Meta’s AI boss says LLMs not enough: ‘Human level AI is not just around the corner’ – Cointelegraph

Large language models (LLMs) such as ChatGPT and Claude arent going to lead to human-level artificial intelligence (AI) any time soon. At least not according to Yann LeCun, Metas chief AI scientist.

LeCun recently spoke with Time Magazine to discuss artificial general intelligence (AGI), a nebulous term used to describe a theoretical AI system that is capable of performing any task given the right resources.

While theres no scientific consensus as to what an AI system would need to be capable of in order to be considered an AGI, LeCuns boss, Meta CEO and founder Mark Zuckerberg, recently made waves when he announced that Meta was pivoting to the development of AGI.

Weve come to this view that, in order to build the products that we want to build, we need to build for general intelligence, said Zuckerberg in a recent interview with The Verge.

LeCun appears to disagree with Zuckerberg, at least semantically. Speaking to Time, LeCun said that he hated the term AGI. He prefers to call it human-level AI, pointing out that humans arent general intelligences either.

On the topic of LLMs, a class of AI that includes Metas Llama-2, OpenAIs ChatGPT and Googles Gemini, LeCun believes that theyre not even close to a cats intelligence. This puts them nowhere close to human intelligence.

LeCun also waxed philosophical about the ongoing debate over whether open-source AI systems, such as Metas Llama-2, pose a threat to humanity.

He outright dismissed the idea that AI posed an outsized threat. When asked, what if a human, who has the urge to dominate, programs that goal into the AI? LeCun submitted that if such a bad AI existed, then youll have smarter, good AIs taking them down.

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Meta's AI boss says LLMs not enough: 'Human level AI is not just around the corner' - Cointelegraph