Meta’s artificial intelligence chief said the large language models that power generative AI products such as ChatGPT would never achieve the ability to reason and plan like humans, as he focused instead on a radical alternative approach to create “superintelligence” in machines. Yann LeCun, chief AI scientist at the social media giant that owns Facebook and Instagram, said LLMs had “very limited understanding of logic . . . do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan . . . hierarchically”. In an interview with the Financial Times, he argued against relying on advancing LLMs in the quest to make human-level intelligence, as these models can only answer prompts accurately if they have been fed the right training data and are, therefore, “intrinsically unsafe”. Instead, he is working to develop an entirely new generation of AI systems that he hopes will power machines with human-level intelligence, although he said this vision could take 10 years to achieve. Meta has been pouring billions of dollars into developing its own LLMs as generative AI has exploded, aiming to catch up with rival tech groups, including Microsoft-backed OpenAI and Alphabet’s Google. LeCun runs a team of about 500 staff at Meta’s Fundamental AI Research (Fair) lab. They are working towards creating AI that can develop common sense and learn how the world works in similar ways to humans, in an approach known as “world modelling”. The Meta AI chief’s experimental vision is a potentially risky and costly gamble for the social media group at a time when investors are itching to see quick returns on AI investments.

Full report : Meta AI chief says large language models will not reach human intelligence.