Major Legal Reform in England and Wales Benefits Survivors of Child Sexual Abuse
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Yann LeCun, a prominent figure in artificial intelligence (AI) and chief AI scientist at Meta, has forecasted a significant technological revolution within the next three to five years, driven by the current limitations of existing AI systems. LeCun received recognition as one of seven engineers awarded the £500,000 Queen Elizabeth Prize for Engineering for their contributions to machine learning. He emphasized that new breakthroughs are necessary for systems to understand and interact effectively with the physical world, which is vital for achieving advancements such as domestic robots and fully autonomous vehicles.
Despite recent progress in AI capabilities, exemplified by platforms like OpenAI's ChatGPT, LeCun indicated that systems still struggle with real-world comprehension. He noted, “We’re not talking about matching the level of humans yet. If we get a system that is as smart as a cat or a rat, that would be a victory.” Fellow winner Yoshua Bengio echoed concerns about the need for enhanced safety measures in AI technology, urging global leaders to grasp the associated risks. This recognition comes on the heels of AI pioneers winning two Nobel prizes in 2023, reflecting the growing impact of machine learning on industries worldwide.