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:
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In addition to concerns about personal consent, the device has prompted worries about a fast-growing web of surveillance and facial recognition tech, which Meta has previously come under fire for. The company later said it was moving ahead with live AI features, including potential facial recognition, in 2025 — with the upgrade, a device "always keep its cameras and sensors turned on and use AI to remember what its wearer encountered throughout a day." Privacy advocates also warn the technology could one day be harnessed by third parties, including the federal government's own militarized police forces.