with no special training for theorem proving, out of the box. The workflow had four steps. First, the AI produced a clean, readable Lean implementation of the zlib compression format, including the DEFLATE algorithm at its core. Second, the Lean version passed the library’s existing test suite, confirming behavioral equivalence. Third, key properties were stated and proved, not as tests, but as mathematical theorems. The capstone theorem: