[atmosx]

In many cases, people are satisfied with responses that are almost or somewhat correct. That's a valid approach - that's exactly how prometheus monitoring works (pull-based metrics): we don't see the details of that spike, just the big picture and that's good enough and cheap in a sea of datapoints where pods come and go...

It feels like another example of regression toward the mean in our society. At the same time, this creates a valuable opportunity for diligent, detail-oriented professionals to truly stand out.

[sudomateo]

Well said! If AI can start me at 80% and I take it the remaining 20% that helps me do more and learn with my time. It frees me up to do the human things that are required of me.

I'm actively aware of the regression towards the mean and discuss that with my peers frequently. It helps me prevent atrophy of my skills while reaping the benefits of AI. Put another way, there are people out there using AI to punch well above their weight while not actually being a good fighter in the first place. If you're a good fighter are you going to let an inexperienced fighter step into the rings that you're meant to step into?