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 this year’s World Cup ball may not fly as far

Much is new about this month’s FIFA World Cup tournament. It hosts more teams than ever before. It’s the first to occur in three different host countries. 

And, like every World Cup for over half a century, it will employ a football with a brand-new design.

Through wind-tunnel experiments, researchers found that long-distance kicks with Adidas’s new Trionda ball might not travel as far as they did in the past. The payoff is a more predictable flight path, something players have not always enjoyed from World Cup balls.

Find out how a few grooves and seams can change the way the game is played.

—Jenna Ahart

The must-reads

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

1 OpenAI plans to turn ChatGPT into a ‘super app’ before its IPO
The revamp would combine coding tools and AI agents. (Financial Times $)
+ The super app ambitions first emerged last year. (Fast Company)
+ OpenAI is also building a fully automated researcher. (MIT Technology Review)

2 Trump wants the US government to take a stake in AI companies
He will meet AI leaders to discuss the plan. (BBC)
+ Which would create “a partnership with the American public.” (Reuters $)
+ He wants a slice of the AI boom. (Axios)

3 Google has agreed to pay SpaceX $30 billion for AI computing power
The $920 million-a-month contract runs through June 2029. (NYT $)
+ Google will use about 110,000 Nvidia GPUs owned by SpaceX. (CNBC)
+ It comes days after Anthropic struck a SpaceX data center deal. (WSJ $)

4 AI is set to make everyday life more expensive
Its insatiable thirst for resources is likely to push up inflation. (WP $)
+ We did the math on AI’s energy footprint. (MIT Technology Review)

5 Europe is accelerating its withdrawal from US Big Tech
New analysis reveals dozens of moves to alternative providers. (Wired $) + Last week, the EU launched a “made in Europe” drive. (Reuters $)

6 ICE plans to give local police a new facial recognition app
It would allow them to verify a person’s immigration status. (404 Media)
+ Is the Pentagon allowed to surveil Americans with AI? (MIT Technology Review)

7 Silicon Valley’s lure is fading for India’s tech talent
Due to Trump’s immigration policies and AI-driven layoffs. (Rest of World) 

8 ‘Recursive self-improvement’ has sparked fears of AI escaping control
Nobody is sure about the consequences of RSI. (The Economist $)
+ Here are five ways that AI is learning to improve itself. (MIT Technology Review)

9 Gene-edited embryos are getting closer, but a key safety gap remains
Current techniques still fail to edit every cell. (New Scientist $)
+ “Base-edited baby” is one of our 10 Breakthrough Technologies for 2026. (MIT Technology Review)

10 NASA astronauts will wear high-tech Prada underwear on their moon trips
Ventilation tubes are knitted into the garments. (The Verge)

Quote of the day

“Chat is dead.” 

—A senior OpenAI employee tells the Financial Times why the company is shifting focus from chatbots to AI agents.

One More Thing

How AI is helping historians better understand our past

The digitization of historical records is making it possible to study the past in new ways. Historians are now using machine learning—particularly deep neural networks—to analyze everything from centuries-old astronomy textbooks to ancient Greek inscriptions.

The technology is helping researchers uncover new patterns in the historical record. But it also introduces risks, including the possibility that machine learning will slip bias or outright falsifications into our understanding of the past.

Read the full story on how AI is transforming the study of history.

—Moira Donovan

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.)

+ Take a tour of extinct everyday objects to travel back to pre-smartphone life.
+ This a cappella cover of “I Want To Know What Love Is” nails the power-ballad drama.
+ Korea’s ingenious “one-a-day” banana packs are designed so each one ripens sequentially.
+ Casino dialogue has been synced over Looney Tunes footage in this unexpectedly perfect mashup.

Much is new about this month’s upcoming FIFA World Cup tournament, which will be held in the US, Canada, and Mexico. It hosts more teams than ever before. It’s the first to occur in three different host countries. And, like predecessor cups for over half a century, it will employ a soccer ball with a brand-new design.

One group of researchers that has been testing the physics of World Cup balls for the past 20 years recently studied this new entry, called the Trionda. Made by Adidas, the Trionda features four red, green, and blue panels textured with deep grooves and maple leaf, green eagle, and star emblems to represent the three host countries. Through wind-tunnel experiments, the research team found that this ball improves over previous versions in some ways, but long-distance kicks might not go as far as they did in the past. 

“The simple picture is that Trionda may very slightly punish extreme distance, but it should reward clean technique and predictable flight,” says team member John Eric Goff, who researches sports physics and is an incoming professor of engineering practice at Purdue University. “Goalkeepers, defenders hitting long passes, and long-range shooters are where I would look first for visible differences.” 

TAKESHI ASAI, SUNGCHAN HONG, AND RICHONG LIU

Adidas has been designing new balls for each World Cup since the 1970s. Some of the design changes in the first few decades were aesthetic: The 1986 ball featured graphics inspired by Aztec temples for the Mexico tournament, and 1994’s had space graphics in honor of the moon landing’s 25th anniversary. There were some structural differences too, such as upgraded foam cores and improved water resistance. But by and large, the balls used the same design of 32 pentagonal panels stitched together. 

