Comment by glenstein
1 day ago
There's an amazing viral twitter thread where someone claimed a real Monet painting was an AI generated imitation, and it got an avalanche of comments from people who claimed it was an obvious fake and a poor imitation at that.
It's not tracking a real thing as much as people would like to think.
This is exactly the problem. Most of the time when people criticise the output of genAI, what they’re actually commenting on is the ethics of AI rather than the output of it. And they then attempt to use the demonstration as a proof of their point rather than forming an unbiased opinion of the output based on its own merit.
Now I’m not saying there isn’t legitimate criticisms that can be made about the ethics of AI, I’m highly concerned about the problems that AI brings too. But that’s a separate argument entirely.
It’s a little like people who are pompous about expensive wine, whisky’s, etc and then fail blind taste tests (plenty of studies there too).
I've generally been very impressed with genAI artwork in "impressionist" styles. But thinking about how the diffusion models work, that seems like exactly what you'd expect them to be good at. Things that call for perfectly straight lines and constrained patterns (and explicitly symbolic elements, like text) seem to be considerably harder but apparently very doable now.
There is still obvious genAI slop being put out there all the time, and you can tell it's genAI slop because it's slop: even doing something at that level by hand would be more time and effort than anyone would bother putting in unless it's paid work that then justifies getting it right and doing it professionally. But now that the sloption exists, there's a flood of people taking it.
Prose, on the other hand, is another story. It became possible to produce "grammatically correct, academic-sounding and generally using words to mean what they actually mean" very quickly, but years later it's still rarely if ever good, it just goes through varying different quirks. Maybe part of this is that the training data can't properly reflect what the target audience was for various pieces of text. A lot of it, surely, is that many people are easily impressed by "grammatically correct, academic-sounding and generally using words to mean what they actually mean", and don't themselves have much of a sense for actually good writing.
I don't think this is true. There are people who claim everything is AI – maybe even to bolster their ego.
But for a lot of things I can with high probability discern between AI and human in every day appearance and I know many other people can as well. One of the things I look for is specifically certain types of extreme... not just flaws... just overall atrocity. When I read posts submitted to HN I often realize that something is bad writing before I can specify this to AI text. Pangram almost always agrees with me. Here is a recent example: https://news.ycombinator.com/item?id=49715657
I don't doubt that there are certain scoped tasks that certain models are quite good at. But in my every day life I constantly encounter AI slop that is so bad that I take it as a personal insult that someone thought it would be okay to subject me to it; to presume that I am so tasteless and numb and have no quality standard whatsoever.
I mean just look at the example posters at the beginning of the article. "The problem with these is not so much that they’re bad." Yes, yes it is. They are horrible. I cannot understand how anyone can describe them as anything but that.
> But for a lot of things I can with high probability discern between AI and human in every day appearance and I know many other people can as well.
It’s easy to say that when you already know the answer. But my point is people frequently misattribute stuff as being AI generated when it wasn’t. The GPs Twitter example is proof of this. And you only have to look at the number of times people accuse someone of being AI on HN because they happen to use em dash or an Oxford comma (or any other writing style that was part of the corpus models were trained on), and it’s pretty clear that “obvious tells” are just guesswork.
There was a study years ago where a group of individuals were given white wine with red food colouring, and they were asked to describe the wine. All the participants described plumb and other notes that are exclusive to red wines.
These weren’t dumb people. And the people who claim to spot “obvious AI” aren’t dumb either. It’s just very easy to identify tells if you believe you already know the answer. Unfortunately that’s just how fucked up our human psychology is.
> One of the things I look for is specifically certain types of extreme... not just flaws... just overall atrocity.
So, please forgive me, but this means that you are good at finding out some patterns in AI output. There are always a lot of false positive and negatives, and I haven’t found a convincing study showing that people are good at finding AI in general.
What helps is that the market is very concentrated so if you know GPT-isms and Claude-isms that’s basically the current situation covered. It does not mean that you can reliably identify AI in general.
How do you know you can discern AI vs human with high probability? You need some external source of truth to judge that, otherwise all you know is that you can discern bad, obvious AI. See also https://en.wiktionary.org/wiki/toupee_fallacy
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They are pretty shit, but the main problem is that they are the generic style of the model. So that’s what everyone gets by default. If they were a one off they’d still be bad, but at least unique.
In my world view, the phrase "People are stupid" explains almost everything. Very few people are actually able to think for themselves. The vast majority are basically just sheep, they think whatever the media, their colleagues, friends etc tell them to think. They don't fact check, they don't think critically, they can't understand a well reasoned argument, they basically just believe things based on how much they like whoever said it. They won't accept evidence that disproves those beliefs.
They don't care about the truth, it's all just about being part of the right herd.
This just sounds like an im14andthisisdeep rant. Everyone is stupid, except you, of course, who are enlightened and detached from "the herd."
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Such a world view will justify any belief, because the internet will give you ample supply of the dumbest, most ill-considered opposition to any belief you hold.
Doesn't guarantee there isn't a steel version of their straw out there that you're deliberately ignoring.
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Nobody has time to fact check every single fact we need to act on.
