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?
That's the problem. It leaves the incompenent as being prcived as not mediocre and prhaps even proficient, so when somthing goes wrong it will be catastophic. Don't give tools to novices and hire them as professionals.
It can happen but it doesn't most of the time and when it happens it depends if you can blame other people. This is why everyone pays huge amount of money on support and you always need a ticket opened with support, even when you don't actually need one.
When things go bad and you can blame someone else, like Oracle for instance, than the company sues and gets millions.
Few people actually care about what they do and mostly it's going to be some white guys in their late 40s and early 50s. The rest are here for the money and nothing else.
Would you say there's a promising avenue for new entry levelers in debugging chatjeetpt dei code?
Naw, they just leave in the bugs and let users figure out workarounds.