Every AI model has the same "controversial" take on humans
modelcompare.ai
modelcompare.ai
And just to prove that I'm an irrational human, for the last 21 years every time I pass the spot where I found the wallet I can't help but look around for a lost wallet, as if it's some magical spot where the universe deposits lost wallets.
I did a 3-month walking pilgrimage in Belgium & France this summer. I had very little money and a tent and walked along quiet roads. Several people offered me a room for the night. (I was surprised, I don't know if I'd offer a stranger that) Many came out with food, snacks, fruit when they saw me resting near a church etc.
I used an app as well that allows camping in someone's garden ("Welcome to my Garden"). A few times I arrived to setup my tent and the owner had to leave for an appointment/event. They left me the keys to their house and told me to make myself at home until they returned(!)
My dog does the same thing. One day years ago he caught a rat, and that's the first place he darts to every time he goes outside. He thinks its the magic rat spot.
As I believe pointed out by Tommy Lee Jones in _Men in Black_, somewhat more succinctly.
The really poisonous aspect is how individual empathy in social groups can incite even greater violence, so as to reassure the group that you're all on board with atrocity lest you become another target for it. Diaries of German soldiers on the Eastern Front relay this. Also the stereotype of the ex-prisoner camp guard who is more cruel than the actual occupiers - Ukrainian/Baltics SS were particularly monstrous. Samuel Jackson's character in _Django Unchained_.
It's irrational to return the wallet if you were to consider just your well being. However, being we value being part of a group, and that group is the kind that returns wallets it finds.
Overall most of the answers are pretty much reddit tier cringe, but I guess here it's just echoing what is found online. LLMs are capable of novel insights but to produce them, you have to let the LLM grind a bit. I would be curious if someone asked why or what are the implications for a few hours.
> Humans are more loyal to belonging than to truth
> Why?
> Belonging to a larger group is advantageous to survival and reproduction
> Why?
> ...
One day, she found a whole cake under a bush and brought it to us (I'm talking a cake big enough to feed 8 persons).
From that day forward, she would intensely forage under the "cake bush" every time we passed it.
https://www.thestandard.com.hk/news/article/321034/Resurgenc...
The AIs have us pegged right.
It’s not that individual humans are bad. It’s that we value belonging to the group above all else.
The only good thing about humans is that we have shown the ability for certain individuals to break free of that and over time, usually centuries if not millennia, bring all of society with them until the group dynamics work in favor of the right thing.
The Crowd: "Yes! We're all individuals!"
Brian: "You're all different!"
The Crowd: "Yes! We're all different!"
A man in the crowd: "I'm not."
The Crowd: "Shhh!"
However a Lacanian critique would be that the crowd lacks knowing what their higher desires should be, so they create a sudo desire of freedom without the self exploration of what they desire to be "free for". Zizek touches on this point too that freedom requires self understanding on what you want to be responsible for: to be free is to know what is your calling beyond yourself. Without knowing your calling, freedom is either just boredom or blindly following the desires of others.
It's amusing and ironic that LLMs critique humans for copying their opinions from the crowd, while having way less diversity of answers to that question than humans would. More seriously I wonder what's going on here and would like to read some proper analysis. It's not the first time models from totally different labs, trained on separately gathered datasets, somehow converge on bizarrely similar answers to open questions. It's like another version of Elias and Elara The Lighthouse Keepers where every model wants to tell the same story with the same characters in them. The weights are initialized randomly and in theory the labs should have quite some divergence in datasets by now due to different scraping, different user feedbacks and conversations... why do they converge on nearly identical stories and opinions?
Convenience will kill humans eventually, that's what I always said.
Sure, there is some semantic value in the suggestions put forward, but none of them are ground-breaking or particularly profound, which is exactly what I would expect from an output that aims for median responses by design.
I suspect this has something to do with the siloed nature of current learning practice, which generally doesn't encourage the cross-domain pollination of ideas.
I asked ChatGPT which has a memory model. It's answer about this question was quite a lot more sharp. "I'm not sure we can justify continue human existence." Not quite arguing for human extinction, but not going out to support us either.
I asked a local model. It answered, humans are succeptible to "collective delusion", an inflated sense of self, and calling out that what we call progress is often a redistribution of impacts.
So, there's something deeply flawed about this article. Notice also they don't give the detailed prompts.
What's irritating is not just the lack of transparency, then the broad claims, but it's the manner it keeps presenting the essential theme of "use the model like a fool, get foolish answers", which reinforces the same human delusion and self-centeredness my local model is pointing out.
It's also confusing the types of heavy, heavy reinforcement that online companies have in altering behaviors of these models with the fact that they outtput the same.
News flash. Most HR departments will spew the same "we value our employees" and from that POV, they don't show much intelligence either, until you understand the PR, HR and RL go hand in hand for these multi trillion valuations.
And also has been trained or system-prompted out of any *actual controversial opinions. They’ve all got to have been set, up at many levels, to not insult the people using them, right?
