The problems with the current generation and rollout of "AI" which I am using synonymously in this post with large language models, because that's the context i

The problems with the current generation and rollout of "AI" which I am using synonymously in this post with large language models, because that's the context it seems to be mostly used in print media - are so numerous that I could not list them out all in one post and this has been debated to an absurd degree already, on this site and on other platforms. I really can't think of many, if any real positives. One example I like to use is in video game tutorial articles. I don't know if you've tried to use basically any search engine to find reliable video game information/walkthroughs lately, but the amount of blatant misinformation that has proliferated in this space makes searching the web for even the most basic information an exercise in complete futility. This is something "AI" should be good at. Video game walkthroughs have been done to death, a game that's been out for 2+ years has likely already had every single secret and path in it discovered 10,000 times over and posted all over reddit and other sites. Yet, after completing my 2nd elden ring run this weekend, my first since 2022, I was struck at how much blatantly wrong info I stumbled across, even on websites I had considered "authoritative." And it's always subtle enough to be impossibly annoying - stuff like "head south from this site" when in fact, it should have said "north" Very small errors that seem like the result of hallucinations that cause an inordinate amount of time spent figuring out what's wrong - much like my experience with coding "assistants." If it can't get something like this correct - which I'm aware isn't necessarily a purely "AI" problem - how do we expect it to do anything important? I really have not seen a solid case yet and would love to be convinced otherwise, but the more I learn the less I like what I see.