PERSON DIRECTORY
Dwarkesh Patel
Host of Dwarkesh Podcast. Dwarkesh Patel appears in 66 indexed conversations across Dwarkesh Podcast, Hard Fork, The a16z Show. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
Jensen Huang – Will Nvidia’s moat persist?
Jensen argues TPU and ASIC growth is concentrated in Anthropic, while Nvidia’s broader programmable platform and supply-chain commitments preserve its reach and unit-TCO advantage.Groq expands Nvidia into premium low-latency inference, with Vera Rubin and Feynman targeting annual order-of-magnitude token-cost declines; China export controls remain an unresolved strategic risk after a direct security challenge.
Dario Amodei — “We are near the end of the exponential”
Amodei gives 90% odds of a “country of geniuses in a data center” within ten years, while Anthropic revenue reached $9-10B in 2025.RL shows log-linear scaling, but $1T annual compute commitments could be ruinous if demand arrives a year late.Anthropic is buying hundreds of billions, not trillions, as a differentiated three-to-four-player market develops, leaving margins and regulation to watch.
Satya Nadella – How Microsoft thinks about AGI
Satya NadellaDwarkesh PatelDylan Patel
Microsoft is deliberately trading maximum AI-hosting scale for flexibility, holding about 9.5GW after its pause while Oracle could surpass it by end-2027.GitHub Copilot’s share fell below 25% in a $5–6B run-rate market, while Agent HQ bundles rival agents and model economics remain disputed: Anthropic’s inference gross margin rose from below 40% to above 60%.
Satya Nadella — Microsoft’s AGI plan & quantum breakthrough
Hyperscalers should capture AI infrastructure value as agents multiply compute demand, while open source and enterprise buyers constrain single-model dominance.Microsoft’s $13B AI revenue is a spending governor amid expected overbuild and cheaper leased capacity in '27 and '28; Majorana One’s fault-tolerant timeline remains '27, '28, '29, while agentic SaaS faces legal and change-management risks.
Jeff Dean & Noam Shazeer — 25 years at Google: from PageRank to AGI
Dwarkesh PatelJeff DeanNoam Shazeer
Google’s AI veterans argue that inference-time compute, algorithmic progress and automated research could drive a major capability and infrastructure expansion, with top labs holding perhaps a million times Transformer-era training compute.Gemini already generates roughly 25% of characters checked into Google’s codebase, while trillion-token context, modular architectures and TPU-scale serving point to durable infrastructure advantages; the pace of self-improvement and safety remain unresolved.