The singularity has already begun for math: Scott Aaronson is one of the world's leading quantum computing researchers and spent two years at OpenAI working on AI safety. We talked about why he thinks the singularity has already begun for math, who gets credit when AI writes the proof, and whether intelligence will still matter once machines do the thinking. In this episode: • Why the singularity has already begun for math • Who gets credit when AI writes the proof • What a proof that P = NP would be worth • Why he turned down getting rich to keep blogging • Whether intelligence will still matter Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 Intro 00:34 Why he updated so hard on AI 01:14 The people still denying AI progress 03:53 The singularity has already begun for math 08:30 Will human-driven math research survive 13:12 Who gets credit for AI-written papers 15:55 OpenAI's $15M Navier-Stokes proof 19:20 What if AI proved P = NP 23:07 Why AI is so good at finding counterexamples 26:13 The goalposts keep moving 28:52 Why AI disclosure matters in research 32:59 The fake Monet experiment 35:23 Why he blogs instead of getting rich 39:45 Are AI labs racing too fast 42:01 Will intelligence still matter 47:12 Book recommendations 52:27 Advice for students today 57:23 Reacting live to a new AI result 59:58 Outro

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The Singularity needs new terms. chīkǔpilled adj. /chee-koo-pild/ Convinced that the path to AI supremacy is to eat bitterness long enough to learn the Bitter Lesson. China has a cultural concept, chī kǔ (吃苦): “eat bitterness.” Endure hardship now to prevail later. AI has Sutton’s Bitter Lesson: general methods that scale with computation eventually beat hand-crafted human ingenuity. Being Bitter-Lesson-pilled means believing that scale wins. Being chīkǔpilled means being willing to endure the cost, repetition, failure, and grind required to make scale win. Less cleverness, more compute. Less impatience, more iteration. Eat bitterness. Scale compute. Win later.