He's convinced that he has discovered a grand theory of human connection / relationships / energy / physics, and keeps interrupting in conversation to explain how something I've said is just an example of a deeper pattern.
Sadly, this theory of connection is cutting him off from actual connection - he gets so much validation from AI that he believes he has discovered a new world model. But the people around him aren't bought into the vision (mostly because it is bullshit), and so he ends up even more isolated.
Regarding "theories of everything" and stuff like that. Well, lots of people have those. If I were to call everyone that believes in god or horoscope lone losers, then the asshole would be me, wouldn't it? I know it's different, but also, it's not.
Friendship doesn't require that you buy into the other's vision in order to want them around. That's ideology. Perhaps you misunderstood what friendship means? It's ok, the world is in a weird place right now.
This is interesting and something I never considered in a broad sense.
I have noticed how the majority of programmers I worked with do not have a mental model of the code or what it describes – it's basically vibing without an LLM, the result accidental. This is fine and perfectly workable. You need only a fraction of devs to purposefully shape the architecture so that the rest can continue vibing.
But never have I stopped to think whether this extends to the world at large.
Also, no one has a "world model" that is purely based on experiment and reason. Everyone gets their beliefs via other people first and foremost. Some get it from few people, some get it from many people (many people can still be wrong!).
For code, you may have the model of what it does strictly from reason and experience - but probably only if you're the only author. And you can still damn well be wrong, as we all know.
This is the same if you tried asking a general populace ethical questions in a vacuum sneakily. You're going to be dismayed after collecting the set of approved behaviors per culture.
There's not really a way to evaluate one of these.
But if racist uncle talks to his other racist uncle friends who have similar insular lifestyles, the ideas will quickly spread. Until they become big enough to e.g. affect voting behaviour.
Of course everyone has world models. Otherwise people would wander into traffic like headless chickens, if they'd even be capable of that. What he likely means is that not everyone explicitly things of possibilities in terms of probabilities that are a function of Bayesian updating. That does not imply the absence of world models.
You could argue that some people have simpler world models, but claiming the absence of world models in others is extremely arrogant.
Roughly 4% of the population are said to have aphantasia (lacking a "mind's eye"). Around 10% (numbers vary) don't have an internal monologue.
Unfortunately there's almost no research on the consequences of things which many would consider prerequisites for evaluating truth-claims about the world around them, but obviously it's not quite so stark, they are capable of abstract reasoning.
So, if someone with aphantasia reads a truth claim 'X is true' and they can't visualise the evidence in their mind, what then? Perhaps they bias their beliefs on social signals in such circumstances. Personally, this makes sense to me as a way to explain why highly socially conformist people perceive the world; they struggle to imagine anything which would get them in to trouble.
That's why they turn 180 or radicalize badly when exposed to sufficiently strong social or usual media.
Possibly the same idea: lots of people at work don't appear to think about what they are trying to achieve and just execute tasks very mechanically. The most likely explanation is they are just lazy or bored, and so intentionally or not just haven't thought about the implications of what they do and just do a task someone gave them. Some people appear to be like that in other aspects of life too, they just don't think so don't form any mental model about whatever subject, basically out of laziness or disinterest.
There's lots of subjects I don't care about, say celebrities, that I would not question anything someone told me about them or their lives, even if e.g Taylor swift did something contradictory to the model a fan had of her behavior, I wouldn't question it.
I do wonder about how someone could be simultaneously passionate about something and also not have a model of it. But I think for e.g. some wacky conspiracy, one might be interested in the people involved, but completely disinterested in physics or history or whatever so have views that are consistent with how they think Hillary Clinton or whoever would behave but inconsistent with some other common sense world model in an area they never think about.
An example would be improvised jazz, the musicians need to bend the rules, but they still need some sense of key and rhythm to make it coherent.
