AI learns from the products of thinking, not thought itself. That's a problem for machines—and for us
AI-generated summary A new paper published on the arXiv preprint server argues that artificial intelligence models are trained on the traces of thought rather than actual thinking processes. The authors state that this focus on final traces hobbles current artificial intelligence systems and can create similar problems for human users relying on them.