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[–] 0 points 1 year ago* (4 children)

Go learn simple regression analysis (not necessarily the commenter, but anyone). Then you'll understand why it's simply a prediction machine. It's guessing probabilities for what the next character or word is. It's guessing the average line, the likely followup. It's extrapolating from data.

This is why there will never be "sentient" machines. There is and always will be inherent programming and fancy ass business rules behind it all.

We simply set it to max churn on all data.

Also just the training of these models has already done the energy damage.

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  • [–] 6 points 1 year ago (2 children)

    It's extrapolating from data.

    AI is interpolating data. It's not great at extrapolation. That's why it struggles with things outside its training set.

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  • [–] -1 points 1 year ago (1 child)

    I'd still call it extrapolation, it creates new stuff, based on previous data. Is it novel (like science) and creative? Nah, but it's new. Otherwise I couldn't give it simple stuff and let it extend it.

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  • We are using the word extend in different ways.

    It's like statistics. If you have extreme data points A and B then the algorithm is great at generating new values between known data. Ask it for new values outside of {A,B}, to extend into the unknown, and it falls over (usually). True in both traditional statistics and machine learning

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