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> Many of the agents that worked on the problem did not have comprehension of the whole problem

Isn’t this the issue with using it the way you’re suggesting? At best the model can come up with an after-the-fact rationalization of how to get to the solution, but it doesn’t know what actual path it took to get there - what were interesting traps it fell into, where was a place it was close to the solution but didn’t realize at the time.

Those are things that are valuable to share between humans, those which teach us how to think better, and give us deeper understanding ourselves, and which a model doesn’t have any comprehension of.

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Then have it discover it again and have it answer based off that run. Or if you are more curious have it solve it 10 times. See what it did differently each time.
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