Meta’s artificial intelligence chief, Yann LeCun, has said that large language models (LLM) such as ChatGPT would never achieve the ability to reason and plan like humans. He also said that depending on LLMs to reach human-level intelligence is not right as these models need the right training data to answer human prompts correctly, and hence they are ‘intrinsically unsafe’.
LeCun shared his thoughts with The Financial Times and said these LLMs, “do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan hierarchically.”
He is also working to develop an entirely new generation of AI systems that will hopefully power machines with human-level intelligence, although he said this vision could take about ten years to achieve fruitfully. LeCun has stated that he and his roughly 500-strong team at Meta's Fundamental AI Research lab are also working to develop an entirely new generation of AI systems based on an approach known as "world modeling."
In this approach, the system builds an understanding of the world around it in the same way that humans do and accordingly senses and reacts the same way. However, the same report notes that this is a potentially risky gamble, as many investors are hoping for quick returns on their AI investments.
Last month, Meta lost nearly $200 billion in valuation, when its CEO Mark Zuckerberg vowed to increase spending and turn the social media group into one of the leading AI companies in the world. This made the company’s Wall Street investors concerned about rising costs with little immediate revenue scope.
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