AI systems now prove research-level mathematical theorems, but access divides along commercial lines. Stanford's Ravi Vakil used private DeepMind tools for proofs he's unsure he could have developed alone, while public AI floods journals with low-quality submissions. Harmonic's $1.45B valuation prices formal verification as the new moat. Academic mathematicians migrate to private labs as the capability gap widens.

AI Cracked Research Math. Harmonic Priced It at $1.45B
Mathematicians spent a year watching AI move from IMO puzzles to genuine research proofs. Then Harmonic raised $120 million at a $1.45 billion valuation on the premise that formal verification is the moat. The useful tools went private. The academy got the slop.





