The iron law of "nothing ever happens" necessitates this

Or Microsoft and Meta will make sure there's less competition in the future for their own LLMs?

I do think that if OpenAI goes bust that's gonna trigger a market panic that's gonna end the hype cycle.

But then how will people write 20 cover letters a day to keep up with the increasing rate of instant rejections?

Saw a really depressing ad at work the other day where Google was advertising their thing and it was some person asking their LLM to write a letter for their daughter to this athlete bragging about how she'll break her record one day. They couch it in "here's a draft" but it's just so bleak. The idea that a child so excited about doing a sport and dreaming of going to the Olympics and getting a world record can't just write a bit of a clumsy letter expressing themselves to their hero is just beyond depressing. Writing swill for automated systems that are going to reject you anyway is one thing, but the idea that they think that this is a legitimate use of these models just highlights how obnoxiously out of touch they are.

How do we learn and grow as people and find our own writing voices if we don't write some of the most cringe shit imaginable when we're young. I wrote a weird letter to Emma Watson in middle school, nobody ever read it, but it was a learning experience and made me actually have to think about my own feelings. These techbros have to have been grown in vats.

So the emotional resonance I felt when I asked ChatGPT to write me a song about my experiences still loving the parent that abused me was what to you?

Like the results were objectively artless glurge of course but I needed that in that moment.

I promise this isn't true. AI is absolutely a scam in the sense that it's overhype as fuck, but LLMs are frequently of practical use to me when doing basically anything technical. It has helped me solve real-life problems that actually materially helps others.

Lmao even

I agree that this tech has lots of legitimate uses, and it's actually good for the hype cycle to end early so people can get back to figuring out how to apply this stuff where it makes sense. LLMs also managed to suck up all the air in the room, but I expect the real value is going to come from using them as a component in larger systems utilizing different techniques.

I think there are legitimate uses for this tech, but they're pretty niche and difficult to monetize in practice. For most jobs, correctness matters, and if the system can't be guaranteed to produce reasonably correct results then it's not really improving productivity in a meaningful way.

I find this stuff is great in cases where you already have domain knowledge, and maybe you want to bounce ideas off and the output it generates can stimulate an idea in your head. Whether it understands what it's outputting really doesn't matter in this scenario. It also works reasonably well as a coding assistant, where it can generate code that points you in the right direction, and it can be faster to do that than googling.

We'll probably see some niches where LLMs can be pretty helpful, but their capabilities are incredibly oversold at the moment.

Nvidia is in sell the shovels business, they'll be fine even if stock craters

Yeah like Lehman Bro’s. The only bad guys in the industry.