That changed in the 2006 World Cup in Germany, when Adidas introduced the +Teamgeist ball. It featured just 14 curved panels, which were thermally bonded together rather than stitched. The design helped keep moisture out so the ball wouldn’t grow heavier throughout the game, Goff says. It was around this time that he started studying soccer balls. In the years since then, he and his colleagues have followed the transformations as Adidas has released balls with different surface textures and even fewer panels—design changes significant enough to affect game play. 

In-flight motion

Goff discovered early on that by analyzing a ball’s trajectory data, he could derive its drag coefficient—a number that determines the air resistance it experiences midflight at a given speed. Shortly after, he began working with a team in Japan to analyze how the World Cup ball’s in-flight behavior changes with each new design. 

The experiments, carried out at the University of Tsukuba in Japan, have been purposely consistent over the years because “maintaining continuity is important for comparing new data with historical data sets,” says Takeshi Asai, a professor there who works on the experiments. They entail attaching the ball to a metal rod connected to an instrument called a force balance, which measures aerodynamic forces such as drag and lift as the ball is exposed to the same wind speeds it would experience in a real soccer game—seven to 35 meters per second. 

The team tests the ball in different orientations, “but you can only do a few because the Trionda ball is $170,” Goff says, and each new test effectively destroys it. The experiments show the team how the drag coefficient changes with speed, and Goff then writes code to simulate the ball’s overall trajectory as it flies through the air.  

The team’s analysis has shown how recent World Cup balls evolved since the eight-panel Jabulani ball for the 2010 event. The Jabulani faced much criticism from players—particularly goalkeepers, who said it had a deceptive trajectory that “dipped wickedly,” as one player told the Guardian. 

The 2010 Jabulani ball (left) had eight panels and a smooth texture that translated into unpredictable performance. Later balls, like the 2014 Brazuca (center) and this year’s Trionda (right), have fewer panels but more roughness.

The ball had one key flaw: It was too smooth. Even though its drag coefficient was relatively low at high speeds, once the ball slowed to a certain point the coefficient would ratchet up, causing it to lose speed quite fast and behave as the 2010 players complained. This sudden transition—called the drag crisis—occurs at higher speeds for smoother balls, but with added texture like seams and grooves, the transition can be avoided until a ball reaches lower speeds. This allows the ball to travel farther and generally behave in a more predictable way during typical play. 

“It’s the same reason why golf balls have dimples and baseballs have those nice 108 double stitches. If those rough features of those balls were not there, you would not get anywhere near the kind of distance when those balls are thrown or hit that you see now,” Goff says. “There has to be some kind of a roughness on the ball to move this transition to a smaller speed.”

New grooves

Subsequent designs have been able to push the drag crisis to lower speeds, according to the analysis by Goff and his colleagues. The Brazuca ball used in 2014, for instance, has only six panels, but their total seam length is much longer, adding to the surface’s roughness. And this year’s Trionda ball contains just four panels, but each panel also has three deep grooves for more texture. 

There’s a trade-off to this roughness, though. While Goff and his colleagues found that the Trionda ball experiences the drag crisis at the slowest speed since 2010, its drag coefficient is also higher than that of the other balls at high speeds. That means that even though the most dramatic change doesn’t happen until the ball is moving quite slowly, the ball will still slow down faster than its recent predecessors during the faster portion of its flight. So the trajectories of long kicks may be a few meters shorter, Goff says. Adidas did not respond to a request for comment.

Fortunately, players in the upcoming World Cup should already be familiar with these added nuances, as they’ve had access to the new ball for at least a few months. The ball, Goff notes, is quite similar to Nike’s Flight ball in design, so players who’ve spent more time with that ball may have an added advantage. 

Meanwhile, Goff continues sending the group’s papers to his colleagues FIFA and Adidas in hope of providing some new insights, and he’s been sent balls by Adidas in the past. Adidas does perform its own unpublished tests of each new ball. The New York Times reported last year that the Trionda’s 3.5-year testing process included robotics designed to kick the ball at specific speeds as well as testing in seven of the 16 host locations. 

But as Goff sees it, soccer is “the world’s most popular sport, [this is] its most important tournament, and the most important piece of equipment in that tournament is this ball right here,” indicating the the Trionda ball that he had on camera with him during our Zoom call. “I think they’re interested in what some external testing looks like.”

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.

The Meta hack shows there’s more to AI security than Mythos

On Monday, reports emerged that attackers had used Meta’s AI customer support agent to steal Instagram accounts. Their approach was simple: they asked the agent to link the accounts to email addresses they controlled, and it complied.

Since Anthropic announced that its Mythos model was too good at hacking for a general release, cybersecurity concerns have focused on the risk of superpowered AI systems overwhelming computer infrastructure. But the Instagram hack shows that far simpler exploits can still cause damage.

As companies offload more work to AI, these comparatively unsophisticated attacks are becoming harder to ignore. Read the full story to understand why.

—Grace Huckins

Are AI chatbots making us lose control of our brains?

Gloria Mark, a psychologist at the University of California, Irvine, fears that digital technologies are weakening our cognitive abilities.

