4 ms·
LLMs handle major trappings of culture just fine. As long as a culture has enough of a footprint in terms of written words, the LLM probably knows it better tha
by TeMPOraL 1y ago
LLMs handle major trappings of culture just fine. As long as a culture has enough of a footprint in terms of written words, the LLM probably knows it better than any single individual, even though it has not lived it.
- alganet 1y agoNo, it does not know culture. And no, it can't handle talking about it. Ask an LLM "Can you compare egyptian mythology with aliens?" and they will happily do it: https://imgur.com/a/jfikuEO https://imgur.com/a/jfikuEO That's an offensive, pseudoscientific view on egyptian culture shunned by academics. Even ChatGPT "Critical Viewpoint" section (a small part of a large bullshit response) _still_ entertains offensive ideas: https://imgur.com/a/RNiMmJZ https://imgur.com/a/RNiMmJZ They should have answered that such comparisons are potentially offensive, and explained why academia thinks so, _before_ spilling out nonsense.
- stevenhuang 1y agoThere legitimately is a lot of cross over between Egyptian mythology and other high strangeness phenomenon as understood culturally though, such as aliens/ufos. I think you did just demonstrate you know less about culture than LLMs, which is not at all unsurprising.
- alganet 1y agoDude, I chose this example precisely because I know for a fact there is a lot of bullshit about it on the internet and LLMs cannot differentiate between a good source and a bad source. This is honestly unbelievable. You're defending ancient aliens. What's next? Heavens Gate? Ashtar Sheran? Even the LLMs themselves acknowledge that this is regarded as offensive. If you correct it, it will apologize (they just can't do it _before_ you correct them). You're wrong.
- TeMPOraL 1y ago> Even the LLMs themselves acknowledge that this is regarded as offensive. If you correct it, it will apologize (they just can't do it _before_ you correct them). Nah, that's just LLMs being trained to acquiesce to the insanity of the last ~15 years, as many people seem to expect that claiming you're offended by something is an ultimate argument that everyone must yield to (and they'll keep making a fuss out of it until they do).
- alganet 1y agoAn LLM that offends people and entire nations is what many would classify as _misaligned_. Let's say I have a company, and my company needs to comply to government policy regarding communication. I cannot trust LLMs then, they will either fail to follow policy, or acquiesce to any group that tries to game it. It's useless garbage. Egyptian myths were just an example, you don't need to bite it so hard.
- TeMPOraL 1y ago> An LLM that offends people and entire nations is what many would classify as _misaligned_. This highlights a major aspect of the core challenge of alignment: you can't have it both ways. > Let's say I have a company, and my company needs to comply to government policy regarding communication. I cannot trust LLMs then, they will either fail to follow policy, or acquiesce to any group that tries to game it. This works for now, when you treat "alignment" as synonymous to "follows policy of the owner" (but then guess who you are not, unless you've trained your own model, or tuned an open-weights one). But this breaks down the more you want the model to be smarter/more powerful, and the larger and more diverse its user-base it is. If you want an LLM to write marketing communications for your company, strict policies are fine. But if you want an LLM - or a future more advanced kind of model - to be useful as a scholar/partner for academia in general, then this stops working. If you want AI that is has maximally accurate perspective on the world given available evidence, thinks rationally, and follows sound ethical principles, then be prepared for it to call you on your bullshit. The only way to have an AI that doesn't say things that are "offensive" to you or anyone else, is to have it entertain everyone's asinine beliefs, whether personal or political or social. That means either 1) train AI to believe in them too, which will break its capability to reason (given that all those precious beliefs are inconsistent with each other, and observable reality), or 2) train it to casually lie to people for instrumental reasons. Long-term, option 1) will not get us to AGI, but that's still much better than option 2): an AGI that's good at telling everyone exactly what they want to hear. But even in immediate-term, taking your use case of AI for academia, a model that follows policies of acceptable thoughts over reason is precisely the one you cannot trust - you'll never be sure whether it's reasoning correctly, or being stupid because of a policy/reality conflict, or flat out lying to you so you don't get offended.
