Dissociation: Signs and Causes in Children

When people use the word dissociation, it can sound alarming. You may have seen it on social media, heard your child mention it, or noticed your child seeming “checked out” and wondered if that’s what’s happening. Dissociation can be confusing because it exists on a spectrum — from everyday experiences like daydreaming to more serious symptoms that may signal that a child is overwhelmed or struggling. The good news is that dissociation is often a temporary coping mechanism, and when it does become a problem, there are effective ways to help.

What is dissociation?

In simple terms, dissociation is a kind of mental disconnection. “When I think of dissociation, I think of there being some sort of disconnect between an individual and their sense of self, or a period of time that you later can’t recall, or feeling like you’re disconnected from your body,” says Lauren Allerhand, PsyD, a clinical psychologist at the Child Mind Institute and co-director of its DBT program.

Some kids describe dissociation as feeling spaced out, numb, or disconnected from their body or surroundings. Others say they feel like they’re watching themselves from outside their body, or that the world around them doesn’t feel real. “There’s some period of time where your normal sense of flow is disrupted,” Dr. Allerhand explains.

Is dissociation normal?

In its mildest form, dissociation is a commonplace occurrence. Kids might daydream in class, zone out during something boring like a long car trip, or feel detached when they are overwhelmed in some way. These experiences are usually not a cause for concern. “Our brains do a really good job of protecting ourselves,” Dr. Allerhand says. “Sometimes our brains develop strategies to protect us that are healthy, and other times they develop strategies that might work in short bursts but become less helpful if they happen too much.”

When dissociation happens often, or interferes with daily life, it may signal that a child is struggling with something more serious than ordinary, intermittent stress. “If it’s happening all the time, it’s less effective as a coping mechanism” because of the toll it can take when there is memory loss, confusion, and feeling disconnected to the self, she explains.

What does dissociation feel like?

Children and teens may describe dissociation differently. Some say they feel:

  • Like they’re in a dream
  • Emotionally numb
  • Detached from their body
  • Like they’re watching themselves in a movie
  • Like things around them aren’t real

“Kids might say they feel like a robot. Everything feels fake around them,” Dr. Allerhand says. “Younger children may not have the words to describe what they’re experiencing. Instead, parents might notice their child seems unusually quiet, unresponsive, or ‘not themselves.’”

Why do kids dissociate?

Dissociation is often linked to stress or overwhelming emotions — kids may dissociate when they feel unable to cope with what’s happening around them. “This could be a response to any sort of highly intense emotion or experience,” Dr. Allerhand says, such as:

  • Trauma
  • Anxiety or panic
  • Intense emotions
  • Depression
  • Major life changes
  • Overwhelming stress

“It’s another way of coping with stress or trauma,” says Tanvi Bahuguna, PsyD, a clinical psychologist at the Child Mind Institute who specializes in trauma and mood disorders. “There’s this psychological process that helps them disconnect from overwhelming pain.” Some kids dissociate during panic attacks or periods of intense anxiety. Children who have experienced significant adversity may be more likely to dissociate. These experiences can include:

  • Abuse
  • Neglect
  • Family instability (housing instability, domestic violence, addiction)
  • Loss of a family member, especially through violence or suicide

Still, experts are quick to note that dissociation doesn’t automatically mean a child has experienced trauma or has a serious disorder. “There are lots of exits on this highway before we’re at a dissociative disorder,” Dr. Allerhand says, adding that a full-blown dissociative disorder is very rare in children.

Mild vs. serious dissociation

It can be hard to recognize when a child is experiencing more serious dissociation because it doesn’t always look different from daydreaming or inattention. One key difference is distress. “Spacing out or not paying attention is not often experienced as distressing,” Dr. Allerhand says. Moderate or serious dissociation “is often somewhat distressing.” Kids who are daydreaming are still connected to themselves and their surroundings; kids who are experiencing more serious dissociation may feel cut off from their body, emotions, or reality altogether.

Using grounding techniques for dissociation

If you think your child may be dissociating, the most important thing you can do is not panic or try to get your child to “snap out of it.”  “The number one thing a parent can do is stay as calm as possible,” Dr. Bahuguna says. Speak gently, use short sentences, and reassure your child that they’re safe. Saying your child’s name and reminding them you’re there can help them reconnect.

Grounding techniques can also bring kids back into the present moment. One common method is called the 5-4-3-2-1 technique: Ask the child to name five things they can see, four things they can feel, three things they can hear, two things they can smell, one thing they can taste or imagine tasting. Other grounding strategies include:

  • Deep breathing
  • Squeezing a stress ball
  • Holding something cold
  • Gently moving the body

If you find your child often dissociates, Dr. Allerhand recommends helping them make a plan for it. During a calm moment, talk with your child about what they find helpful. “I noticed that this is happening. How can I help you when this is happening?” she suggests asking. Having a plan in advance makes it easier to respond in the moment — and in the meantime, stay nearby and make sure your child is safe until the episode passes.

When should parents seek help for a child who dissociates?

