analiza aiqbench

Terence Tao's observation that AI can now rigorously verify proofs up to 100,000 lines highlights a critical bottleneck: the growing gap between automated verification and human comprehension. As proof-checking becomes trivialized for machines, the field must pivot toward ensuring results remain accessible and explainable to maintain their utility within the mathematical community. This shift underscores that future progress depends less on raw computational power and more on bridging the interpretability gap between AI-generated solutions and human understanding.