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    Chris Potts Speaks on Interpretability at IPAM UCLA

    Stanford NLP highlights Christopher Potts presentation on key AI topics.

    CP
    1 Source, 25d ago, first seen 25d ago

    TLDR

    Stanford NLP posted that Christopher Potts addressed interpretability, representations, data, and subliminal learning at IPAM UCLA. Potts, identified as Stanford Professor and Chair of Linguistics by courtesy in Computer Science plus member of the Stanford NLP and AI Lab, retweeted the announcement. The post frames the event as a focused discussion within academic NLP circles. Visible replies and further details on the talk content or audience response are not included in the source lines.

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    1 Source, first seen 25d ago

    Combined views

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    1 Source, first seen 25d ago

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    1 Source

    @ChrisGPottsRT @stanfordnlp: .@ChrisGPotts on interpretability, representations, data, and subliminal learning at @ipam_ucla

    1 Source

    @ChrisGPottsRT @stanfordnlp: .@ChrisGPotts on interpretability, representations, data, and subliminal learning at @ipam_ucla