Markus Buehler frames AI discovery as a verified regime shift
The arXiv preprint uses category theory and materials-science examples to define discovery as auditable schema change, not search inside a fixed problem space.
By Ryan Merket · Published
Primary source: X
Why it matters
AI-for-science work is moving from tool use toward systems that can audit their own search process. If Buehler's framing holds up, the next contest is not only which model finds answers, but which system can prove how its search space changed.
Markus J. Buehler (@ProfBuehlerMIT) said in a thread on X Friday that his team has built a formal account of AI-driven scientific discovery, with the paper posted to arXiv.…
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