alt Hacker NewsI think that was Tao's point, that the new proof was not just read out of the training set.
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rzmmm • today at 7:30 AM
The model has multiple layers of mechanisms to prevent carbon copy output of the training data.
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I think that was Tao's point, that the new proof was not just read out of the training set.
The model has multiple layers of mechanisms to prevent carbon copy output of the training data.
I don't think it is dispositive, just that it likely didn't copy the proof we know was in the training set.
A) It is still possible a proof from someone else with a similar method was in the training set.
B) something similar to erdos's proof was in the training set for a different problem and had a similar alternate solution to chatgpt, and was also in the training set, which would be more impressive than A)