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Lex Fridman Podcast
Long-form conversations with researchers, founders, scientists, and public figures across AI, technology, science, philosophy, and geopolitics.
BIDCLUB DESCRIPTION
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494
NVIDIA’s competitive unit has expanded from the GPU to the entire AI factory, co-designing computation, models, data, networking, memory, power, and cooling around modern workloads.CUDA’s ubiquitous install base remains the foundational moat, while four compute-driven scaling laws and falling token costs support demand for increasingly specialized infrastructure.Six-month model cycles versus three-year hardware cycles, plus power and supply-chain constraints, remain key execution risks as Huang describes a potentially much larger computing economy.
DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459
Lex FridmanDylan PatelNathan Lambert
DeepSeek’s V3 and R1 reset the AI cost curve through reinforcement learning, open weights, mixture-of-experts routing, and MLA, not a mythical $5 million frontier model.With roughly 37 billion of 600-plus billion parameters active per token and custom H800 scheduling, efficiency may expand inference demand, while export controls, TSMC, power, and cooling remain decisive constraints.