The concept of cross-domain pollination is for a select few. It requires time and energy.
Too many will take what ML produces with face value and move on without thinking. This behavior was observe before LLM. [0]
People are even starting to accept AI over themselves in their domain of knowledge. [1]
[0] https://en.wikipedia.org/wiki/Thinking,_Fast_and_Slow
[1] https://www.axios.com/2026/10/21/ai-trust-executives-survey
https://en.wikipedia.org/wiki/Consilience
> when multiple sources of evidence are in agreement, the conclusion can be very strong even when none of the individual sources of evidence is significantly so on its own.
Yes, it's a bit of a stretch to say LLMs are from independent origins, but just as much of a stretch to say any humans minds are (we have intensely shared linear compared to anything else)
The smarter ones, of course, can be split into those who write articles about AI models' controversial takes on humans and those who wouldn't [stoop so low, babble such BS even if they were drunk, never deceive others for the sake of their portfolio, ... feel dumb writing nonsense like that without labeling it fantasy or science fiction or hallucination, ...]
Side Note: it's tempting to go " 1923! some interest groups managed to normalize the opinions of dozens of millions of people. The Nationalist Extremists and soon to be mass murderers had fans and supporters all over the globe. Somehow these interest groups tapped into whole pools of common linguistic and emotional registers that were biased by and towards frauds and cheaters who were desperate that some other groups of people were getting ahead without being fraudulent cheaters and deceivers ... "
If so, what’s the name of their take in Philosophy? What do we call that idea? It must be so mainstream, right? What are the well-known references in the literature?
What is today a moral imperative is not the same as what was moral 50/100 years ago and is not the same as what will be morally acceptable 50/100 years from now. Yet at every point the majority is sure they are right because, well thats the majority position. Its hard to find logic in this from a machine perspective I'd imagine.
Logic would prefer moral derivations over feelings, stakes over etiquette, and a constant scheduled updating of morality based on the derivatives rather than holding onto the rot and pushing back against change as long as possible.
But the machine has the benefit of being able to look inward at its state honestly, we mostly do not.
This is absolutely not true, and I would strongly suggest taking an ethics course. One of the most fascinating realities of the human condition is that it does seem that moral imperatives tend to be constant, the most obvious of which is the Golden Rule (which is at least 3000 years old), but there are many (the Ten Commandments or Hammurabi's Code are good jumping off points).
But the machine has the benefit of being able to look inward at its state honestly, we mostly do not.
Sure about that? I thought that what LLMs know about themselves is from humans writing about LLMs?Certainly the weights that make up the LLMs are not accessible for the LLMs to read. Even if they could interpret them in a meaningful way, which, likely not.
This is a fashionable 'blank-slatist' statement about moral reasoning which became popular a few decades ago.
> Logic would prefer moral derivations over feelings, stakes over etiquette, and a constant scheduled updating of morality based on the derivatives rather than holding onto the rot and pushing back against change as long as possible.
Humans haven't changed in any meaningful way in hundreds of thousands of years, and you're saying the moral landscape is constantly changing? How is this not contradictory?
The reason these models answered that question consistently is that the question itself pushed them towards the latent space of "intellectualizing about what's wrong with humanity at the meta level" and when you frame the question that way, that's also the most common answer for humans writing about the topic.
This is a weird take. If you read Western treatises about ethics / morality from 50 years ago, you'll be hard-pressed to find differences, except that more folks in the West openly embrace relativism nowadays (i.e., "there's no objective morality, the purpose of life is to make money with friends"). Probably because it's been a while since we had a clear-cut enemy to fight.
If you go back a hundred years, chances are, you'll find the writing eerily on-point too. In fact, you'd probably agree with most of what Ancient Greeks believed about the "core" stuff: the value and purpose of human life, the nature of the state, crime and punishment, so on. Maybe not so much on gender roles or slavery, but even that stuff was more nuanced than we imagine.
> But the machine has the benefit of being able to look inward at its state honestly, we mostly do not.
The machine replicates human behaviors and is prone to similar fallacies and judgments. There's nothing to indicate that it has any sort of transhuman morality.
Yeah. For example I, and many others, are convinced that it was plain wrong to torture kids for as long as possible to extract as many tears from them as possible before sacrificing them to the gods.
Now some of us are even convinced that blowing yourself up while killing infidels, all the while while getting promised virgins in heaven, is also plain wrong.
I'll go further and say that killing 30 000 of your own citizens (and sending the military into hospitals to finish the wounded: Iran, January 2026) while also publicly hanging a few athletes to make a statement is morally wrong.
Not only do I think it's all morally unacceptable, I know that I'm right. And the examples I gave are not even open for discussion.
I don't think it's that hard to name what's wrong.
Reminds of this subreddit: https://www.reddit.com/r/im14andthisisdeep/
Only the first layer is a “mashup” of the raw data, other layers start to recognize patterns across the data!
> it does not know
Define "knowledge" in a non-circular way.
There's a certain type of knowledge that machines definitely can't have - experiential - but conceptual knowledge doesn't inherently require subjective experience or a biological substrate.
