Earlier quoted context omitted.
> Someone still needs to review and test the code, and if the code is for embedded systems I find it unlikely. I feel like you didn't understand my comment. I am predicting that there is no code to review. You simply ask the AI to do stuff and it does it. Today, for example, you can ask ChatGPT to play chess with you, and it will. You don't need a "chess program," all the rules are built in to the LLM. Same goes for…
> I feel like you didn't understand my comment. I am predicting that there is no code to review. You simply ask the AI to do stuff and it does it. I didn’t, and thanks for clarifying for me. This doesn’t pass the sniff test for me though - someone needs to train the models, which requires code. If AI can do everything for you, then what’s the differentiator as a business? Everything can be in chatGPT but that’s not t…
What the customer wants only matters insofar as they are willing to pay for it. Sure, I'd rather talk to a person... But I'm not willing to pay 100x as much for a service that's only marginally better. Same reason I don't fly first class, as miserable as coach is.
Someone may want to pay for a boutique human lawyer/banker/coder/professor, maybe as a status symbol, the same way people pay $20k for an ugly handbag. But I think most people will take the cheaper and almost as good option, when the difference in quality is far overshadowed by the difference in price.
> someone needs to train the models, which requires code.
I'm not sure that training llms is a coding problem, but it doesn't much matter: llms can train each other.
> If AI can do everything for you, then what’s the differentiator as a business?
Good question. My gut says there isn't: all money flows to the model providers, everyone else is a serf at best parasiting on someone else's model.