Her research suggests attention spans have fallen sharply over time, leading to higher stress and lower performance. She now believes AI tools like ChatGPT and Claude may accelerate this shift. “You’re deferring your cognitive work to AI,” she said. “And it’s not good for us.”

Mark argues this could weaken critical thinking and emotional intelligence. Luckily, she thinks we can course-correct by changing our relationship with these technologies.

Find out how AI could reshape attention and thinking.

—Jessica Hamzelou

This story is from The Checkup, our weekly newsletter giving you the inside track on all things biotech. Sign up to receive it in your inbox every Thursday.

The must-reads

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

1 Anthropic has called for a global slowdown in AI development
It flagged the risk of models “self-improving.” (WSJ $)
+ And wants a coordinated plan to stop them. (Reuters $)
+ Skeptics note that the timing is awfully convenient. (The Register)

2 In a first, scientists have precisely edited human embryo genes
They relied on a newer gene-editing technique. (NYT $)
+ Genetically-modified babies could be on their way. (Guardian)
+ Companies have big plans for the technology. (MIT Technology Review)

3 US officials have discussed taking financial stakes in the AI firms
They’ve held talks about the government acquiring shares. (Reuters $)
+ Sam Altman pitched the idea to the White House last year. (WSJ $)

4 Bot web traffic has overtaken human web traffic
Cloudflare said 57.4% of traffic now comes from bots. (NBC News)
+ Its CEO expected the milestone at the end of 2027. (CNET)

5 The White House plans to bring AI doctors into American medicine
It wants chatbots to diagnose illness and prescribe medicine. (WSJ $)
+ But we don’t even know if healthcare AI actually helps patients. (MIT Technology Review)

6 Meta quietly added facial recognition code for smart glasses to its app
The exploratory feature would identify people via biometric data. (Wired $)
+ Smart glasses are also entering warfare. (MIT Technology Review)

7 South Korea’s labour minister wants tech firms to share AI profits
Kim Young wants staff and suppliers to get a share. (Reuters $)
+ He helped avert a huge strike over AI profit-sharing at Samsung. (NYT $)

8 Canada’s highly-anticipated AI strategy has launched
It promises over $2 billion in funding and aims to create 250,000 jobs. (BBC)
+ AI could strengthen democracy. (MIT Technology Review)

9 Investment in agricultural tech is booming
That’s good news at a time when we’re facing unprecedented levels of food market volatility. (The Economist $)

10 Bumblebees can use tools to solve problems, new research shows
Not just busy—they’re clever too! (Guardian) 

Quote of the day

“Welp, that happened faster than I predicted.” 

—Matthew Prince, co-founder and CEO of Cloudflare, one of the largest internet hosting services, reacts on X to reports that bots have overtaken humans in driving web traffic.

One More Thing

Inside the machine that saved Moore’s Law

In a Connecticut clean room, the Dutch company ASML is developing the world’s most advanced machine for extreme ultraviolet (EUV) lithography, a crucial process for manufacturing microchips.

The system has become vital to Moore’s Law—the observation that the number of transistors on a chip roughly doubles every two years as components shrink, driving gains in performance and efficiency. “Without this machine, it’s gone,” says Wayne Lam, a director of research at CCS Insight. “You can’t really make any leading-edge processors without EUV.”

Discover how ASML’s EUV technology saved Moore’s Law.

—Clive Thompson

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.)

+ Tech bosses love Tolkien. Here’s what the writer might think of them.
+ Rare footage captures an underwater volcano erupting beneath the Pacific Ocean.
+ Watch a tiny rescued cub grow into adulthood in this heartwarming tiger compilation.
+ This medieval version of “Take On Me” is like stepping into a tavern of synth-pop bards.

This week I’ve been at SXSW London. There’s been music, film, and a lot—and I mean a lot—of talk about AI. I also had the opportunity to sit down with Gloria Mark, a psychologist at the University of California, Irvine, who has spent the last 30 years studying how people interact with digital technologies.

Early in her career, the biggest concerns were the potential impacts of internet and email use on our brains. We may laugh those concerns off today, but it’s true that as the technologies became more ubiquitous and ingrained in our daily lives, our attention spans began to shrink.

Mark is worried that things are only getting worse. The title of our session was “Have we lost control of our brains?” Unfortunately, Mark told me, the answer is yes.

Around two decades ago, Mark started wondering about how our use of devices might affect our attention spans. She set up what she calls “living laboratories,” using sensors and trackers to monitor adult volunteers’ attention, mood, and behavior when they were using devices.

In 2003, she found that the average user had an attention span of around two and a half minutes. That’s how long people could spend focused on one thing before moving on to something else. “That surprised me at the time,” she told me during our session on Wednesday. “I thought: Wow, this is really short.”

But when she repeated the experiment in 2012, she found that attention spans had shrunk—all the way down to around 75 seconds on average, she said. In research she conducted between 2014 and 2020, attention spans shrank further still—to a mere 47 seconds, on average. Yikes.

And it’s not good for us. Mark told me that she’s found switching our attention so frequently is stressful. “We would have people wear heart rate monitors, and … we would see direct correlation between switching attention fast and stress going up,” she told me.

