Terence Tao lecture slide sparks debate: explainability's value is generating new cures, not acceptance
soumitrashukla9 · x · 2026-10-11
A slide from Terence Tao's 'Math 2.0' public lecture at Caltech — arguing that a Stage 4 cancer patient wouldn't care whether humans understand a cure's mechanism if it works — sparked a debate on AI explainability. The key rebuttal: explainability isn't about treatment acceptance, but about helping us generate new treatments. Medicine has long used drugs we don't fully understand, yet germ theory's breakthrough unlocked wave after wave of new discoveries. The exchange touches on the core AI-for-Science question of whether superhuman model outputs need to be interpretable to drive scientific progress.
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