Dwarkesh Podcast
Episodes
Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028
Dwarkesh Patel interviews Dylan Patel of Semi Analysis on the rapid centralization of AI compute, where labs like OpenAI and Anthropic are capturing most new capacity.
Ryan Greenblatt – Human level AIs might build runaway superintelligences by 2032
Dwarkesh Patel interviews Ryan Greenblatt, Chief Scientist at Redwood Research, about the plausibility of recursive self-improvement leading to Artificial Superintelligence.
8 Predictions for the Era of Continual Learning
Dwarkesh Patel argues that AI requires continual learning to accumulate experience, challenging current static training models.
Why smarter AI models could drive up compute prices 10x
Dwarkesh analyzes the divergence between AI labs' 10x revenue growth and only 3x compute scaling, attributing it to rising margins and compute prices.
Adam Brown – A deep but accessible introduction to general relativity
Grant Sanderson – AI and the future of math
Dwarkesh Patel interviews Grant Sanderson about AI’s rapid progress in mathematics, using it as a lens for understanding broader AI capabilities.
The next big breakthrough will be AIs learning on the job
Dwarkesh Patel analyzes the industry bet that scaling RLVR on verifiable tasks will yield AGI, contrasting this with the slow progress in complex domains like computer use.