All this distraction makes it harder for us to get stuff done, too. “It just takes longer to do any single task if you’re switching your attention,” she told me. “It’s not great for performance. It’s not great for our emotional well-being.”

And that’s for adults. What about the effects of digital technologies on children? A few months ago, Meta (which owns Facebook and Instagram) and Google’s YouTube were ordered to pay millions of dollars in damages to a 20-year-old woman who had accused the companies of creating products that led her to develop a childhood addiction.

Just a couple of weeks ago, Meta settled another lawsuit, this one brought by a rural school district in Kentucky. The district had also accused the company of designing addictive products that were harmful to students and had sought more than $60 million to cover the costs of their mental-health needs. Around 1,200 other school districts are taking similar legal action against social media companies.

But social media isn’t all bad, all the time. It can provide opportunities for some people, including those from marginalized groups, to form connections that might otherwise be difficult. A 2024 survey of LGBTQ+ teenagers found that while some described social media as a place of rejection and fear, others described it as a place where they felt a sense of belonging, where they could develop friendships and cultivate their identity.

In truth, we can’t definitively say what effects using social media is having on children across the board, says Mark. “There have been lots and lots of studies, and the evidence is to date inconclusive,” she told me. (Despite what you might read in best-selling books on the subject.)

Mark is hopeful that large, long-term studies might finally start shedding a bit more light on this question. An effort of this nature is underway in Australia, which enacted a social media ban for under-16s at the end of last year.

Given this uncertainty over a 20-year-old technology, I wondered if Mark had any thoughts on the potential impacts of AI—an obviously much newer offering that within the space of a couple of years appears to have become deeply integrated into our digital lives.

She told me she’s worried.

When we put in effort to do something—such as evaluating or summarizing content—we’re doing what’s known as “depth of processing,” she told me. “When you’re actively engaged with information, you’re processing it on a very deep level,” she said. “Then you’re more likely to learn it, to understand it, [and] to retain it.”

That’s not happening when most people use AI bots like ChatGPT, Claude, and Gemini. When we ask these tools to write, summarize, or evaluate for us, we’re no longer doing that depth of processing. “You’re deferring your cognitive work to AI,” she said. “And it’s not good for us.”

The risk is that our cognitive abilities will weaken over time. “If you’re not constantly exercising your muscles, they can atrophy,” Mark said. “And that’s exactly what can happen with our minds.” People with weaker critical thinking skills are more likely to fall prey to misinformation, she added.

Interactions with AI-powered “synthetic companions” can be just as harmful. Relationships between human beings take work—time, effort, and understanding. None of that is needed if you’re forming a relationship with a sycophantic bot. The “muscle” we risk atrophying here is emotional intelligence, which surveys suggest is already on the decline, said Mark.

She’s not painting a particularly rosy picture.

“If we continue on this trajectory, attention spans are diminished, loneliness is rising, boredom is rising, emotional intelligence decreasing, and actually our sense of purpose, according to studies, is also decreasing,” she said.

Luckily, she thinks we can course-correct by changing our relationship with these technologies. The key factor is effort.

The more effort we put into something, the deeper the satisfaction we stand to gain, Mark told me. That means making an effort to read a book rather than skimming its summary, and to meet with friends in person when you can. Try not to use GPS in places where you can probably manage without it.

“I love technology; we can’t give it up,” she told me. “[But] we have to learn how to create new life routines.”

This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

On June 5, 404 Media reported that attackers had been using Meta’s AI customer support agent to steal Instagram accounts. Their approach was simple: They asked the agent to link the accounts to email addresses that they controlled, and the agent complied. One attacker broke into the dormant Obama White House account and made pro-Iran posts; others took over accounts with valuable, single-word handles, possibly in order to sell them.

AI cybersecurity concerns are nothing new. Since Anthropic announced in April that its Mythos model was too good at hacking to be released to the general public, commentators, researchers, and federal officials alike have fixated on the idea that superpowered AI systems could lay waste to our computer infrastructure. That’s not quite what this Instagram hack was: There, AI was the target rather than the attacker, and the method was far simpler than anything Mythos would cook up. But as companies offload more work to AI, these comparatively unsophisticated attacks could wreak their own havoc.

“As AI becomes more and more widely used—especially when AI is more and more widely used to automate our work flows, like account recovery—I think attackers are going to be more and more motivated to attack AI itself,” says Neil Gong, a professor of electrical and computer engineering at Duke University.

Gong and other scholars have been issuing warnings about the security vulnerabilities of AI agents for a while. They publish papers and blog posts detailing exploits such as indirect prompt injection, which involves hijacking agents using commands hidden in websites, emails, or other seemingly anodyne data sources. Compared with these techniques, the Meta hack was practically mindless. The only complication that hackers had to overcome was using a VPN that matched the true account owner’s location; then they directly asked the support agent to change the account’s email address, and it complied.

Meta has not commented publicly on how this vulnerability slipped through the cracks. But given the simplicity of the exploit, Gong says, it should have been uncovered easily, before the agent was deployed. “It’s really surprising,” he says. “I don’t understand why they didn’t find this simple problem.”

