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While this is technically possible, it is not remotely practical and the downside risk of pushing out a borked model is much higher than the upside.

Training the model is expensive (obviously), but even if you are only training it slightly, running evaluations to determine whether the particular training checkpoint is at or above the quality bar is expensive, too.

> The question is if it solved the puzzle correctly before Norvig's article appeared. It could have been trained...

This caught me by surprise — is there a suggestion or evidence that despite the "knowledge cutoff" OpenAI is continuously retraining GPT-4o's chat-backing model(s) on day over day updates to the web?

Sure,

I guess the best way to test this is to compose a new question, of a similar format.

I am not sure "of a similar format" suffices here, it should not have any resemblance or similarity to this new question or riddle.