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The OpenAI model solved part of another million-dollar "millennium problem": Physicists confirmed the neural proof of Young-Mills' quantum theory. The Standard Model of particle physics is based on it. This model accurately predicts the results of collider experiments. For more than 50 years, no one could prove that his foundation did not contradict the mathematics. The AI ​​has done this, but the hardest part of the problem is still unsolved. On November 10, scientists published the proof code. The problem is that no one can yet fully understand the logic of the machine. The OpenAI model also helps to check the correctness of the solution.

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The OpenAI model solved part of another million-dollar "millennium problem": Physicists confirmed the neural proof of Young-Mills' quantum theory. The Standard Model of particle physics is based on it. This model accurately predicts the results of collider experiments. For more than 50 years, no one could prove that his foundation did not contradict the mathematics. The AI ​​has done this, but the hardest part of the problem is still unsolved. On November 10, scientists published the proof code. The problem is that no one can yet fully understand the logic of the machine. The OpenAI model also helps to check the correctness of the solution.

The OpenAI model solved part of another million-dollar "millennium problem": Physicists confirmed the neural proof of Young-Mills' quantum theory. The Standard Model of particle physics is based on it. This model accurately predicts the results of collider experiments. For more than 50 years, no one could prove that his foundation did not contradict the mathematics. The AI ​​has done this, but the hardest part of the problem is still unsolved. On November 10, scientists published the proof code. The problem is that no one can yet fully understand the logic of the machine. The OpenAI model also helps to check the correctness of the solution.

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