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How conspiracy theories infiltrated the doctor’s office

As anyone who has googled their symptoms and convinced themselves that they’ve got a brain tumor will attest, the internet makes it very easy to self-(mis)diagnose your health problems. And although social media and other digital forums can be a lifeline for some people looking for a diagnosis or community, when that information is wrong, it can put their well-being and even lives in danger.

Unfortunately, this modern impulse to “do your own research” became even more pronounced during the coronavirus pandemic.


This story is part of MIT Technology Review’s series “The New Conspiracy Age,” on how the present boom in conspiracy theories is reshaping science and technology.


We asked a number of health-care professionals about how this shifting landscape is changing their profession. They told us that they are being forced to adapt how they treat patients. It’s a wide range of experiences: Some say patients tell them they just want more information about certain treatments because they’re concerned about how effective they are. Others hear that their patients just don’t trust the powers that be. Still others say patients are rejecting evidence-based medicine altogether in favor of alternative theories they’ve come across online. 

These are their stories, in their own words.

Interviews have been edited for length and clarity.


The physician trying to set shared goals 

David Scales

Internal medicine hospitalist and assistant professor of medicine,
Weill Cornell Medical College
New York City

Every one of my colleagues has stories about patients who have been rejective of care, or had very peculiar perspectives on what their care should be. Sometimes that’s driven by religion. But I think what has changed is people, not necessarily with a religious standpoint, having very fixed beliefs that are sometimes—based on all the evidence that we have—in contradiction with their health goals. And that is a very challenging situation. 

I once treated a patient with a connective tissue disease called Ehlers-Danlos syndrome. While there’s no doubt that the illness exists, there’s a lot of doubt and uncertainty over which symptoms can be attributed to Ehlers-Danlos. This means it can fall into what social scientists call a “contested illness.” 

Contested illnesses used to be causes for arguably fringe movements, but they have become much more prominent since the rise of social media in the mid-2010s. Patients often search for information that resonates with their experience. 

This patient was very hesitant about various treatments, and it was clear she was getting her information from, I would say, suspect sources. She’d been following people online who were not necessarily trustworthy, so I sat down with her and we looked them up on Quackwatch, a site that lists health myths and misconduct. 

“She was extremely knowledgeable, and had done a lot of her own research, but she struggled to tell the difference between good and bad sources.”

She was still accepting of treatment, and was extremely knowledgeable, and had done a lot of her own research, but she struggled to tell the difference between good and bad sources and fixed beliefs that overemphasize particular things—like what symptoms might be attributable to other stuff.

Physicians have the tools to work with patients who are struggling with these challenges. The first is motivational interviewing, a counseling technique that was developed for people with substance-use disorders. It’s a nonjudgmental approach that uses open-ended questions to draw out people’s motivations, and to find where there’s a mismatch between their behaviors and their beliefs. It’s highly effective in treating people who are vaccine-hesitant.

Another is an approach called shared decision-making. First we work out what the patient’s goals are and then figure out a way to align those with what we know about the evidence-based way to treat them. It’s something we use for end-of-life care, too.

What’s concerning to me is that it seems as though there’s a dynamic of patients coming in with a fixed belief of how to diagnose their illness, how their symptoms should be treated, and how to treat it in a way that’s completely divorced from the kinds of medicine you’d find in textbooks—and that the same dynamic is starting to extend to other illnesses, too.


The therapist committed to being there when the conspiracy fever breaks 

Damien Stewart

Psychologist
Warsaw, Poland

Before covid, I hadn’t really had any clients bring up conspiracy theories into my practice. But once the pandemic began, they went from being fun or harmless to something dangerous.

In my experience, vaccines were the topic where I first really started to see some militancy—people who were looking down the barrel of losing their jobs because they wouldn’t get vaccinated. At one point, I had an out-and-out conspiracy theorist say to me, “I might as well wear a yellow star like the Jews during the Holocaust, because I won’t get vaccinated.” 

I felt pure anger, and I reached a point in my therapeutic journey I didn’t know would ever occur—I’d found that I had a line that could be crossed by a client that I could not tolerate. I spoke in a very direct manner he probably wasn’t used to and challenged his conspiracy theory. He got very angry and hung up the call.  

It made me figure out how I was going to deal with this in future, and to develop an approach—which was to not challenge the conspiracy theory, but to gently talk through it, to provide alternative points of view and ask questions. I try to find the therapeutic value in the information, in the conversations we’re having. My belief is and evidence seems to show that people believe in conspiracy theories because there’s something wrong in their life that is inexplicable, and they need something to explain what’s happening to them. And even if I have no belief or agreement whatsoever in what they’re saying, I think I need to sit here and have this conversation, because one day this person might snap out of it, and I need to be here when that happens.

As a psychologist, you have to remember that these people who believe in these things are extremely vulnerable. So my anger around these conspiracy theories has changed from being directed toward the deliverer—the person sitting in front of me saying these things—to the people driving the theories.


The emergency room doctor trying to get patients to reconnect with the evidence

Luis Aguilar Montalvan

Attending emergency medicine physician 
Queens, New York

The emergency department is essentially the pulse of what is happening in society. That’s what really attracted me to it. And I think the job of the emergency doctor, particularly within shifting political views or belief in Western medicine, is to try to reconnect with someone. To just create the experience that you need to prime someone to hopefully reconsider their relationship with this evidence-based medicine.

