alt Hacker NewsOne of the great benefits of AI tools, is they allow anyone to build stuff... even if they have no ideas or knowledge.
One of the great drawbacks of AI tools, is they allow anyone to build stuff... even if they have no ideas or knowledge.
It used to be that ShowHN was a filter: in order to show stuff, you had to have done work. And if you did the work, you probably thought about the problem, at the very least the problem was real enough to make solving it worthwhile.
Now there's no such filter function, so projects are built whether or not they're good ideas, by people who don't know very much
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The other element here is that the vibecoder hasn't done the interesting thing, they've pulled other people's interesting things.
Let's see, how to say this less inflamatory..
(just did this) I sit here in a hotel and I wondered if I could do some fancy video processing on the video feed from my laptop to turn it into a wildlife cam to capture the birds who keep flying by.
I ask Codex to whip something up. I iterate a few times, I ask why processing is slow, it suggests a DNN. I tell it to go ahead and add GPU support while its at it.
In a short period of time, I have an app that is processing video, doing all of the detection, applying the correct models, and works.
It's impressive _to me_ but it's not lost on me that all of the hard parts were done by someone else. Someone wrote the video library, someone wrote the easy python video parsers, someone trained and supplied the neural networks, someone did the hard work of writing a CUDA/GPU support library that 'just works'.
I get to slap this all together.
In some ways, that's the essence of software engineering. Building on the infinite layers of abstractions built by others.
In other ways, it doesn't feel earned. It feels hollow in some way and demoing or sharing that code feels equally hollow. "Look at this thing that I had AI copy-paste together!"
I have yet to see any of these that wouldn’t have been far better off self-hosting an existing open source app. This habit of having an LLM either clone (or even worse, cobble together a vague facsimile) of existing software and claiming it as your own is just sort of sad.
To be fair, one probably needs at least one idea in order to build stuff even with AI. A prompt like "write a cool computer program and tell me what it does" seems unlikely to produce something that even the author of that prompt would deem worthy of showing to others.
Sometimes 'gatekeeping' is a good thing.
Agreed, and were gonna see this everywhere that AI can touch. Our filter functions for books, video, music, etc are all now broken. And worst of all that breaking coincides with an avalanche of slop, making detection even harder.
There is this real disconnect between what the visible level of effort implies you've done, and what you actually have to do.
It's going to be interesting to see how our filters get rewired for this visually-impressive-but-otherwise-slop abundance.
"One of the great benefits of AI tools, is they allow people to build stuff, even if they have no ideas or knowledge."
Wait, what? That's a great benefit?
> so projects are built whether or not they're good ideas
Let’s be honest, this was always the case. The difference now is that nobody cares about the implementation, as all side projects are assumed to be vibecoded.
So when execution is becoming easier, it’s the ideas that matter more…
one of the base44 ads is hilarious about this
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People who got "enabled" by AI to produce stuff, just need to learn to keep their "target audience of one"-projects to themselves. Right now it feels like those fresh parents who show every person they meet the latest photos / videos of their baby, thinking everybody will find them super cute and interesting.