I don't think we've figured out stuff it's useful for, we've just created tech-demos that are much more digestible.
For blockchain/crypto companies their tech demos have required you having a wallet, downloading an app to interact with the chain, or just having lackluster visuals for the users involved in the tech-demo.
On the other hand, LLMs can be interfaced via strings in APIs, so it's braindead to spin up a text-interface for those APIs and no wallet setup or learning about new chains, the English that works on one model will work on another and produce results that are better than most cryptocurrency/blockchain tech-demos.
Notice that none of this relies on us having "figured out all kinds of stuff that this is useful for". We've made cool looking tech demos that make it easy for anyone to generate content.
Much like blockchains I feel it's the underlying technology that's actually useful(distributed PKI for blockchains and deep learning networks for GPT), and GPT itself is only 'useful' insofar as it's an easy-to-interface with implementation of a much more powerful idea.
I mean, the usual argument about why blockchains aren't useful implies they have to be useful for every person in all situations and that tradeoffs are unacceptable, so if there is some marginal extra cost or complexity then no matter how many benefits I might claim to be getting from using blockchain technology every single day as a replacement for random banking institutions I'd previously been having to deal with for decades that I'm somehow just wrong and there are no actual use cases...
..and that's the same deal for GPT as far as I can tell: you might think you are getting value out of it, but people such as maybe-literally-me are going to whine that the error rate is high and that people are not paying enough attention to how they are using it and that at the end of the day it is probably worse for you than learning how to do things yourself and that the whole thing is overrated because many of the things people try to use it for can be done by a person and maybe we should regulate it or even ban it because all of this misuse and misunderstanding of it are dangerous to the status quo and might be the downfall of western civilization as we know it.
To be clear: I'm using it (ChatGPT) occasionally for some stuff, but it hasn't replaced Google for me anymore than crypto has fully replaced banks... and yet the fact that I am using either technology as often as I am on a daily basis would probably have been surprising to someone 10-15 years ago. And yet, in practice, most of the stuff people are excited about in both fields is, in fact, a tech demo more than a truly useful product concept, and one that only is exciting momentarily until you get bored.
I think you’ve got some combination of a utopia fallacy and a straw man going on here.
I just want to contrast two things. First, blockchain had a lot of hype around utility that never materialized. It is really quite a minority that ever used it for anything besides buying it on a platform and hoping it would go up. The big adoption was always about to happen.
Second, ChatGPT is totally different from this. Its usage is not future tense. It is present tense and past tense. I can’t get across how different “someone will use this tomorrow” is from “someone used this yesterday”.
People are wildly excited about the future and things that haven’t been built. This does not change the fact that millions of people are using this every day to solve their problems. Saying “we haven’t figured out stuff it’s useful for” is just wrong.
Lately I feel like I’m at a park with people who are saying there probably isn’t going to be any wind today while I’m already flying a kite.
For blockchain/crypto companies their tech demos have required you having a wallet, downloading an app to interact with the chain, or just having lackluster visuals for the users involved in the tech-demo.
On the other hand, LLMs can be interfaced via strings in APIs, so it's braindead to spin up a text-interface for those APIs and no wallet setup or learning about new chains, the English that works on one model will work on another and produce results that are better than most cryptocurrency/blockchain tech-demos.
Notice that none of this relies on us having "figured out all kinds of stuff that this is useful for". We've made cool looking tech demos that make it easy for anyone to generate content.
Much like blockchains I feel it's the underlying technology that's actually useful(distributed PKI for blockchains and deep learning networks for GPT), and GPT itself is only 'useful' insofar as it's an easy-to-interface with implementation of a much more powerful idea.