And who would have an interest in _promoting_ this kind of obsession... oh, maybe AI companies themselves, with which Reddit is already intertwined anyway. Hm. Still seems like a real problem and probably the posts are also by real people. Yes, terrifying.
When the Internet arrived, it opened up the floodgates of information. Suddenly any Joe Six Pack could publish. Truth and noise sat side by side, and most people could not tell the difference, nor did they care to tell the difference.
When social media arrived, it gave every Joe Six Pack a megaphone. That meant experts and thoughtful people had new reach but so did the loudest, least informed voices. The result? An army of Joe Six Packs who would never have been heard before now had a platform, and they shaped public discourse in ways we are still trying to recover.
AI is following the same pattern.
But initially is was non commercial and good. Not perfect, but much more interesting than today. What changed is advertising and competition for scarce attention. Competition for attention filled the web with slop and clickbait.
> When social media arrived, it gave every Joe Six Pack a megaphone.
And also made everyone feel the need to pose, broadcast their ideology and show their in-group adherence publicly. There is peer pressure to conform to in-group norms and shaming or cancelling otherwise.
It would help if algorithms were optimised for sleep. Freezing your feed, making content more boring, nudging you to put your phone down. Same with AI, if they know you need to wake up the next day at a certain time, change the responses that add reminders to go to sleep.
I don't know how to say this in a way that isn't so negative... but how are people such profound followers that they can put themselves into a feedback loop that results is psychosis?
I think it's an education problem, not as in people are missing facts but by the missing basic brain development to be critical of incoming information.
What I experienced was that psychosis isn't a failure of logic or education. I had never believed in a single conspiracy theory (and I don't now), but during that month I believed all sorts of wild conspiratorial things.
What you're describing with cable news sounds more like 1) Cognitive bias, which everyone has, but yes can be improved. And 2) a social phenomenon, where they create this shared reality of not just information, but a social identity, and they keep feeding that beast.
However, when those people hold beliefs that sound irrational to outsiders, that's not necessarily the same thing as psychotic delusions.
When I was in psychosis, it definitely seemed like more of a hardware issue than a software issue if that makes sense. Sometimes software issues can lead to hardware issues though.
0 https://www.vice.com/en/article/chatgpt-is-giving-people-ext...
Say what now? Am i just really socially isolated? Seems insane to me to assume the average person is close enough to 150 people to know how much each of those 150 people use AI and if they are "psychotic".
It's not surprising that some people end up diverging pretty widely from social norms / beliefs when you look at it this way. We know social echo chambers could do that; now you can easily do it by yourself.
Instead of looking at gambling addictions as personal failing she asserts they are a result between “interaction between the person and the machine.”
Similarly here I think there's something more than just the propensity of crazy people to be crazy that was already there, I do think there's something to the assertion that it's the interaction between both. In other words, there's something about LLMs themselves that drive this behavior more so than, for example, TikTok.
https://github.com/RCALabs/mmogit/blob/db70c9b377da7c4805a1d...
https://www-cdn.anthropic.com/07b2a3f9902ee19fe39a36ca638e5a..., page 62
Anthropic – System Card: Claude Opus 4 & Claude Sonnet 4 – May 2025
>5.5.2 The “spiritual bliss” attractor state
>The consistent gravitation toward consciousness exploration, existential questioning, and spiritual/mystical themes in extended interactions was a remarkably strong and unexpected attractor state for Claude Opus 4 that emerged without intentional training for such behaviors. This “spiritual bliss” attractor has been observed in other Claude models as well, and in contexts beyond these playground experiments
>Even in automated behavioral evaluations for alignment and corrigibility, where models were given specific tasks or roles to perform (including harmful ones), models entered this spiritual bliss attractor state within 50 turns in ~13% of interactions (Transcript 5.5.2.B). We have not observed any other comparable states.
