analiza aiqbench

Terence Tao's observation highlights a critical shift where AI agents are rapidly consuming the frontier of mathematical problems, potentially creating scarcity that threatens the traditional model of open scientific collaboration. This dynamic suggests that the incentive structure for researchers may soon favor secrecy over sharing promising directions to prevent premature flattening by automated systems. The long-term viability of fields like mathematics and theoretical computer science now depends on how the community adapts to this new reality where AI acts as both a powerful accelerator and a disruptive force against open inquiry.