Dwarkesh Podcast

Mark Zuckerberg on: - Llama 3 - open sourcing towards AGI - custom silicon, synthetic data, & energy constraints on scaling - Caesar Augustus, intelligence explosion, bioweapons, $10b models, & much more Enjoy! Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. Human edited transcript w

Had so much fun chatting with my good friends Trenton Bricken and Sholto Douglas on the podcast. No way to summarize it, except:  This is the best context dump out there on how LLMs are trained, what capabilities they're likely to soon have, and what exactly is going on inside them. You would be shocked how much of wha

Here is my episode with Demis Hassabis, CEO of Google DeepMind We discuss: * Why scaling is an artform * Adding search, planning, & AlphaZero type training atop LLMs * Making sure rogue nations can't steal weights * The right way to align superhuman AIs and do an intelligence explosion Watch on YouTube. Listen on Apple

We discuss: * what it takes to process $1 trillion/year * how to build multi-decade APIs, companies, and relationships * what's next for Stripe (increasing the GDP of the internet is quite an open ended prompt, and the Collison brothers are just getting started). Plus the amazing stuff they're doing at Arc Institute, t

It was a great pleasure speaking with Tyler Cowen for the 3rd time. We discussed GOAT: Who is the Greatest Economist of all Time and Why Does it Matter?, especially in the context of how the insights of Hayek, Keynes, Smith, and other great economists help us make sense of AI, growth, animal spirits, prediction markets

This is a narration of my blog post, Lessons from The Years of Lyndon Johnson by Robert Caro. You read the full post here: https://www.dwarkeshpatel.com/p/lyndon-johnson Listen on Apple Podcasts, Spotify, or any other podcast platform. Follow me on Twitter for updates on future posts and episodes. Get full access to Dw