
Dwarkesh Patel
Deeply researched interviews
Episodes


Lee Kuan Yew’s 3 key decisions that made Singapore rich – Tony Blair

Tony Blair — Why political leaders keep failing at major change
Effective political leadership requires a fundamental transition from the role of a campaigner to that of a chief executive capable of overcoming bureaucratic inertia. Governance often fails when leaders confuse general ambitions with concrete policies or succumb to the "conspiracy of distraction" inherent in political...

Government is a conspiracy of distraction – Tony Blair

If an LLM solves this then we'll probably have AGI – Francois Chollet

Scaling laws are explained by memorization and not intelligence – Francois Chollet

Francois Chollet — Why the biggest AI models can't solve simple puzzles

AI Labs are extremely vulnerable to espionage – Leopold Aschenbrenner

Don’t Outsource the AGI Cluster to Middle East Dictatorships – Leopold Aschenbrenner

How the US-China AI Race Will Play Out – Leopold Aschenbrenner

AI Nationalization is Inevitable – Leopold Aschenbrenner

Leopold Aschenbrenner — 2027 AGI, China/US super-intelligence race, & the return of history
In this interview, Leopold Aschenbrenner discusses the future of AI, focusing on the potential for a trillion-dollar AI cluster by 2030 and the implications of achieving AGI. He emphasizes the importance of algorithmic progress, the challenges of the data wall, and the potential for an intelligence explosion. Aschenbre...

The inside story of how ChatGPT was built – OpenAI cofounder John Schulman
This podcast episode explores the development of ChatGPT, a conversational chat assistant built on top of the GPT models. The project initially focused on instruction following models, but the team realized the significance of conversations in question answering and decided to build a conversational chat assistant. The...

Why GPT-4 is much smarter than it was a year ago – OpenAI cofounder John Schulman

John Schulman (OpenAI Cofounder) — Reasoning, RLHF, & plan for 2027 AGI
This podcast episode explores the concept of pre-training and post-training in AI models, discussing their potential for handling complex tasks, reaching human-level interactions, and acting as colleagues. It emphasizes the importance of coordination, safety, and further training in the development of advanced AI syste...

2025 models will be more like coworkers than search engines – OpenAI cofounder John Schulman

LLMs will hit the data wall if they can’t generalize – OpenAI cofounder John Schulman

AI will bring pocket nukes but is still net positive – Tyler Cowen

Japan had no military. But didn’t surrender – Richard Rhodes

Robert Oppenheimer's Worst Enemy – Richard Rhodes
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