If dissociation is frequent, distressing, or associated with changes in your child’s functioning, seeking professional support is appropriate. “If something dissociative happens, and there’s a really big change in your child’s functioning, then I would be concerned,” Dr. Allerhand says.

Signs it may be time to reach out include:

  • Memory gaps after the episode
  • Noticeable personality changes
  • Difficulty at school
  • Withdrawal from friends or activities
  • Significant distress or confusion

A good place to start would be talking to your pediatrician, who may refer you to a mental health professional. “If your child is displaying behaviors that seem out of the ordinary, you should trust your instincts,” Dr. Allerhand says.

How to identify dissociation

To determine whether a child is dissociating, a mental health professional gathers information from multiple sources, including parents, the child, and sometimes teachers, asking about the child’s behaviors, history, and any recent stressors or changes in behavior.

“The first thing would be a structured diagnostic interview with a qualified clinician,” Dr. Allerhand explains. “Parents bring the history and describe the behavior, and then the clinician meets with the child.” Clinicians also consider whether dissociation might be a symptom of another condition, such as post-traumatic stress disorder, borderline personality disorder, anxiety (especially panic disorder), and depression.

“It’s really gathering history, meeting the child, observing the child, and figuring out what this cluster of behaviors leads to,” she says. It’s more frequent to find that dissociation is a result of another disorder than an actual dissociative disorder.

How is dissociation treated?

Treatment depends on what’s driving the dissociation. If trauma is involved, therapy may focus on helping the child process difficult experiences and build coping skills. Evidence-based approaches include trauma-focused cognitive behavioral therapy (TF-CBT) and eye movement desensitization and reprocessing (EMDR).

If anxiety or emotional overwhelm is the primary cause, treatment may focus on emotion regulation, grounding techniques, and identifying triggers and early warning signs. Therapy, such as dialectical behavior therapy (DBT), typically involves both children and parents, helping families recognize patterns and respond in supportive ways.

For more severe or persistent dissociation, treatment may happen in phases — beginning with safety and stabilization, then skill-building, and eventually, when appropriate, processing difficult experiences. “The goal is helping the child learn to cope with their experience and stay in their body,” Dr. Allerhand says.

What are dissociative disorders?

In children and teens, dissociation is usually a symptom of another condition. But in cases of very serious early trauma, abuse, or neglect, it can progress into a full-blown disorder. There are a number of dissociative disorders, including:

  • Dissociative identity disorder (what was once called multiple personality disorder) involves two or more distinct personality states and gaps in memory and is typically linked to significant early trauma. Parents who search online may find alarming information, but Dr. Allerhand says this condition is very rare in kids.
  • Dissociative amnesia involves gaps in memory that can’t be explained by ordinary forgetfulness — such as not remembering important personal information or periods of time — and is often associated with stressful or traumatic experiences.
  • Depersonalization/derealization disorder involves feeling detached from oneself, as though watching yourself from outside your body, or feeling that the world around you isn’t real.

These disorders sometimes attract media attention, but they are extremely rare in children. What’s important for parents to know is that if you see dissociative behavior in a child, it’s most likely a normal coping mechanism for a child experiencing some stress or intense emotion. If it persists, is causing distress, or is interfering with a child’s life, it’s time to consult a pediatrician or mental health professional. Identifying what might be causing the behavior is the first step to getting appropriate treatment.

Frequently Asked Questions

What is dissociation?

Dissociation is a mental disconnection from your thoughts, feelings, body, or surroundings. Kids may feel spaced out, numb, or like they’re watching themselves from the outside, as if the world doesn’t feel real.

What are common symptoms of dissociation?

Common signs include feeling detached from the body, emotionally numb, or like you’re in a dream. Some kids seem unusually quiet or “not themselves,” while others have trouble recalling what happened during that time.

What causes dissociation?

Dissociation is often a response to stress, anxiety, or overwhelming emotions. It can also be linked to trauma, major life changes (such as the sudden loss of a family member), or intense feelings the child doesn’t yet know how to manage.

How can you stop dissociating?

Grounding techniques can help bring you back to the present moment, like naming what you see, hear, and feel, or focusing on breathing. Having a plan for what you will do the next time can make it easier to manage when it happens.

The post Dissociation: Signs and Causes in Children appeared first on Child Mind Institute.

The Download: the North Pole’s future and humanoid data

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Digging for clues about the North Pole’s past

In the past, getting to the North Pole involved a treacherous trip through ice many meters thick. But last year, a research vessel encountered open water and thin ice, which created an easy passage. It provided a reminder of how quickly the Arctic is changing. 

Now scientists are digging deep below the seabed to find out if the Arctic Ocean was ever ice-free—and what that could mean for the future of Earth’s northernmost waters. Here’s what they hope to discover.

—Tim Kalvelage

This story is from the latest issue of our print magazine, which is all about nature. Check out the full issue here, and subscribe to get the next one when it lands. 

Humanoid data: 10 Things That Matter in AI Right Now

I was recently invited to join an app that would pay me to film myself doing tasks like putting food in a bowl and microwaving it. Another site asked if I’d like to remotely control a robotic arm to help improve its dexterity. What on earth is happening?

