Terence Tao Warns AI Automated Problem-Solving Harms Open Science in Mathematics
Fields Medalist Terence Tao warned that rapid AI-driven problem solving is depleting open mathematical problems, potentially forcing researchers to stop sharing early ideas publicly. This trend threatens to reverse centuries-old traditions of open science in mathematics, replacing open discussion with secrecy to prevent automated AI systems from scooping human breakthroughs. Tao noted that even rumors of someone working on a problem can trigger massive AI-powered efforts to flatten it before the original research project has time to reach its full potential.
## BACKGROUND
Mathematics has long relied on open science, where researchers freely publish conjectures, partial progress, and open problems to foster community collaboration. With the recent rise of advanced AI models capable of formal reasoning and automated problem solving, large-scale computational effort can quickly resolve public problems once pointed in the right direction.