Been liking Alex O’Connor’s ChatGPT explanation videos and ChatGPT related experiments.
Alex O’Conner makes content related to philosophy and religion but I particularly enjoyed, in addition to this video, one where he gaslights ChatGPT using moral dilemmas.
In this video he tells you the reason why it is so hard to get ChatGPT to do this. Short Answer: most images you find of wine are either empty glasses or partially full because who fills their wine to the top?
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This video was nice and simple.
It really drives home the point that chat bots aren’t actually creative and, in simple terms, just spit out averages and probabilities.
Sounds like Francis Galtin’s Ox
“The classic wisdom-of-the-crowds finding involves point estimation of a continuous quantity. At a 1906 country fair in Plymouth, 800 people participated in a contest to estimate the weight of a slaughtered and dressed ox. Statistician Francis Galton observed that the median guess, 1207 pounds, was accurate within 1% of the true weight of 1198 pounds.This has contributed to the insight in cognitive science that a crowd’s individual judgments can be modeled as a probability distribution of responses with the median centered near the true value of the quantity to be estimated.”
And this is a prime example of why these trained models will never be AGIs. It only knows what it’s been trained on and can’t make inferences or extrapolations. It’s not really generating an image’s much as really quickly photoshopping and merging images it already knows about.
How sure are you that human brains don’t work in a similar way? Can you create something that you have never seen before without using known images you have in your head to create the result?
Well from a cognitive standpoint you’re absolutely correct, we aren’t a 100% sure how intelligence works or even how to properly define it. But I can absolutely think up things I’ve never seen before. And it’s easy to see how that’s possible. Look at any fantasy or science fiction art. That was all created without ever seeing it before because it doesn’t exist. In my opinion current AI completely lacks imagination. It only knows what it’s been trained on. And since people are pretty good with imagining things, we’ve created lots of art that doesn’t exist in real life and now the AI has been trained on this extensive art and is now pretty good at faking imagination.
I am by now means a cognitive specialist so I could be completely wrong.
