

Cool anecdote. Every time we actually see real data, though, the numbers don’t reflect much in the way of productivity gains or increased efficiency or better output. People say that LLMs are useful because it feels useful, but we aren’t seeing actual usefulness. The most recent study out of Duke University observes “a productivity paradox, in which perceived productivity gains are larger than measured productivity gains, likely reflecting a delay in revenue realizations.”
A delay. Sure.

I directly quoted a study from Duke University, how is that “even less substance” that your anecdote?