PERSON DIRECTORY
Nathan Lambert
Nathan Lambert appears in 4 indexed conversations across Latent Space, Lex Fridman Podcast. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
Lex FridmanNathan LambertSebastian Raschka
The 2026 AI race is becoming plural, with ideas spreading across DeepSeek, Qwen, Kimi, MiniMax, Z.ai, Google, OpenAI and Anthropic while compute, hardware access, culture and distribution determine advantage.Scaling laws now span pre-training, post-training and inference, making coding the clearest monetization wedge and open weights strategic infrastructure; gigawatt-scale Blackwell clusters could support longer RL runs and premium inference, but data rights, benchmark contamination and serving economics remain risks.
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.