AlphaGo Creator Argues LLMs Are All Intuition, No Reasoning
The artificial intelligence that displayed what looked like genuine creativity against a Go grandmaster a decade ago relied on a form of reasoning that today's most celebrated AI systems fundamentally lack, according to Thore Graepel, a researcher who helped build AlphaGo. In an essay for MIT Technology Review, Graepel argues that large language models (LLMs) operate as powerful but narrowly 'intuitive' engines—System 1 in Daniel Kahneman's famous framework—while lacking the deliberative System 2 search that gave AlphaGo its creative spark. Without genuine reasoning capabilities, he warns, these models cannot be fully trusted for fields like science and medicine.
