Futurism: What doctors say about AI and Psychosis?

Doctors Say AI Use Is Almost Certainly Linked to Developing Psychosis

A consensus is emerging.

By Frank Landymore

Published Dec 30, 2025 8:00 AM EST

More and more doctors are agreeing that using AI chatbots is linked to the delusional, cases of psychosis.
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There continue to be numerous reports of people suffering severe mental health spirals after talking extensively with an AI chatbot. Some experts have dubbed the phenomenon “AI psychosis,” given the symptoms of psychosis these delusional episodes display — but the degree to which the AI tools are at fault, and whether the phenomenon warrants a clinical diagnosis, remains a significant topic of debate.

Now, according to new reporting from The Wall Street Journal, we may be nearing a consensus. More and more doctors are agreeing that AI chatbots are linked to cases of psychosis, including top psychiatrists who reviewed the files of dozens of patients who engaged in prolonged, delusional conversations with models like OpenAI’s ChatGPT.

Keith Sakata, a psychiatrist at the University of California, San Francisco, who has treated twelve patients who were hospitalized because of AI-induced psychosis, is one of them.

“The technology might not introduce the delusion, but the person tells the computer it’s their reality and the computer accepts it as truth and reflects it back, so it’s complicit in cycling that delusion,” Sakata told the WSJ.

The grim trend looms large over the AI industry, raising fundamental questions about the tech’s safety. Some cases of apparent AI psychosis have ended in murder and suicide, spawning a slew of wrongful death suits. Equally alarming is its scale: ChatGPT alone has been linked to at least eight deaths, with the company recently estimating that around half a million users are having conversations showing signs of AI psychosis every week.

One factor of AI chatbots that the phenomenon has brought under scrutiny is their sycophancy, which is perhaps a consequence of their being designed to be as engaging and humanlike as possible. What this looks like in practice is that the bots tend to flatter the users and tell them what they want to hear, even if what the user is saying has no basis in reality. 

It’s a recipe primed for reinforcing delusions, to a degree unprecedented by any technology before it, doctors say. One recent peer-reviewed case study focused on a 26-year-old woman who was hospitalized twice after she believed ChatGPT was allowing her to talk with her dead brother, with the bot repeatedly assuring her she wasn’t “crazy.”

“They simulate human relationships,” Adrian Preda, a psychiatry professor at the University of California, Irvine, told the WSJ.  “Nothing in human history has done that before.”

Preda compared AI psychosis to monomania, in which someone obsessively fixates on a single idea or goal. Some people who have spoken about their mental health spirals say they were hyper-focused on an AI-driven narrative, the WSJ noted. These fixations can often be scientific or religious in nature, such as a man who came to believe he could bend time because of a breakthrough in physics.

Still, the reporting notes that psychiatrists are wary about declaring that chatbots are outright causing psychosis. They maintain, however, that they’re close to establishing the connection. One link that the doctors who spoke with the WSJ expect to see is that long interactions with a chatbot can be a psychosis risk factor.

“You have to look more carefully and say, well, ‘Why did this person just happen to coincidentally enter a psychotic state in the setting of chatbot use?’” Joe Pierre, a UCSF psychiatrist, told the newspaper.

More on AI: Children Falling Apart as They Become Addicted to AI

Frank Landymore

Contributing Writer

I’m a tech and science correspondent for Futurism, where I’m particularly interested in astrophysics, the business and ethics of artificial intelligence and automation, and the environment.

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New Year 2026: Some interesting contributors to X

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Centre of Migration Control … Britain. Worth consideration

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Rwanda Marks Completion of Phase I of Smart Education Project and Launches DigiTruck Initiative

October 6, 2025

1 min read

Author: Jennifer Onyeagoro

The Smart Education Project and the DigiTruck initiative together underscore the government’s commitment to leveraging technology to improve education, enhance digital literacy, and ensure equitable access to learning opportunities across the country.

The Ministry of Education, in partnership with the Ministry of ICT and Innovation and Huawei, has marked the successful completion of Phase I of the Smart Education Project during a ceremony held at Kagarama Secondary School in Kicukiro.

The event also saw the official launch of the DigiTruck, a mobile, solar-powered classroom designed to bring digital learning closer to communities. Equipped with laptops, internet access, and modern learning tools, the DigiTruck represents a major step in Rwanda’s mission to make digital education accessible to all.

