Yann LeCun used to head research at Meta. He’s a pre-eminent voice in tech, and took the stage at Davos this January to talk about some of the dynamics in play here. In interviewing LeCun for segment ...

New York University’s Yann LeCun has been selected as a winner of the 2025 Queen Elizabeth Prize for Engineering—one of seven recognized for contributions to the advancement of Modern Machine Learning ...

A token is the smallest unit of data an AI model processes ... which can cost at least $30,000 — lost almost $600 billion. Yann LeCun, the chief AI scientist for Facebook AI Research, however ...

Meta’s Yann LeCun asserts open-source AI is the future, as the Chinese open-source model DeepSeek challenges ChatGPT and ...

For Meta's chief AI scientist, Yann LeCun, the biggest takeaway from DeepSeek's success wasn't the heightened threat posed by Chinese competition but the value of keeping AI models open-source so ...

Meta's chief AI scientist, Yann LeCun, says that a "new paradigm of AI architectures" will emerge in the next three to five years, going far beyond the ...

Yann LeCun doesn't like the term AGI ... but those who don't have language still have thoughts. For LeCun, this means that we need "natural data" – but this is only available in a disorganized ...

Yann LeCun, one of the godfathers of artificial intelligence (AI) and chief AI scientist at Meta believes that having will be integral for the future of AI. He believes that training will be ...

Our weekly podcast on democracy in America. This week, we determine how much sway states will have over the new administration’s agenda.

CEO of AI Research at Meta Yann LeCun denounced ... trained models to new data instead of training methods themselves. The success of DeepSeek demonstrates to LeCun that open-source AI models ...

Speaking at a session at the World Economic Forum in Davos, Meta chief AI scientist, Yann Le Cunn ... probably three to five years," LeCun added. "We're going to see the emergence of a new ...

Meta's chief AI scientist, Yann LeCun, says that a "new paradigm of AI architectures" will emerge in the next three to five years, going far beyond the capabilities of existing AI systems.