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The boom of AI is not something that is hidden from anyone who is a little in sync with the world. While some of the popular personalities are all praise for the new tech, a few of them are also dropping their stern opinions on the bubble. In a recent development, Yann LeCun, Meta's chief AI scientists, dropped a warning suggesting that most robotics companies do not know how to develop the intelligence required to make humanoid robots useful and are working on only building the hardware. He said, 'There is a large number of robotics companies that have been created over the last few years, building humanoid robots. The big secret of the industry is that none of those companies has any idea how to make those robots smart enough to be useful, or I should say, smart enough to be generally useful.' LeCunn gave the statement while speaking at the inaugural MIT Generative AI Impact Symposium (MGAIC) at the Massachusetts Institute of Technology, United States. LeCunn further said, 'We can train those robots for particular tasks, maybe in manufacturing and things like this. But your domestic robot, there is a bunch of breakthroughs that need to arrive in AI before that’s possible.' He said that the future of these firms depends on whether they'll be able to make progress, significant progress, towards those kinds of world model planning-type architectures. What Can We Make Out Of It? It is pretty clear that LeCunn wants to convey that current-day large language models are not capable enough to power humanoid robots. He said, 'First of all, we’re missing something big that we need AI systems to learn from natural, high-bandwidth sensory data like video. We’re never going to get to human-level intelligence by just training on text.' He further claimed, 'A four-year-old has seen as much data through vision as the biggest LLMs trained on all the publicly available text.' Also Read: Mark Zuckerberg’s AI Plans Take A Hit As Meta Fires 600 Employees, Here Is why According to him, only the world model will be able to provide enough power to a humanoid so that it can achieve full potential. For those who are unaware, a world model could be dubbed an AI system that can learn from high-bandwidth video and sensory input to develop an internal understanding of the physical world. Get Latest News live on Times Now along with Breaking News and Top Headlines from Technology Science and around the world.