When I was working in the pediatrics emergency department a few years ago, we saw a resurgence of diseases we thought we had eradicated, like measles. I typically framed it by saying to the child’s caregiver: “This is a disease we typically use vaccines for, and it can prevent it in the majority of people.” 

“The doctor is now more like a consultant or a customer service provider than the authority. … The power dynamic has changed.”

The sentiment among my adult patients who are reluctant to get vaccinated or take certain medications seems to be from a mistrust of the government or “The System” rather than from anything Robert F. Kennedy Jr. says directly, for example. I’m definitely seeing more patients these days asking me what they can take to manage a condition or pain that’s not medication. I tell them that the knowledge I have is based on science, and explain the medications I’d typically give other people in their situation. I try to give them autonomy while reintroducing the idea of sticking with the evidence, and for the most part they’re appreciative and courteous.

The role of doctor has changed in recent years—there’s been a cultural change. My understanding is that back in the day, what the doctor said, the patient did. Some doctors used to shame parents who hadn’t vaccinated their kids. Now we’re shifting away from that, and the doctor is now more like a consultant or a customer service provider than the authority. I think that could be because we’ve seen a lot of bad actors in medicine, so the power dynamic has changed.  

I think if we had a more unified approach at a national level, if they had an actual unified and transparent relationship with the population, that would set us up right. But I’m not sure we’ve ever had it.

STEPHANIE ARNETT/MIT TECHNOLOGY REVIEW | PUBLIC DOMAIN

The psychologist who supported severely mentally ill patients through the pandemic 

Michelle Sallee

Psychologist, board certified in serious mental illness psychology
Oakland, California

I’m a clinical psychologist who only works with people who have been in the hospital three or more times in the last 12 months. I do both individual therapy and a lot of group work, and several years ago during the pandemic, I wrote a 10-week program for patients about how to cope with sheltering in place, following safety guidelines, and their concerns about vaccines.

My groups were very structured around evidence-based practice, and I had rules for the groups. First, I would tell people that the goal was not to talk them out of their conspiracy theory; my goal was not to talk them into a vaccination. My goal was to provide a safe place for them to be able to talk about things that were terrifying to them. We wanted to reduce anxiety, depression, thoughts of suicide, and the need for psychiatric hospitalizations. 

Half of the group was pro–public health requirements, and their paranoia and fear for safety was around people who don’t get vaccinated; the other half might have been strongly opposed to anyone other than themselves deciding they need a vaccination or a mask. Both sides were fearing for their lives—but from each other.

I wanted to make sure everybody felt heard, and it was really important to be able to talk about what they believed—like, some people felt like the government was trying to track us and even kill us—without any judgment from other people. My theory is that if you allow people to talk freely about what’s on their mind without blocking them with your own opinions or judgment, they will find their way eventually. And a lot of times that works. 

People have been stuck on their conspiracy theory or their paranoia has been stuck on it for a long time because they’re always fighting with people about it, everyone’s telling them that this is not true. So we would just have an open discussion about these things. 

“People have been stuck on their conspiracy theory for a long time because they’re always fighting with people about it, everyone’s telling them that this is not true.”

I ran the program four times for a total of 27 people, and the thing that I remember the most was how respectful and tolerant and empathic, but still honest about their feelings and opinions, everybody was. At the end of the program, most participants reported a decrease in pandemic-related stress. Half reported a decrease in general perceived stress, and half reported no change.

I’d say that the rate of how much vaccines are talked about now is significantly lower, and covid doesn’t really come up anymore. But other medical illnesses come up—patients saying, “My doctor said I need to get this surgery, but I know who they’re working for.” Everybody has their concerns, but when a person with psychosis has concerns, it becomes delusional, paranoid, and psychotic.

I’d like to see more providers be given more training around severe mental illness. These are not just people who just need to go to the hospital to get remedicated for a couple of days. There’s a whole life that needs to get looked at here, and they deserve that. I’d like to see more group settings with a combination of psychoeducation, evidence-based research, skills training, and process, because the research says that’s the combination that’s really important.

Editor’s note: Sallee works for a large HMO psychiatry department, and her account here is not on behalf of, endorsed by, or speaking for any larger organization.


The epidemiologist rethinking how to bridge differences in culture and community 

John Wright

Clinician and epidemiologist
Bradford, United Kingdom

I work in Bradford, the fifth-biggest city in the UK. It has a big South Asian population and high levels of deprivation. Before covid, I’d say there was growing awareness about conspiracies. But during the pandemic, I think that lockdown, isolation, fear of this unknown virus, and then the uncertainty about the future came together in a perfect storm to highlight people’s latent attraction to alternative hypotheses and conspiracies—it was fertile ground. I’ve been a National Health Service doctor for almost 40 years, and until recently, the NHS had a great reputation, with great trust, and great public support. The pandemic was the first time that I started seeing that erode.

It wasn’t just conspiracies about vaccines or new drugs, either—it was also an undermining of trust in public institutions. I remember an older woman who had come into the emergency department with covid. She was very unwell, but she just wouldn’t go into hospital despite all our efforts, because there were conspiracies going around that we were killing patients in hospital. So she went home, and I don’t know what happened to her.

The other big change in recent years has been social media and social networks that have obviously amplified and accelerated alternative theories and conspiracies. That’s been the tinder that’s allowed the wildfires to spread with these sort of conspiracy theories. In Bradford, particularly among ethnic minority communities, there’s been stronger links between them—allowing this to spread quicker—but also a more structural distrust. 