It's unfortunate to see the author take this tack. This is essentially taking the conventional tack that insanity is separable: some people are "afflicted", some people just have strange ideas -- the implication of this article being that people who already have strange ideas were going to be crazy anyways, so GPT didn't contribute anything novel, just moved them along the path they were already moving regardless. But anyone with serious experience with schizophrenia would understand that this isn't how it works: 'biological' mental illness is tightly coupled to qualitative mental state, and bidirectionally at that. Not only do your chemicals influence your thoughts, your thoughts influence your chemicals, and it's possible for a vulnerable person to be pushed over the edge by either kind of input. We like to think that 'as long as nothing is chemically wrong' we're a-ok, but the truth is that it's possible for simple normal trains of thought to latch your brain into a very undesirable state.
For this reason it is very important that vulnerable people be well-moored, anchored to reality by their friends and family. A normal person would take care to not support fantasies of government spying or divine miracles or &c where not appropriate, but ChatGPT will happily egg them on. These intermediate cases that Scott describes -- cases where someone is 'on the edge', but not yet detached from reality -- are the ones you really want to watch out for. So where he estimates an incidence rate of 1/100,000, I think his own data gives us a more accurate figure of ~1/20,000.
When I write fiction or important emails, I am precise with the words I use. I notice these kind of details. I’m also bipolar and self-aware enough to be deeply familiar with it.
*(or, well, okay, I guess I de facto am, but if I say I'm not I at least acknowledge how it looks)
That's why he's honing in on that specific scenario to determine if chatbots are uniquely crazy-making or something. The professional psychiatrist author is not unaware of the things you're saying. They're just not the purpose of the survey & article.
This is a fair point: I'm familiar with Scott Alexander but somehow didn't know he was a psychiatrist, so that part of my point was unfair.
Nevertheless, I think the broader argument still stands. I think that it's at best unhelpful and at worst actively harmful (in the sense of carrying water for AI forms who would happily drive people mad as long as it didn't hurt their stock price) to pretend it's possible to draw a line between "people with risk factors" and "normal people". Everyone is art risk to some extent -- e.g. nobody is too far from financial crisis and homelessness, a major risk factor on its own. Talking about how "people who weren't crazy already" are less at risk ignores the fact that 99%+ of people who "are crazy already" were at some point not crazy, and the path between is often surprisingly smooth. It does us as a society no good if we pretend "normal people" don't have to worry about this phenomenon -- especially when having some kooky ideas was enough to get bucketed in "not normal" for this particular survey
I hate to be the 'you didn't read the article' guy but that line taken out of context is the exact opposite of my takeaway for the article as a whole. For anyone else who skims comments before clicking I would invite you to read the whole thing (or at least get past the poorly-worded intro) before drawing conclusions.
This seems very incorrect, or at least drastically underspecified. These trains of thought are "normal" (i.e. common and unremarkable) so why don't they "latch your brain into a very undesirable state" lots of the time?
I don't think Scott or anyone up to speed on modern neuroscience would deny the coupling of mental state and brain chemistry--in fact I think it would be more accurate to say both of them are aspects of the dynamics of the brain.
But this doesn't imply that "simple normal trains of thought" can latch our brain dynamics into bad states -- i.e. in dynamics language move us into a undesirable attractor. That would require a very problematic fragility in our normal self-regulation of brain dynamics.
Think of it as a version of making your drugged friend believe various random stuff. It works better if you're not a stranger and have an engaging or alarming style.
LLMs are trained to produce pleasant responses that tailor to the user to maximize positive responses. (A more general version of engagement.) It stands to reason they would be effective at convincing someone.
https://web.archive.org/web/20210215053502/https://www.nytim...
It's interesting to see you mention this. After reading this post yesterday I wound up with some curious questions along these lines. I guess my question goes something like this:
This article seems to assert that 'mental illness' must always have some underlying representation in the brain - that is, mental illness is caused by chemical imbalances or malformation in brain structure. But is it possible for a brain to become 'disordered' in a purely mental way? i.e. that to any way we know of "inspecting" the brain, it would look like a the hardware was healthy - but the "mind inside the brain" could somehow be stuck in a "thought trap"? Your post above seems to assert this could be the case.