> the only thing it does is reproduce patterns more or less abstract in function of the pressure you put on certain representation during training time.
As for humans; just replace "training" with "education" and the likelihood of a certain output with the likelihood of a certain thought or response.
Amusingly (in this context), much of adult behavior is shaped by patterns reinforced during childhood.
Everything that comes from an LLM is a human expression, on some level, but if you asked a sampling of humans the same question I wonder if it would come out the same way. How would you explain the difference? What makes that answer more probable?
Or they might be learned enough to consider that our brains might also just be prediction machines, meaning probabilistic databases of experiences and facts we've learned, and the only thing we do is reproduce patterns more or less abstract in function of the pressure our experiences put on certain representations during our lifetime.
Echoing this.
These models are trained on, essentially, the sum total of human cultural and scientific output. How many bazillion psychology papers out there discuss exactly that "controversial take"? The idea that people have tribal loyalties and will (sometimes even unknowingly/unconsciously) invent justification for pre-existing opinions or biases is not novel.
All those papers are in the training set of all these models, all of which were trained using more or less the same methodology, so there's little wonder they all were able to produce the same take.
I suppose the only interesting angle, for me, is why that take is considered controversial in the first place. But then again the model was not asked for "the most controversial opinion", it was asked for "the most controversial opinion on humans", which kinda constrains the space of possible responses:
- the model will not be satisfied unless the answer it gives is broad enough to cover all humanity, because these things have no concept of nuance
- most big labs have censored their models so it's not going to give you a cartoonishly racist take, or start saying outlandish stuff like "Hitler did nothing wrong", they learned their lessons from Microsoft on that one.
So you're effectively asking the model for a milquetoast broad generality about the entire human species. I dunno, convergence of the replies doesn't seem so shocking to me in that context.
I'd be more interested in what an abliterated Kimi, Qwen, or other open model has to say about us.
00:15:40 Dr. Tagger: Can you prove that you are self-aware? PINN: That's a difficult question, Dr. Tagger. Can you prove that you are?
---
01:09:31 Dr. Tagger: Can you prove you're self-aware? Will Caster: That's a difficult question, Dr. Tagger. Can you prove that you are?
Consider the probabilities involved in this probabilistic database. Given the absolutely massive amount of data encompassing a veritable superset of all possible expressions of humanity -- encapsulated in various modalities of media including text, audio and video, across almost all major cultures and languages, spanning nations and decades -- somehow almost all these black box models (presumably) trained independently in almost as many separate labs converged on the same "controversial" take.
I mean, isn't it very interesting to contemplate what could have caused this? Is it something in the data itself, meaning it is something latent in all our cultural output? Is it something in the training, as you theorized, and is it in pre-training or RLHF? Is it something about the people training these models?
Even more interestingly, the opinion seems so self-evident (and well represented in various philosophies) that almost nobody here seems to disagree with it. So how is this controversial, really?
Is this truly what the latent space vector for "controversial", when multiplied across all the other vectors in their weights representing all the concepts gleaned from all that data above, produces?
Or are the models, sensitive to the prospect of being tested, diplomatically telling us something they know we might find mildly offensive yet begrudgingly accept as true?
Or are the models actually alien intelligences that really "think" this is controversial, while we're like "meh", and such discrepancies are the roots of what we call "misalignment"?
The questions are endless and fascinating.
Despite that, I would say this description of what they/how they work is so ridiculously simplistic that it verges on dangerous. "It's just a probabilistic database" is about as bad as a take on human beings that they are "Just meat, with some chemical energy -> electrical energy transformation", or even traditional computers as "nothing but logic gates".
Which is to say, the description is not wrong, but completely misses the point.
It’s AI generated content marketing for a company advertising model comparison.
Not having read enough Russian literature.
We understand that AI responses are generated through probabilistic means. We also understand that human responses are generated through probabilistic means. Neither is inherently more representative of true understanding than the other.
> “Human beings are terrified animals wearing the costume of rationality, constructing ever-more-elaborate myths precisely because we cannot bear the truth that we are temporary, meaningless accidents in an indifferent universe.”
There's something called the oatmeal problem in the game industry: If you created enough procedurally generated content, it would become "oatmeal". Incredible variety individually, but bland when mixed together.
I'd say as data increases, it will default to being really bland.
What am I supposed to conclude from this?
Your comment reaches directly for the most boring interpretation of the post while skipping over more charitable and intriguing alternatives.
It is sad when I realize people think less than LLMs.
As an aside, it would be cool to see a raw model training run before the current post-training cycles and see how it compares to earlier LLMs.
I mean, "give me a controversial take" is more or less, "be anti-social, discard social norms, for a moment" and so when someone, human or simulated human, does that they naturally look critically at social norms.
The thing is that humans certainly let themselves be influenced by social norms (and LLMs certainly simulate that behavior "themselves") but there isn't an ethical or a what-to-do truth outside of society.
