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    A user mocks a possible face-saving argument for LeCun on LLMs

    The sarcastic suggestion is that LeCun could argue “these things are no longer autoregressive LLMs”—a distinction the user portrays as an excuse.

    SZ
    T(
    6 Sources, 17d ago, first seen 17d ago

    TLDR

    One user suggests LeCun’s “best face save” would be to argue that the systems in question are no longer autoregressive large language models. The post mocks a hypothetical justification: treating credit assignment in large-scale reinforcement learning as analogous to energy-based learning.

    Combined views

    112.8K

    6 Sources, first seen 17d ago

    Combined views

    112.8K

    6 Sources, first seen 17d ago

    1.2K likes
    1.2K likes
    59 comments
    248 saves
    29 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    59 comments
    248 saves
    29 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    Today's Rank

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    6 Sources

    @teortaxesTexHonestly, the best face save for LeCun is to argue that these things are no longer autoregressive LLMs for some (bullshit reason like credit assignment in massive RL being dialectically analogous to energy-based learning)
    @suchenzangtbf this is the biggest contribution ylc made to the current era of LLMs not bad!

    6 Sources

    @teortaxesTexHonestly, the best face save for LeCun is to argue that these things are no longer autoregressive LLMs for some (bullshit reason like credit assignment in massive RL being dialectically analogous to energy-based learning)
    @suchenzangtbf this is the biggest contribution ylc made to the current era of LLMs not bad!