"They are not a path to human-level intelligence. They're just not. Right now, they are sucking the air out of the room anywhere they go - and so there's basically no resources [left] for anything else. And so for the next revolution, we need to take a step back and figure out what's missing from the current approaches."
""LLMs are great, they're useful, we should invest in them - a lot of people are going to use them," said Yann LeCun, who's still an AI researcher at Meta for the moment, speaking at an event in Brooklyn Sunday night."
"LeCun has been a consistent critic of LLMs for years, arguing that real computer intelligence won't come from language models that hoover up text from the internet. He thinks breakthrough AI will come from "world models," which rely on visual data instead."
Major tech companies are investing heavily in large language models (LLMs) such as ChatGPT, Gemini, and Llama. Yann LeCun views LLMs as useful tools but asserts they cannot produce human-level intelligence and are diverting resources from alternative approaches. LeCun advocates for world models that learn from visual data as a more promising path to breakthroughs. Meta's recent multibillion-dollar investment in LLM talent contrasts with LeCun's approach and has intensified speculation about his future at the company. Reports indicate he may leave Meta to launch an independent AI startup focused on different methods.
Read at Business Insider
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