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Podcast Notes

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Reiner Pope: Batch size dramatically impacts AI latency and cost, kv cache is key for autoregressive models, and efficient inference can save resources | Dwarkesh

Efficient batching in AI models can slash costs and boost performance by up to a thousand times.

APRIL 29, 2026 · By EDITORIAL TEAM

Jensen Huang: Nvidia’s role in transforming electrons to tokens, the exponential growth of AI agents, and overcoming semiconductor supply chain bottlenecks | Dwarkesh

Nvidia's strategic maneuvers in AI chip supply chains are reshaping the future of computing technology.

APRIL 15, 2026 · By EDITORIAL TEAM

Dylan Patel: Tech companies prioritize long-term capex for future infrastructure, Anthropic’s scaling challenges contrast with OpenAI’s aggressive strategy, and GPU depreciation cycles may exceed five years | Dwarkesh

AI labs face rising costs and strategic shifts as they compete for limited compute resources.

APRIL 10, 2026 · By EDITORIAL TEAM
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Michael Nielsen: The Michelson-Morley experiment aimed to test ether theories, Einstein’s special relativity developed independently, and the complexity of scientific progress defies central authority | Dwarkesh

Ada Palmer: The rise of Italian city republics reshaped governance, Petrarch’s critique of selfish leadership, and the transformative power of education in the Renaissance | Dwarkesh

Terence Tao: The shift to data-driven science, why verification is as crucial as creativity, and the challenges of AI in peer review | Dwarkesh