Jessica Ji, a senior research analyst at Georgetown’s Center for Security and Emerging Technology, agrees. “It raises questions like: Were there even guardrails in place?” she says. “Did anyone think to test for this kind of scenario?” She notes that the oversight is particularly striking coming from a company like Meta, which has extensive expertise in both AI and cybersecurity. Meta did not respond to a request for comment for this article, but on Monday a Meta spokesperson said on X that the vulnerability had been resolved.

As embarrassing a moment as this might be for Meta in particular, it also highlights some core vulnerabilities shared by all AI agents. Unlike traditional software, agents can respond in flexible—and unexpected—ways to new circumstances, which is why they might be able to substitute for human customer support agents. But AI agents can also be tricked in ways that humans wouldn’t be, and because they can take real-world actions, those mistakes have consequences. “A human would say, ‘Okay, why do you want to change the email address?’ and maybe respond with a security question,” says Somesh Jha, a professor of computer science at the University of Wisconsin–Madison. “What is going on with these agents is they’re very eager to finish the task. It’s almost like some elementary school student who just wants to please the teacher.”

But there are also countervailing forces. Companies want to deploy capable agents, and the more power an agent has—and the fewer guardrails it is subject to—the more work it can potentially take on. “Security and utility always have a trade-off,” says Bo Li, a professor of computer science at the  University of Illinois Urbana-Champaign. And adequate red-teaming can be expensive. Defenders have to expend more resources than attackers do, because attackers only need to discover a single exploit, while defenders try to discover and patch as many as they can. When attackers are working toward something as valuable as a single-word Instagram handle, they’ll pour resources into finding exploits, so defenders have to spend even more money to protect that prize. 

As AI models continue to improve, hardening their defenses might actually get easier. Though the probabilistic nature of large language models means that LLM agents will always be vulnerable to some forms of attack, a more sophisticated model might have identified an attempt to change the email associated with the Obama White House account as suspicious. And AI systems can be used for agent red-teaming, much as participants in Anthropic’s Project Glasswing use Mythos to identify vulnerabilities in their software. 

Still, experts expect that the problem of securing AI agents will only become more pressing in the future. As agents grow more capable, companies that adopt them may want to give them more power, both to provide more services with fewer humans and to avoid being left behind by their competitors. In the fast-moving world of AI, the time needed to carefully secure risky agentic systems might seem like an unconscionable delay.

“Everybody wants to be the first to do something and just push things out without careful scrutiny and red-teaming,” Jha says. “I think it’s a very dangerous thing.”

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 courts are coping with a flood of AI-generated lawsuits

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. The number of these filings has more than doubled compared to before 2023. She puts that jump down to AI. 

But while AI appears to be expanding access to justice, it doesn’t seem to be improving people’s chances of winning. Judges are starting to question what rights and duties chatbots should have as they stand in for lawyers. Lawmakers, meanwhile, are grappling with who should pay the price when chatbots produce bad legal advice.

Read the full story on how AI is reshaping access to the law.

—Michelle Kim

How virtual power plants could provide energy for data centers

Would you take a payment to ramp down your electricity use? Would it change anything if you were doing so to help power a local data center? A new project backed by Google will put those questions to the test.

The company has signed a deal to fund a virtual power plant in the largest power grid in the US. The system will group together devices like electric vehicles and smart thermostats, paying customers to adjust their usage when the grid is stretched.

The project could free up capacity for Google’s data centers—but there’s a catch: people might not play along. Find out what the future holds for these virtual power plants.

—Casey Crownhart

This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign up to receive it in your inbox every Wednesday.

The must-reads

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

1 The EU has proposed new legislation to end its Big Tech dependence
The laws aim to boost domestic ​cloud, AI and semiconductors. (CNBC)
+ US firms would be blocked from critical public tenders. (Reuters $)
+ It also wants to make sure non-EU actors cannot disrupt tech services with a “kill switch.” (The Guardian)
+ But the proposal needs to be negotiated with EU member states. (Politico $)

2 Intelligence agencies warn Chinese spies are recruiting on LinkedIn
The Five Eyes alliance said Beijing is using job platforms for espionage. (BBC)
+ The spies are allegedly recruiting government and military staff. (Politico $)
+ The Chinese embassy in the UK condemned the accusations. (Bloomberg $)
+ Meet the man hunting the spies in your smartphone. (MIT Technology Review)

3 AI CEOs have called for a law protecting against biological weapons
They warn that synthetic DNA could be used for bioweapons. (Wired $)
+ Sam Altman, Dario Amodei, and Demis Hassabis joined the call. (WSJ $)
+ No one’s sure if synthetic mirror life will kill us all. (MIT Technology Review)

4 Firms are using Reddit to manipulate ChatGPT and Google AI search
They’re spamming subreddits to get posts scraped by chatbots. (404 Media)
+ What we’ve been getting wrong about AI’s truth crisis. (MIT Technology Review)

5 Meta keeps delaying the launch of its new AI model
The new Muse Spark ‌AI model API still has no release date. (WSJ $)
+ Which is hampering Meta’s plans to monetize its AI investments. (Reuters $)

6 For the first time, a US city has voted to permanently ban data centers
Monterey Park, California, voted in favor of the move. (LA Times)
+ Should we be moving data centers to space? (MIT Technology Review)

7 China is betting on household chore training to advance robotics
Data harvested in homes and factories provides a scaling edge. (Rest of World)
+ Gig workers are training humanoids at home. (MIT Technology Review)

8 Sam Altman will urge US lawmakers not to require AI model approvals
He’s advocating against proposals for new AI rules. (Reuters $)
+ His move comes after President Trump signed a new AI order. (Wired $)

9 Quantinuum raised $1.68 billion in an IPO as quantum computing rises 
Investors flocked to one of the fast-growing sector’s leaders. (Reuters $)

10 Someone finally wants to hire philosophers: Silicon Valley
Big tech hopes they will help build better machines. (The Atlantic $)

Quote of the day

“Historically, these companies have been very willing to play Russian roulette—and they’re playing another round.”

—Connor Leahy, an AI researcher, former hacker and US director of ControlAI, tells the Financial Times why he’s concerned about Anthropic’s relentless race to the top.

One More Thing

What an octopus’s mind can teach us about AI’s ultimate mystery

Emily Bender, a linguist at the University of Washington, has developed a thought experiment she calls the octopus test. It involves an octopus learning to copy patterns in human writing and produce squiggles in response. But does the animal actually understand the language or are we merely projecting meaning onto it?

Bender’s octopus is a stand-in for AI systems like ChatGPT. The intelligence we see in these machines is also projected on them by us. The same applies to consciousness: we may claim to see it, but it remains unclear whether it is really there.

Read the full story on the debate over machines with minds.

—Will Douglas Heaven

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 where iconic sound effects actually came from in this fabulous audio history.
+ Need a serotonin boost? Then tune into this live puppy cam from Denali National Park.
+ Linux lovers can try 570 extinct operating systems at a new virtual museum.
+ Beethoven’s “Moonlight Sonata” becomes something entirely different in this lightning-fast bass guitar performance.

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mindful of how daunting it is to walk into the courtroom alone. 

Lately, like many judges across the US, she has seen a noticeable uptick in such filings. According to a new study that examined 4.5 million federal civil cases from 2005 to 2026, the share of lawsuits brought by self-represented people increased from 11% in 2022 to 16.8% in 2025. Within those cases, the number of filings made more than doubled from pre-2023 levels. 

Judge Braswell puts that jump down to AI. 

“I do correlate that to AI in part because I see AI use,” she says. As a tech-savvy judge who uses AI to vet court documents, she’s learned to recognize how large language models write. She can tell from the prose and at times, hallucinated cases and fabricated quotes. 

“I’m also actually seeing better-drafted pleadings,” she says. 

But while AI appears to be expanding access to justice, it doesn’t seem to be improving people’s chances of winning. Judges are also starting to question what kinds of rights and responsibilities large language models should bear as they step into lawyers’ shoes. For example, they ask whether a chatbot has a duty to provide good advice, as a human lawyer does. And a growing number of lawmakers across the US are starting to grapple with who should pay the price when chatbots dish out bad legal advice. 

AI supercharges lawsuits

To test whether AI was driving the increase in lawsuits filed by people without a lawyer, the authors of the study, Anand Shah at MIT and Joshua Levy at the University of Southern California, ran 1,600 randomly sampled court documents through Pangram, a commercial AI-text detector. The share flagged as containing AI-generated writing rose from 1% in 2023 to 18% in 2026. 

To Judge Braswell, that’s not necessarily a cause for concern. While the surge of AI-assisted filings might be adding to their workloads, she and many other judges find the cases easier to rule on because AI is helping people without legal training better articulate their arguments. 

Court documents written by people without lawyers are notoriously hard to decipher. Some arrive as handwritten scrawls bordering on gibberish that judges take a while to decode. However cryptic, judges are required to read them charitably.

These days, Judge Braswell has been churning through motions drafted by AI faster than the ones written by the litigants. “I have to be really careful because some of them contain hallucinations and errors, but I can generally understand what they’re arguing better with AI assistance from them than without it,” she says.

The clearer filings let Judge Braswell hear them better. “If I understand an argument a little bit better, I’m probably going to be able to help a little bit more,” she says.

Online communities are springing up to trade self-help guides on using AI to sue. In December 2024, a viral Reddit post walked immigration applicants through suing the United States Citizenship and Immigration Services over delayed review of their applications: draft a writ of mandamus with Microsoft Copilot, pay a lawyer $150 to polish it, and file in the expedient District of Vermont. Cases filed by people without lawyers in Vermont rose from about 45 a year before 2022 to more than 1,100 in 2024. 

Even so, people without lawyers are far more likely to lose their case than people with lawyers, and that’s not changing even with the addition of AI, the study found. 

“It turns out that mounting a lawsuit is a complex, multifaceted task. Not all of it is just drafting text,” says Levy. 

Chatbot-client privilege

Judge William Garfinkel, a federal magistrate judge in Connecticut, has served on the bench for three decades, pondering all sorts of questions about lawyers’ relationship with their clients. Lately, he has been wondering whether people’s conversations with chatbots dispensing legal advice should be privileged, the way their conversations with lawyers are. 

“You can make a good argument that … conversations with large language models like Claude or ChatGPT or Grok should deserve some protection,” he says.

Courts are starting to grapple with this question. In February, a federal court in Michigan ruled that a self-represented person’s conversations with ChatGPT to prepare her case were work product—legal work that is shielded from the opposing side.

The decision came on the same day a federal court in New York held that documents a criminal defendant had generated using Claude were not privileged attorney-client conversations or work product. The court argued that Claude is not an attorney and that a user has no “reasonable expectation of confidentiality in his communication” with it because AI companies can disclose user data to third parties. 

In March, Judge Braswell ruled that a self-represented person’s use of a chatbot should stay off limits. “It is true that AI systems like ChatGPT, Claude, Gemini, and others … collect user data for training and other purposes. But … that does not eliminate all expectations of privacy,” she wrote. Courts have since remained split on the issue.

Malpractice without a pulse

Some judges are also wondering whether a chatbot, like a lawyer, has a duty to provide good legal advice. Judge Allison Goddard, a federal magistrate judge in California, has noticed that people without lawyers often get the wrong advice from ChatGPT when trying to assess the value of their case during settlement negotiations. In one case, a plaintiff who slipped and fell in a store asked for $700,000 from the store, which was wildly more than the case was worth.

“Where are you getting the idea that you’re getting $700,000? Did you go to ChatGPT?” Judge Goddard asked. “Well …” the plaintiff mumbled. She then walked the person through the law to explain why ChatGPT was wrong and suggested a lower amount. “It’s like Dr. Google went to law school,” she says.

Then there’s the question of who’s liable when a chatbot makes such mistakes. In March, Nippon Life Insurance Company sued OpenAI alleging that ChatGPT practiced law without a license and helped a woman reopen a lawsuit that was already settled, flooding the court with frivolous filings. “ChatGPT is not an attorney,” the lawsuit said. 

In May, OpenAI asked the court to dismiss the case, arguing that ChatGPT does not practice law. “ChatGPT is not a person and neither has nor uses any degree of legal ​knowledge or skill,” OpenAI said in its filing. The case is still pending before the court.

States have started to weigh legislation that would hold AI companies liable when their chatbots offer bad legal advice. New York introduced a bill in March that would bar chatbots from impersonating lawyers, even if they notify ​users that they are interacting with chatbots. In Congress, a series of bills have been proposed to ban chatbots from posing as lawyers, doctors, and other licensed professionals. The bills have yet to gain traction.

For now, people will continue turning to AI to be their lawyer. For many of them, the rewards outweigh the risks. Not long ago, when Judge Braswell asked self-represented litigants why they wanted a particular piece of evidence, they mumbled timidly. Now, they answer her questions confidently, having rehearsed with a chatbot. 

“This is a really tough system to navigate. With AI, though, it gets a little less complex,” she says.

Would you take a payment to ramp down your electricity use? Would it change anything if you were doing so to help power a local data center?

Google just signed a new deal to help pay for a virtual power plant (VPP) in the largest power grid in the US. The agreement is with Voltus, a leading VPP and distributed energy resources platform.

Voltus will set up the virtual power plant, grouping together devices like electric vehicles and smart thermostats. It’ll pay customers to participate, and the company will dial back power or use the stored energy during times when the grid is stressed. Google will foot the bill for setting it up, and the extra capacity generated by the project will help run its data centers in the region.

This is one of the most concrete examples so far of a tech giant using a VPP to help meet energy demand for data centers. But there are still some lingering questions about just how far this sort of program can go, and what the limits are.

Last year, it felt as if everyone was talking about data center flexibility. A high-profile study from Duke University found that if data centers agreed to decrease their energy demand for roughly 40 hours per year, a whole bunch of them (about 100 gigawatts’ worth) could come online without making new power plants or transmission equipment necessary.

The underlying reason is that our power grid is designed not for our average energy use, but for the absolute maximum: the brutally hot July evening when everyone is blasting their air conditioners, watching Love Island, and microwaving popcorn. If a data center is willing to refrain from pulling so much power during those high-stress times, the grid can happily support it the rest of the year.

One lingering question here is about incentives: How would you get data centers to agree to this? After all, they might not have a very flexible load, especially now that AI use is more widespread—training a model can easily be delayed or shifted, but customer demand is more immediate. Giving up computing capacity could mean losing revenue.

Regulation is one approach that could work here. One proposal in the US would allow new data centers to come online years sooner if they agree to lower demand when the grid is nearing its max.  And a new Texas law requires large users to switch to backup power or curtail their demand in emergency situations.

Another approach is for data center operators to pay for other people to be flexible.

Voltus announced a new program in September that allows data centers to finance flexibility on their local grid. The company calls it “Bring your own capacity.” Google is now the first named customer taking advantage of this program.

In the new agreement, Voltus will pay people who agree to participate in the virtual power plant. The plant will be part of PJM, the grid that covers much of the US East Coast. The company says it will be able to aggregate up to 100 megawatts of distributed energy resources each year. The plant should be operational in 2027, according to Voltus.

