| ▲ | MasterScrat 3 hours ago | |||||||
I have mixed feelings (as in, I'm unsure how to feel) about projects where the code, the README and the HN/Reddit posts are mostly AI-generated. I feel the frustration of reading "slop", but on the other hand the projects that surface do usually bring something useful to the table. Should we simply judge the submission based on its technical merit? Why do I feel annoyed that an otherwise cool project uses typical LLM prose? For how long will we be able to recognize LLM-generated text, and what happens when we can't? | ||||||||
| ▲ | Aurornis 3 hours ago | parent | next [-] | |||||||
Show HN is (or was) one of my favorite parts of this site. I read a lot of submitted projects. The people who don’t even take 30 seconds to write their own comments aren’t here to share their knowledge or discuss the project. It’s self-advertising. They might be following instructions from the LLM to post it here. There was a project a couple days ago that still had the AI-generated marketing plan in git which instructed the person to post it here and then on some subreddits, including marketing copy to include. The projects often don’t work, too. Remember the guy who claimed to have uncovered a multi billion dollar Meta influence campaign? When I read the documents they had output from Claude saying that it failed to access the documents, but then it guessed what the document might include. The whole report was full of this, but it was posted here and upvoted as if someone had done deep research. | ||||||||
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| ▲ | ThrowawayR2 2 hours ago | parent | prev | next [-] | |||||||
I'm not willing to give the benefit of the doubt to AI generated submissions anymore because the technical merit has too often turned out to be false, e.g. https://news.ycombinator.com/item?id=47471647 | ||||||||
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| ▲ | tech4bot 2 hours ago | parent | prev [-] | |||||||
Yes, I used AI to help with the README and wording. But the project itself came from actual testing: opening the device, wiring UART, reading logs, understanding the boot flow, adapting the DTB, and debugging hardware issues. For Wi-Fi, I even contacted the chip factory. They didn’t answer at first, so I wrote again in Chinese with AI’s help and eventually got the drivers. We are not yet at the point where you give AI a tablet and it magically returns a working image. AI helped a lot, but it also introduced bugs more than once. The real work was still testing, breaking things, fixing them, and repeating. I posted it here because I think the project is useful and could attract people who want to build on it. All the devices should be more open, repairable, and reusable, so we can actually own the hardware we buy. | ||||||||