this post was submitted on 21 Sep 2024
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I think the real differentiation is understanding. AI still has no understanding of the concepts it knows. If I show a human a few dogs they will likely be able to pick out any other dog with 100% accuracy after understanding what a dog is. With AI it's still just stasticial models that can easily be fooled.
I disagree here. Dogs breeds are so diverse, there's no way you could show some pictures of a few dogs and they'd be able to pick other dogs, but also rule out other dog like creatures. Especially not with 100 percent accuracy.
for example, wolves, hyenas, and african wild dogs certainly won't ever reach 100% consensus on dog-or-not within human groups
Sorry, really.
Hyenas aren't closely related to dogs.
You better be sorry, I was not ready to learn about it.
Thanks though...
I'd have to hand in my Canadian Passport if I weren't, buddy.
Just goes to show, though, that even we can be fooled by things that look really similar.
It's certainly progressing. I was shopping for bunk beds recently and one listing was missing a measurement in the diagram. So I put a red line in and asked ChatGPT for the dimension, just giving it the photo and asking how long the red line is. Not only did it take the existing measurements from the photo and applied the necessary trigonometry to calculate what I wanted, it also correctly identified it as a bunk bed, and that there is a slide attached to it - I was looking for how far the slide will stick out into the room.
This is entirely presumptive, we simply do not and cannot know how much they understand, this all boils down to if it looks like a duck and quacks like a duck is it a duck?
we do, and anybody telling you "it's complicated" has an agenda.
That would be true if the world is hollow.
But we know it is not.