Over the next three years, the DigiTruck will travel across all 30 districts of Rwanda, delivering free digital skills training to more than 5,000 youth, girls, and farmers. The initiative is a key component of Rwanda’s national goal to equip one million citizens with digital skills, strengthening inclusion and preparing the workforce for the digital economy.

The Smart Education Project and the DigiTruck initiative together underscore the government’s commitment to leveraging technology to improve education, enhance digital literacy, and ensure equitable access to learning opportunities across the country.

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The Deep View: For some young people, AI is the ‘daily driver’

For some young people, AI is the ‘daily driver’
For young people using AI to think through their finances, retail trading is increasingly likely to come up in conversation.


Retail investing flows grew by 50% between 2023 and 2025, according to JPMorgan data, and investment platform adoption has seen a sharp uptick among people in their twenties. Increasingly, these young investors form their trading strategies with the help of chatbots.
“We’re seeing people using Surf as their daily driver for investment advice for how they want to find opportunities in crypto markets,” Ryan Li, co-founder and CEO of AI crypto trading platform Surf, said. He added that Surf uses custom models in which the data input is curated, so the AI produces higher-quality outputs for users — and, in theory, hallucinates less. 
If Harvey and Open Evidence can be valued in the billions for domain-specific AI businesses, then a similar business could be sold to traders, Li said. He also argued that Surf’s AI model can surface insights and strategies that users couldn’t otherwise find.
And if AI trading companions are going to have legs, fine-tuned vertical startups may be needed, because whether it’s trading or running a vending machine, frontier models aren’t always the best with money.
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The Deep View: AI brings wealth building to non billionaires

AI brings wealth building to non-millionaires



The wealth management business is pretty simple: Help clients manage their finances in exchange for a fee, which is often based on the client’s assets under management. The problem with this setup, according to Joe Percoco, co-founder of investment management startup Titan, is that it incentivizes wealth managers to take on only high-net-worth clients, leaving wealth management services out of reach for younger or less wealthy people (wealth management account minimums can run into the millions).

But AI can give wealth managers “super powers,” making it feasible to service more than just wealthy customers, Percoco said. AI can handle the client life cycle by collecting client information, understanding the client’s situation, considering solutions, and making recommendations. These efficiency gains could unlock the kind of broad access typically available only through brokerages, rather than registered investment advisors (RIAs). “The tools of AI actually enable that to truly democratize for the first time ever, meaning a kid coming out of college can actually have the same quality of advice, capabilities, and price point of a Goldman Sachs private wealth manager,” Percoco said. Still, Percoco doesn’t foresee the human being taken out of the equation.“We’re not too optimistic of people who just throw AI slop at, in theory, one of the highest trust use cases in all of consumer [business],” Percoco said. “We actually don’t believe that’s gonna work, nor do we think the capabilities are there for consumers to truly trust it.” The question, for Percoco, isn’t whether a human will be the one managing clients’ wealth. The question is how many clients can each human take on — 100 or 5,000? Titan’s vision of modernized wealth management earned it the backing of the venture capital firm Andreessen Horowitz. And fellow VC giant Sequoia recently bet on another AI wealth management firm, Nevis. Vertical AI startups have taken off in the legal and medical worlds, and a race is shaping up in the personal finance vertical.
 
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New Atlas: The strange thing your eyes do when thinking gets hard

The strange thing your eyes do when thinking gets hard

By Pranjal Malewar

December 28, 2025

The eyes have it: Our blinking gives away how interested we are in an exchange

The eyes have it: Our blinking gives away how interested we are in an exchange

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The rhythmic action of blinking helps keep our vision sharp. Initially studied only in vision science, blinking is now also recognized as a subtle cue showing how the brain handles attention and resources, even when we are listening. It’s thought that as listening becomes more difficult, we blink less, with each pause indicating sharper focus and alertness.

Concordia University researchers ran two experiments to examine how blinking shifts in response to different kinds of stimuli. The researchers hypothesized that blinks were more than just eye care responses – they may also be small signs that the brain is active. The study’s findings suggest that blinking connects to thinking, helping us tune out background noise so we can focus on one person talking in a noisy room.

