"LeCun founded Meta's Fundamental AI Research lab, known as FAIR, in 2013 and has served as the company's chief AI scientist ever since. He is one of three researchers who won the 2018 Turing Award for pioneering work on deep learning and convolutional neural networks. After leaving Meta, LeCun will remain a professor at New York University, where he has taught since 2003."
"For example, in May 2024, when an OpenAI researcher discussed the need to control ultra-intelligent AI, LeCun responded on X by writing that before urgently figuring out how to control AI systems much smarter than humans, researchers need to have the beginning of a hint of a design for a system smarter than a house cat."
"Over the summer, Zuckerberg hired Alexandr Wang to lead a new superintelligence team at Meta, paying $14.3 billion to hire the 28-year-old founder of data-labeling startup Scale AI and acquire a 49 percent interest in his company. LeCun, who had previously reported to Chief Product Officer Chris Cox, now reports to Wang, which seems like a sharp rebuke of LeCun's approach to AI."
Yann LeCun founded Meta's FAIR lab in 2013 and served as the company's chief AI scientist, winning a 2018 Turing Award for work on deep learning and convolutional neural networks. LeCun will remain a professor at New York University after leaving Meta. LeCun contends that large language models like Llama are useful but cannot reason and plan like humans. LeCun urged that researchers should first design systems clearly smarter than a house cat before worrying about controlling ultra-intelligent AI. LeCun focused FAIR on world models that plan and reason while Meta shifted toward rapid commercial LLM deployment, prompting tensions, layoffs, and senior reorganizations.
Read at Ars Technica
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