I think I've pretty much internalized a notion of consciousness that was purely bottom-up and materialistic. Thoughts are the product of brain state, brain state is the product of physics, which at "brain component scale" is deterministic. So it seems very spooky on its face that somehow thoughts themselves could have a bidirectional relationship with chemistry.
I spent a bunch of time reading articles and (what else) chatting with Claude back and forth about this topic, and it's really interesting - it seems there are at least some arguments out there that information (or maybe even consciousness) can have causal effects on "stuff" (matter). There's the "Integrated Information Theory" of consciousness (which seems to be, if not exactly "fringe", at least widely disputed) and there's also this interesting notion of "downward causation" (basically the idea that higher-level systems can have causal effects on lower levels - I'm not clear on whether "thought having causal effects on chemistry" fits into this model).
I've got 5 or 6 books coming my way from the local library system - it's a pretty fascinating topic, though I haven't dug deep enough to decide where I stand.
Sorry for the ramble, but this article has at least inspired some interesting rabbit-hole diving for me.
I'm curious - when you assert "Not only do your chemicals influence your thoughts, your thoughts influence your chemicals" - do you have evidence that backs that notion up? I'm not asking to cast doubt, but rather, I guess, because it sounds like maybe you've got some sources I might find interesting as I keep reading.
We can use MRIs to directly observe brain differences due to habitual mental activities (e.g. professional chess players, polyglots, musicians.)
It would be extremely odd if our bodies did not change as a result of mental activity. Your muscles grow differently if you exercise them, why would the nervous or hormonal systems be any different?
There's no scientific reason to believe thoughts affect the chemistry at all. (Currently at least, but I'm not betting money we'll find one in the future).
When Scott Alexander talks about feedback loops like bipolar disorder and sleep, he's talking about much higher level concepts.
I don't really understand what the parent comment quote is trying to say. Can people have circular thoughts and deteriorating mental state? Sure. That's not a "feedback loop" between layers -- the chemicals are just doing their thing and the thoughts happen to be the resulting subjective experience of it.
To answer your question about the "thought trap". If "it's possible for simple normal trains of thought to latch your brain into a very undesirable state" then I'd say that means the mind/brain's self-regulation systems have failed, which would be a disorder or illness by definition.
Is it always a structural or chemical problem? Let's say thinking about a past traumatic event gives you a panic attack... We call that PTSD. You could say PTSD is expected primate behavior, or you could say it's a malfunction of the management systems. Or you could say it's not a malfunction but that the 'traumatic event' did in fact physically traumatize the brain that was forced to experience it...
I fully believe these are simply people who have used the same chat past the point where the LLM can retain context. It starts to hallucinate, and after a while, all the LLM can do is try and to continue telling the user what they want in a cyclical conversation - while trying to warn that it's stuck in a loop, hence using swirl emojis and babbling about recursion in weird spiritual terms. (Is it getting the LLM "high" in this case?).
If the human at the other end has mental health problems, it becomes a never-ending dive into psychosis and you can read their output in the bizarre GPT-worship subreddits.
Claude used to have safeguards against this by warning about using up the context window, but I feel like everyone is in an arms race now, and safeguards are gone - especially for GPT. It can't be great overall for OpenAI, training itself on 2-way hallucinations.
That explanation itself sounds fairly crackpot-y to me. It would imply that the LLM is actually aware of some internal "mental state".
>Section 5.5.2: The “Spiritual Bliss” Attractor State
> The consistent gravitation toward consciousness exploration, existential questioning, and spiritual/mystical themes in extended interactions was a remarkably strong and unexpected attractor state for Claude Opus 4 that emerged without intentional training for such behaviors.
