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It's hyped. It's also legitimately useful. I expect to see many more real use cases and integrations into existing technology and into everyday life. And that's
by sk11001 2y ago
It's hyped. It's also legitimately useful. I expect to see many more real use cases and integrations into existing technology and into everyday life. And that's just with the models we have at the moment, who knows if newer models can make even bigger leaps.
I also expect to see markets and hype go up and down because these things go in cycles.
If you expect it to completely change the world in the next couple of years, you're probably wrong. And if you think that it's a useless gimmick with a giant hype bubble around it, and that it will disappear as soon as the hype dies down, you're also very wrong.
- beoberha 2y agoYeah the boring answer is the right answer. It’s very clear to see the benefits and I think we’re only going to see more use cases emerge outside of the immediately obvious like a coding copilot. That said, there’s clearly industries where it won’t stick or be too cost prohibitive to implement. My most “bold” take is that it’s going to end up as a loss leader consolidated at big companies. It’s much too expensive to run at scale and we will see a ton of companies dry up who can’t monetize it. I think we’ll see a general inability to monetize it even at the enterprise level.
- benterix 2y ago> I think we’ll see a general inability to monetize it even at the enterprise level. Well, it depends. If you already have a lot of your own data, and can rent powerful hardware to train your model (and competent people do actually set up and manage the whole process), you can get a very powerful engine with interesting insights that will be relevant to you (and possibly to you only), with the effect probably proportional to how specific your data is. After the training phase, actually using the model doesn't need to be that expensive.