[OpenAI Announces Three Scientific Breakthroughs in AI, Covering Mathematical Conjectures, Computer Algorithms, and the Millennium Prize Problem] BlockBeats reported on October 27th that OpenAI announced three major breakthroughs in its AI models across mathematics, computer science, and physics, demonstrating AI's ability to independently discover and prove complex scientific theories, rather than simply answering questions or assisting research. In mathematics, AI proved the local smoothness conjecture applicable to all dimensions (studying how long energy concentrations in phenomena like waves can persist), thereby solving the Kakeya conjecture (studying the minimum space required for a needle to rotate in all directions within a finite space) and the Stein constraint conjecture (studying mathematical problems related to complex wave patterns). In computer science, AI overturned the long-held, widely accepted assumption of exponential time (the notion that certain complex computational problems inevitably involve a rapid increase in computational cost with scale), meaning that faster algorithms may be found in the future. In the field of physics, AI has proposed rigorous mathematical proofs of the existence of quantum chromodynamics (the theory explaining how quarks combine to form protons, neutrons, and other particles) and Yang-Mills theory (a mathematical theory describing the forces between elementary particles), involving one of the seven Millennium Prize Problems in mathematics. OpenAI stated that the mathematical and computer science results have been formally verified using the Lean mathematical verification tool, and the proof materials have been made public; the physics results are currently under review by experts, including Nobel laureates in physics. Further independent confirmation from the academic community is still required.