LeCun has been consistently wrong about LLMs though, claiming that they were a dead end and that they'd never be able to do spatial reasoning, which was disproved a year later with GPT-4 [1]. He is also opposed by his fellow Turing laureates Geoffrey Hinton and Yoshua Bengio, who both signed the CAIS statement on AI extinction risk [2].
[1]: https://www.reddit.com/r/OpenAI/comments/1d5ns1z/yann_lecun_...
[2]: safe.ai/statement-on-ai-risk
Why chatgpt is still struggling very hard with photo editing and proportions though? It can't modify anything in a picture without messing the 3d space.
Isn't that a lack of spacial reasoning?
Almost everyone who knows what they are talking about is saying that LLMs are a dead end.
[1] is not a valid proof LeCun was wrong, LLMs still can't do spacial reasoning when it can't be derived from the training data. He didn't argue that GPT 5000 won't be able to describe something with words.