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ForHackernewstoday at 11:30 AM2 repliesview on HN

https://medium.com/state-of-the-art-technology/world-models-...

> One major critique LeCun raises is that LLMs operate only in the realm of language, which is a simple, discrete space compared to the continuous, complex physical world we live in. LLMs can solve math problems or answer trivia because such tasks reduce to pattern completion on text, but they lack any meaningful grounding in physical reality. LeCun points out a striking paradox: we now have language models that can pass the bar exam, solve equations, and compute integrals, yet “where is our domestic robot? Where is a robot that’s as good as a cat in the physical world?” Even a house cat effortlessly navigates the 3D world and manipulates objects — abilities that current AI notably lacks. As LeCun observes, “We don’t think the tasks that a cat can accomplish are smart, but in fact, they are.”


Replies

energy123today at 11:46 AM

But they don't only operate on language? They operate on token sequences, which can be images, coordinates, time, language, etc.

show 2 replies
mrguyoramatoday at 5:27 PM

>We don’t think the tasks that a cat can accomplish are smart, but in fact, they are.

https://en.wikipedia.org/wiki/Moravec%27s_paradox

All the things we look at as "Smart" seem to be the things we struggle with, not what is objectively difficult, if that can even be defined.