Earlier quoted context omitted.
More interesting, IMO, is the general trend that started long before LLMs. The fact that "dump them" is the standard answer to any relationship question is a meme by now. The LLMs appear to be doing exactly what one would expect them to be doing based on their training corpus.
> The LLMs appear to be doing exactly what one would expect them to be doing based on their training corpus. That is not how full LLM training works. That is how base model pretraining works.
AI overly affirms users asking for personal advice
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Re: AI overly affirms users asking for personal advice
#532As an experiment, I recently asked an LLM to analyse the export of a text chat to uncover relationship dynamics.
Simply stating that I was one of the people in the chat would make the LLM turn the other person into the villain. None of that was visible if I framed the chat as only involving third party people.
Re: AI overly affirms users asking for personal advice
#533Earlier quoted context omitted.
Paired with the echo chamber effect voting systems create. Anything that affirms the biases of a majority of upvoters gets elevated, anything that contradicts it gets hidden, and so you not infrequently end up with ubiquitous nonsense that then further reinforces the echo chamber as they become self assured. Then real life intervenes, completely goes against the online zeitgeist, and they're all confused.
If you want to get poor fast, you can follow the most up voted advices on r/wallstreetbets.
Re: AI overly affirms users asking for personal advice
#534Re: AI overly affirms users asking for personal advice
#535Earlier quoted context omitted.
Depth? Introspection? I'd say these days the norm is to not simply shut down, but to become irrevocably and insidiously hostile, the moment someone hints at the existence of such a thing as "ground truth", "subjective interpretation", "being right or wrong" - or any of the bits and bobs that might lead one to discover the proper scary notion, "consensus reality". "What do you mean social reality is a constructed by t…
I think you will enjoy Guy Debord and Raoul Vaneigem.
+1 for Vaneigem, he has a nice cryptohistory of Nälkä; and you might also want to check out Villem Flusser.
Re: AI overly affirms users asking for personal advice
#536Re: AI overly affirms users asking for personal advice
#537This is especially problematic because of how easily (and unconsciously) one can bias LLMs with how the prompt is framed. As an experiment, I recently asked an LLM to analyse the export of a text chat to uncover relationship dynamics. Simply stating that I was one of the people in the chat would make the LLM turn the other person into the villain. None of that was visible if I framed the chat as only involving third…
If the posts talked about third party interactions (movie characters), they try to see everything from all the points of view. If nothing else, because it can be interesting to talk about. If instead the posts talk about personal interactions, then people go into advice mode. Your girlfriend's bad for you and cheating on you, dump her before she dumps you. Your neighbors are assholes, get a restraining order. Your boss is sabotaging you, stand up for yourself so you can get a promotion. When people talk about interactions you have had yourself, they always see the other person as the villain, unless you come across as so unlikable that they hate you and see the other person as the victim.
LLMs picked up on that, possibly.
Re: AI overly affirms users asking for personal advice
#538> They also included 2,000 prompts based on posts from the Reddit community r/AmITheAsshole, where the consensus of Redditors was that the poster was indeed in the wrong. Sorry, anonymous people on reddit aren't a good comparison. This needs to be studied against people in real life who have a social contract of some sort, because that's what the LLM is imitating, and that's who most people would go to otherwise. Obv…
i tested this pretty extensively actually. built a pipeline that asks the same question rephrased across multiple turns and tracks how much the model shifts based on user tone. even when you tell it to be critical, the moment the user pushes back with any confidence the model just folds. it's not a prompting problem, it's baked into RLHF. you're right that LLMs will poke holes in stuff when the conversation starts ne…
But I wonder how much of that comes from RLHF itself or just from the way token prediction works.
Re: AI overly affirms users asking for personal advice
#539Even as someone who (wrongly) believed that I had high emotional intelligence, I too was bit by this. Almost a year ago when LLMs were starting to become more ubiquitous and powerful I discussed a big life/professional decision with an LLM over the course of many months. I took its recommendation. Ultimately it turned out to be the wrong decision. Thankfully it was recoverable, but it really sobered me up on LLMs. Th…
Re: AI overly affirms users asking for personal advice
#540Earlier quoted context omitted.
I don't think this is necessarily that the advice is getting worse. My friends are pretty mature and stable people and I've found that they've had way more issues staying in relationships longer than they should've compared to breaking up earlier. Especially for relationships earlier in people's lives (where many people I know has a story about being in a relationship for way longer than they should've and seems ofte…
The US (and developed world more generally) is full of people living alone, suffering from loneliness, and increasingly trending towards widescale mental and psychological illness. This has correlated quite strongly with the trend going from 'just stick with it' and having large families to 'mature and stable' people still being in a dating phase, childless, in what I assume is a relatively late stage in life. At som…
Especially when you consider that the set of people asking Reddit of all places for dating advice are probably young and in bad situations (it seems like people in abusive relationships often ask the internet for advice because part of abuse is separating them from their loved ones in real life), then "stick with it" seems like the riskier statrgy generally.