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"When billion-dollar AIs break down over puzzles a child can do
- chrisjj 1y ago...it’s time to rethink the hype"
- deleted 1y ago[deleted]
- Jtsummers 1y agohttps://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf https://ml-site.cdn-apple.com/papers/the-illusion-of-thinkin... - The paper itself (PDF)
- throwawayffffas 1y agoThey obviously cant do that. They are not trained to do that. But on the other hand, devstral:24b spit out a solution for the tower of hanoi in under a minute. def move_disk(start_peg, end_peg, disk): print(f"Moving disk {disk} from {start_peg} to {end_peg}") return disk def towers_of_hanoi(n, source, auxiliary, target, delay=0.5): if n == 1: move_disk(source, target, 1) return towers_of_hanoi(n-1, source, target, auxiliary, delay) move_disk(source, target, n) towers_of_hanoi(n-1, auxiliary, source, target, delay) if __name__ == "__main__": n = int(input("Enter the number of disks: ")) towers_of_hanoi(n, 'A', 'B', 'C') So it can actually solve it. But in the way it was trained to.
- chrisjj 1y ago> So it can actually solve it. By executing its code, you mean?
- josefresco 1y agoLet me get this straight: Apple is so far behind on AI they wrote an entire research paper to confirm what we all, already know: LLMs aren't smart, and are just really good guessing machines. I didn't need Apple to tell me this, or spend millions on a study to prove what I see everyday using AI. Am I missing something? Did this paper cause AI investors to flee...or just buy Apple some more time?
- chrisjj 1y ago> what we all, already know "Some are shocked by it, some are not."
- bigbuppo 1y agoWhen you have big investors that are screaming about why you aren't pivoting to video, err, AI, then you have to do something to prove to those idiots that you actually looked into it and don't want to spend tens of billions of dollars on something that doesn't do what it says on the tin.