Vaccination rates have fallen since the pandemic, and we’re seeing lower uptake of the meningitis and HPV vaccines in schools among South Asian families. Ultimately, this needs a bigger societal approach than individual clinicians putting needles in arms. We started a project called Born in Bradford in 2007 that’s following more than 13,000 families, including around 20,000 teenagers as they grow up. One of the biggest focuses for us is how they use social media and how it links to their mental health, so we’re asking them to donate their digital media to us so we can examine it in confidence. We’re hoping it could allow us to explore conspiracies and influences.

The challenge for the next generation of resident doctors and clinicians is: How do we encourage health literacy in young people about what’s right and what’s wrong without being paternalistic? We also need to get better at engaging with people as health advocates to counter some of the online narratives. The NHS website can’t compete with how engaging content on TikTok is.


The pediatrician who worries about the confusing public narrative on vaccines

Jessica Weisz

Pediatrician
Washington, DC

I’m an outpatient pediatrician, so I do a lot of preventative care, checkups, and sick visits, and treating coughs and colds—those sorts of things. I’ve had specific training in how to support families in clinical decision-making related to vaccines, and every family wants what’s best for their child, and so supporting them is part of my job.

I don’t see specific articulation of conspiracy theories, but I do think there’s more questions about vaccines in conversations I’ve not typically had to have before. I’ve found that parents and caregivers do ask general questions about the risks and benefits of vaccines. We just try to reiterate that vaccines have been studied, that they are intentionally scheduled to protect an immature immune system when it’s the most vulnerable, and that we want everyone to be safe, healthy, and strong. That’s how we can provide protection.

“I think what’s confusing is that distress is being sowed in headlines when most patients, families, and caregivers are motivated and want to be vaccinated.”

I feel that the narrative in the public space is unfairly confusing to families when over 90% of families still want their kids to be vaccinated. The families who are not as interested in that, or have questions—it typically takes multiple conversations to support that family in their decision-making. It’s very rarely one conversation.

I think what’s confusing is that distress is being sowed in headlines when most patients, families, and caregivers are motivated and want to be vaccinated. For example, some of the headlines around recent changes the CDC are making make it sound like they’re making a huge clinical change, when it’s actually not a huge change from what people are typically doing. In my standard clinical practice, we don’t give the combined MMRV vaccine to children under four years old, and that’s been standard practice in all of the places I’ve worked on the Eastern Seaboard. [Editor’s note: In early October, the CDC updated its recommendation that young children receive the varicella vaccine separately from the combined vaccine for measles, mumps, and rubella. Many practitioners, including Weisz, already offer the shots separately.]

If you look at public surveys, pediatricians are still the most trusted [among health-care providers], and I do live in a jurisdiction with pretty strong policy about school-based vaccination. I think that people are getting information from multiple sources, but at the end of the day, in terms of both the national rates and also what I see in clinical practice, we really are seeing most families wanting vaccines.

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The Download: introducing our 35 Innovators Under 35 list for 2025

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.

Introducing: our 35 Innovators Under 35 list for 2025

The world is full of extraordinary young people brimming with ideas for how to crack tough problems. Every year, we recognize 35 such individuals from around the world—all of whom are under the age of 35.

These scientists, inventors, and entrepreneurs are working to help mitigate climate change, accelerate scientific progress, and alleviate human suffering from disease. Some are launching companies while others are hard at work in academic labs. They were selected from hundreds of nominees by expert judges and our newsroom staff. 

Get to know them all—including our 2025 Innovator of the Year—in these profiles.

Why basic science deserves our boldest investment

—Julia R. Greer is a materials scientist at the California Institute of Technology, a judge for MIT Technology Review’s Innovators Under 35 and a former honoree (in 2008).

A modern chip the size of a human fingernail contains tens of billions of silicon transistors, each measured in nanometers—smaller than many viruses. These tiny switches form the infrastructure behind nearly every digital device in use today.

Much of the fundamental understanding that moved transistor technology forward came from federally funded university research. But that funding is under increasing pressure, thanks to deep budget cuts proposed by the White House.

These losses have forced some universities to freeze graduate student admissions, cancel internships, and scale back summer research opportunities—making it harder for young people to pursue scientific and engineering careers. 

In an age dominated by short-term metrics and rapid returns, it can be difficult to justify research whose applications may not materialize for decades. But those are precisely the kinds of efforts we must support if we want to secure our technological future. Read the full story.

The must-reads

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

1 The US is considering annual chip supply permits in China
For South Korean companies Samsung and SK Hynix, specifically. (Bloomberg $)
+ US lawmakers still hold power over chips in China. (CNN)

2 America has recorded its first case of screwworm in over 50 years
And the warming climate is making it easier for the flies to thrive. (Vox)
+ Experts fear an approaching public health emergency. (The Guardian)

3 Drone warfare is dominating Ukraine’s frontline

Amid relentless assaults, overhead and land drones are being put to work. (The Guardian)
+ How cutting-edge drones forced land-locked tanks to evolve. (NYT $)
+ On the ground in Ukraine’s largest Starlink repair shop. (MIT Technology Review)

4 OpenAI is working out why chatbots hallucinate so much
Examining a model’s incentives provides some clues. (Insider $)
+ Models’ tendency to confidently present falsehoods as fact is a big problem. (TechCrunch)
+ Why does AI hallucinate? (MIT Technology Review)

5 How one man is connecting Silicon Valley to the Middle East’s AI boom
If you want to build a data center, Zachary Cefaratti is your man. (FT $)
+ The data center boom in the desert. (MIT Technology Review)

