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A published training-run cost always understates the truth, because any notable model takes two to four times that run's compute in experiments alone.
Drawn from what Nathan Lambert said
SubjectLLMs
What Nathan Lambert actually said
- Nathan Lambert Machine-learning researcher on open language models
Accepted practice is that for any given model that is a notable advancement, you're going to do two to 4x compute of the full training run in experiments alone.
Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us
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