Dwarkesh Patel — Dwarkesh Podcast
About #
Hosts the Dwarkesh Podcast, a long-form interview show featuring deeply researched conversations with frontier AI researchers, lab leaders, scientists, and historians. Known for unusually well-prepared, technically substantive interviews that probe AI capabilities, timelines, and scientific/historical topics. Named one of TIME’s 2024 most influential figures in AI.
How this journal works #
Checked every 10 days: each new post or episode in Dwarkesh Patel’s own feeds (podcast) becomes one entry, dated by publication and summarised in a few bullets.
Entries
- Si Sheppard – How did a few hundred Spanish soldiers topple two empires?
- Noam Brown – Agent swarms, alignment, & recursive self-improvement
- AI researchers debate how close we are to recursive self-improvement
- Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face
- The rise and fall of agent civilizations
- Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028
- Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
- Why smarter AI models could drive up compute prices 10x
- Adam Brown – A deep but accessible introduction to general relativity
- Grant Sanderson – AI and the future of math
- The next big breakthrough will be AIs learning on the job
- The data black hole at the center of AI
- Ada Palmer – Machiavelli is the most misunderstood thinker of all time