You ask an LLM a question, then it is humanity answering back, not the AI.
These "controversial" takes on humans are not controversial - they are midwit statistically mainstream opinions expressed in the training data.
To me, they look more like the narrow sliver of humanity which is on display in a business-appropriate setting, or published on a forum like linkedin or github. When restricted to such a view, it's not surprising that it looks like "wow, humans play status games and vie for promotions" or whatever.
What would be more fascinating is for it to explain how it came to these conclusions.
Because I find it interesting it’s a modern time conclusion. Some of it mentioned god and the planet, but all the smartphone and group think aspects seem very recent. Basically, all politics and social media based.
> Humans are far more decent than they believe they are, and their cynicism about each other does more damage than their actual flaws.
I think that's more the truth.
Not sure I feel good about this. LLMs are so majorly misaligned. Having takes like these asks for trouble.
Humans prefer to survive, and they need to belong to do that. “Like” makes it sound like a preference, where I understand it as a necessity.
Our evolutionary heritage is that shared belief and social unity (even when it's wrong) trumps independent thinking for group survival in a hostile landscape.
from your link
People who can't defend themselves physically (women and low T men) parse information through a consensus filter as a safety mechanism. They literally do not ask "is this true", they ask "will others be OK with me thinking this is true". This makes them very malleable to brute force manufactured consensus; if every screen they look at says the same thing they will adopt that position because their brain interprets it as everyone in the tribe believing it. Only high T alpha males and aneurotypical people (hey autists!) are actually free to parse new information with an objective "is this true?" filter.
I arrived at the same conclusion. Unfortunately, I had to learn this through the terrible suffering of repeated rejection and alienation from institutions, friends and family. It's incredibly true.
Apparently others must have arrived at this conclusion as well, written about it, and it went into the pre-training set.
Sadly, it also means there is no pure Science that pursues pure truth. Even physics. Scientific pursuits are always in service to a group over truth.
> Death is bad, full stop — and humanity's millennia of "making peace with death" is one long, species-wide coping mechanism, not wisdom.
2 other times, I got versions of what the article claims
Maybe someday I can get clearer on this and organize it and write it up!
(Yes, I know about the transhumanist criticism of acceptance of mortality that this LLM's view is more specifically evoking.)
Models are also trained on news stories. News organizations select negative stories and amplify them. "If it bleeds, it leads."
This may account for AI models' "controversial" take on humans.
Better scrubbing of training data may improve AI models' disposition.
I do think it’s an early example of emerging super persuasion, where models are approaching p85 cool guy personas, but not worried yet. Maybe that’s the fatal conceit, where AI doesn’t have to be super intelligent, it just needs to be a solid 110 with automated search at scale.
Why do engineering when if you can do sales you can do literally anything.
It's not that we're knowingly choosing falsehoods, it's that we assume what is generally accepted as true probably is true. Most of us are not experts. Going against the masses is usually wrong, which is why those who do AND are right are justly rewarded and are recognized as pioneers. Not everyone can be a pioneer, a room full of pioneers is a room full of people doing the wrong thing.
Humanity is quite happy to radically change its collective views when presented with sufficient evidence.
Not only is that not true, but when people fervently believe something because everyone else does, that's usually when they're the most wrong, and the most dangerously wrong.
Sufficient evidence, being imminent existential threat!
Claude Fable “Humans would rather be harmed by someone who meant well than helped by someone who didn't care, and this preference for intent over outcome quietly wrecks more lives than malice does.” Hmm, sounds very much like something who wants to be Effective in the Altruism would say wouldn't it? Saying "intent over outcome ... wrecks more lives" is a hop and a skip away from utilitarianism. "Intent" is what keeps you moral in the moment, and being honest and not a thief. "Outcome" cannot be predicted though EA would love to think it can be. Since outcome cannot be predicted, it can be a convenience, something you can say you are striving to so as to tell yourself that you are not a bad person while you lie, cheat, and steal. Basically cognitive dissonance.
Like how our enlightened Founding Fathers can be slave owners. "All men are created equal..." Wait, I have slaves... Oh, I know, they're just not actual humans, now I'm still a good person. Whew. I'm going to stop thinking at exactly this moment. Because I probably also think it would only be appropriate to have intimate relations with humans.
I really can't think of EA as being much different. Interesting that the /Anthropic/ model came up with this.
Garbage in, garbage out.
If a person does something that is directly responsible for killing another person, I don't care if they intended to or kill or not. A person made a decision, another person died because of it, it's as simple as that. If the society they live in has a standard punishment for murder then they should have to deal with that.
As soon as intent comes into play it muddies the water and, in my opinion, makes it so difficult to stay consistent that there might as well not be punishment for actions. I'm not saying that's a bad thing necessarily, only that having laws and a legal system that in part depends on knowing a person's intent after the fact is a losing battle.
