Meta's top AI scientist Yann LeCun said there is a 'major misunderstanding' about how billions in AI investment will be used.

DeepSeek just shook up the artificial intelligence (AI) world in the biggest way since OpenAI launched ChatGPT in late 2022. The Chinese company's new R1 large language model (LLM) reportedly matches or beats OpenAI's o1 model on some benchmarks.

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

The Silicon Valley giant was criticized for giving away its core A.I. technology two years ago for anyone to use. Now that bet is having an impact.

Meta's chief AI scientist, Yann LeCun, said DeepSeek's success with R1 said more about the value of open-source than Chinese competition.

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

The success of DeepSeek demonstrates to LeCun that open-source AI models bring essential value to the field of research. DeepSeek's R1 model leverages open-source development since the community can contribute to its advancement while other companies retain their proprietary models.

Meta is in crisis mode after DeepSeek, a Chinese AI startup, launched a game-changing AI model. Reports indicate that Meta assembled four “war rooms” to investigate how the new model, backed by High-Flyer Capital Management,

Meta’s Chief AI scientist Yann LeCun has given his assessment about the success that DeepSeek is enjoying in the artificial intelligence industry. According to LeCun, the biggest point to note in its rise is its vision to keep AI models open source so that everybody can benefit from it.

Meta's chief AI scientist predicts that in the next three to five years, we will enter the decade of robotics.

Mark Zuckerberg has long championed Meta Platforms Inc.’s open-source approach to artificial intelligence software — which lets other companies access and build on top of its technology — saying that having an American model as the underpinning of new products was key to ensuring US dominance over China in AI.

With AI, though, it’s different. The stakes are different – the impact on our society and our personal lives is different. So it helps to know a little more about how AI agents, LLMs and neural nets, are making decisions and processing what’s around them.