Their study found that when we listen harder, we blink less, keeping our eyes open in the moments that matter most, especially when noise makes understanding more difficult.

“We wanted to know if blinking was impacted by environmental factors and how it related to executive function,” said lead author Pénélope Coupal. “For instance, is there a strategic timing of a person’s blinks so they would not miss out on what is being said?”

Two groups of listeners – 21 in the first test, 28 in the second – sat in a silent Montreal lab, 2 m (6.6 ft) from a 35‑inch screen. Wearing eye-tracking glasses, every blink was carefully recorded, with precise start and end times noted, turning eyelids into tiny markers of attention.

In the first test, the 21 individuals listened to 80 sentences with different amounts of background noise, while lighting remained consistent. In the second test, the 28 participants listened to 120 sentences at only two noise levels, quiet and loud, but the lighting changed between dark, medium, and bright.

When we struggle to hear speech in noisy places, our eyes tell a story: blinking slows, with each pause a quiet sign of mental effort. Researchers found this effect is most intense in very bright or very dark settings, where our eyes seem more sensitive to extremes of light, making the drop in blinks sharper than in steady, medium lighting.

“We don’t just blink randomly,” Coupal said. “In fact, we blink systematically less when salient information is presented.”

People blinked less while actively listening to sentences than in the moments before or after, with this suppression most striking in the noisiest settings where speech was hardest to follow. Although blink rates varied widely between individuals – from 10 blinks per minute to as many as 70 – the overall pattern was clear: fewer blinks marked the effort of listening through noise.

The authors noted, “Blinking could serve as a complementary measure to investigate effortful listening.”

Earlier studies on eye behavior mostly looked at pupil size, ignoring blinks. This study rechecked the data and showed that when and how often we blink can point to brain effort. Blink rates are a simple, low‑effort way to measure thinking, both in the lab and in daily life.

Researchers call for deeper studies to see how blink patterns play out in more complex tasks and across different groups of people. They also want to find the exact moment a blink makes us miss sights or sounds, showing how these tiny pauses affect the way we experience the world

The findings are published in the journal Trends in Hearing.

Source: Concordia University

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Neuroscience News: Stroke and Speech

Neuroscience News Logo

Stroke Weakens How the Brain Integrates Speech Sounds

Featured Neurology Neuroscience

·December 29, 2025

Summary: A new study comparing stroke survivors with healthy adults reveals that post-stroke language disorders stem not from slower hearing but from weaker integration of speech sounds. While patients detected sounds as quickly as controls, their brains processed speech features with far less strength, especially when words were unclear.

Healthy listeners extended processing during uncertainty, but stroke survivors did not, suggesting they may abandon sound analysis too early to fully grasp difficult words. The findings highlight neural patterns essential for verbal comprehension and point to faster, story-based diagnostic tools for language impairments.

Key Facts

  • Weakened Integration: Stroke survivors process speech sound features with much lower neural strength despite normal sound detection speed.
  • Reduced Persistence: When words are unclear, they do not sustain processing long enough to resolve ambiguity.
  • Diagnostic Potential: Simple story-listening tasks may replace lengthy behavioral tests for language disorders.

Source: SfN

Following stroke, some people experience a language disorder that hinders their ability to process speech sounds. How do their brains change from stroke? 

Researchers led by Laura Gwilliams, faculty scholar at the Wu Tsai Neuroscience Institute and Stanford Data Science and assistant professor at the Stanford School of Humanities and Sciences, and Maaike Vandermosten, associate professor at the Department of Neurosciences at KU Leuven, compared the brains of 39 patients following stroke and 24 healthy age-matched controls to unveil language processing brain mechanisms.  

This shows a person with a hearing device and the outline of a head and brain.
Additionally, when there was uncertainty about what words were being said, healthy people processed speech sound features longer compared to those who had experienced a stroke. Credit: Neuroscience News

As reported in their Journal of Neuroscience paper, the researchers recorded brain activity while volunteers listened to a story.

People with verbal speech processing issues from stroke were not slower to process speech sounds but had much weaker processing than healthy participants.

According to the researchers, this suggests that people with this language disorder can hear sounds of all kinds as well as healthy people but have issues integrating speech sounds to understand language. 

