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:
Ultimately, I used gemini-3-flash for summarization, and seven models (gemini-3-pro, qwen-coder-plus, glm-5, glm-4.7, kimi-k2.5, doubao-seed-code, deepseek-v3.2) to generate seven sets of LLM-generated samples.
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这条消息很快就引发了轩然大波，OpenAI一瞬间变成了全网嘲讽的对象。
Credit: World of Wonder