Mostly 'cos I was trying to track whether the surfeit of AI stuff was real or my imagination - when I did it I was consistently getting four to eight AI stories per front page view. Right now there's only one. The categorisation is very loosey goosey, but I think it's reflecting something real there.
I'm currently on a delightful honeymoon with my wife (6 years after the wedding because of covid and procrastination), but when I get back I intend to add some tracking of category stats over time as well as in-the-moment.
3vidence 2 hours ago [-]
Are the tags themselves AI generated? they are quite funny in how specific they get e.g. "gaming culture" as the tag.
Also some tags include quotes and other don't haha.
But yeah you should respond to the other comment asking someone to use an LLM to show the trend in AI topics.
dcminter 1 hours ago [-]
> Are the tags themselves AI generated?
Yes. The full explanation's on my blog and the code's public in my GitHub repo btw.
The main nuisance is that it will use inconsistent synonyms, so an article might be "ai" or "artificial intelligence" or "llms" without obvious differences in the topic.
When I get around to the stat-tracking I might do a Show HN or something, although it feels a bit frivolous for that.
> Also some tags include quotes and other don't haha.
Yeah, that kind of thing is a nuisance too. I'll add some more scrubbing rules to clean questionable characters out when I get back.
I am waiting for someone with an AI tool that visualises the actual trend.
18 hours ago [-]
csomar 2 days ago [-]
It coincided with Claude Code but now that the novelty has wear off, there isn't much to interest the public with.
ChrisArchitect 2 days ago [-]
nah you're off there, it's as bad if not still getting increasingly worse actually based on common things like AI, LLM, etc topics. :-\ Perhaps there's just some more attention/discussion going on in the other submissions also so it feels a bit better.
3vidence 2 days ago [-]
Interesting! Good to know other people's experiences, yeah maybe my sampling is just off
https://hntags.com
Mostly 'cos I was trying to track whether the surfeit of AI stuff was real or my imagination - when I did it I was consistently getting four to eight AI stories per front page view. Right now there's only one. The categorisation is very loosey goosey, but I think it's reflecting something real there.
More details on the logic: https://paperstack.com/hntags/
I'm currently on a delightful honeymoon with my wife (6 years after the wedding because of covid and procrastination), but when I get back I intend to add some tracking of category stats over time as well as in-the-moment.
Also some tags include quotes and other don't haha.
But yeah you should respond to the other comment asking someone to use an LLM to show the trend in AI topics.
Yes. The full explanation's on my blog and the code's public in my GitHub repo btw.
The main nuisance is that it will use inconsistent synonyms, so an article might be "ai" or "artificial intelligence" or "llms" without obvious differences in the topic.
When I get around to the stat-tracking I might do a Show HN or something, although it feels a bit frivolous for that.
> Also some tags include quotes and other don't haha.
Yeah, that kind of thing is a nuisance too. I'll add some more scrubbing rules to clean questionable characters out when I get back.
Repo: https://github.com/dcminter/hntags.com