Maybe they realized that they were falling behind too much? To me it seems like user-feedback on bad descisions by the AI once it's trained to a basic level is among the most important signals in tuning the model to perform better.

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danelski an hour ago | parent [-]

That's what I believe. Once you have scanned every passive source available, using the user conversations to e.g. find common paths to a solution and shortcut them would seem natural.

	▲	whizzter 12 minutes ago \| parent [-]
		Paths and shortcuts isn't the most important part here I think, rather negative signals about unfitting choices is more important, do we use algorithm/library/etc XYZ in this situation or not, the developers using it would provide the context suitability of options on a more finegrained level than resulting (semi-)public artifacts provide.