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    Tiny models and recursive reasoning in a new episode of The Information Bottleneck

    An episode announcement highlights a Microsoft principal researcher's reported result of roughly 45% on ARC-AGI with a fraction of the parameters.

    RS
    1 Source, 15d ago, first seen 15d ago

    TLDR

    The announcement introduces a conversation with a Microsoft principal researcher who authored “Less is More: Recursive Reasoning with Tiny Networks.” It describes a discussion of efficiency, tiny models and her roughly 45% result on ARC-AGI with a fraction of the parameters. Other advertised topics include why language models struggle with molecules, why puzzles suit recursion and what the guest would do with a trillion dollars.

    Combined views

    777

    1 Source, first seen 15d ago

    Combined views

    777

    1 Source, first seen 15d ago

    7 likes
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    1 Source

    @ziv_ravidNew episode on The Information Bottleneck with @jm_alexia , Principal Researcher at Microsoft and author of Less is More: Recursive Reasoning with Tiny Networks. We talked about efficiency, tiny models, and how she got ~45% on ARC-AGI with a fraction of the parameters. We also get into why LLMs are bad at molecules, why puzzles suit recursion, and what she'd do with a trillion dollars. You can find it on the website, Youtube and the apps. Love to hear your comments!

    1 Source

    @ziv_ravidNew episode on The Information Bottleneck with @jm_alexia , Principal Researcher at Microsoft and author of Less is More: Recursive Reasoning with Tiny Networks. We talked about efficiency, tiny models, and how she got ~45% on ARC-AGI with a fraction of the parameters. We also get into why LLMs are bad at molecules, why puzzles suit recursion, and what she'd do with a trillion dollars. You can find it on the website, Youtube and the apps. Love to hear your comments!