5 ms·
Unfortunately there is no way to combat this, and it seems like the end of the internet we once knew. Even with a “proof of human” technology, people could stil
by robmerki 1y ago
Unfortunately there is no way to combat this, and it seems like the end of the internet we once knew. Even with a “proof of human” technology, people could still just paste whatever AI-generated text they wanted, under their “real” account.
This has likely been going on since the first ChatGPT was released.
- computerthings 1y ago[dead]
- FinnKuhn 1y agoI am moderating an art subreddit with about 2m users and the AI „art“ spam is getting really annoying to moderate. I don’t even understand what the purpose of these accounts is.
- robertk 1y agoIf I read a comment that has any probability of changing my mind about a fact or opinion, I always go to the user page to check their registration date. No hard cut-off date but I usually discount or ignore any account >= 2020.
- sureglymop 1y agoSure but what about false positives? What about real accounts newer than that? This is a work around but not a good solution.
- mtndew4brkfst 1y agoThat's a sacrifice I'm willing to make, personally.
- blibble 1y agoyou can buy old accounts for like $3
- probably_a_gpt 1y agowait if they make a good point that has changed your mind, you discount it if you don’t like the source? so you prefer authority of the messenger over merit of the message?
- simonw 1y agoIn some case yes. If their argument is based on their own personal experience and it turns out that personal experience isn't true.
- hoseja 1y agoThere is a word of power that machines cannot utter.
- butlike 1y agosupercalifragalisticexpialadocious?
- giancarlostoro 1y agoPaid only platforms here we come.
- heyitsguay 1y agoThere are ways to combat it -- LLM-generated text leaves statistical fingerprints that appear to endure across big foundation model generations. I'm working on Binoculars with some UMD and CMU folks and wanted to test it out on this. I downloaded one bot's comment history (/u/markusrorscht). 30% of the comments rated human-like, compared to 95-100% of comments from a few human users. So, practically speaking, statistical methods are still able to provide a fingerprinting method, and one that gets better as comment history gets longer. And they can be combined with other bot detection methods. IMO bot detection will stay a cat-and-mouse game, rather than (LLM-powered) bots winning the whole thing.
- butlike 1y agoInteresting-- thanks for the insight!