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I agree, and would like to hear examples of where this has not been the case. I'm sure they're out there. But pretty much everything has been "how can we use LLMs" and "it doesn't matter if it was a problem that we had that needed to be solved; we need to gain experience now because AI is The Future and we can't be left behind".

Occasionally it works and people stumble across a problem worth solving as they go about applying their solution to everything. But that's not planning or top-down direction. That's not identifying a target in advance.