alt Hacker News> 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 the only business in existence. If something goes wrong, who is gonna debug it? Instead of API requests you would debug prompt requests maybe.
We already hate talking to a robot for waiting on calls, automated support agents, etc. I don’t think a paying customer would accept that - they want a direct line to a person.
I can buy the argument that the backend will be entirely AI and you won’t need to be managing instances of servers and databases but the front end will absolutely need to be coded. That will need some software engineering - we might get a role that is a weird blend of product + design + coding but that transformation is already happening.
Honestly the biggest change I see is that the chat interface will be on equal footing with the browser. You might have some app that can connect to a bunch of chat interfaces that is good at something, and specializations are going to matter even more.
It was a bit of a word vomit so thanks for coming to my TED Talk.
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We hate talking to robots because they are largely useless when we have anything out of routine. We love talking to robots when we would ordinarily wait 30 minutes for a 3-minute conversation.
> I don’t think a paying customer would accept that - they want a direct line to a person.
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.