According to @gdb and @neelsomani on X, GPT-5.2 Pro has successfully solved Erdős problem #281, a previously unsolved challenge in mathematics, without any prior human solutions. Mathematician Terence Tao described this as 'perhaps the most unambiguous instance' of AI independently solving an open mathematical problem (source: https://x.com/neelsomani/status/2012695714187325745). This achievement demonstrates the rapidly growing practical potential of advanced AI models in theoretical mathematics and scientific research. The use of GPT-5.2 Pro in this context highlights new business opportunities in AI-driven mathematical discovery and automation, as well as future trends in AI-assisted scientific innovation.

According to Demis Hassabis on Twitter, the AI for Science team has made significant progress in materials research, highlighting the potential of artificial intelligence to accelerate materials discovery and innovation (source: x.com/demishassabis/status/1982031487558951232). This development demonstrates how AI technologies are transforming scientific research by enabling faster analysis, prediction, and simulation of new materials. Businesses in the AI industry can leverage these advancements to create new solutions for sectors such as pharmaceuticals, energy, and advanced manufacturing, where rapid materials innovation offers a competitive edge.