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It\u2019s been more than 18 months since ChatGPT\u2019s debut sparked a rally that propelled AI chipmaker Nvidia<\/a> to a $3 trillion market cap in June, yet billionaire investor Ken Griffin isn\u2019t buying the hype around the technology\u2014not yet at least.<\/p>\n Speaking to Citadel\u2019s new class of interns at New York, the founder and CEO acknowledged artificial intelligence reached an \u201cinflection point\u201d with the rollout of large language models, but disputed that LLM-based tools like OpenAI\u2019s own ChatGPT would over the next three years become more valuable than the top talent he\u2019s recruiting straight out of universities.<\/p>\n \u201cFor a number of reasons, I am not convinced that these models will achieve that type of breakthrough in the near future,\u201d Griffin said on Monday, according to comments\u00a0reported<\/a>\u00a0by CNBC.<\/p>\n As evidence, the Citadel boss cited self-driving cars, which struggle when confronted with so-called edge cases that fall beyond the boundaries of statistically common traffic occurrences.\u00a0<\/p>\n Most autonomous vehicles are trained by feeding them images labelled with data describing the environment around them: that way a computer can recognize for example whether what\u2019s crossing the street is a small child or just a rubber ball. But there are often instances when a self-driving car may find itself confronted with a situation it has never seen before, and it behaves incorrectly since it lacks human intuition.\u00a0<\/p>\n \u201cMachine learning models do much better where there\u2019s consistency,\u201d Griffin said, justifying his skepticism.<\/p>\n\n