alt Hacker NewsHaving a concept is completely different, their unwillingness to dive into implementation cannot be blamed on the "techies". I would wager that the same people who were pitching unrealistic app ideas then are still not trying to make apps using AI.
Having a concept is completely different, their unwillingness to dive into implementation cannot be blamed on the "techies". I would wager that the same people who were pitching unrealistic app ideas then are still not trying to make apps using AI.
What AI has largely changed is how the communication barrier (or perception thereof) is dealt with between two sides: one which consists of those who perceive gatekeeping or attribute their lack of substantive progress to it, and the other side which consists of the time, resources, and skills the former feels entitled to or indebted towards.
I’ve had a running theory for a few years now that some tech folks are more open to receiving an error message from a compiler or other tool, than they are to critical feedback from a peer. If they’re blocked and finally have exhausted their other avenues (pre-LLM: web searches, forums, etc), they’ll reluctantly engage with a peer, and do so with extremely limited patience.
The first paragraph of this reply is extending that theory to non-tech —-> tech, but replace compilers with LLMs that _appear_ to be more useful (or at least busy) working with what limited context you provide them, especially when it’s insufficient.
It won’t quite tell you your app idea is unrealistic or that the implementation is nearly impossible, but after burning a bunch of time and tokens, those people will eventually get the point.
Or reluctantly reach out to a tech person anyway.