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    AI Professor Tweets We Are Stuck in Local Optimum

    UCL professor and Recursive co-founder posts grid collage of LLM diagrams with the statement.

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    4 Sources, 27d ago, first seen 27d ago

    TLDR

    Tim Rocktäschel, Professor of AI at UCL, PI of the DARK lab, and co-founder of Recursive, posted on X that We are stuck in a massive local optimum. The post includes an attached grid collage of labeled LLM architecture diagrams from models including GPT-2 XL, Llama 3 8B, OLMo 2 7B, Qwen3 8B, DeepSeek V3/R1, Kimi K2, Gemma 3 27B, Mistral 3.1, Grok 2.5, GLM-4.5, and others. The claim is presented as his assessment of current model development.

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    4 Sources, first seen 27d ago

    Combined views

    195.2K

    4 Sources, first seen 27d ago

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    62 comments
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    300 reposts

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    62 comments
    1.8K saves
    300 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    4 Sources

    @_rocktWe are stuck in a massive local optimum.
    @sirbayesImage from a previous era of local optima (covering nearly all models used in statistics and ML at the time!) (Based on @ZoubinGhahrama1) https://www.cs.ubc.ca/~murphyk/Bayes/bayes.26may00.html
    @ZoubinGhahrama1@sirbayes There was more diversity in the previous local optimum.
    @AdaptiveAgentsRT @sirbayes: Image from a previous era of local optima (covering nearly all models used in statistics and ML at the time!) (Based on @Zou…

    4 Sources

    @_rocktWe are stuck in a massive local optimum.
    @sirbayesImage from a previous era of local optima (covering nearly all models used in statistics and ML at the time!) (Based on @ZoubinGhahrama1) https://www.cs.ubc.ca/~murphyk/Bayes/bayes.26may00.html
    @ZoubinGhahrama1@sirbayes There was more diversity in the previous local optimum.
    @AdaptiveAgentsRT @sirbayes: Image from a previous era of local optima (covering nearly all models used in statistics and ML at the time!) (Based on @Zou…