Alex Lupsasca, theoretical physicist and OpenAI fellow, describes how an internal OpenAI reasoning model derived a novel physics proof independently from first principles.
“We had this Internal model that could think for a very long time and was extra strong in physics. So we gave it the whole problem from scratch without actually giving it this. We just formulated the problem in a very sharp way and asked the model to solve, to find the answer for the amplitude in the general case in this region, because now we'd identified that this was the special place to look. And it took 12 hours, which is a long time, but it came back with the same formula, which we had not given it. So it rediscovered the correct formula, but this time it also found the proof that the formula is correct, it derived it.”
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AssertionNot checkable as stated
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