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AI reward circuits and parallels with biology

One post calls biological parallels overhyped and argues that reward circuitry is unsurprising in a large neural network trained for general tasks.

2 Sources, 20d ago, first seen 20d ago

TLDR

A post describes AI reward circuitry as “incredibly obvious convergent evolution,” arguing that some reward circuit is to be expected in a giant, dense neural network trained for general tasks. It calls the comparison with biology overhyped, but stresses that this does not imply the pace of AI development is safe.

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2 Sources, first seen 20d ago

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2 Sources, first seen 20d ago

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2 Sources

David Manheim ✈️ #AIES2026 (Malmo, Sweden)@davidmanheimThis is both overly hyped as parallel to biology, and also incredibly obvious convergent evolution. Of course there is some reward circuit inside of a giant dense neural network that has been trained to do general tasks. (This does not imply the pace of AI development is safe.)20d
Aran Nayebi@aran_nayebiRT @davidmanheim: This is both overly hyped as parallel to biology, and also incredibly obvious convergent evolution. Of course there is so…20d
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    2 Sources

    David Manheim ✈️ #AIES2026 (Malmo, Sweden)@davidmanheimThis is both overly hyped as parallel to biology, and also incredibly obvious convergent evolution. Of course there is some reward circuit inside of a giant dense neural network that has been trained to do general tasks. (This does not imply the pace of AI development is safe.)20d
    Aran Nayebi@aran_nayebiRT @davidmanheim: This is both overly hyped as parallel to biology, and also incredibly obvious convergent evolution. Of course there is so…20d
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