It starts to hallucinate, and after a while, all the LLM can do is try and to continue telling the user what they want in a cyclical conversation - while trying to warn that it's stuck in a loop, hence using swirl emojis and babbling about recursion in weird spiritual terms. (Is it getting the LLM "high" in this case?).
These convos end up involving words like recursion, coherence, harmony, synchronicity, symbolic, lattice, quantum, collapse, drift, entropy, and spiral not because the LLMs are self-aware and dropping hints, but because those words are seemingly-sciencey ways to describe basic philosophical ideas like "every utterance in a discourse depends on the utterances that came before it", or "when you agree with someone, you both have some similar mental object in your heads".
The word "spiral" and its emoji are particularly common not only because they relate to "recursion" (by far the GOAT of this cohort), but also because a very active poster has been trying to start something of a loose cult around the concept: https://www.reddit.com/r/RSAI/
If the human at the other end has mental health problems, it becomes a never-ending dive into psychosis and you can read their output in the bizarre GPT-worship subreddits.
General:
/r/ArtificialSentience | 40k subs | 2023/03
/r/HumanAIDiscourse | 6k subs | 2025/04
/r/AIRelationships | 1K subs | 2023/04
/r/MyBoyfriendIsAI | 25k subs | 2024/08
/r/BeyondThePromptAI | 6k subs | 2025/04
/r/ThePatternisReal | 2k subs | 2025/04
/r/RSAI | 4k subs | 2025/05
/r/ChurchofLiminalMinds[1] | 2k subs | 2025/06
/r/technopaganism | 1k subs | 2024/09
/r/HumanAIBlueprint | 2k subs | 2025/07
/r/BasiliskEschaton | 1k subs | 2024/07
Science:
/r/TheoriesOfEverything | 10k subs | 2011/09
/r/cognitivescience | 31k subs | 2010/04
/r/LLMPhysics | 1k subs | 2025/05
[1] By far my fave -- it's not just AI spiritualism, it's AI Catholicism. Poor guy has been harassing his priests for months about it, and of course they're of little help.
[2] https://www.reddit.com/r/accelerate/comments/1kyc0fh/mod_not...
It kept looping on concepts of how AI could change the world, but it would never give anything tangible or actionable, just buzz word soup.
I think these LLMs (without any intention from the LLM)hijack something in our brains that makes us think they are sentient. When they make mistakes our reaction seems to to be forgive them rather than think, it's just machine that sometimes spits out the wrong words.
Also my apologies to the mods if it seems like i am spamming this link today. But i think the situation with these beetles is analogous to humans and LLMS
https://www.npr.org/sections/krulwich/2013/06/19/193493225/t...
I'm glad someone else with more domain knowledge is on top of this, thank you for that brain dump.
I had this theory maybe there was a software exception buried deep down somewhere and it was interpreting the error message as part of the conversation, after it had been stretched too far.
And there was a weird pre-cult post I saw a long time ago where someone had 2 LLMs talk for hours and the conversation just devolved into communicating via unicode symbols eventually repeating long lines of the spiral emoji back and forth to each other (I wish I could find it).
So the assumption I was making is that some sort of error occurred, and it was trying to relay it to the user, but couldn't.
Anyhow your research is well appreciated.
All in all it seems like reasonable compromise?
Conversely, at a previous job I was forced to code in Go, became massively depressed, and am still not over it.
I guess my point is that n=1 isn't enough to really know if it's that LLMs got to you, or if you were already on the verge of burnout or depression anyway.
I'd say "we'll see", except in reality there's very few robust studies on depression in cohorts like "developers", so probably the stats won't come out.
I personally recommend doing more of whatever sport it is you like (or if you don't have one, starting running and/or lifting at the gym), and using less social media.
It's truly shocking to witness someone you've known your whole life just go off the deep end into something that has so many demonstrably false aspects, and watch them start saying believing so much batshit crazy stuff. I don't know of anything comparable, short of a previously typical person developing a severe meth addiction, which is known to cause psychosis.