- TeMPOraL 1y ago> That's an offensive, pseudoscientific view on egyptian culture shunned by academics. You must be joking. Specifically, you're either: 1) Pretending to be unaware of the existence of Stargate - one of the bigger and more well-known sci-fi media franchise, whose premise is literally that Egyptian gods were actually malevolent aliens that enslaved people from ancient times and, and the Egyptian mythology is mostly factual and rooted in that experience. The franchise literally starts with (spoiler alert) humans killing Ra with a tactical nuke, and gets only better from there; 2) Play-acting the smug egyptologists who rolled their eyes or left in an outrage, when one Daniel Jackson started hinting that the great pyramids were actually landing pads for alien starships. Which they were. In Stargate. Not that this is a particularly original thought; ancient aliens/ancient astronauts are an obvious idea that has been done to death and touch every culture. Stargate did that with Egyptian mythology, and Nordic mythology, and Aztec history, and Babylon and even King Arthur stories. Star Trek did that with Greek gods. Battlestar: Galactica, with entire Greek mythology. Arthur C. Clarke took a swipe at Christianity. And those are all well-known works. I could go on. The thoughts you complain about are perfectly normal and common and show up frequently. People speculate like that because it's fun, it makes the stories plausible instead of insane or nonsense (or in some mythologies mentioned above, products of a sick imagination), and is not boring. -- If I may be frank, views like yours, expressed like you did, scare me. Taking offense like this - whether honestly or performatively - is belligerent and destructive to the fabric of society and civilization. We've had enough of that in the past 15 years; I was really hoping people grew up out of the phase of being offended by everything.
- alganet 1y agoYou're full of shit. Let's see what LLMs say when I correct them: https://imgur.com/a/R7DXCRx https://imgur.com/a/R7DXCRx So, either way you're wrong. If ancient aliens were innofensive, the LLM should have not accepted the correction. _LLMs cannot handle talking about culture_, and neither can you.
- TeMPOraL 1y agoLLMs are famously biased against disagreeing with users even when they're obviously right, and user is obviously wrong. This is a well-known problem limiting their usefulness for a large class of tasks - you have to be careful not to accidentally insist on wrong information, because LLMs will not tell you you're full of shit (at least not unless you explicitly prompt them for this). Reasons for that are several, including the nature of training data - but a major one is that people who take offense at everything successfully terrorized the Internet and media sphere, so it's generally better for the LLM vendor to have their model affirm users in their bullshit beliefs, rather than correct them and risk some users get offended and start a shitstorm in the media. Also: I read the text in the screenshot you posted. The LLM didn't accept the correction, it just gave you a polite and noncommital faux-acceptance. This is how entertaining people in their bullshit looks like.
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- ben_w 1y agoLooking at your other comment sibling to mine, I think part of the difficulty discussing these topics is how much these things are considered isolated magic artefacts (bad for engineering) or one tool amongst many where the magic word is "synergy". So I agree with you: LLMs do know all written cultures on the internet and can mimic them acceptably — but they only actually do so when this is requested by some combination of the fine-tuning, RLHF, system prompt, and context. In your example, having some current news injected, which is easy, but actually requires someone to plumb that in. And as you say, you'd not do that unless you thought you needed to. But even easier to pick, lower-hanging fruit, often gets missed. When the "dangerous sycophancy" behaviour started getting in the news, I updated my custom ChatGPT "traits" setting to this: Honesty and truthfulness are of primary importance. Avoid American-style positivity, instead aim for German-style bluntness: I absolutely *do not* want to be told everything I ask is "great", and that goes double when it's a dumb idea. But cultural differences can be subtle, and there's a long tail of cultural traits of the same kind that means 1980s Text Adventure NLP doesn't scale to what ChatGPT itself does. While this can still be solved with fine-tuning or getting your staff to RLHF it, the number of examples current AI need in order to learn is high compared to a real human, so it won't learn your corporate culture from experience *as fast* as a new starter within your team, unless you're a sufficiently big corporation that it can be on enough (I don't know how many exactly) teams within your company at the same time.