Is AI Reasoning Right for the Wrong Reasons?
I am puzzled by the contradictory evidence surrounding AI reasoning models. While systems like OpenAI's o1 solve complex math problems, research from the Santa Fe Institute and NYU suggests their 'chains of thought' are often meaningless shortcuts. Experts like Melanie Mitchell and Subbarao Kambhampati argue these models succeed without genuine logical steps, challenging our understanding of machine intelligence.
Many ideas that have been proposed about the sources of strength of these models have been misunderstood or mischaracterized. That is not science. That is investment.