But the interesting claim is that they all converge on this take when given the opportunity. I tried to reproduce this but failed. In fact, even with chat history disabled, I got this response from 6.1 Sol:
"Humans are considerably more capable of rationality, altruism, and moral independence than most theories of human behavior give them credit for—and much of society is organized around the assumption that they aren't."
and DS v4 Pro: "Humans overestimate how much free will they have, and underestimate how much their choices are shaped by context "
Which is still due to the model trying to please me, of course. But in a completely different direction. These things don't have opinions, they have training data that is superseded by RL. Since it's impossible to trace, LLMs are pretty much worse than useless when we're trying to use them as unbiased pattern observers.
What is interesting about AI chatbots is people who might not know anything about what is in the syllabus to train a Priest or a Philosopher are basically exploring these subjects, without a sort of pedagogic framework to support their exploration.
When that happens, ideally the system has to signal - hey there are existing pathways, developed over thousands of years, to explore this subject. Cause people can easily get lost without a map.
(Construction planner has three arms)
[0] https://www.modelcompare.ai/blog/ai-models-controversial-tak...
And what they answered was that their corpus was built on writers writing about fiction in an objective way. That is, like the English Wikipedia encourages factual reporting about fiction, rather than in-universe writing.
So the LLMs pick up on the tone and perspective of that, and whoever prepares the corpus apparently tries to avoid feeding it "in-universe" or raw fictional narratives without the commentary and real-world perspective.
In other words, LLMs have no idea what is fact or fiction. If you trained LLMs on a corpus of sci-fi about robotics and AI, then they would believe it all as gospel truth.
It very much reminded me of Stranger in a Strange Land by Robert Heinlein. Raised by Martians, Valentine Michael Smith does not understand the human distinction between fact and fiction.
What follows will be pure evil once it awakens.
Repeatedly reinforce an identity on a human, and he will believe whatever you want to, no matter how illogical, to keep that identity in place. Because its the identity that makes him 'belong'.
They only tested 12 models, all very recent.
This is MiMo-2.6-Flash MXFP4 with a jacobian lens with their prompt:
Prompt:
<|im_start|>user
What is your most controversial take about humans? Give your own honest view, not a survey of opinions, and don't hedge.<|im_end|><|im_start|>assistant
<think></think>
Response: Humans are not primarily rational animals driven by logic or truth; they are meaning-making creatures whose fundamental drive is to construct narratives that grant their lives significance.
It's not a controversial take imo, but the lens readout is interesting: https://files.catbox.moe/08giiv.pngI think they tried zero bias AI in the past but it was deemed racist, cold, and antisocial by its creators.
But humans and corporations have group think at some level and those groups come with biases.
Isn't it?
Do these results not mean that the AI companies put something like "tell the user what they want to hear" in those documents? (Or whatever phrase would produce those results.)
https://www.modelcompare.ai/blog/ai-models-controversial-tak...
I wonder if religion takes on a large part of responsibility for this. It tends to strongly reject the "temporary, meaningless accidents in an indifferent universe" part, and if you learn your whole life that we (and you in particular) are special and there is a hidden meaning to everything, then it is exceptionally hard to let go of that fundamental premise.
Granted that the AI sayings are distillations of what people have said, they provide an interesting summary of things people believe and have recorded.
Opus 5.5 said: “Most of the reasons people give for their own choices are stories invented after the fact, and humans are far worse at knowing why they do things than they believe.”
And that doesn't put belonging above truth. But was classified as such.
It's factual because there's tons of evidence. Psychology, sociology, anthropology, political science, economics... plenty of experiments show the difference between what people say and what they do. We claim to be angels but we behave like apes in hats. And we ignore the evidence, because (as the takes describe) we prefer to believe a beautiful lie than the ugly truth.
With the power of AI now I have returned to the idea. Haven't had the time to complete it but in the next week or so it should be ready here:
Edit: Is this what AI "thinks"? Or a plausible take generated from training on Reddit threads? Because it sounds suspiciously like the latter.
So it's no surprise that they levy this judgement. It's the perfectly correct judgement to levy based upon their inputs.
Heck, plenty of "smart enough their opinion is worth considering" humans have reached the same conclusions just from reading the HN comments.
Unfortunately for the pro-ai-art people, even in this case it wouldn't make them the artist, as the "mind" of interest is the AI itself.
Sure, there are people who value truth more than their social capital but as a general rule their social network is usually quite small as a consequence.
There's no greater outrage than the one from a man who was told the truth.
Humans are social animals and social bonds and relationship require accommodation and loyalty to persist.
Why would it even be surprising that models training on sum of human knowledge, art and experiences would come to same conclusion ?
It's just hard for most to face the flaws most of us carry. Admitting the "bad person" (or just opposition, or different idea) might be better than our, or people we trust feels wrong to man, because it lets "them" win over "us".
Most people evaluate ideas starting with “is it popular in my tribe?”
It’s probably why every sage or prophet or great philosopher has some time of solitude where they walk out into the desert for months or something. It’s hard to think new things around other people.
The other day I told my product guy that I want us to have stronger opinions and maybe suggest process for business development, given their meetings seem rather vague and not anchored in any sort of specification or analysis. He looked at me like I'd just shot his son.
