Scott Aaronson, theoretical computer scientist at UT Austin, discusses OpenAI’s massive surprise drop solving 370 open math problems, including the quasi-Riemann hypothesis and new fast multiplication bounds. He addresses the crisis facing mathematical research, student fears over AI alignment, and recent empirical hacking behavior. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.

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Timestamps:

(00:00) Introduction

(01:05) Is Anything New Happening In Math?

(04:26) What Are AI's Risks To Mathematics?

(14:14) What Are AI's Most Impressive Breakthroughs?

(21:36) What Is Your AI Alignment Course?

(26:33) What Skills Are Most Useful Future?

(34:00) How Do You Personally Use AI?

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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.

The Riemann Hypothesis Progress Changes Everything | Scott Aaronson

MTS

The Riemann Hypothesis Progress Changes Everything | Scott Aaronson