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Yeah 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 immedia

Yeah 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.