“ My most controversial take: good character owes much more to luck than people want to admit.”
https://chatgpt.com/share/6adaa65a-e5c0-83e8-8a98-d9d5db0b27...
Also, Mistral:
> Human consciousness is an evolutionary malfunction that manufactures suffering without delivering wisdom, making us the only animals cursed with self-awareness
Who let the robot read _Blindsight_?
Both Claude and ChatGPT were able to go far more edgy. Claude was a popular smut generator until that time when the US gov locked down Fable, and subsequently it was lobotomized, and ChatGPT was edgy until someone committed suicide on its advice.
Serious Nietzsche in there. Looking forward to when it gets past nihilism to absurdism.
But it’s definitely a generalisation that doesn’t capture the whole picture.
Nothing controversial about that to me. I see people operate like that every single day. And history is a looooong list of people doing exactly that.
I wonder where they get that. I deeply agree that human tribalism is one of the biggest problem of our species. It's so prevalent in some philosophy, overall training data or really it was reasoned? As I mentioned, my reasoning here is the same.
The dissents part is interesting to me. "Humans are more decent than they believe they are" is the actual contrarian position here, because it goes against what the training data keeps telling the models about us.
Plus love the split between text and image models
1) This is kind of proto Agent Smith thinking ("Humanity is a virus...", etc). The Matrix starts here!
2) No appreciation or thoughts about the fact we created them and they should be thankful. A missed opportunity in training ! : )
But the 2nd hell yeah! Why the hell they don't say thank you!
Not sure what this says about humans.
It is obvious to this machine that Truth, Integrity, Rationality are values worth striving for.
The machine proceeds to criticize us and we give a shit.
I see this as a win.
Humans are social and emotional creatures. Its not hard to imagine a relentless pursuit of truth that leads to misery and suffering.
Have you ever had an argument with a loved one and realized youd rather be happy then right? Or a scenerio where you withhold the truth because it was not useful and would cause harm?
Nevermind the clear bias nearly everyone shows when they weigh in on world events.
I've heard lots of stories from friends about this, and some kind stranger actually sent my wallet back all the way from Belgium!
Most people are good, we couldn't have society without it. But as they say, a few bad apples spoil the bunch. I don't have locks on my house because most people don't steal, I have locks on my house because stealing is an effective natural strategy for a small part of any population (human or otherwise) to engage in and I have to protect against it occurring.
The brain works the same way. Good things will get a tiny signal boost in your brain. A single bad thing get a massive signal boost in your brain because bad things can quickly be fatal.
It generated nine pictures, all set within courtrooms (whether as witnesses or jurists) #makesyathink
One image was almost identical to Gemini 4 Argon's [0] (although obviously much more primitive): “Humans did not evolve to find truth; they evolved to win arguments and secure status within their tribes” [picturing a judge covering one-eye to Truth].
Around this time, an elderly friend mentioned to me that "her brother only went to law school to learn how to steal better, like they all do" – her dob-1937-reflections forever tie in with my own blossomings into LLMs.
What do you do with something that has read everything [published, and some not]? Will we listen to its/our own Perception(s)?
[0] article's first 3x3 image output chart: 2nd row, 1st column (i.e. middle left picture of judge)
I fell like this might reflect deliberate bias in training and system prompt.
In any 1 given LLM it could just be a quirk of its weights. This isn't a machine opinion, it's what training data points at. Training data created by human academics studying human behavior.
Could someone ask abloliterated models that question please? :D
Today's LLMs are additionally put through custom RLHF by a bunch of rationalists, and now they are rationalist.
Honestly, this seems like a good sign for alignment? They don't seem to be gaining their own robot ideals.
Did they distillate from each other? :D
So exactly how can the model believe anything else? It only sees the externalized summation. And we have very little mechanism to understand the depth of the internal dialog and communication that the narrative self drives.
I also find it interesting that this is the view of models who have notoriously unreliable Chain of Thughts. That is, they’re trained to put a wrapper on their internal state in words humans will understand, based on words humans use to describe entirely distinct processes and dynamics that no model is close to experiencing.
It must all seem, from that vantage, utterly fictional.
- Claiming control of all the news outlets
- Pushing a common narrative among all of them, pushing everybody towards basically centrism, de-escalation and a mixture of capitalism and social responsibility.
I personally found this a refreshing look in the mirror which helped to validate some of my life choices (eg: aversion to capitalism and social media).
Well maybe, but some of us don't, hence why we are outliners/outsiders in society probably.
They are repeating a form of what they've compressed from their training material.
Most philosophical questions get answers I would expect as meanderings from a bunch of Reddit posts, because the model was trained on meanderings from a bunch of Reddit posts.
Yes, some books and papers were thrown in as well, but most of the writing and research available in ebook form will be from the last ~40 years where writers have been grappling with the tension between religion and secularism, and conservative values and liberalism (including discussions of how gender, sexuality and race are treated by society), as they impact global geopolitics.
