Where this was said
Education Must Change: Questions Over Answers, the MIT Experiment
At 2:08:46 · chapter starts 2:03:20
The most practically actionable segment of the episode: a concrete experiment where an MIT Introduction to Biology instructor gave all students Perplexity, allowed it in exams, and redesigned assessments around posing questions that AI cannot yet answer. Srinivas argues this should be the model for all education — and that the core barrier is incentive structure. Schools currently reward students for having answers, a metric AI already surpasses on every dimension. Flip the incentive — reward questions, not answers — and you cultivate intellectual humility, scientific thinking, and genuine curiosity. Rogan connects this to being shut down as a kid for asking too many questions in school, and to his experience that the entire podcast is just that same kid finally being allowed to run free.
An MIT instructor gave Perplexity to every student in his Introduction to Biology class and redesigned exams around questions AI can't answer — turning every student into a scientist. Aravind Srinivas argues the entire educational incentive structure needs to flip: stop rewarding answers, start rewarding questions, because any answer AI can now provide is no longer a measure of intelligence.
