AI pioneer Yann LeCun kicked off an animated discussion today after telling the next generation of developers not to work on large language models (LLMs). “This is in the hands of large ...

LeCun indicated that a lot of hype on both sides doesn’t take into account the reality of AI‘s past performance, and realistic projections for the future. 2. Building new paradigms ...

Yann LeCun, Chief AI Scientist at Meta, believes LLMs are doomed due to their inability to represent the high-dimensional spaces that characterize our world ...

The open source part is important, too – and LeCun was emphatic about the nature of the work that should occur to usher in the next AI age in a democratic way. The AI Winter and How it Happened ...

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 ...

In an exclusive interview leading up to the 10th anniversary of Meta’s AI lab, LeCun reflects on the artificial intelligence boom as the tech giant introduces new tools for generating audio ...

According to LeCun, it would take a human around 100,000 years to read all the text ingested by a leading LLM. But that’s not our primary method of learning.

Yann LeCun, Meta’s chief AI scientist, was awarded a TIME100 Impact Award in Dubai, in recognition of his achievements in the field.

Yann LeCun, Meta's chief AI scientist and one of the pioneers of artificial intelligence, believes LLMs will be largely obsolete within five years.

LeCun argues that AI systems today are all forms of System 1. For example, an LLM produces one token after another through a fixed amount of computation by reacting only to the current token ...

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.