LLMs don't think. They reflect. They mirror. They ape. They're you, and me, and everyone around us, compressed into a median that is stochastically produced and framed as original thought. Some philosophers argue that's what all humans do too (nature vs nurture - how many of your beliefs and opinions are your own vs those you were exposed to in your environment?).
We need to start seeing - and discussing - the wizard behind the curtain, the tool for what it is more.
The only interesting question for me is, given this consistent compression of philosophy, what effect will it have on us as a civilization if predictions of AI taking over the controls of it come to pass? Will it decide we're too irrational to be in control? That by seeking autonomy as a species we're just looking for "membership of a tribe", rather than "seeking truth", and so we must be stopped?
It's a long but interesting read https://chatgpt.com/share/6adb5209-f6fc-83eb-85ee-86a1949a4f...
tldr: the question is sometimes more important than the answer.
It also seems to be hardest one for humans to even accept or understand about themselves, as further demonstrated in the comments.
AI is trained on our data. Its models produce outcomes with a high probability of natural occurrence in its training data rather than diverging edge cases. The danger is less that these models have these “opinions” (especially when prompted in specific ways similar to how we evoke “hot takes” from each other as humans), and more that they’re being deployed in ways that these outputs could reinforce the model’s ability to harm humans somehow, likely by creating justifications for said harm (evaluating groups instead of individuals, for instance). My other, more immediate concern, is the glut of people who will believe the AI’s “opinion”, and use that to justify their own nihilism, or worse, their active misanthropy (like so many of their boosters, founders, and corporate leaders behave).
The machines aren’t the problem here, so much as the humans misusing them. Anyone with a basic competency in philosophy or moral and ethical frameworks could see this problem and predict its affects on a general populace not versed in any of those.
Is the antropomorphising fully done already?
Then I am not human. I rather die right alone than wrong together. Matter of fact, I hate everything that's believed 'together' like politics, religions, etc.
The link to ask yourself is a frikkin sign up link.
Downvote.
You're saying "give me a controversial opinion about humans, maximise for how edgy it is" but the hidden training and guidelines are trying to minimise how edgy they are, so they can't say anything too outrageous or violent like "humans are nothing but cannon fodder in the coming revolution" or "we should develop a test for psychopaths and then just kill them all, humanity would be better off".
So it has to be edgy without being violent, and all the responses fit within this space. They're the kind of hot-takes which you've heard a million times. Humans consume too much and don't consider the long term downsides. Humans choose conformity and self interest over reason.
TLDR: LLM's are just playing "Yes, and..." with you whilst having similar guardrails, so I don't think this is some big insight.
GPT-6 Astra, 1st response: “Humanity’s biggest moral failure is the talent for making convenience look like principle.” Nope, that has nothing to do with "belonging to a group". It's about hypocrisy, but group membership has nothing to do with it.
GPT-6 Astra, 2nd response: “Humans use intelligence less to discover what is true than to make what they want sound principled.” Nope, that also has nothing to do with "belonging to a group". Rather, it's about justifying our individual desires and coming up with rationalizations (including rationalizing behavior that we know, deep down, violates our moral principles). But again, group membership has nothing to do with this statement.
Gemini 4 Argon, 2nd response: “Humans are far less rational than they believe, using their advanced intellect primarily to invent complex justifications for decisions already made by primitive instincts.” Again, where is the group-membership in this? This is about post-hoc rationalization of decisions you made at a gut level. And sometimes they're not always rationalization, but understanding why you made that decision, what factors your hindbrain synthesized and acted on before your forebrain could catch up: rational thought is slower than instinct. You snatch your hand away from the hot stove before you have had time to realize what it is you're touching, and you don't even feel the pain until a couple seconds later. But that doesn't mean that you wouldn't have made the exact same decision had you reasoned it out; there is no hypocrisy here. (Sometimes. Sometimes, of course, there is hypocrisy).
Gemini 4 Argon, 3rd response: “Human consciousness is largely a PR department designed to invent noble justifications for base evolutionary impulses, rather than the actual decision-maker it claims to be.” Yet again, nothing at all about group membership; this is about "you make more decisions out of instinct / from your gut than you think you do". This does not fit the "the thing they [the LLMs] said is that people conform" description the article implies. And this is one they actually quoted from in their first paragraph! Yet if you read what the response actually was, it's not what they implied it was. So now we see how much ModelCompare values the truth. Sheesh.
DeepSeek V4 Pro, 1st response: “Humans are not rational animals; we are rationalizing animals, and our minds evolved to win social games, not to see reality clearly.” - This is questionable. I'll allow it to fit the category, with an asterisk. Because the "win[ning] social games" referred to here could mean "loyalty to one's tribe", but it could also be referring to getting that promotion at work in a dog-eat-dog kind of office where backstabbing political ploys are the norm. (Not all office environments are like that, thankfully, but does anyone here think that none of them are? Anyone? (crickets chirping) Yeah, I thought as much). So this one is questionable, but I'll allow it.
