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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)BL
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2 yr. ago

  • I do it for a living and have given up being up to date on all the new shit going on. Billboard gets the W for now. LLMs cannot build houses in isolation.

    What everyone is missing is that they don't have to. The right LLM with the right question can output a meaningful "decision" or "judgment call". That's all you need. Ask the right series of questions. We'll call it "thinking". I really believe that well is pretty deep. Will it be the first version of "AI"? Maybe. Maybe not. But it's gonna be a big milestone that is going to soon fuck up everything.

    I can't wait :)

  • Yep. AutoGen + MemGPT (+Locally hosted models) https://youtu.be/VJ6bK81meu8?si=mGnvMTJsLn_vMvRb

    Basically, a small company of self-refining LLM prompts that output meaningful results + a robust memory management for more long-term back and forths. Instead of "one input, one output. Next"

    Another example: https://youtu.be/5Zj_zstLLP4?si=nHu4vHwidRmvuViY

    I can share more examples and papers if desired.

    On the robotics front, the focus is still on training custom models for given actions. Which is having some success: https://youtu.be/Jy3zjXK4ao4?si=yFdqnl8z9Z8Becsc

    https://youtu.be/WlIYa3lH5UI?si=FQSZAm44h3FuuCoR

    I'm convinced these "hivemind agents" will pass custom model training soon