OpenAI's latest reasoning models can solve complex physics problems and write sophisticated code better than some humans – but they're wrong about basic facts up to 79% of the time. How is that possible?

In this deep dive, we unpack one of the most concerning trends in AI development: the reasoning model paradox. Despite being more capable than ever, models are hallucinating at unprecedented rates, with error rates that have doubled or even tripled compared to previous generations.