https://www.wsj.com/tech/ai/yann-lecun-ai-meta-0058b13c?gaa_at=eafs&gaa_n=AWEtsqepWc-uIbbtEU-VjQIIMqbYykI6pS5bEAASL-_HgnE-ManIKlHZlWRKa3al79k%3D&gaa_ts=691a7b61&gaa_sig=CKqJL6gkWJdu3O5Dod8XYeXcRnsjhmbLoCI_O_JoWe5L9ev2qxBCku-YerNn4tn2tSWWjWsMGhtBg73it413sw%3D%3D
He’s Been Right About AI for 40 Years. Now He Thinks Everyone Is Wrong.
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"Meta Chief Executive Mark Zuckerberg has been pouring countless billions into the pursuit of what he calls “superintelligence,” hiring an army of top researchers tasked with developing its large language model, Llama, into something that can outperform ChatGPT and Google’s Gemini.
LeCun, by his choice, has taken a different direction. He has been telling anyone who asks that he thinks large language models, or LLMs, are a dead end in the pursuit of computers that can truly outthink humans. He’s fond of comparing the current state-of-the-art models to the mind of a cat—and he believes the cat to be smarter. Several years ago, he stepped back from managing his AI division at Meta, called FAIR, in favor of a role as an individual contributor doing long-term research.
“I’ve been not making friends in various corners of Silicon Valley, including at Meta, saying that within three to five years, this [world models, not LLMs] will be the dominant model for AI architectures, and nobody in their right mind would use LLMs of the type that we have today,” the 65-year-old said last month at a symposium at the Massachusetts Institute of Technology.
LeCun has been talking to associates about creating a startup focused on world models, recruiting colleagues and speaking to investors, The Wall Street Journal previously reported. A world model learns about the world around it by taking in visual information, much like a baby animal or young child does, versus LLMs, which are predictive models based on vast databases of text."
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