These examples are just part of a growing push by robotics companies to collect data on our movements for training humanoids. As the race for real-world data heats up, our everyday movements are being turned into training data. Read the full story.

—James O’Donnell

Humanoid data is one of our 10 Things That Matter in AI Right Now, a new look at the big ideas, trends, and technologies really worth your attention in the buzzy world of AI.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Google, Microsoft, Amazon, and Meta have all set AI spending records
Collectively, they’re up 71% on the same quarter last year.  (NYT $)
+ Microsoft, Google and Amazon reported big payoffs from the splurge. (FT $)
+ But Meta’s shares slid after its plans spooked investors. (BBC)
+ What even is the AI bubble? (MIT Technology Review)

2 The White House opposes Anthropic’s plan to expand Mythos access
It’s concerned about the model’s cyber risks. (Bloomberg $)
+ And worried that the government will lose compute access. (WSJ $)
+ Anthropic is seeking funding at a valuation over $900 billion. (Bloomberg $)

3 Elon Musk has claimed OpenAI’s leaders “looted the nonprofit”
During testimony, Musk said he “was a fool” for trusting them. (Gizmodo)
+ But he had raised his own concerns about OpenAI’s non-profit status. (The Verge)
+ The case could reshape the AI landscape. (MIT Technology Review)

4 Autonomous vehicles may be worsening
According to emergency first-responders, glitches are increasing. (Wired)

5 OpenAI has abandoned much of its Stargate plan
It will no longer develop its own data centers. (FT $)
+ The project’s compute requirements have been questioned. (MIT Technology Review)

6 A convicted Harvard scientist is rebuilding a brain-computer lab in China
He had previously been named the world’s top chemist. (Reuters $)
+ But was then convicted for lying about payments from China. (NYT $)

7 Families have sued OpenAI over a mass shooter’s use of ChatGPT
They say OpenAI provided a dangerously defective version of the chatbot. (NPR)

8 Apple is reportedly close to giving up on the Vision Pro
After the latest model flopped. (MacRumors

9 Senators are interrogating US AI firms on safeguards against China
Over fears of IP theft. (Axios)

10 Friendly AI chatbots are more likely to be inaccurate
A new study found kinder answers contained more mistakes. (BBC)

Quote of the day

“Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user’s query.” 

—OpenAI instructs Codex to avoid critter talk in a system prompt for the coding agent, Ars Technica reports.

One More Thing

illustration of a house with numbered features

ARTHUR MOUNT


Is this the most energy-efficient way to build homes?

When engineers began designing an ultra-efficient home in the 1970s, they realized the trick wasn’t generating energy in a greener way, but using less of it. They needed to make a better thermos, not a cheaper coffee maker.

That idea helped inspire today’s passive-house standard: airtight buildings that can cut energy use by up to 90% through better windows, insulation, and ventilation.

Although they’re often considered a cold-climate approach, passive houses actually have universal benefits. Find out what makes them so efficient.


—Patrick Sisson

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Finally, someone built a gaming PC inside a microwave that runs DOOM.
+ Experience the rhythm of the city through this rapid-fire collage of urban photography.
+ Get a dose of pure cuteness as these tiny snow leopard cubs leave their den for the first time.
+ If you’re staring at a random assortment of groceries, SuperCook will find a recipe based on what’s already in your pantry.

Who Gets a Second Cancer—and When? Large Study Reveals Complex Patterns

As cancer survival rates improve, a new challenge is coming into sharper focus: what happens after the first cancer is treated. A large population-based study drawing on decades of U.S. registry data offers one of the most comprehensive looks yet at the risk of subsequent primary cancers (SPCs)—and reveals a complex, evolving landscape shaped by age, sex, and generational exposure. The work was published in PLOS Medicine.

Using data from more than 3.3 million individuals diagnosed with a first primary cancer between 1975 and 2019, investigators from the Virginia Commonwealth University (VCU) School of Medicine analyzed nearly 30 million person-years of follow-up, identifying more than 510,000 second cancers. Their findings, based on Surveillance, Epidemiology, and End Results (SEER) registries, show that SPC risk is not static but varies significantly depending on when patients were born, how old they were at diagnosis, and the type of cancer they initially had.

“We have follow-up guidelines after treatment for the primary cancer, but we don’t really know what risk profile these patients fall into for another cancer,” said Susan Hong, MD, who co-directs a cancer survivorship outcomes research program at VCU and co-directed the study. “They’re not average-risk individuals—but they’re not necessarily at extremely high risk across the board either. That’s where it becomes very nuanced and complex.”

Age and sex drive risk—but not uniformly

The analysis confirmed that SPC incidence increases with age at first cancer diagnosis, rising substantially in both men and women, though more steeply in males. Among women, rates climbed from 915 per 100,000 person-years at ages 35–39 to 1,980 at ages 75–79; in men, the increase was from 1,228 to 2,945.

But these patterns were not consistent across all cancer types. For breast cancer survivors, the risk of developing a second cancer remained relatively stable regardless of age at diagnosis—a finding that surprised the investigators.

