Recently, a study led by Meta's Chief AI Scientist Yann LeCun revealed how artificial intelligence can develop a basic understanding of physics by watching videos. This research, conducted by scientists from Meta FAIR, Paris University, and EHESS, shows that AI systems can acquire intuitive physical knowledge through self-supervised learning without predefined rules. The research team employed a new method called Video Joint Embedding Predictive Architecture (V-JEPA).

Yann LeCun, head of AI research at Meta, recently stated in an interview that current AI systems are not as powerful as some researchers have claimed. He noted that the true understanding, planning, and reasoning capabilities of AI are still lacking and that multiple 'conceptual breakthroughs' are needed to achieve human-like intelligence. Image source note: Image generated by AI, image licensed from provider Midjourney. LeCun criticized the overly optimistic attitudes of OpenAI and Google DeepMind towards AI.

Yann LeCun defended the Llama open source large model in the Senate, emphasizing the importance of open source. Artificial intelligence should be viewed as infrastructure, and open source can facilitate its rapid development. Open source models help democratize access to cutting-edge technology and reduce social disparities. There is an urgent need for collaboration to establish standards and governance models for artificial intelligence. Yann LeCun supports related legislation and is willing to cooperate with relevant personnel within companies.