Amir Husain, coauthor of Hyperwar: Conflict and Competition in the AI Century, said that AI is being used to compress the U.S. military’s decision-making framework, known as the OODA loop—an acronym for observe, orient, decide, and act. He said AI is already playing a significant role in observation, or in interpreting satellite and electronic data, tactical-level decision-making, and the “act” phase, specifically through autonomous drones that must operate without human guidance when signals are jammed. Some of those drones are actually copycats of Iran’s own autonomous Shahed drones.
Last year, two in five Americans did not read a single book, and reading for pleasure has plummeted about 40% over the past two decades. Yet many of the world’s most successful people credit reading as central to their curiosity, critical thinking, and leadership. A JPMorgan survey released last year of more than 100 billionaires found that reading ranked as the top habit elite achieves have in common.
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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: