If you talk to PhD students at Berkeley and Stanford in AI right now, they'll tell you that they've read twice as many interesting AI ideas in the last year that were from Chinese companies than American companies,
Yann LeCun, the AI pioneer who has led Meta's Fundamental AI Research (FAIR) division since 2013, will reportedly leave that post to start his own AI research lab. LeCun plans to depart in the coming months, and has begun early fundraising discussions to support his new venture, the reports say. The new startup will focus on building "world models," or AI systems that learn from images, video, and spatial data instead of relying solely on text and large language models.
There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are dedicating vast energy resources to assist them. And the race is centered on one idea: transformer-based architecture with large language models are the key to winning the AI race. What if they are wrong?
