Episode

Next-Token Predictor Is An AI's Job, Not Its Species

Podcast
Astral Codex Ten Podcast
Published
Apr 2, 2026
Duration seconds
974
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not_requested
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https://sscpodcast.libsyn.com/next-token-predictor-is-an-ais-job-not-its-species
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https://traffic.libsyn.com/secure/sscpodcast/Next-Token_Predictor_Is_An_AIs_Job_Not_Its_Species.mp3?dest-id=586545
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/v1/public/podcasts/astral-codex-ten-podcast-226483/episodes/next-token-predictor-is-an-ai-s-job-not-its-species
Markdown
/podcast/astral-codex-ten-podcast-226483/next-token-predictor-is-an-ai-s-job-not-its-species.md

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Summary

I. In The Argument, Kelsey Piper gives a good description of the ways that AIs are more than just "next-token predictors" or "stochastic parrots" - for example, they also use fine-tuning and RLHF. But commenters, while appreciating the subtleties she introduces, object that they're still just extra layers on top of a machine that basically runs on next-token prediction. I want to approach this from a different direction. I think overemphasizing next-token prediction is a confusion of levels. On the levels where AI is a next-token predictor, you are also a next-token (technically: next-sense-datum) predictor. On the levels where you're not a next-token predictor, AI isn't one either.