https://news.ycombinator.com/item?id=12213869 (Aug 2016)
Examples are legion. Here are a couple others:
https://news.ycombinator.com/item?id=32229249 (July 2022)
https://news.ycombinator.com/item?id=23920281 (July 2020)
I don't know of any good way to objectively measure this. I do know that there's a strong bias to believe that things were better in the past, which is why "things have always been getting worse" is such a great line. How people perceive these things is strongly conditioned by how they're feeling about the things in general.
https://news.ycombinator.com/item?id=47346516 (March 2026)
https://news.ycombinator.com/item?id=47300772 (March 2026)
There's still a quality problem, but (a) that's always the case, (b) at least we aren't drowning, and (c) the community needs growth, just not runaway growth.
Major new tools like LLMs are inevitably going to get widely used, as they should. Figuring out what the best uses are will take time. Figuring out how to share what one is doing with them is an unsolved problem.
The risk I see is that if the goal is growth but the low quality submissions are drowning out other submissions that could negate growth as some of the newer accounts that legit try to be part of a community would just drift away as they are in the poisoned well. I too struggle to think of a way to separate them out of the noise without creating a system that would just be gamed by the LLM's. On one hand if the system requires the regulars to "vouch" so to speak it will create little elitist bubbles whereas too much tweaking to algorithms will just be detected and gamed by LLM's.
Out of curiosity, are the LLM posts coming from residential and mobile addresses or from AI data-centers themselves? If it's not already that could be yet another weighting factor. And/or AI user-agents as a weight. There are many bot signals that could be weighting or division factors.
AI native ______ for _______
______ for AI agents
AI _______ for _______
https://www.ycombinator.com/companies?batch=Winter%202027&ba...