Evidence receipt / observation
Published · transcript-backedAndrew Dudzik: observation
22 Dec 2025 Machine Learning Street Talk Making deep learning perform real algorithms with Category Theory (Andrew Dudzik, Petar Velichkovich, Taco Cohen, Bruno Gavranović, Paul Lessard)
“So if you ask chat GPT, what is a bunch of eights plus a bunch of ones with a 2 at the end? It will get the correct answer because it will recognize the trick.”
Source trail
Everything needed to verify it.
- Speaker
- Andrew Dudzik
- Attribution
- Verified speaker
- Claim type
- observation
- Recorded
- 22 Dec 2025
- Publisher
- Machine Learning Street Talk
Transcript context
…Language models cannot do addition. Not really. I keep seeing claims that they can and every time I see this claim I go again to ChatGPT and so on and check and they can't. And, what they can do is learn patterns which work a lot of the time but you can always trip them up by doing something like, okay. So if you ask chat GPT, what is a bunch of eights plus a bunch of ones with a 2 at the end? It will get the correct answer because it will recognize the trick. It'll say, ah, that's just 1 and a bunch of zeros. It'll know that you're trying to trick it. But if now you change 1 of the eights to a 7, now it has to actually know what it's doing. It has to actually sort of walk up, hit the 7, and stop sort of propagating zeros, and it simply fails. It, it either chokes and makes up some nonsense, or it says it's 1 with a bunch of zeros anyway. Like, it definitely can't add in the in the the basic way that that we know how to do algorithmically that humans learn. And so, like, really teasing apart on a very basic level, like Newton's 3 laws of motion, has it encapsulated it, Whether that's Vio or Genie, have these models encapsulated the physics of that a 100% accurately? And right now, they're not. They're kind of approximations, and they look realistic when you just casually look at them. They're not accurate enough yet to rely on, for say, robotics.…
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