GPT-5 and the future of mathematical discovery

OpenAI's GPT-5 collaborated with UCLA Professor Ernest Ryu to solve a key problem in optimization theory, according to an OpenAI Blog post. The problem involved finding a solution to a long-standing question in the field, showcasing how large language models can assist in mathematical discovery. This marks a significant step in demonstrating AI's ability to contribute to rigorous scientific research, particularly in domains requiring deep reasoning and pattern recognition. For those building AI workflows, the example underscores the potential of integrating advanced language models into research pipelines, but it also highlights the necessity of human expertise—the professor's domain knowledge was crucial in guiding the model and validating results. The collaboration suggests a future where AI acts as a research accelerator, but current limitations mean it remains a tool that enhances, rather than replaces, human intellect.