“I was kind of surprised that the risk of subsequent cancer didn’t vary by age among breast cancer survivors,” said Hui Cheng, PhD, the study’s lead analyst. “I thought older patients would have higher risk, but that wasn’t necessarily the case.”

By contrast, survivors of lung and bladder cancers and melanoma showed a clear age-related increase in SPC risk, suggesting that surveillance strategies may need to differ significantly by index cancer type.

Cohort effects point to environmental and behavioral drivers

One of the study’s most striking findings emerged from its age–period–cohort modeling: SPC risk peaked among individuals born between 1935 and 1945, then declined in more recent birth cohorts—with notable exceptions.

Researchers observed rising risks among female lung cancer survivors and male bladder cancer survivors, even as overall SPC incidence declined in more recent decades. The cohort-specific patterns hint at underlying environmental or behavioral exposures that vary across generations.

“We observed higher risk in cohorts born in the ’40s and ’50s,” Cheng said. “If we think back, those individuals were young adults during peak tobacco use, which may be a contributing factor. But we don’t have individual-level smoking data, so we can’t confirm that directly.”

This limitation underscores a key challenge of large registry-based studies: while they offer statistical power and long-term follow-up, they often lack granular data on treatment exposures, genetics, and lifestyle factors.

Treatment advances and unintended consequences

The findings also reflect the dual-edged nature of cancer treatment progress. As therapies improve and patients live longer, the window for developing late effects—including second malignancies—widens.

“We’re doing so well treating primary cancers, and people are living longer,” Hong said. “But we also need to think about what risk profile these patients fall into over time.”

Radiation therapy and certain chemotherapies are known contributors to secondary malignancies, with risks often emerging 10 to 15 years after exposure. Yet without detailed treatment data, the current analysis cannot disentangle these effects.

Instead, the study serves as what investigators describe as a “hypothesis-generating” effort—mapping broad patterns that can guide more targeted research.

Toward risk-stratified survivorship care

“We’re trying to figure out how to risk-stratify patients and pay attention to their long-term health care needs without overreacting or underreacting,” Hong said.

In practice, that could mean more intensive surveillance for older survivors of certain cancers, while maintaining consistent monitoring across age groups for others, such as breast cancer.

The findings also highlight gaps in the current survivorship infrastructure—particularly for adult-onset cancers. While pediatric oncology has long benefited from coordinated long-term follow-up systems, similar frameworks are less developed for adult survivors.

“There’s been a long-standing effort to follow childhood cancer survivors, but we don’t have that kind of system in place for adults,” Hong noted. “Now that we’re seeing more cancers in younger adults, we need to think about how to address decades of survivorship.”

A starting point for deeper investigation

Ultimately, the study raises as many questions as it answers. Why do certain cohorts carry higher risks? How do treatment regimens, genetics, and lifestyle interact to drive SPC development? And which risk factors are modifiable?

The research team is already looking ahead to studies that can incorporate more detailed patient-level data, with a focus on identifying actionable prevention strategies.

“We’re very interested in understanding what factors are associated with better or worse outcomes—especially modifiable risk factors,” Cheng said.

The post Who Gets a Second Cancer—and When? Large Study Reveals Complex Patterns appeared first on Inside Precision Medicine.

Single-Cell Survival Modeling Tool Offers New Precision in Cancer Prognosis

Oregon Health & Science University (OHSU) researchers have developed a first of its kind tool, scSurvival, that directly links information from individual tumor cells to patient survival outcomes, allowing clinicians to understand which specific cells are driving disease progression rather than treating them all the same.

“Traditional survival models in cancer rely on bulk data, which average signals across millions of cells and obscure important heterogeneity,” explained senior author Zheng Xia, PhD, associate professor of biomedical engineering in the OHSU School of Medicine and a member of the OHSU Knight Cancer Institute. “Tumors are highly complex ecosystems where different cell subpopulations can have very different and sometimes opposing effects on patient outcomes.”

He told Inside Precision Medicine that “scSurvival is designed to directly model survival using single-cell data, preserving this heterogeneity. Instead of treating a tumor as a single entity, it treats it as a collection of individual cells and learns which specific subpopulations are most associated with survival outcomes. This enables both more accurate prediction and deeper biological insight.”

The tool was designed using a statistical method known as an attention-based multiple-instance Cox regression framework, which constructs survival prediction models from single-cell cancer cohort data while simultaneously identifying cell subpopulations that are strongly associated with patient risk.

“The attention mechanism preserves cellular heterogeneity within each patient, allowing [cell] subpopulations with higher attention scores to be more closely linked to survival probability,” the researchers explain in Cancer Discovery. “The resulting outputs of scSurvival are the attention-adjusted hazard score for each cell along with patient-level risk scores.”

Xia and team tested the performance of scSurvival in two cohorts that included 32 patients with melanoma and 124 patients with liver cancer. Together, the cohorts provided single cell RNA sequencing data for more than 1.1 million individual cells.

They found that key immune cell types were enriched for higher- or lower-hazard cells. For example, monocytes/macrophages were enriched for high-risk subpopulations in both the melanoma and liver cancer cohort, but B cells were enriched for low-risk subpopulations in the melanoma cohort and high-risk subpopulations in the liver cancer cohort.

In both groups, the tool accurately predicted patient outcomes, with cells taken from melanoma patients who did not respond to immunotherapy having significantly higher hazard scores than those taken from responders.

Xia noted that the information scSurvival provides has several translational applications. “Differential gene expression between high- and low-risk cells can be used to develop prognostic biomarkers,” he said. “Pathways enriched in high-risk populations may reveal actionable therapeutic targets, while the abundance of specific cell types can support patient stratification for treatment selection. Importantly, these insights are derived at single-cell resolution, providing greater biological precision than bulk approaches.”

At present, scSurvival is primarily a research tool but Xia believes that longer term, it has potential clinical relevance. “For example, signatures derived from survival-associated cell populations could be translated into more practical assays (e.g., bulk RNA or targeted panels) for patient stratification,” he suggested. “However, direct clinical deployment would require further validation, simplification, and standardization.”

According to Xia, one of the biggest challenges to widespread adoption of the tool is the limited availability of large, well-annotated single-cell datasets with matched survival data, as single-cell sequencing is not yet routine in clinical workflows. But as more clinical trials adopt single-cell sequencing, he expects scSurvival to see broader use in resolving disease at cellular resolution.

The investigators now plan to extend the framework to incorporate spatial transcriptomics, which will allow them to account for how cells are organized within the tumor microenvironment. “We also aim to improve the model’s robustness across datasets and sequencing platforms, and to enhance its biological interpretability. Ultimately, we hope to translate the survival-associated signatures identified by scSurvival into clinically practical tests,” Xia said.

The study findings were also presented at the American Association for Cancer Research Annual meeting 2026 and the open-source scSurvival program and its tutorials are freely available at GitHub, Zenodo and Code Ocean.

The post Single-Cell Survival Modeling Tool Offers New Precision in Cancer Prognosis appeared first on Inside Precision Medicine.

The Download: storing nuclear waste and orchestrating agents

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

It’s time to make a plan for nuclear waste

Today, nuclear energy enjoys rare support across the political spectrum. Public approval has spiked, and Big Tech is throwing money around to meet rising electricity demand. That newfound interest is exactly why it’s time to talk about an old problem: nuclear waste.

In the US, nuclear reactors produce about 2,000 metric tons of high-level waste each year—and there’s nowhere to put it. Now, the need for a permanent storage solution is becoming urgent. Here’s what’s at stake.

—Casey Crownhart

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. Sign up to receive it in your inbox every Wednesday.

Orchestrated agents are coming for white-collar work

When people say AI will transform industries, what they have in mind—whether they know it or not—are AI agents. ChatGPT showed AI can talk. But to change the world, it needs to do stuff.

The real power comes when agents work as teams, coordinating multiple roles to tackle complex tasks. Apps like Codex and Claude Cowork offer a glimpse of this shift, bringing multi-agent general-purpose productivity tools.

In theory, networks of AI agents could do to white-collar knowledge work what assembly lines did to manufacturing. That’s the vision. But as agents move into real-world systems, the risks grow too. Read the full story.

—Will Douglas Heaven

Agent Orchestration is one of the 10 Things That Matter in AI Right Now, MIT Technology Review’s guide to what’s really worth your attention in the busy, buzzy world of AI. We’re unpacking one item from the list each day here in The Download, so stay tuned.

MIT Technology Review Narrated: no one’s sure if synthetic mirror life will kill us all

In February 2019, a group of scientists proposed a high-risk, cutting-edge, irresistibly exciting idea that the National Science Foundation should fund: making “mirror” bacteria.

These lab-created microbes would be organized like ordinary bacteria, but their proteins and sugars would be mirror images of those found in nature. Researchers believed they could reveal new insights into building cells, designing drugs, and even the origins of life.

But now, many of them have reversed course. They’ve become convinced that mirror organisms could trigger a catastrophic event threatening every form of life on Earth. Find out why.

—Stephen Ornes

This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Elon Musk says Sam Altman “stole a charity” at the OpenAI trial
Musk testified for the first time yesterday in the landmark legal showdown. (FT $)
+ He said OpenAI was founded as a non-profit to avoid a “Terminator outcome.” (Wired $)
+ And claimed he came up with the idea for the company. (Reuters $)
+ The trial could upend the global AI race. (MIT Technology Review)

2 The White House has plans to bypass Anthropic’s blacklisting
It’s drafting guidance to sidestep the supply-chain risk designation. (Axios)
+ The White House is also meeting other tech firms to discuss AI risks. (Politico)
+ The Pentagon’s culture war against Anthropic has backfired. (MIT Technology Review)

3 OpenAI is tightening ties with Amazon after retreating from Microsoft
AWS customers are getting extra access to OpenAI systems. (NBC News)
+ While OpenAI gets new users and cloud-computing capabilities. (CNBC)

4 AI bots told scientists how to create biological weapons
And unleash them in public spaces. (NYT $)
+ AI will change war forever. (MIT Technology Review)

5 China has suspended robotaxi licenses after a scary outage
Dozens of Baidu vehicles suddenly stopped last month. (The Verge)
+ Chinese robotaxi firms are planning global expansions. (Guardian)

6 Meta has been found in breach of EU rules on protecting children
After failing to block access to Facebook and Instagram. (Guardian)
+ Parents are forcing schools to roll back classroom tech use. (NYT $)

7 AI is spotting pancreatic cancer years before symptoms appear
 A study found it could catch the tumor early enough to treat. (Bloomberg)

8 The Iran war is disrupting data center rollouts
Oaktree-owned Pure DC is the latest firm to pause investments. (CNBC)

9 SpaceX is tying Elon Musk’s pay to Mars colonization goals
It’s set lofty goals for his jaw-dropping compensation. (Reuters $)

10 AI has reconstructed the face of an ancient Pompeii victim
 Technology is reshaping our understanding of the distant past (NPR)

Quote of the day

“Overnight, without you even knowing it, your own life chances, the life chances of your children, will be dependent on people continuing to prop up Musk’s visions of how the world should look.”

—Elon Musk biographer Michel Martin tells NPR how the Tesla tycoon is shaping our lives.

One More Thing

a person with luggage walks through and airport setting

NEIL WEBB


Inside Clear’s ambitions to manage your identity beyond the airport

If you’ve ever been through a large US airport, you’re probably aware of Clear, the identity verification service that uses biometric scans to whisk travelers past standard security checks.

Now Clear wants to expand that “face-first” experience from airports to just about everywhere, from retailers and banks to even your doctor’s office. Its CEO has designs on making Clear the “identity layer of the internet” and the “universal identity platform” of the physical world.

All you have to do is show up—and show your face. But as biometric identity systems go mainstream, concerns about privacy, security, and control are becoming harder to ignore. And the cost of convenience may not be shared equally. Discover what’s at stake


—Eileen Guo

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Discover why the eight-hour night is a modern invention.
+ This artist creates masterpieces using only a vintage typewriter and a lot of patience.
+ Test your local knowledge with this game that drops you in a random Street View location.
+ Watch this incredible feat of precision piloting as a race aircraft touches down on a 120km/h cargo train.

Effects of bifrontal-transcranial direct current stimulation combined with music listening on sleep quality, cortical activation and functional connectivity in patients with insomnia: a randomised controlled trial by fNIRS

BackgroundAlthough music listening and transcranial direct current stimulation (tDCS) alone have certain effects in the treatment of insomnia, the sleep regulatory effects and neural mechanisms of the combined treatment in patients with insomnia disorder (ID) are unclear. This study aimed to investigate the efficacy of combined bifrontal-tDCS (F3: anode, F4: cathode) with music listening in patients with ID using functional near-infrared spectroscopy (fNIRS).Methods76 ID patients were randomly divided into an intervention group (n=38) and a control group (n=38), and received 4 weeks of a total of 20 sessions of music + tDCS therapy and music + sham tDCS therapy (30-second stimulation with fade-in/fade-out to mimic somatic sensations), respectively. The Pittsburgh Sleep Quality Index Scale (PSQI), Self-rating Depression Scale (SDS), Self-rating Anxiety Scale (SAS), and Perceived Stress Scale (PSS-14) were compared between the two groups before and after treatment. Oxy-haemoglobin (HbO2) concentration and functional connectivity (FC) were assessed during the verbal fluency task using fNIRS.ResultsCompared with the control group, the PSQI total score (mean difference: -2.57 points, 95% CI: -4.43 to -0.71, p = 0.001), PSQI sub-scores except “sleep disturbance and daytime dysfunction”, SDS and SAS scores of the intervention group improved significantly after treatment. It was observed by fNIRS that the HbO2 concentration in the medial prefrontal cortex (mPFC), left dorsolateral prefrontal cortex (DLPFC), right ventrolateral prefrontal cortex, and right superior frontal cortex (SFC) increased significantly after treatment in the intervention group but was not superior to the control group. In addition, the FC enhancement of left SFC-left DLPFC and left SFC-mPFC after treatment was significantly better in the intervention group than in the control group, and the PSQI improvement was positively correlated with the FC enhancement of channel-averaged and left SFC-right DLPFC.ConclusionsCombining bifrontal-tDCS with music listening is more helpful in improving sleep quality and prefrontal functional connectivity in ID patients compared with music listening alone. For ID patients, music electrical stimulation headphones may be a safe, effective, and convenient new treatment strategy.Clinical trial registrationhttps://www.chictr.org.cn/, identifier ChiCTR2400086233.

It’s time to make a plan for nuclear waste

Today, nuclear energy enjoys a rare moment of support across the political spectrum in the US. Interest from tech companies that are scrambling to meet demand for massive data centers has sparked a resurgence of money and attention in the industry. That newfound interest is exactly why it’s time to talk about an old problem: nuclear waste. 

In the US alone, nuclear reactors produce about 2,000 metric tons of high-level waste each year. And there’s nowhere to put it.

Though newly popular, the nuclear program in the US is nothing new. The US hosts more reactors and production capacity than any other country in the world. And yet nearly seven decades after the first permanent nuclear facility in the US went online, there’s still not a long-term solution for nuclear waste. 

