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Lex Fridman, Sebastian Raschka and Nathan Lambert unpack 2025–26 AI: scaling laws, RLVR vs RLHF, tool use, open vs closed models, Chinese LLMs, data quality, burnout culture, and how post-training fuels “reasoning” models like o1 and DeepSeek.