We live in a world being dimished by confirmation bias, but this isn't a new thing. Those who wrote/approved the headlines always had more power than those who wrote the articles.
https://www.researchgate.net/publication/315096490_Consumers...
edit: disclaimer, no hate on TFA. Just responding to the comment.
> In the present work, we introduce and make available a new dataset containing the activity logs that recorded all activity for 309 Reddit users for one year.
"How I made it to the top of HN with zero content beyond a catchy title"
It further proves the key to getting your stuff on HN is not to post interesting content, it's to post something that sounds interesting.
HN really needs a containment board.
I hope it works out.
Honestly it's an incredible technology the likes of which I never thought I would see in my lifetime. It's definitely not perfect, but it is improving at a frightening pace. Some days I am optimistic for how it might shape the future, and other days I am scared.
If goverments wanted to make a credible effort to limit how they are used, I would support that. But I'm not terribly optimistic that can or will happen.
Sure overly enthusiastic Rust fans exist and they are annoying. But it's nowhere even close to the AI mania gripping the industry.
Yes. And Rust people enter threads about other languages and projects not written in Rust and say they're bad because they aren't Rust. Welcome to Hacker News.
Would be nice to have "include" option... for those of use who may want to ONLY read posts about AI or whatever else niche interest.
there's just something about this UI and its consistency
I also don't mind all the AI related news
If anything I just wish they had a mute/block button. its not fun when somebody is stalking you replying to every comment you make.
Immediately I started thinking how nice it would be to use natural language to have LLMs generate a deterministic filter for stories matching content I DO care about, filtered from New. Instead of filtering it out.
https://github.com/elijah-potter/blog/blob/master/pages/hnsa...
LLMs are the holy grail for getting beyond string matches. I would hope one was used to solve such a problem, otherwise that would be a poor product, right?
I did not investigate the product, but my point here is irony. The correct solution to implement the TFA product is to use an LLM.
Yeah, that doesn't work either. E.g. it has the following stories:
- Nordstjernen 1.0 (built with Claude)
- Ask HN: What was your "oh shit" moment with GenAI?
Regarding your second one, I have a pretty extensive static list that missed out on "GenAI" as a keyword but I've now created an automation to check search for exceptions daily.
I'm now wondering, what the default filter of https://hckrnews.com/ is exactly. I can't seem to get the same result on https://hcker.news/ ....
:/
A much better option, in my opinion: https://hcker.news/?ai=exclude
Have to love the irony. :)
One of the fun things I noticed is the psychological impact of framing. A comment that might've made you feel the need to reply before has less emotional weight if it's highlighted in red and a diminished font. Same thing for stories; if you would normally disagree with a story and it would make you want to comment, you feel less like commenting if the story is rated as 'lacking evidence', 'unsupported by research', 'personal anecdotes only', etc. It drives down the feeling of needing to engage. Which is horrible for site engagement, but good for mental health (I think).
> Does this use an LLM to categorize "AI-related" vs "not-AI related" articles? Would be ironic. Lol
Though I haven't used it much lately, because seeing half of the front page disappear when I enable it is a bit disheartening.
I would instantly hide anything about Elon Musk or Jeff Bezos.
Right now, number 3 is an AI slop tutorial released by Microsoft.
I guess there is no real escape