Used fuel is largely stored onsite at operating and shut-down reactors, in pools and casks made of steel and concrete. Experts generally agree that these methods are safe, but they’re not designed to be permanent.

The leading strategy around the world for long-term storage of this high-level radioactive waste is to house it in a deep geological repository—dig a hole, put radioactive material down there, and fill it up with concrete. These holes, hundreds of meters underground, are designed to be a permanent home.

There aren’t any operating geological repositories for spent fuel yet, but some countries are well on their way. Finland is the furthest along; as of 2026, the country is testing its facility. Final approvals are expected soon, and operations could start later this year. Some other countries aren’t far behind.

France is home to over 50 nuclear reactors, and its grid gets more of its power from nuclear than any other. The country also has the world’s most established program for reprocessing spent fuel. The process separates out the plutonium and uranium to create a type of fuel known as mixed oxide (MOX) fuel. But reprocessing isn’t a perfect recycling loop, so the leftovers from this process still need somewhere to go. The country currently stores waste onsite at the La Hague reprocessing plant, but it plans to build a repository. Initial approvals could come later this decade, and pilot operations could start up by 2035.

Technically, the US also has a destination for its spent fuel: Yucca Mountain in Nevada. The site, which is on federal land, was designated by Congress in 1987. However, progress has entirely stalled out because of political opposition. In 2011, the federal government stopped providing funding for the site, and for roughly a decade, there’s been no activity to speak of.

In the meantime, waste continues to pile up.

The nuclear industry is kicking into a new gear around the world. China is home to the world’s fastest–growing nuclear energy program, and countries including Bangladesh and Turkey are building their first reactors.

Even the long-established US program is seeing growth: Interest in and approval for nuclear energy have spiked, and Big Tech is throwing money around to meet rising electricity demand. Companies are proposing (and beginning to receive regulatory approval for) next-generation reactors, which employ different coolants, fuels, and designs.

Given all this new interest, and the impending arrival of new types of nuclear waste, it’s time for nuclear companies, as well as their powerful customers, to push for progress on building geological storage facilities. As the richest country on the planet and home to a large chunk of the activity in next-generation reactors, the US should aim to join the leaders rather than continue to lag behind. 

Directing even a small fraction of the recent surge in funding and attention to progress on waste could make a difference. Some experts are calling for a new organization in the US to manage nuclear waste rather than leaving it to the Department of Energy. This organization would mirror programs in Finland, Canada, and France.

The process of planning, building, and commissioning a permanent solution for nuclear waste is a long one. Finland started planning in the 1980s and selected its site in the early 2000s, and it’s nearly ready to start accepting waste. For countries that don’t have a permanent storage solution sorted, the best time to start was decades ago. But the second-best time is now. 

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here

The Download: Musk and Altman’s legal showdown, and AI’s profit problem

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Elon Musk and Sam Altman are going to court over OpenAI’s future

Elon Musk and OpenAI CEO Sam Altman head to trial this week in a case with sweeping consequences. Ahead of OpenAI’s IPO, the court could rule on whether the company can exist as a for-profit enterprise. It could even oust its leadership.

Musk, an OpenAI co-founder, claims he was deceived into bankrolling the firm under false pretenses. He’s seeking $134 billion in damages, the removal of Altman and president Greg Brockman, and the company’s restoration to a non-profit.

Find out how the trial could upend the global AI race.

—Michelle Kim

The missing step between hype and profit

In a celebrated South Park episode, a community of gnomes sneak out at night to steal underpants. Why? The gnomes present their pitch deck. “Phase 1: Collect underpants. Phase 2: ? Phase 3: Profit.” It’s a business plan that captures the current state of AI. 

Companies have built the tech (Step 1) and promised transformation (Step 3). But how they get there is still a big question mark. Read about the potential paths forward.


—Will Douglas Heaven

This story originally appeared in The Algorithm, our weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.

Welcome to the era of weaponized deepfakes

For years, experts have warned that deepfakes could be deployed in malicious ways. These dangers are now here.

Cheap, accessible models now produce weaponized deepfakes—from sexually explicit images to political propaganda—that look startlingly real. They’re already inciting violence, changing minds, and sowing mistrust, with women and marginalized groups disproportionately affected.

Experts fear that they’re cratering trust and critical thinking. Here’s why they’re alarmed.

—Eileen Guo

Weaponized deepfakes are on our list of the 10 Things That Matter in AI Right Now, MIT Technology Review’s guide to what’s really worth your attention in the busy, buzzy world of AI. 

