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Considering what happened on the Navier–Stokes event of OpenAI recently, I keep wondering how much of these discoveries are actually

a.) novel isolated achievements of an AI, or

b.) the result of continuous focused in-house training with data involuntarily contributed by thousands of researchers using the LLM, aiming to make a press-release to boost the reputation of the AI in question...

It's quite a novel situation, where thousands of people use a tool from the same supplier to solve a problem, for the supplier to silently join the race, consolidate all work and jump in at the last minute to claim that HE solved the problem.

Like e.g. Nike removing the runner from their shoes at last minute to claim that the race was won by the shoe alone...

 help



I do wonder how much of this "insight" is even the AI's own work. The fact that they rush this out to the press makes me think they know they'll have the actual researchers "steal" their thunder with a real research paper.

Exactly my thought. How much of the result is actually the consolidation of an unknown amount of researchers using the LLM to "sort their thoughts".

If it's true that they don't know how much of the training data contribution came from which user, they also have a weird race-condition on each result, where they don't know how distributed the contributed data actually is across users.

This means on each AI result they don't know how close an individual researcher already is to the same conclusion, so they need to rush to a press-release before some human devalues their (multi-million) compute-investment...




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