Have you read every single study about the last vaccine you took and what the positives and negatives are and where potential problems are and so on? Of course not, we trust that the experts have done enough. Same with learning physics or driving over a bridge and so many other things.
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I agree completely.
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Yes, I think this is exactly right. The labelling of a thing as “AI Generated” or “AI Assisted” makes the viewer perceive it as worse in quality. And they really do think it’s worse.
It’s similar to a well known finding about price: people value things that are more expensive more, and tend to think they are of higher quality. You can give people the same thing for a high price or for free and they’ll say the high priced one is amazing the free one is lacklustre.
It’s like an optical illusion driven by labelling.
By many people’s criteria it automatically is worse, because part of what they value in art is thinking about the artist and their intentions behind their creation.
Similarly people may view an IKEA book stand as worse quality than one built by hand even if the hand built one has flaws. Or they might view a microwaved meal as worse than that created by a home chef.
People value the human intention and care that goes into creations. Without that it’s worse even if the output is fundamentally the same.
A drawing by my young niece may not have the same finesse as an AI generated one but I like it a whole lot more
>By many people’s criteria it automatically is worse, because part of what they value in art is thinking about the artist and their intentions behind their creation.
I think that's true enough for what it is but, as the other commenter also noted, a bit of a different topic here. The Monet example shows that people work backward from AI to direct conclusions about the quality of the work itself, which isn't the same as agreeing a work is by all appearances equivalent to Monet but lacking in underlying deliberation.
One can inform the other to be sure but that conversation exists in parallel with another conversation that's a straight one-shot assessment of quality.
> By many people’s criteria it automatically is worse, because part of what they value in art is thinking about the artist and their intentions behind their creation
That’s a bit separate to what I’m talking about, but I don’t think there are many of these people. I think this whole thing is about AI anxiety coupled with American social norms, and as soon as one of those things changes the artists are going to be left out in the cold again.
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Yeah, but the issue is we are getting constantly exposed to a barrage of really low quality obvious AI generated content. Except a lot of people seem to not know that it's AI and interact with like it's real. The people posting it are being reward by monetization platforms.
Low quality baiting content was a problem before but the barrier to entry has been significantly reduced and the.amount of content is growing quickly.
You can see it here in the discussions for about half the stories. It gets sidetracked into people talking past each other.
The thing is, people are really bad at judging this, except for the most stereotypical cases. You have people crying wolf the moment you use "genuinely" or a dash. Different people use different criteria for their personal heuristics and the result is threads full of tedious, completely irrelevant comments from people in a crusade. People don’t seem to realise that we are very good at tricking ourselves and that a lot of the patterns we think we recognise are actually just noise.
I've seen two resdit threads where people insisted the hands were wrong, and people took photos of their hands in the same pose.
But, then, people did this for digital editing before. Insisted there were "clear signs of photoshop", from people who never opened that app.
Earlier HN discussions about it (both got flagged):
https://news.ycombinator.com/item?id=48134400
Unsurprising that they're both flagged. HN commenters really, really don't like to think about a world where they can't tell the difference between real and AI.
One commenter really nailed it[1]: "We didn't get worse at judging art. We just got better at doubting everything."
1: https://news.ycombinator.com/item?id=48158160
I’d say it’s more about confronting the ways in which art is just posturing, hype, and status games, and what it’s like to find out you’re in an “Emperor’s New Clothes” situation.
Makes sense, no? That’s a pretty terrible world
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Not all HN commenters; it's only a tiny extremist faction, which unfortunately is also the most vocal about it.
In fact it’s only tracking the quality of the produced image
Every single person I’ve asked, and I’ve asked hundreds, say that knowing it was AI irrespective of anything else was enough to think it was bad.
There’s millions of genai images that people aren’t commenting on because they don’t know it’s AI.
> knowing it was AI irrespective of anything else was enough to think it was bad.
That's prejudice.
The definition of prejudice requires the judgment to be unfair.
Do you think it’s unfair for people to dislike AI generated art based on their principles?
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Which is extremely socially acceptable currently and I don’t see that changing anytime soon
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Monet got Seinfeld Effected.
https://knowyourmeme.com/memes/seinfeld-effect
> claimed a real Monet painting was an AI generated imitation
This is like the transvestigator creeps who think they can tell with 100% accuracy who is trans but they are regularly fooled by pictures of cis women when seeded with the notion that they might be trans.
Some AI is obvious. Some much less so, and a lot of non-AI content is being caught up in the amateur dragnets.
One version of this I really loved was some viral clip that I believe was like a local newscast where one guy who really seemed to dislike vegan products was challenged to tell the difference between a real meat product and a vegan alternative, I think sausage or something. And he made a big performance of how instantly he recognized the meat in comparison to the vegan product only to be shocked to learn, after he confidently declared that one of the two dishes was meat, that both dishes were plant-based.
If nothing else, simply as a matter of self respect you've got to make your peace with a certain amount of healthy uncertainty if even just to avoid making a fool of yourself.
But more importantly, it's important to be honest with yourself about what you actually know versus what you're very motivated to believe. Because I think AI equals bad is poisoning some people's ability to talk about this in a healthy way.