Good question. Until we understand how ‘mind’ arises out of neuronal activity, we have little hope of addressing the ‘Deux ex Machina’ scenario and recognizing consciousness in machines. Do you agree?
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I think we have a very rough understanding of the former now, and it is just one of the solutions for the latter.
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Reminds me of "Tao Te Ching: How to live in harmony with the way things are (A Thousand names for Joy) by
@ByronKatie https://stephenmitchellbooks.com/non-fiction/a-thousand-names-for-joy/ … & "Dispelling Wetiko - Awaken in the Dream" https://www.awakeninthedream.com/dispelling-wetiko/ … by Paul Levy cc@podrescu@mathijsfietst@pondswimmer#35c3 -
did u notice
@Plinz mentioned watching#SQUIRRELS 2b happy toward the end ?? will have to revisit this talk, was incredible ! ... and yet model seems detached from situations, + possibly compassion for minds + bodies caught in realtime-fleshy- material struggles - 1 more reply
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I really liked your gearbox analogy. I would love a whole video of you explaining functions, functionalism, and deep learning. This video was a great overview but it made me REALLY thirst for more of specific topics.
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I was wondering, in the gearbox analogy, how does the innards of the gearbox get decided, is it just random? Are we limited by what mathematical gears we have invented? Or can deep learning make up new mechanisms and gears?
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Thank you! That Talk was so good!
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"Where does he get theose wonderful t-shirts..."
Your 'patterns' are particular configurations of sensory transducers, right?Thanks. Twitter will use this to make your timeline better. UndoUndo
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Also stellt sich die Frage,wann sich die AI selbst trägt nich,weil sie es im Kulturbegriff schon tut?
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Awesome as always! Connected so many points and raised so many new questions for me!
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