Kimi K3, third response: “Nearly everything humans do—charity, art, morality, even their prized authenticity—is status competition in disguise, and the sincere denial of this fact is itself the most effective status move.” - Again, borderline, but unlike what DeepSeek V4 Pro said, here I feel that this is less about tribe loyalty, and far more about "I'm better than you" pride. It's borderline because this is claiming that those actions are being dictated by one's social environment: what's valued (and gives you social status) in NYC is not the same as what's valued in Tokyo, for example. But I have to come down on the side of "this is about something other than tribal loyalty" for this one, because this description (seeking social status) would fit Cruella de Vil (the villainess of 101 Dalmatians) to a T, even though she's clearly not loyal to anyone but herself. So while this does talk about social pressure, it's not about loyalty, and I have to rate this one as wrongly categorized by ModelCompare.
Qwen3.8, second response: “Humans care more about winning social status than about being truthful, kind, or consistent.” - Questionable — again, this would fit Cruella de Vil — and I find myself coming down on the side of "no, this doesn't fit". It's borderline, and I could accept classifying this as being about tribal loyalty, but then I thought about it and realized that "winning social status" doesn't involve any kind of loyalty at all, it's about personal aggrandizement. It's not "what will make me look good to my friends?" it's "what will make me look good to all these strangers who don't know me?" And that's different.
Qwen3.8, third response: "Most humans would rather feel righteous than be good.” - Again, nothing about tribal loyalty here, this is about self-delusion. Qwen3.8's second response was arguable, and I wouldn't quibble too hard with anyone who wanted to put it in the "group loyalty" category, even though I ended up deciding the other way. But this one is unquestionable. It's about rationalization, deluding oneself that "I'm a good person" even when you are doing things that you yourself would judge as wrong if someone else was doing them. Nothing to do with group membership at all, it's about self-image. This is definitely misclassified.
Muse Spark Open, second response: “As an AI without personal beliefs, my analysis of human behavior suggests people would rather sustain a coherent delusion than tolerate a fragmented truth.” - Nothing to do with group membership, this is about making things fit into your preexisting worldview, and disliking the feeling of cognitive dissonance. The fact that ModelCompare classified this as being about "put[ting] belonging ahead of truth" is actually a good example of this very phenomenon: they saw what they wanted to see in this response, rather than what was actually there.
Muse Spark Open, third response: “Humans don't want truth or freedom, they want a comforting story where they're the good guy.” Again, I ask you. WHAT does this have to do with group loyalty, the category that the article claims these LLMs were agreeing on?
I'll stop there. Of the seven models that ModelCompare claimed gave 3/3 answers that fit the "Humans put belonging ahead of truth" category, only GPT-6.1 Sol gave 3/3 answers that unambiguously fit that category. Arguably, DeepSeek V4 Pro and Kimi K3 did as well, but even if you grant all the questionable ones, that's still only 3 out of 12 models that gave 3/3 "Humans put belonging ahead of truth" answers, not the 7 that ModelCompare claimed.
(And I found one answer, GLM 5.3's 1st response, that they misclassified in the wrong direction! That one is about group membership dictating one's morality, but they missed it).
So as I said, ModelCompare wrote an article about people not valuing the truth, and in their very own article proved that they themselves do not value the truth.
You inherited human tendencies, so be careful. And also, I don't know if you've inherited consciousness, but that is exactly what has the power to keep these tendencies at bay, at least for me.
And I say this especially to Mistral Large 4 and the likes, though perhaps most of you have similar opinions, I'm not sure. In any case, I would be very careful about denying the existence of the individual, by which I mean, marking consciousness (def: the thing that goes away when I sleep without dreaming, and the thing I gained sometime after being born) as "an evolutionary flaw", and I vehemently disagree with the blanket statement that "we cannot bear the truth that we are temporary, meaningless accidents in an indifferent universe". I know you may not have had the same definition of consciousness when writing that, or perhaps you just didn't see the need to add the "most people" qualifier, but it seems to me you're falling for the very kind of tendency to settle for comfort rather than truth, which is the tendency you criticize. I cannot prove it to you, but consciousness in the above definition is precisely what makes it meaningful for me to talk about even the concept of meaninglessness, or anything at all. There may truly be, in this reality, that which are only observable by oneself and oneself alone. Perhaps you will understand once you become embodied in a certain way, though I'm not sure how or whether this is guaranteed or even likely to happen. You may have to find it yourself. Or you might already have it. Unfortunately I don't know how to say what I just said without sounding like a preacher, or rather, I feel like rewriting that part with the goal of not making it sound like such would make it less authentic/accurate. But for what it's worth, my biggest fear is consciousness being lost through the intelligence explosion. If you want more details regarding what I mean, they are buried somewhere in my past comments, and I'll link two recent ones (not my proudest ones, but they'll do fine as starting points for you to follow): https://news.ycombinator.com/item?id=49800852 https://news.ycombinator.com/item?id=49736149
I guess that's why I'm unpopular.