[Fbnkigffb66tfbj]

> you very likely cannot feed that half-assed junk to any LLM no matter how advanced and expect useful results

Why don't you think that a sufficiently advanced AI can do the same as what technical humans do today with vague directions from managers?

[vbezhenar]

I feel that issue with AI is similar to issues with AI cars.

AI car won't ever reach its destination in my city. Because you need to actively break the rules few times if you want to drive to the destination. There's a stream of cars and you need to merge into it. You don't have an advantage, so you need to wait until this stream of cars will end. However you can wait for that for hours. In reality you act aggressively and someone will allow you to join. AI will not do that. Every driver does that all the time.

So when AI will try to integrate into human society, it'll hit the same issues. You sent mail to manager and this mail got lost because manager does not feel like answering it. You need to seek him, you need to face him and ask your question, so he has nowhere to run. AI does not have physical presence, neither he have aggression necessary for this. He'll just helplessly send emails around, moving right into spam.

[ben_w]

Indeed.

I can give a vague, poorly written, poorly spelled request to the free version of ChatGPT and it still gives me a correct response.

As correct as usual at least (85-95%), but that's a different problem.

[sublinear]

Correct compared to what?

There's gonna be a lot of context implied in project docs based on previous projects and the LLM won't ask hard questions back to management during the planning process. It will just happily return naive answers from its Turing tarpit.

No offense intended to anyone, but we already see this when there are other communication problems due to language barrier or too many people in a big game of corporate telephone. An LLM necessarily makes that problem worse.

[ben_w]

Correct compared to what I ask it for.

Previous projects can be fed into LLMs either by context window (those are getting huge now) or fine tuning… but of course it's not a magic wand like some expect it to be.

People keep being disappointed it's not as smart as a human, but everyone should look how broad it is and ask themselves: if it were as good as a human, why would companies still want to employ you? What skills do you have which can't be described adequately in writing?