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Post-training is the best place to work in AI right now, because cheap runs mean a far higher share of your experiments can be all-or-nothing bets.

Drawn from what Nathan Lambert said

Subjectscaling laws
What this subject means

scaling laws Whether more compute keeps buying more capability, and where the curve now bends -- pre-training, post-training, test-time.

What Nathan Lambert actually said

  1. Nathan Lambert Machine-learning researcher on open language models
    This is why you want to work in post-training because the GPU cost for training is lower. So you can make a higher percentage of your training runs YOLO runs.

    Where this was said

    Watch from 0:49:00 plays here

    ↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com

    3 Feb 2025 · video · 5h 06m · spoken · official transcript

    All 44 korrents from this recordingthis one is 3rd

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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