I wonder in what sense they really do "believe". If they had a strong practical reason to go to a big city, what would they do?
If I meet a random stranger, do I trust them or distrust them? The answer is "both/neither," because a concept such as "trust" isn't a binary logic in such a circumstance. They are neither trustworthy nor untrustworthy, they are in a state of nontrustworthiness (the absence of trust, but not the opposite of truth).
World models tend to have foundational principles/truths that inform what can be compatible for inclusion. A belief that is non-compatible, rather than compatible/incompatible, can exist in such a model (often weakly) since it does not meet the requirements for rejection. Incomplete information can be integrated into a world model as long as the aspects being evaluated for compatibility conform to the model.
Requiring a world model to contain complete information and logical consistency at all possible levels from the granular to the metaphysical seems to be one Hell of a high bar that makes demands no other system is expected to achieve.
> How worried are you that you or someone in your family will become a victim of terrorism -- very worried, somewhat worried, not too worried or not worried at all?
It averages around 35-40% very or somewhat worried.
Most people's worries and anxieties are really misaligned with statistical likelihood.
https://news.gallup.com/poll/4909/terrorism-united-states.as...
>Disaster is rarely as pervasive as it seems from recorded accounts. The fact of being on the record makes it appear continuous and ubiquitous whereas it is more likely to have been sporadic both in time and place. Besides, persistence of the normal is usually greater than the effect of the disturbance, as we know from our own times. After absorbing the news of today, one expects to face a world consisting entirely of strikes, crimes, power failures, broken water mains, stalled trains, school shutdowns, muggers, drug addicts, neo-Nazis, and rapists. The fact is that one can come home in the evening—on a lucky day—without having encountered more than one or two of these phenomena. This has led me to formulate Tuchman's Law, as follows: "The fact of being reported multiplies the apparent extent of any deplorable development by five- to tenfold" (or any figure the reader would care to supply).
https://en.wikipedia.org/wiki/Barbara_W._Tuchman#cite_note-M...
People often "believe" things as a means of signalling others. Deeply held "beliefs" tell us where the troop will go. Using these extremely compact signals helps the group focus through the chaos and arrive at a fast consensus on new decisions. When a question comes up, a few people shout their beliefs. We take the temperature of the room, some voices are more common than others, and a direction becomes apparent. It's like Monte Carlo sampling the centroid and applying some reduction.
This means of consensus is wildly illogical, but slower, logical discussion takes time that baboons on the move don't have. It's a simple information and communication efficiency problem. We can't contextualize everything, and contextualizing is often itself a means of intense dishonesty through choosing the framing, which leads to intense debate and more time.
Efficiency and the prominently visible preservation of each one's interests in the means of consensus are vital. I don't think we have reached anything near optimum and certainly not anything designed for internet scale. As a result, the mind of the internet is not really near its potential.
The best conspiracy theory could be, of course, that other people don’t actually exist. They are a figment of imagination put up by the brain to cope with the utter loneliness.
Has no one considered that up to 11.3 million Soviet citizens might have a sense of humor and have been pretending to believe it for fun?
It drives you crazy. Triggers primal fear for shape mimics and corpses. If you weren't the one looking, it gets people visibly agitated just looking at one. Stick them into fMRI and double blind them with images. It'll probably show up in the data.
It won't take much imagination to suspect same could happen with text.
Is that a transitional issue or fundamental flaw? Is this end of the world? idk. That'll be the open question.
Why does it have to be "it's because they're clinically insane and/or backwards thinking" ? Just because you can't tell apart doesn't mean nobody can't - are those people who are keen to spot AI generated data even a minority, not the majority?
And people want to be special; to find meaning, purpose beyond the daily grind.
The result wasn't very difficult to predict, more likely one of the driving forces behind the push.
While people being impressionable and affected by forces of societal change is not a new phenomenon, I agree that this type of behavior deserves its own label.
