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    Researchers Discuss LLMs and Shannon Text Redundancy

    AI researchers share posts on Shannon entropy and LLM text compression.

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    3 Sources, 35d ago, first seen 35d ago

    TLDR

    Ahmad Beirami retweeted a post by docmilanfar referencing Claude Shannon's estimate from over 75 years ago that English text is roughly 75 percent redundant. The post and a generated headline claim modern LLMs compress English below Shannon's one bit per character limit. Christian Szegedy quoted the same thread and stated that optimizing for language compression produced current AI capabilities. The packet records these public posts on X without independent confirmation of the compression results.

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    3 Sources, first seen 35d ago

    Combined views

    20.1K

    3 Sources, first seen 35d ago

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    11 comments
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    24 reposts
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    3 Sources

    @abeiramiRT @docmilanfar: Over 75 yrs ago, Shannon estimated that English is ~75% redundant. When you consider the long-range context of a phrase or…
    @ChrSzegedyIMO, the even more profound and surprising result is that optimizing for compression of language got us to the current level of AI.
    @pmddomingos@ChrSzegedy But it wasn’t.

    3 Sources

    @abeiramiRT @docmilanfar: Over 75 yrs ago, Shannon estimated that English is ~75% redundant. When you consider the long-range context of a phrase or…
    @ChrSzegedyIMO, the even more profound and surprising result is that optimizing for compression of language got us to the current level of AI.
    @pmddomingos@ChrSzegedy But it wasn’t.