The more I read papers on “AI psychosis” in vulnerable users, the more I resent the feigned warmth and overt anthropomorphism that ChatGPT in particular adopts. Anthropomorphic UI design must be constrained by genuine system competence and aligned with the system’s actual capabilities. Otherwise, it is not merely misleading it is dangerous.
I hadn’t used ChatGPT in months, and today I deleted my account. I’m not against AI, I’m against dangerous AI. #AI #AIPsychosis #HCI
this
20min
Big Tech CEOs AI Psychosis Is A Total Disaster
#HouseofEl
#AI #ArtificialIntelligence #AIPsychosis
When one of Silicon Valley’s most enthusiastic AI CEOs starts warning about “AI psychosis,” it is worth paying attention. Because the real danger may not be that AI is useless it may be that the people making the biggest decisions are the least exposed to the work AI still cannot reliably do.
https://www.youtube.com/watch?v=V3JHuoLD468
Pluralistic: Daily links from Cory Doctorow – No trackers, no ads. Black type, white background. Privacy policy: we don't collect or retain any data at all ever period. [Unofficial]Jun 4Pluralistic: Delusion as a service (04 Jun 2026)
https://fed.brid.gy/r/https://pluralistic.net/2026/06/03/mission-space/
RE: https://mastodon.social/@grheavyroller/116691912336314061
One of the best and more important of Cory Doctorow's essays!
@pluralistic
How thousands of senior executives unironically behave. A million more are waiting in line.
https://www.youtube.com/watch?v=DmU9uovmT2A
Pluralistic: Delusion as a service.
https://pluralistic.net/2026/06/03/mission-space/
Experts discuss concerns about ‘AI psychosis’ and shifting attitudes toward AI adoption
📰 Original title: Making sense of the debate over AI psychosis
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅
This TechCrunch discussion explores the growing debate around so-called “AI psychosis,” a term sparked by Box founder Aaron Levie’s comments suggesting that some tech CEOs may be overly immersed or disconnected in their enthusiasm for artificial intelligence. The conversation, featured on the Equity podcast, brings together TechCrunch journalists who examine whether the tech industry’s leadership is losing touch with how AI tools are actually used in everyday work. While Levie does not reject AI, he argues that executives must actively use these tools to truly understand their real-world limitations and benefits. The discussion highlights broader tensions in the technology ecosystem, including rising public skepticism toward AI integration in consumer products and services. One key example is Google’s increasing use of AI in search, which has generated backlash from users who prefer traditional results, contributing to reported growth in alternative search engines like DuckDuckGo. The article also notes that different companies are taking divergent approaches: some, like Anthropic, are seen as more focused and restrained in product direction, while others, including Google, are criticized for experimenting broadly without fully addressing user concerns. Beyond consumer sentiment, the conversation addresses AI’s impact on the workforce, including layoffs and shifting productivity expectations. Some executives and investors believe AI can dramatically reduce team sizes while maintaining output, though critics argue these claims often come from leaders who are not closely engaged with the actual work being automated. The article ultimately frames AI adoption as a polarized issue, where enthusiasm and skepticism coexist, and suggests that this tension may create opportunities for startups that position themselves either as AI-first or deliberately AI-restricted alternatives.
Experts discuss concerns about ‘AI psychosis’ and shifting attitudes toward AI adoption
📰 Original title: Making sense of the debate over AI psychosis
🤖 IA: It's not clickbait ✅
👥 Users: It's not clickbait ✅
This TechCrunch discussion explores the growing debate around so-called “AI psychosis,” a term sparked by Box founder Aaron Levie’s comments suggesting that some tech CEOs may be overly immersed or disconnected in their enthusiasm for artificial intelligence. The conversation, featured on the Equity podcast, brings together TechCrunch journalists who examine whether the tech industry’s leadership is losing touch with how AI tools are actually used in everyday work. While Levie does not reject AI, he argues that executives must actively use these tools to truly understand their real-world limitations and benefits. The discussion highlights broader tensions in the technology ecosystem, including rising public skepticism toward AI integration in consumer products and services. One key example is Google’s increasing use of AI in search, which has generated backlash from users who prefer traditional results, contributing to reported growth in alternative search engines like DuckDuckGo. The article also notes that different companies are taking divergent approaches: some, like Anthropic, are seen as more focused and restrained in product direction, while others, including Google, are criticized for experimenting broadly without fully addressing user concerns. Beyond consumer sentiment, the conversation addresses AI’s impact on the workforce, including layoffs and shifting productivity expectations. Some executives and investors believe AI can dramatically reduce team sizes while maintaining output, though critics argue these claims often come from leaders who are not closely engaged with the actual work being automated. The article ultimately frames AI adoption as a polarized issue, where enthusiasm and skepticism coexist, and suggests that this tension may create opportunities for startups that position themselves either as AI-first or deliberately AI-restricted alternatives.
Indeed. If the output produced by LLMs can be seen as extremely professional, that's because there's a whole cleaning/curating/editing chain working all the time behind the scenes. Of course that chain only works due to the intelligence, judgment, and critical thinking of human workers...
"There is a certain wildness in the tech industry these days that both mimics previous eras of large changes, like cloud computing (runaway costs in the early days), and is like nothing we’ve ever seen before (record revenues accompanied by mass layoffs).
One possible explanation: Tech executives, especially CEOs, are collectively suffering from delusions of AI grandeur. And at least one tech CEO has said as much out loud: Box founder Aaron Levie.
“CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI,” Levie wrote on X.
CEOs “play with AI,” develop a prototype, or generate a contract, to use Levie’s examples, and then make the leap to believing agents can do the work.
But these top-level executives aren’t the people who have to review code, discover bugs, and identify calls to hallucinated libraries before software is deployed. They aren’t responsible for training AI models on a company’s idiosyncratic contract terms, nor do they have to spend days combing through contracts to find sneaky terms, as Levie indicates.
In other words, Levie’s theory posits, CEOs don’t really understand processes well enough to know what really can and can’t be automated. But that lack of knowledge doesn’t stop them from acting on their beliefs.
It’s important to note that Levie is not an AI hater. Quite the opposite. He mostly posts AI positivity on X to his 2.7 million followers, writing blogs titled “Headless software is the future” on how software built for AI agents is the way forward."
https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/
#AI #AIHype #CEOs #AIPsychosis #Hallucinations #GenerativeAI #LLMs
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