Fields medalist Terence Tao has warned that artificial intelligence may be advancing through difficult mathematical problems faster than researchers can replace them with new challenges. According to Decrypt, Tao pointed to a race between OpenAI and Anthropic as evidence of how quickly AI systems are improving. In his view, a challenging problem can be effectively flattened soon after a researcher begins working on it. The observation highlights a changing research environment in which AI’s ability to tackle advanced mathematics could reduce the time available for human-led discovery before existing problems are solved. Tao’s comments focus on the pace of progress rather than a specific AI model, product, or mathematical result. The remarks add to broader discussion about how rapidly developing artificial intelligence could affect the future of mathematical research.
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Decrypt
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