RT

Reinforcement-learning token budgets

Topic

Expert statements

1

What experts have said about Reinforcement-learning token budgets

1 statement · 1 neutral

  1. Reiner PopeNeutralApr 29, 2026· Dwarkesh Podcast

    RL should use fewer tokens than pretraining to equalize wall-clock compute time.

    “if you're trying to equalize the RL and pre training time, then you should have fewer tokens in order to have the same wall time”

    Listen at 1:28:31

    Open the episode · Reiner Pope – The math behind how LLMs are trained and served

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

Reinforcement-learning token budgets · PodLume