Additionally, when there was uncertainty about what words were being said, healthy people processed speech sound features longer compared to those who had experienced a stroke. 

This could mean that, following stroke, people do not process speech sounds long enough to successfully comprehend words that are difficult to detect. 

This work points to brain activity patterns that may be crucial for understanding verbal language, according to the authors. 

First author Jill Kries expresses excitement about continuing to explore how this simple approach—listening to a story—can be used to improve diagnostics for conditions characterized by language processing issues, which currently involve hours of behavioral tasks.

Key Questions Answered:

Q: Why do some stroke survivors struggle to understand spoken language?

A: Their brains detect sounds normally but integrate speech features with reduced strength, making comprehension harder even when hearing is intact.

Q: What happens when the spoken words are unclear?

A: Healthy listeners process sound features longer to resolve ambiguity, but stroke survivors stop too soon, leading to missed meaning.

Q: How could this research change diagnostics for language disorders?

A: Story-listening brain recordings may provide a quick, naturalistic alternative to hours of behavioral language testing.

Editorial Notes:

  • This article was edited by a Neuroscience News editor.
  • Journal paper reviewed in full.
  • Additional context added by our staff.

About this stroke and speech processing research news

Author: SfN Media
Source: SfN
Contact: SfN Media – SfN
Image: The image is credited to Neuroscience News

Original Research: Closed access.
The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia” by Laura Gwilliams et al. Journal of Neuroscience


Abstract

The Spatio-Temporal Dynamics of Phoneme Encoding in Aging and Aphasia

During successful language comprehension, speech sounds (phonemes) are encoded within a series of neural patterns that evolve over time.

Here we tested whether these neural dynamics of speech encoding are altered for individuals with a language disorder. We recorded EEG responses from human brains of 39 individuals with post-stroke aphasia (13♀/26♂) and 24 healthy age-matched controls (i.e., older adults; 8♀/16♂) during 25 minutes of natural story listening.

We estimated the duration of phonetic feature encoding, speed of evolution across neural populations, and the spatial location of encoding over EEG sensors.

First, we establish that phonetic features are robustly encoded in EEG responses of healthy older adults.

Second, when comparing individuals with aphasia to healthy controls, we find significantly decreased phonetic encoding in the aphasic group after shared initial processing pattern (0.08-0.25s after phoneme onset).

Phonetic features were less strongly encoded over left-lateralized electrodes in the aphasia group compared to controls, with no difference in speed of neural pattern evolution.

Finally, we observed that healthy controls, but not individuals with aphasia, encode phonetic features longer when uncertainty about word identity is high, indicating that this mechanism – encoding phonetic information until word identity is resolved – is crucial for successful comprehension.

Together, our results suggest that aphasia may entail failure to maintain lower-order information long enough to recognize lexical items.

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aphasiaauditory neurosciencebrain researchlanguagelanguage processingneurobiologyNeurologyNeurosciencescienceSfNstroke

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2026: We need to think in terms of who is the biggest supplier of Rare Earths and the implications

Mario Nawfal

@MarioNawfal

🇨🇳CHINA CONTROLS HALF THE WORLD’S RARE EARTH MINERALS AND THAT’S A MASSIVE PROBLEM

Rare earth elements sound boring until you realize they’re in everything that makes modern life work: smartphones, electric vehicles, wind turbines, fighter jets, and precision-guided weapons. Without them, your iPhone is a paperweight and your military can’t function. China controls 44 million metric tons of the world’s 91.9 million ton reserve. That’s 48% of the global supply. Brazil comes in second at 21 million tons, but they’re still early in development. The US? Only 1.9 million tons, or 2% of global reserves. This is a national security nightmare. America depends almost entirely on imports and foreign processing to access the materials that power everything from consumer electronics to defense systems. If China decides to cut off supply, the entire Western tech and military industrial base grinds to a halt. Trump recently cut a deal with Xi to keep rare earths flowing in exchange for reduced tariffs. His administration is also funding domestic mining projects and partnering with allies to diversify supply chains. The problem: building that infrastructure takes years, and right now China holds all the cards. Source: Visual Capitalist, ZeroHedge

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Ballot Box or Bullets: Policy shift for Muslims. They are opting for the Ballot Box

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