Haven't heard much about it in a while. My boss at work keeps telling us to use AI to do things AI isn't capable of doing without so many errors it takes more time to review the AI output than to just do it myself.
I noticed a lot of AI datacenters that were talked about mostly all stalled.
What's the current situation on AI?
Sort of like how I was hired as the first software quality assurance engineer for the client/patient datbase driven website for UPMC so the deparment manager could say I wasn't doing my job prop3erly if I had rubber stamped al of the test cases as he demended because the H1-B visa indians couldn't even read the feature requirements because even though they could enunciate the English words they could not understand evn short phrases in English much less sentences and more than one did not know the difference between C and C# evn though the project was developed in ASP .NET.