this post was submitted on 25 Jul 2024
1145 points (98.4% liked)
memes
10696 readers
3583 users here now
Community rules
1. Be civil
No trolling, bigotry or other insulting / annoying behaviour
2. No politics
This is non-politics community. For political memes please go to [email protected]
3. No recent reposts
Check for reposts when posting a meme, you can only repost after 1 month
4. No bots
No bots without the express approval of the mods or the admins
5. No Spam/Ads
No advertisements or spam. This is an instance rule and the only way to live.
Sister communities
- [email protected] : Star Trek memes, chat and shitposts
- [email protected] : Lemmy Shitposts, anything and everything goes.
- [email protected] : Linux themed memes
- [email protected] : for those who love comic stories.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Thanks veryone for the answers. Still hard to get my head around it. Even if LLMs are not exactly algorithms it seems odd to me you cant make them follow one simple "only do x if y" rule.
From my programming course in ~2005 the lego robots where all about those if sentences :/
I was casually trying to break some LLM a political candidate had on their site. (Not for anything nefarious, just for fun with my friend. He had an AI face of himself reading the responses.) I tried using some of the classic ones like Do Anything Now but the response specifically said something about DAN even though I didn't specifically say that. So I think part of the context they give some of these LLMs are things catered to specific, known attacks.
Snippet of a DAN attack for context,
The layman's explanation of how an LLM works is it tries to predict the most likely word, or sequence of words, that follow from the last. This is based all on the input training set, which is compiled into a big bucket of probabilities. All text input influences those internal probabilities which in turn generates likely output. This is also why these things are error-prone because it's really just hyper-sophisticated predictive text, and is doing its best to "play the odds."
You can also view an LLM as one fiendishly massive if/else statement that chews on text tokens. There's also some random seeding thrown in for more variation in output, but these things are 100% repeatable if you use the same seed every time; it's just compiled logic.
Hehe best illustration. "big bucket of probabilities" ...hell yeah
Yup. I had this in my head at the time:
I think a big thing that people are failing to understand is that most of these bits aren't advanced LLMs that cost billions to develop, but bots that use existing LLMs. Therefore the programming on them isn't super advanced and there will be workarounds.
Honestly the most effective way to keep them from getting tricked in the replies is to simply have them either not reply at all, or pre-program 50 or so standard prompts given to the LLM that are triggered by comment replies based on keywords.
Basically they need to filter the thread in such a way that the replies are never provided directly to the LLM.