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    JEPA-TTT proposes persistent test-time training for latent world models

    The announcement says pretrained models’ predictions can become unreliable when test-time dynamics differ from training.

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    TLDR

    A post introducing JEPA-TTT says it enables persistent test-time training of latent world models for planning under dynamics shifts. It says pretrained models’ predictions can become unreliable when test-time dynamics differ from training, and links to a project page and paper.

    Combined views

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    2 Sources, first seen 5h ago

    Combined views

    4K

    2 Sources, first seen 5h ago

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    5h ago
    first seen 5h ago
    30 likes
    5 comments
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    14 reposts

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    5 comments
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    14 reposts

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    2 Sources

    @zheyuanzhang99A pretrained latent world model's predictions can become unreliable when test-time dynamics differ from training. Introducing JEPA-TTT, which enables persistent test-time training of latent world models for planning under dynamics shifts. Project Page: https://jepa-ttt.github.io/ Paper: https://arxiv.org/abs/2610.007225h
    @DanielKhashabiRT @zheyuanzhang99: A pretrained latent world model's predictions can become unreliable when test-time dynamics differ from training. Intr…5h

    2 Sources

    @zheyuanzhang99A pretrained latent world model's predictions can become unreliable when test-time dynamics differ from training. Introducing JEPA-TTT, which enables persistent test-time training of latent world models for planning under dynamics shifts. Project Page: https://jepa-ttt.github.io/ Paper: https://arxiv.org/abs/2610.007225h
    @DanielKhashabiRT @zheyuanzhang99: A pretrained latent world model's predictions can become unreliable when test-time dynamics differ from training. Intr…5h