Always so much fun to chat with @3blue1brown
AI has been making much faster progress in math than in other fields.
As a result, mathematics is showing us, very concretely, what AI progress in other fields will look like.
Even within mathematics, there's a jagged landscape. What does it look like?
What is the nature of the most important conceptual breakthroughs in the history of mathematics, and how different are they from what AIs are currently able to do?
Does AI (on net) increase or decrease human understanding of the field?
How big is the overhang from having AIs systematically try to connect ideas already in the literature?
And what advice does Grant have for aspiring mathematicians, coders, and other students who are passionate about fields that are being most transformed upon by AI?
0:00:00 – AI is discovering new proofs. Is that AGI?
0:11:32 – The verification loop on conceptual breakthroughs can be a century long
0:26:12 – Will we understand an AI proof of the Riemann hypothesis?
0:38:08 – Can AI find the hidden bridges between fields?
0:53:48 – Why real-world tasks don’t fit into RL environments
1:07:07 – Good writing requires theory of mind that AI still lacks
1:16:02 – Why learning will still depend on human curation
Look up Dwarkesh Podcast on Spotify, Apple Podcasts, YouTube, etc.
20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCu20 years of Messi ✨
#FIFAWorldCup
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
Been spending a lot of time thinking about consciousness, the brain, and what really makes us human and somewhere in that rabbit hole, it struck me that ourr ability to realize that our brains are not fundamentally special is precisely what makes us special