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?
Works well for code but is not limited to that. Tasks that are easy conceptually but you want to allow non-tech people to see it. For instance we use AI to generate analysis on security policies inside AWS. We don't need this ourselves but the security team has no clue about cloud so the info is useful for them. It's dynamic and runs regularly and was built really fast.
Oh, don't get me wrong. I've found uses for it. It's great for coming up with ideas for a D&D campaign.
I just don't see $100t Super Death Star Datacenter level of usefulness out of AI.
I did that to amazing result. I wanted a small sandbox style low level campaign using a lite DnD system for my kids while we were on vacation. It was suppose to be inspired by the first Resident Evil game. It gave me puzzles and back stories and it is great for that.