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Lucas Beyer praises figure separating base model gains from post-training gains

1 article1 sourcesince Oct 12Last article 2h ago ·

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Lucas Beyer says a plot comparing final-model performance on non-post-trained tasks with performance on post-trained tasks shows improvement in the base model.

In an X post, he calls the figure evidence of a non-benchmaxxing approach and a big-model effect. The post quotes Muse Wonder, a new frontier model family from finkd for personal and professional agentic work. The report does not include the plot's data or any independent check of Beyer's reading.

Written by AI from the articles below · updated Oct 12, 2:48 PM ET

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Oct 12
  1. Lucas Beyer (bl16)X
    Lucas Beyer praises figure separating base model gains from post-training gains

    AILucas Beyer says a plot comparing final-model performance on non-post-trained tasks with performance on post-trained tasks shows base model improvement. He calls it evidence of a non-benchmaxxing approach and a big-model effect. The post quotes Muse Wonder, a new frontier model family from finkd for personal and professional agentic work.

    Image from @giffmana's post

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