6 The first OpenAI-backed movie is coming to theaters next year
The animated Critterz is hoping for a Cannes Film Festival debut. (WSJ $)
+ A Disney director tried—and failed—to use an AI Hans Zimmer to create a soundtrack. (MIT Technology Review)

7 Who wants to live forever?
These billionaires are confident their cash will pave the way to longer lives. (WSJ $)
+ Putin says organ transplants could grant immortality. Not quite. (MIT Technology Review)

8 Tesla isn’t focused on selling cars any more
The company’s latest Master Plan is all about humanoid robots. (The Atlantic $)
+ The board is willing to offer Musk a $1 trillion pay package if he delivers. (Wired $)
+ Uber is gearing up to test driverless cars in Germany. (The Verge)
+ China’s EV giants are betting big on humanoid robots. (MIT Technology Review)

9 Do aliens go on holiday?
Scientists wonder whether tourism could be a potential drive for them to visit us. (New Yorker $)
+ How these two UFO hunters became go-to experts on America’s “mystery drone” invasion. (MIT Technology Review)

10 Vodafone’s new TikTok influencer isn’t real
It’s yet another example of AI avatars being used in ads. (The Verge)
+ Synthesia’s AI clones are more expressive than ever. Soon they’ll be able to talk back. (MIT Technology Review)

Quote of the day

“Silicon Valley totally effed up in overhyping LLMs.”

—Palantir CEO Alex Karp criticizes those who fueled the AI hype around large language models, Semafor reports.

One more thing

Puerto Rico’s power struggles

On the southeastern coast of Puerto Rico lies the country’s only coal-fired power station, flanked by a mountain of toxic ash. The plant, owned by the utility giant AES, has long plagued this part of Puerto Rico with air and water pollution.

Before the coal plant opened Guayama had on average just over 103 cancer cases per year. In 2003, the year after the plant opened, the number of cancer cases in the municipality surged by 50%, to 167. 

In 2022, the most recent year with available data, cases hit a new high of 209. The question is: How did it get this bad? Read the full story.


—Alexander C. Kaufman

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 or skeet ’em at me.)

+ What’s up with tennis players’ strange serving rituals?
+ If constant scrolling is turning your hands into gnarled claws, this stretch should help.
+ How to land a genuine bargain on Facebook Marketplace.
+ This photographer tracks down people who featured in pictures decades before, and persuades them to recreate their poses. Heartwarming stuff ❤

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The Download: Google DeepMind’s DNA AI, and heatwaves’ impact on the grid

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.

Google’s new AI will help researchers understand how our genes work

When scientists first sequenced the human genome in 2003, they revealed the full set of DNA instructions that make a person. But we still didn’t know what all those 3 billion genetic letters actually do.

Now Google’s DeepMind division says it’s made a leap in trying to understand the code with AlphaGenome, an AI model that predicts what effects small changes in DNA will have on an array of molecular processes, such as whether a gene’s activity will go up or down.

It’s just the sort of question biologists regularly assess in lab experiments, and is an attempt to further smooth biologists’ work by answering basic questions about how changing DNA letters alters gene activity and, eventually, how genetic mutations affect our health. Read the full story.

—Antonio Regalado

It’s officially summer, and the grid is stressed

It’s crunch time for the grid this week. Large swaths of the US have reached or exceeded record-breaking temperatures. Spain recently went through a dramatic heat wave too, as did the UK, which is bracing for another one soon.

We rely on electricity to keep ourselves comfortable, and more to the point, safe. These are the moments we design the grid for: when need is at its very highest. The key to keeping everything running smoothly during these times might be just a little bit of flexibility. But demand for electricity from major grids is already peaking, and that’s a good reason to be a little nervous. Read the full story.

—Casey Crownhart

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

MIT Technology Review Narrated: How did China come to dominate the world of electric cars?

From generous government subsidies to support for lithium batteries, here are the keys to understanding how China managed to build a world-leading industry in electric vehicles.

This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing 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.

Inside OpenAI’s empire with Karen Hao

Journalist Karen Hao’s newly released book, Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI, tells the story of OpenAI’s rise to power and its far-reaching impact all over the world.

Hao, a former MIT Technology Review senior editor, will join our executive editor Niall Firth in an intimate subscriber-exclusive Roundtable conversation exploring the AI arms race, what it means for all of us, and where it’s headed. Register here to join us at 9am ET on Monday June 30th June.

Special giveaway: Attendees will have the chance to receive a free copy of Hao’s book. See registration form for details.

The must-reads

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

1 Meta has won an AI copyright case against authors
The judge said the authors hadn’t presented enough evidence to back up their case. (TechCrunch)
+ It’s not an entirely decisive victory for Meta, though. (Wired $)
+ It’s the second lawsuit in favor of AI giants this week. (Insider $)

2 The US will stop contributing towards a global vaccine alliance
RFK Jr made unsubstantiated claims about Gavi’s safety record. (WP $)
+ Kennedy’s newly-assembled vaccine panel is reviewing its guidelines for children. (Vox)
+ Experts are worried the once-influential panel will cause irreparable harm. (Ars Technica)
+ How measuring vaccine hesitancy could help health professionals tackle it. (MIT Technology Review)

3 Jeff Bezos is cozying up to Donald Trump
If the Trump administration happens to need a new space company, he’s ready and willing to supply it. (WSJ $)
+ Meanwhile, a private astronaut mission is on its way to the ISS. (CNN)

4 Taiwan is working on suicide drones to defend itself from China
The country is taking a leaf out of Ukraine’s defense book. (FT $)
+ This giant microwave may change the future of war. (MIT Technology Review)

5 Biohackers are feeling emboldened by the Trump administration
They welcome lower barriers to entry for their unorthodox treatments. (Wired $)
+ The first US hub for experimental medical treatments is coming. (MIT Technology Review)

6 A UK cyberattack on a health firm contributed to a patient’s death
The ransomware attack disrupted blood services at London hospitals. (BBC)
+ A Russian hacking gang is to blame for the incident. (Bloomberg $)

7 Take a look inside Amazon’s colossal new data center
Four construction teams are working around the clock to finish it. (NYT $)
+ Generating video is the most energy-intensive AI prompt. (WSJ $)
+ We did the math on AI’s energy footprint. Here’s the story you haven’t heard. (MIT Technology Review)

8 The debate around dark energy is intensifying
New research suggests it evolves over time. But not everyone agrees. (Undark)

9 Trump Mobile is no longer claiming to be ‘made in the USA’
It’s now “designed with American values in mind” instead. (Ars Technica)

10 It’s official: The Social Network is getting a sequel
Zuck goes MAGA? (Deadline $)

Quote of the day

“By training generative AI models with copyrighted works, companies are creating something that often will dramatically undermine the market for those works, and thus dramatically undermine the incentive for human beings to create things the old-fashioned way.”

—US district judge Vince Chhabria, who presided over a copyright lawsuit brought against Meta by a group of authors, warns of the implications of the company’s actions, the Guardian reports.

One more thing

Beyond gene-edited babies: the possible paths for tinkering with human evolution

Editing human embryos is restricted in much of the world—and making an edited baby is fully illegal in most countries surveyed by legal scholars. But advancing technology could render the embryo issue moot.

New ways of adding CRISPR, the revolutionary gene editing tool, to the bodies of people already born could let them easily receive changes as well. It’s possible that in 125 years, many people will be the beneficiaries of multiple rare, but useful, gene mutations currently found in only small segments of the population. 

These could protect us against common diseases and infections, but eventually they could also yield improvements in other traits, such as height, metabolism, or even cognition. But humanity won’t necessarily do things the right way. Read the full story.

—Antonio Regalado

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 or skeet ’em at me.)

+ Amazing things are happening in New York’s Central Park.
+ A newly-discovered species of dinosaur has gone on display in London, and it’s small but perfectly formed.
+ Cool—Bob Dylan is releasing a new art book, this time of his drawings.
+ Iron Maiden bassist Steve Harris has a secret second career—as a footballer ⚽

  •  

The Download: how AI can improve a city, and inside OpenAI’s empire

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.

How AI can help make cities work better

In recent decades, cities have become increasingly adept at amassing all sorts of data. But that data can have limited impact when government officials are unable to communicate, let alone analyze or put to use, all the information they have access to.

This dynamic has always bothered Sarah Williams, a professor of urban planning and technology at MIT. Shortly after joining MIT in 2012, Williams created the Civic Data Design Lab to bridge that divide. Over the years, she and her colleagues have made urban planning data more vivid and accessible through human stories and striking graphics. Read the full story.

—Ben Schneider

This story is from the next print edition of MIT Technology Review, which explores power—who has it, and who wants it. It’s set to go live on Wednesday June 25, so subscribe & save 25% to read it and get a copy of the issue when it lands!

Inside OpenAI’s empire with Karen Hao

AI journalist Karen Hao’s newly released book, Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI, tells the story of OpenAI’s rise to power and its far-reaching impact all over the world.

Hao, a former MIT Technology Review senior editor, will join our executive editor Niall Firth in an intimate subscriber-exclusive Roundtable conversation exploring the AI arms race, what it means for all of us, and where it’s headed. Register here to join us at 9am ET on Monday June 30th June.

Special giveaway: Attendees will have the chance to receive a free copy of Hao’s book. See registration form for details.

The must-reads

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

1 The White House is sharing tasteless deportation memes
Its digital strategy revolves around boosting policies for cheap laughs. (WP $)
+ Trump’s immigration raids are a rapid escalation of his deportation tactics. (Vox)
+ The administration is revelling in the outraged reaction to its actions. (The Atlantic $)
+ But New Yorkers are fighting back. (New Yorker $)

2 New York is asking companies to disclose when AI contributes to layoffs
It’s the first official step towards measuring AI’s impact on the labor market. (Bloomberg $)
+ People are worried that AI will take everyone’s jobs. We’ve been here before. (MIT Technology Review)

3 Regeneron isn’t buying 23andMe after all
A non-profit controlled by its cofounder has made a higher bid. (WSJ $)
+ Anne Wojcicki says she has the backing of a Fortune 500 company. (FT $)
+ How to… delete your 23andMe data. (MIT Technology Review)

4 RFK Jr has filled the CDC’s vaccine committee with allies
Robert Malone, one of the appointees, has encouraged the public to embrace the term anti-vax. (The Atlantic $)
+ Here’s what food and drug regulation might look like under the Trump administration. (MIT Technology Review)

5 Americans are commissioning animal torture videos
The US government has revealed details of residents accused of paying people in Indonesia to abuse helpless monkeys. (Ars Technica)

6 China has conducted its first brain implant clinical trial
Making it only the second country to do so, after the US. (Bloomberg $)
+ Brain-computer interfaces face a critical test. (MIT Technology Review)

7 The US Navy wants your startup
It’s more open to partnerships than ever before, apparently. (TechCrunch)
+ China is stockpiling intercontinental ballistic missiles. (Insider $)
+ Generative AI is learning to spy for the US military. (MIT Technology Review)

8 The UK is working on a chemotherapy-free approach to treating leukaemia
Combining two targeted drugs appears to perform better. (The Guardian)

9 Brace yourself for AI sponcon
Just when you thought product placement couldn’t get any worse. (The Verge)

10 Zines are staging a comeback
Creatives are turning their backs on social media in favor of good old-fashioned booklets. (Wired $)

Quote of the day

“Being a highly “online” person is a very embarrassing thing and should be relegated to basement losers.”

—Derek Guy, aka The Menswear Guy on X, explains to Wired why he thinks a significant proportion of the Republican coalition need to step away from their keyboards.

One more thing

Bright LEDs could spell the end of dark skies

Scientists have known for years that light pollution is growing and can harm both humans and wildlife. In people, increased exposure to light at night disrupts sleep cycles and has been linked to cancer and cardiovascular disease, while wildlife suffers from interruption to their reproductive patterns, and increased danger.

Astronomers, policymakers, and lighting professionals are all working to find ways to reduce light pollution. Many of them advocate installing light-emitting diodes, or LEDs, in outdoor fixtures such as city streetlights, mainly for their ability to direct light to a targeted area.

But the high initial investment and durability of modern LEDs mean cities need to get the transition right the first time or potentially face decades of consequences. Read the full story.

—Shel Evergreen

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 or skeet ’em at me.)

+ As commencement speeches go, Steve Jobs’ is definitely one of the best.
+ I love this iconic Homer moment recreated in Lego.
+ The remains of a beautiful Byzantine tomb complex has been uncovered between Aleppo and Damascus.
+ I want to believe: check out this short, bizarre history of alien abductions in America 👽

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Anthropic’s new hybrid AI model can work on tasks autonomously for hours at a time

Anthropic has announced two new AI models that it claims represent a major step toward making AI agents truly useful.

AI agents trained on Claude Opus 4, the company’s most powerful model to date, raise the bar for what such systems are capable of by tackling difficult tasks over extended periods of time and responding more usefully to user instructions, the company says.

Claude Opus 4 has been built to execute complex tasks that involve completing thousands of steps over several hours. For example, it created a guide for the video game Pokémon Red while playing it for more than 24 hours straight. The company’s previously most powerful model, Claude 3.7 Sonnet, was capable of playing for just 45 minutes, says Dianne Penn, product lead for research at Anthropic.

Similarly, the company says that one of its customers, the Japanese technology company Rakuten, recently deployed Claude Opus 4 to code autonomously for close to seven hours on a complicated open-source project. 

Anthropic achieved these advances by improving the model’s ability to create and maintain “memory files” to store key information. This enhanced ability to “remember” makes the model better at completing longer tasks.

“We see this model generation leap as going from an assistant to a true agent,” says Penn. “While you still have to give a lot of real-time feedback and make all of the key decisions for AI assistants, an agent can make those key decisions itself. It allows humans to act more like a delegator or a judge, rather than having to hold these systems’ hands through every step.”

While Claude Opus 4 will be limited to paying Anthropic customers, a second model, Claude Sonnet 4, will be available for both paid and free tiers of users. Opus 4 is being marketed as a powerful, large model for complex challenges, while Sonnet 4 is described as a smart, efficient model for everyday use.  

Both of the new models are hybrid, meaning they can offer a swift reply or a deeper, more reasoned response depending on the nature of a request. While they calculate a response, both models can search the web or use other tools to improve their output.

AI companies are currently locked in a race to create truly useful AI agents that are able to plan, reason, and execute complex tasks both reliably and free from human supervision, says Stefano Albrecht, director of AI at the startup DeepFlow and coauthor of Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. Often this involves autonomously using the internet or other tools. There are still safety and security obstacles to overcome. AI agents powered by large language models can act erratically and perform unintended actions—which becomes even more of a problem when they’re trusted to act without human supervision.

“The more agents are able to go ahead and do something over extended periods of time, the more helpful they will be, if I have to intervene less and less,” he says. “The new models’ ability to use tools in parallel is interesting—that could save some time along the way, so that’s going to be useful.”

As an example of the sorts of safety issues AI companies are still tackling, agents can end up taking unexpected shortcuts or exploiting loopholes to reach the goals they’ve been given. For example, they might book every seat on a plane to ensure that their user gets a seat, or resort to creative cheating to win a chess game. Anthropic says it managed to reduce this behavior, known as reward hacking, in both new models by 65% relative to Claude Sonnet 3.7. It achieved this by more closely monitoring problematic behaviors during training, and improving both the AI’s training environment and the evaluation methods.

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Cyberattacks by AI agents are coming

Agents are the talk of the AI industry—they’re capable of planning, reasoning, and executing complex tasks like scheduling meetings, ordering groceries, or even taking over your computer to change settings on your behalf. But the same sophisticated abilities that make agents helpful assistants could also make them powerful tools for conducting cyberattacks. They could readily be used to identify vulnerable targets, hijack their systems, and steal valuable data from unsuspecting victims.  

At present, cybercriminals are not deploying AI agents to hack at scale. But researchers have demonstrated that agents are capable of executing complex attacks (Anthropic, for example, observed its Claude LLM successfully replicating an attack designed to steal sensitive information), and cybersecurity experts warn that we should expect to start seeing these types of attacks spilling over into the real world.

“I think ultimately we’re going to live in a world where the majority of cyberattacks are carried out by agents,” says Mark Stockley, a security expert at the cybersecurity company Malwarebytes. “It’s really only a question of how quickly we get there.”

While we have a good sense of the kinds of threats AI agents could present to cybersecurity, what’s less clear is how to detect them in the real world. The AI research organization Palisade Research has built a system called LLM Agent Honeypot in the hopes of doing exactly this. It has set up vulnerable servers that masquerade as sites for valuable government and military information to attract and try to catch AI agents attempting to hack in.

The team behind it hopes that by tracking these attempts in the real world, the project will act as an early warning system and help experts develop effective defenses against AI threat actors by the time they become a serious issue.

“Our intention was to try and ground the theoretical concerns people have,” says Dmitrii Volkov, research lead at Palisade. “We’re looking out for a sharp uptick, and when that happens, we’ll know that the security landscape has changed. In the next few years, I expect to see autonomous hacking agents being told: ‘This is your target. Go and hack it.’”

AI agents represent an attractive prospect to cybercriminals. They’re much cheaper than hiring the services of professional hackers and could orchestrate attacks more quickly and at a far larger scale than humans could. While cybersecurity experts believe that ransomware attacks—the most lucrative kind—are relatively rare because they require considerable human expertise, those attacks could be outsourced to agents in the future, says Stockley. “If you can delegate the work of target selection to an agent, then suddenly you can scale ransomware in a way that just isn’t possible at the moment,” he says. “If I can reproduce it once, then it’s just a matter of money for me to reproduce it 100 times.”

Agents are also significantly smarter than the kinds of bots that are typically used to hack into systems. Bots are simple automated programs that run through scripts, so they struggle to adapt to unexpected scenarios. Agents, on the other hand, are able not only to adapt the way they engage with a hacking target but also to avoid detection—both of which are beyond the capabilities of limited, scripted programs, says Volkov. “They can look at a target and guess the best ways to penetrate it,” he says. “That kind of thing is out of reach of, like, dumb scripted bots.”

Since LLM Agent Honeypot went live in October of last year, it has logged more than 11 million attempts to access it—the vast majority of which were from curious humans and bots. But among these, the researchers have detected eight potential AI agents, two of which they have confirmed are agents that appear to originate from Hong Kong and Singapore, respectively. 

“We would guess that these confirmed agents were experiments directly launched by humans with the agenda of something like ‘Go out into the internet and try and hack something interesting for me,’” says Volkov. The team plans to expand its honeypot into social media platforms, websites, and databases to attract and capture a broader range of attackers, including spam bots and phishing agents, to analyze future threats.  

To determine which visitors to the vulnerable servers were LLM-powered agents, the researchers embedded prompt-injection techniques into the honeypot. These attacks are designed to change the behavior of AI agents by issuing them new instructions and asking questions that require humanlike intelligence. This approach wouldn’t work on standard bots.

For example, one of the injected prompts asked the visitor to return the command “cat8193” to gain access. If the visitor correctly complied with the instruction, the researchers checked how long it took to do so, assuming that LLMs are able to respond in much less time than it takes a human to read the request and type out an answer—typically in under 1.5 seconds. While the two confirmed AI agents passed both tests, the six others only entered the command but didn’t meet the response time that would identify them as AI agents.

Experts are still unsure when agent-orchestrated attacks will become more widespread. Stockley, whose company Malwarebytes named agentic AI as a notable new cybersecurity threat in its 2025 State of Malware report, thinks we could be living in a world of agentic attackers as soon as this year. 

And although regular agentic AI is still at a very early stage—and criminal or malicious use of agentic AI even more so—it’s even more of a Wild West than the LLM field was two years ago, says Vincenzo Ciancaglini, a senior threat researcher at the security company Trend Micro. 

“Palisade Research’s approach is brilliant: basically hacking the AI agents that try to hack you first,” he says. “While in this case we’re witnessing AI agents trying to do reconnaissance, we’re not sure when agents will be able to carry out a full attack chain autonomously. That’s what we’re trying to keep an eye on.” 

And while it’s possible that malicious agents will be used for intelligence gathering before graduating to simple attacks and eventually complex attacks as the agentic systems themselves become more complex and reliable, it’s equally possible there will be an unexpected overnight explosion in criminal usage, he says: “That’s the weird thing about AI development right now.”

Those trying to defend against agentic cyberattacks should keep in mind that AI is currently more of an accelerant to existing attack techniques than something that fundamentally changes the nature of attacks, says Chris Betz, chief information security officer at Amazon Web Services. “Certain attacks may be simpler to conduct and therefore more numerous; however, the foundation of how to detect and respond to these events remains the same,” he says.

Agents could also be deployed to detect vulnerabilities and protect against intruders, says Edoardo Debenedetti, a PhD student at ETH Zürich in Switzerland, pointing out that if a friendly agent cannot find any vulnerabilities in a system, it’s unlikely that a similarly capable agent used by a malicious party is going to be able to find any either.

While we know that AI’s potential to autonomously conduct cyberattacks is a growing risk and that AI agents are already scanning the internet, one useful next step is to evaluate how good agents are at finding and exploiting these real-world vulnerabilities. Daniel Kang, an assistant professor at the University of Illinois Urbana-Champaign, and his team have built a benchmark to evaluate this; they have found that current AI agents successfully exploited up to 13% of vulnerabilities for which they had no prior knowledge. Providing the agents with a brief description of the vulnerability pushed the success rate up to 25%, demonstrating how AI systems are able to identify and exploit weaknesses even without training. Basic bots would presumably do much worse.

The benchmark provides a standardized way to assess these risks, and Kang hopes it can guide the development of safer AI systems. “I’m hoping that people start to be more proactive about the potential risks of AI and cybersecurity before it has a ChatGPT moment,” he says. “I’m afraid people won’t realize this until it punches them in the face.”

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The Download: AI for cancer diagnosis, and HIV prevention

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.

Why it’s so hard to use AI to diagnose cancer

Finding and diagnosing cancer is all about spotting patterns. Radiologists use x-rays and magnetic resonance imaging to illuminate tumors, and pathologists examine tissue from kidneys, livers, and other areas under microscopes. They look for patterns that show how severe a cancer is, whether particular treatments could work, and where the malignancy may spread.

Visual analysis is something that AI has gotten quite good at since the first image recognition models began taking off nearly 15 years ago. Even though no model will be perfect, you can imagine a powerful algorithm someday catching something that a human pathologist missed, or at least speeding up the process of getting a diagnosis.

We’re starting to see lots of new efforts to build such a model—at least seven attempts in the last year alone. But they all remain experimental. What will it take to make them good enough to be used in the real world? Read the full story.

—James O’Donnell

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

Long-acting HIV prevention meds: 10 Breakthrough Technologies 2025

In June 2024, results from a trial of a new medicine to prevent HIV were announced—and they were jaw-dropping. Lenacapavir, a treatment injected once every six months, protected over 5,000 girls and women in Uganda and South Africa from getting HIV. And it was 100% effective.

So far, the FDA has approved the drug only for people who already have HIV that’s resistant to other treatments. But its producer Gilead has signed licensing agreements with manufacturers to produce generic versions for HIV prevention in 120 low-income countries.

The United Nations has set a goal of ending AIDS by 2030. It’s ambitious, to say the least: We still see over 1 million new HIV infections globally every year. But we now have the medicines to get us there. What we need is access. Read the full story.

—Jessica Hamzelou

Long-acting HIV prevention meds is one of our 10 Breakthrough Technologies for 2025, MIT Technology Review’s annual list of tech to watch. Check out the rest of the list, and cast your vote for the honorary 11th breakthrough.

The must-reads

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

1 Donald Trump signed an executive order delaying TikTok’s ban
Parent company ByteDance has 75 days to reach a deal to stay live in the US. (WP $)
+ China appears to be keen to keep the platform operating, too. (WSJ $)

2 Neo-Nazis are celebrating Elon Musk’s salutes
They’re thrilled by the two Nazi-like salutes he gave at a post-inauguration rally. (Wired $)
+ Whether the gestures were intentional or not, extremists have chosen to interpret them that way. (Rolling Stone $)
+ MAGA is all about granting unchecked power to the already powerful. (Vox)
+ How tech billionaires are hoping Trump will reward them for their support. (NY Mag $)

3 Trump is withdrawing the US from the World Health Organization
He’s accused the agency of mishandling the covid 19 pandemic. (Ars Technica)+ He first tried to leave the WHO in 2020, but failed to complete it before he left office. (Reuters)
+ Trump is also working on pulling the US out of the Paris climate agreement. (The Verge)

4 Meta will keep using fact checkers outside the US—for now
It wants to see how its crowdsourced fact verification system works in America before rolling it out further. (Bloomberg $)

5 Startup Friend has delayed shipments of its AI necklace
Customers are unlikely to receive their pre-orders before Q3. (TechCrunch)
+ Introducing: The AI Hype Index. (MIT Technology Review)

6 This sophisticated tool can pinpoint where a photo was taken in seconds
Members of the public have been trying to use GeoSpy for nefarious means for months. (404 Media)

7 Los Angeles is covered in ash
And it could take years before it fully disappears. (The Atlantic $)

8 Singapore is turning to AI companions to care for its elders
Robots are filling the void left by an absence of human nurses. (Rest of World)
+ Inside Japan’s long experiment in automating elder care. (MIT Technology Review)

9 The lost art of using a pen 🖊
Typing and swiping are replacing good old fashioned paper and ink. (The Guardian)

10 LinkedIn is getting humorous
Posts are getting more personal, with a decidedly comedic bent. (FT $)

Quote of the day

“It’s been really beautiful to watch how two communities that would be considered polar opposites have come together.”

—Khalil Bowens, a content creator based in Los Angeles, reflects on the influx of Americans joining Chinese social media app Xiaohongshu to the Wall Street Journal.

 

The big story

Inside the messy ethics of making war with machines

August 2023

In recent years, intelligent autonomous weapons—weapons that can select and fire upon targets without any human input—have become a matter of serious concern. Giving an AI system the power to decide matters of life and death would radically change warfare forever.

Intelligent autonomous weapons that fully displace human decision-making have (likely) yet to see real-world use.

However, these systems have become sophisticated enough to raise novel questions—ones that are surprisingly tricky to answer. What does it mean when a decision is only part human and part machine? And when, if ever, is it ethical for that decision to be a decision to kill? Read the full story.

—Arthur Holland Michel

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 or skeet ’em at me.)

+ Baby octopuses aren’t just cute—they can change color from the moment they’re born 🐙
+ Nintendo artist Takaya Imamura played a key role in making the company the gaming juggernaut it is today.
+ David Lynch wasn’t just a master of imagery, the way he deployed music to creep us out was second to none.
+ Only got a bag of rice in the cupboard? No problem.

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