Hacker News new | ask | show | jobs
by pixel_popping 52 days ago
There is bots everywhere, it has nothing to do with the platform, it has to do with attackers having an incentive to do mass account farming, no platform is secure against it.
3 comments

Super easy, just make a web-of-trust type of thing: messages are only visible to those who already vouched for you. Otherwise, you pay $0.01/per message/per user reached.
How would that solve it? If I pay, I can still push the content I want (factual or not) which is the same equivalent as paying for accounts directly.
By buying accounts, you are buying reputation. By paying for the posts, you are maybe paying for reach at first, but (a) it will be costly and (b) it does not guarantee that the reached ones will spread anything further.
With banning and deboosting they need to be very accurate but with filtering they can be more liberal in excluding
not really. there are easy heuristics to filter out bots with good confidence. FWIW i don't see any bots posting anything in my feed
Yes your individual feed isn't really relevant if we talk about the masses, Reddit accounts are for sale quite cheap, HN as well, X too and so-on, it's literally just a matter of means/methodology. If I want today to do 1000 random posts talking about a certain thing, I could.
my individual feed does matter because it shows that it is possible to curate something without bots which is obviously what XAI would do
congratulations, you have solved anti-scam. go make your billion since its easy.
its easy to solve at the offline level where you have time to filter out. in fact this is already done in pre-training by OpenAI and other companies.

you think its hard?

Yes I think it's hard.

OpenAI has already been proven to be easily gamed through very unsophisticated poisoning (fake information in a web page + an edit to a wiki page pointing at it, fake information in a reddit post), so I'm not sure we shoudl hold up their efforts at data cleaning as a gold standard.

https://www.sei.cmu.edu/blog/data-poisoning-in-ai-models-the...