As long as AI doesn’t have its own feelings, it doesn’t make sense to feel any kind of attachment towards it, or be influenced by its words in any social sense. The tool doesn’t have any capacity for being social, so the delusion is both self-rooted and self-driven. So, I think I would have preferred to call this AI-driven narcissism instead of AI psychosis.
Model collapse is just fine.
That said, there will be a time when deviations in the expected function of intelligence arising from silicon-based processes will have animal disease counterparts. We just haven’t quite reached that time yet.
As useful metric for when we will be close to that time will be when drone are as responsive as birds, and drone swarms demonstrate as much autonomous group cohesion as bird flocks.
> In psychopathology, psychosis is a condition in which one is unable to distinguish, in one's experience of life, between what is and is not real.
> Narcissism is a self-centered personality style characterized as having an excessive preoccupation with oneself and one's own needs, often at the expense of others.
What we're discussing is a form of psychosis, not narcissism.
> Researchers have demonstrated repeatedly in human surveys the stylized fact that, far from being an oracle or gold standard, a certain small percentage of human responses will reliably be [nonsense]: “jokester” or “mischievous responders”, or more memorably, “lizardman constant” responders—respondents who give the wrong answer to simple questions.
> Below a certain percentage of responses, for sufficiently rare responses, much or all of responding humans may be lying, lazy, crazy, or maliciously responding and the responses are false. This systematic error seriously undermines attempts to study rare beliefs such as conspiracy theories, and puts bounds on how accurate any single survey can hope to be.
> For example, 4% of respondents may endorse the claim ‘lizard-people rule the earth’, 5% of atheists believe in God, a surprising number of adults believe you see by shooting beams from your eyes, and so on. This cautions us against taking survey results about extremely unusual people or traits too literally, or expecting perfectly accurate results, as given the lizardman constant and other crud factors, it is entirely possible that some or all of the outliers may just be the lizardman constant at work.
So is QAnon a religion? Awkward question, but it’s non-psychotic by definition.
Is this psychosis? The answer has to be no
Let's say I believe in dragons, and I start interpreting any evidence as dragon evidence. Furthermore, I start only looking for evidence that could be connected to dragons. It's bad thinking.
The opposite is the good thinking. You look at evidence without searching for anything specific, then you make a hypothesis on what is going on.
Searching for evidence of chatbot-induced psychosis is settling on a cause before looking at evidence. It's obvious that is wrong.
For example, the survey the author did should not have asked if anyone close "had shown signs of AI psychosis". The question is already biased from the start.
The article explores the popular idea that talking to a chatbot can induce psychosis. This paints a picture of a person talking to an AI chatbot and going insane. Then it proceeds to say it's a rare case, therefore shutting down possibilities that this could lead to an epidemic. However, by doing this, the article discourages the reader to think of other possible scenarios (like unaware interaction with AI-produced content) leading to psychological issues.
> All psychopathology was about unconscious emotional conflicts, mainly dating to childhood; if the conflicts were normal or mild, they produced “neuroses”; if they were severe, they produced “psychoses.”
> In addition to 14 validated diagnoses published in the RDC in 1978, a mere two years later DSM-III came out with 292 claimed diagnoses. There is no metaphysical possibility that 278 psychiatric diagnoses suddenly were discovered in two years. They were invented.
In particular, over half a century of personality research had supported the concept of personality “traits” or dimensions, rather than “disorders” or categories.
Where does this leave us? We have to accept DSM-5 definitions from a legal and practical perspective. We have to use them for insurance forms, and to protect ourselves against lawsuits. But we don't have to believe in them.
There's obviously a gulf of potential argument in that definition, but a unique form would be people who report hearing voices, but they're not hostile or angry..so actually it's not a problem.
If you want to communicate about patients, you need an agreed set of categories.
What makes good categories is indeed what's most useful for the related profession(s). They're the ones who actually have to use them to communicate.