Did AI Just “Solve” Math? (Let’s Take a Closer Look) | AI Reality Check

OpenAI’s recent announcement regarding the disproof of Paul Erdos’ planar unit distance conjecture demonstrates the utility of large language models in specialized mathematical research. Rather than achieving autonomous genius, the model generated a long chain-of-thought transcript containing a counterexample, which human experts subsequently refined into a formal proof. This breakthrough confirms that mathematical reasoning and computer programming are highly navigable "tributaries" for AI, as they rely on structured notation and objective verification. However, this success does not signal the emergence of general artificial intelligence; instead, it validates the effectiveness of modular, domain-specific architectures over monolithic models. The intense public reaction to this development reflects a flawed, polarized discourse that frames AI as an existential threat rather than a practical, evolving tool for augmenting human expertise in technical fields.