AI Expert Predicts a New Revolution in Tech by 2030

[Admin]

Yann LeCun, a pioneer in artificial intelligence, says we're likely to see another major shift in AI technology in the next five years. But for now, current AI systems are still too limited to create things like home robots or fully self-driving cars.



LeCun, who is the chief AI scientist at Meta, explained that AI still struggles to understand the physical world. While recent developments, like OpenAI's ChatGPT, have brought AI closer to human-like intelligence, there's a long way to go. AI may be good at understanding language, but it can't yet process the world the way we do.

LeCun believes breakthroughs are needed before AI can be used for things like home assistants or cars that drive themselves. He's working on creating systems that can predict how the real world works, though he says we're still far from matching human intelligence. In fact, if an AI could match the intelligence of a cat or a rat, that would be a major win.

Another AI expert, Yoshua Bengio, agreed that we need to focus on AI safety. He urged leaders at an upcoming global AI summit to recognize the power and risks that come with advancing AI technology.

This week, LeCun and other AI pioneers were awarded the Queen Elizabeth Prize for Engineering, which recognizes their contributions to AI and machine learning. Along with LeCun, Yoshua Bengio and Geoffrey Hinton received the prestigious award. Machine learning, which helps AI systems learn from data, is a big part of their work.

The prize also went to Fei-Fei Li, who helped create a key dataset for training AI to recognize objects, and Jensen Huang and Bill Dally, key players in developing the chips that power AI.

In short, AI is advancing quickly, but there's still a long way to go before we see fully autonomous robots or cars.