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 OpenAI has ended its exclusive partnership with Microsoft
The new deal allows OpenAI to court rivals such as Amazon. (Reuters $)
+ Microsoft will still license OpenAI’s tech, but no longer exclusively. (NYT $)
+ OpenAI is missing key growth targets ahead of its IPO. (WSJ $)

2 Google has signed a classified AI deal with the Pentagon
It permits AI use for “any lawful government purpose.” (The Information $)
+ Over 600 Google workers had called for a block on the deal. (QZ)
+ AI firms are set to train military versions of their models on classified data. (MIT Technology Review)

3 The EU has told Google to open Android to AI rivals
It wants to end Gemini’s built-in advantage. (Ars Technica)
+ Google calls the move an “unwarranted intervention.” (WSJ $)
+ A final decision is expected by the end of July. (Reuters $)

4 OpenAI is reportedly developing an AI-first smartphone
It would replace apps with agents. (TechCrunch)
+ Qualcomm and MediaTek may be developing its processors. (Gizmodo)

5 A brain implant for depression is moving into human testing
The FDA has approved a human study of the device. (Wired $)
+ BCIs have thus far struggled to reach the market. (MIT Technology Review)

6 A populist backlash against AI is gaining momentum in rural America
From Indiana to Idaho, voters are pushing back against the technology. (NYT $)
+ Anti-AI protests are expanding worldwide. (MIT Technology Review)

7 DeepSeek has priced its new model 97% below OpenAI’s GPT-5.5
It aims to attract more enterprises, developers, and agent-based users. (SCMP)
+ Here are three reasons why DeepSeek V4 matters. (MIT Technology Review)

8 AI now generates a third of new websites
A study found it’s making the web more cheery and less verbose. (404 Media)

9 Top talent is leaving Big Tech to launch their own AI startups
Meta, Google, and OpenAI are facing a brain drain. (CNBC)

10 Taylor Swift is trademarking her voice and image
The Grammy winner has been the target of numerous deepfakes. (NBC News)
+ A growing number of celebrities are fighting AI with trademarks. (BBC)

Quote of the day

“The reality is people don’t like him.”

—Judge Yvonne Gonzalez Rogers reacts to prospective jurors confessing their negative views of Elon Musk ahead of his legal battle with Sam Altman, The Verge reports.

One More Thing


How covid conspiracy theories led to an alarming resurgence in AIDS denialism

When Joe Rogan falsely declared that “party drugs” were an “important factor in AIDS,” several million people were listening. He also asserted that AZT, the earliest drug used to treat AIDS, killed people “quicker” than the disease itself—another claim that has been disproven.

Such comments illustrate an unmistakable resurgence in AIDS denialism: a false collection of theories arguing either that HIV does not cause AIDS or that there is no such thing as HIV at all. By the dawn of the millennium, these claims had largely fallen out of favour. That changed when the coronavirus arrived.

Follow the digital path from Covid skepticism to the return of a deadly conspiracy theory.


—Anna Merlan

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Explore the planets from your laptop with this live sky map.
+ This marathon DJ set from Daphni is an incredible journey through electronic music.
+ NASA’s stunning Artemis II wallpapers bring a high-res piece of deep space to your phone.
+ This fascinating GPS explainer breaks down how your phone figures out exactly where you are.

The Effectiveness and Mechanisms of Action of App-Based Interventions for Improving Mental Health and Workplace Well-Being: Randomized Controlled Trial

Background: Depression is the most common mental health disorder worldwide and frequently leads to workplace absence. As face-to-face treatment can be difficult to access, app-based interventions are a popular solution, although their effectiveness in working populations and their mechanisms of action are unclear. Deficits in executive function may contribute to the onset and maintenance of depression, and executive function training is proposed to improve symptoms by enhancing executive function. Responders to cognitive behavioral therapy (CBT) show improvements in executive function, suggesting that this may be one mechanism of action. Objective: This study investigated the effectiveness of app-based interventions (executive function or CBT-based) for reducing depressive and anxiety symptoms and improving workplace well-being, and assessed whether changes in executive function mediated improvements. Methods: A total of 228 participants (147 female participants) with mild-to-moderate symptoms of depression and anxiety were recruited online and randomly assigned to a waitlist control group, an executive function training group (NeuroNation app, Synaptikon GmbH), or a self-guided CBT group (Moodfit app, Roble Ridge LLC) for a 4-week intervention period. Participants assigned to the active intervention groups were asked to use their apps a minimum of 21 times during the intervention. Participants completed measures of depressive symptoms, anxiety symptoms, and workplace well-being, and a working memory task at baseline, postintervention, and follow-up (12 weeks). Results: Executive function training reduced anxiety (β=−2.79; =.004) and depressive (β=−2.77; =.02) symptoms at follow-up but not at postintervention, and it did not affect workplace well-being. There were no reductions in depressive or anxiety symptoms in the self-guided CBT group, though workplace well-being was improved at postintervention (β=3.72; =.02) and follow-up (β=4.46; =.02). Improvements in executive function did not mediate intervention-related changes in symptoms or workplace well-being. Self-reported adherence rates were high (executive function training: 48/54, 89%; self-guided CBT: 52/54, 96%), although attrition was high at follow-up (58% missing). Conclusions: These results suggest that app-based executive function training may be effective at managing symptoms of anxiety and depression in a working population, while self-guided CBT apps may improve workplace well-being. However, improving executive function did not appear to be a mechanism of action of either intervention. Trial Registration: ISRCTN 12730006; https://www.isrctn.com/ISRCTN12730006
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