This isn’t Google’s first foray into flexibility; the company has agreements with utilities across the US to limit or shift its own energy demand, which can help free up grid capacity. As the company pointed out in a blog post earlier this year, though, there are limits on how flexible a data center can be, and not every facility will be able to ramp down its power demand.

“There is no one solution for expanding grid capacity and we’re continuing to explore all options, including the many avenues for load flexibility,” said Michael Terrell, Google’s global head of advanced energy, in an emailed statement in response to written questions.

Once again, I’m wondering about incentives here. These companies are asking homes and businesses to be flexible. Will they agree?

A recent study in California looked at local people’s willingness to participate in managed electric-vehicle charging. Essentially, the program pays people to give up control of when they charge their EVs. This is another way to help smooth out electricity demand and ease the burden on the grid.

The problem? Not many people signed up. With no economic incentive, only 1% of EV owners enrolled in managed charging. At $40 per month (about 15% of their power bill), only 4.6% did.

This is a different situation and a different region from the one in which Google is working with Voltus. (It’s worth noting that the companies aren’t sharing how much they plan to pay the participants, which will obviously be a big determinant in participation for this kind of project.) 

But this study shows that even with money on the table, people may not always jump at the chance to cede control of their electricity demand. And it certainly feels relevant that about 70% of Americans oppose AI data centers in their area, according to recent Gallup polling. 

Being flexible sounds like a great idea in theory, and these financed VPPs could provide an immediate route to meeting energy demand. But as we move from idea to implementation, it’ll be interesting to see whether trial runs work as intended.  

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

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.

5 key points in Trump’s new AI order

Less than two weeks after scrapping an executive order on AI, President Donald Trump signed a new one on Tuesday. Promising to promote innovation and security, the policy represents a turning point in the White House’s AI governance—but is likely to attract criticism from both opponents and supporters of stricter regulation. Here are five key points from the order:

1. It’s created a voluntary review system: tech companies will be asked to share frontier models with the government for review 30 days before they plan to release them.
2. There’s no mandatory licensing: the government will not require permits before software can be deployed.
3. It establishes a dedicated AI cybersecurity clearinghouse: the new hub will coordinate security checks with the private sector.
4. It’s a watered-down version of the order Trump shelved last month: the earlier version requested models 90 days before their release.
5. But it’s still a move towards stronger AI oversight: the policy marks a clear departure from the White House’s previous hands-off approach.

Plus: here’s why a previous Trump administration’s AI policy was a distraction and how AI is already making online crimes easier. 

MIT Technology Review Narrated: inside Anduril and Meta’s quest to make smart glasses for warfare

The defense-tech company Anduril has shared new details about the augmented-reality headset for the military it’s prototyping with Meta, including a vision for ordering drone strikes via eye-tracking and voice commands.

Quay Barnett, who leads the effort at Anduril following a career in the Army’s Special Operations Command, aims to optimize “the human as a weapons system.” His vision is cyborg-inspired: drones and soldiers will see together, share information seamlessly, and make decisions as one.

—James O’Donnell

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 President Trump has signed an AI order that expands model oversight
The long-awaited executive order aims to mitigate security threats. (NYT $)
+It asks companies to submit models voluntarily for tests before release. (NPR)
+ It’s a slimmed-down version of the order Trump shelved in May. (WSJ $)
+ And marks a strategic shift in his AI strategy. (Reuters $)
+ A war over AI regulation is coming to the US. (MIT Technology Review)

2 SpaceX plans to raise $75 billion in IPO at $135 per share
The company intends to sell 555.6 million shares. (Reuters $)+ The fixed price breaks from the traditional IPO process. (Bloomberg $)
+ Morningstar says the valuation should be nearly 50% lower. (BI)

3 Meta has scaled back plans to track workers’ clicks and keystrokes to train AI
All staff can pause it for 30 minutes, with some fully exempt.(The Information $)
+ The changes follow a fierce backlash to the tracking plans. (Reuters $)
+ AI is supercharging surveillance. (MIT Technology Review)

4 Microsoft wants to ‘make users addicted’ to its new AI assistant
According tointernal documents for the “Scout” tool. (404 Media)
+ Microsoft launched the assistant on Tuesday. (TechCrunch) 

5 Mathematicians fear that AI threatens their field
A new declaration raises concerns about AI’s trustworthiness. (Ars Technica)
+ It arrives a week after OpenAI said it solved a famous math problem. (WSJ $)
+ A startup wants to change how mathematicians do math. (MIT Technology Review)

6 Scientists have found a way to supercharge computer worms with AI
The worm could target any known flaw in the world’s computers. (NYT $)
+ AI supercharging scams. (MIT Technology Review)

7 Google must let UK publishers opt out of AI search features
Online publishers can choose not to appear in the AI Overviews. (BBC)
+ Google is now testing features for sites to exit AI search. (Reuters $)

8 America’s data center build-out is falling way behind schedule
60% of those planned for completion in 2027 aren’t yet under construction. (WSJ $)
+ Nobody wants a data center in their backyard. (MIT Technology Review)

9 EVs are getting cheaper worldwide—except in the US
The US is short on supportive policies and affordable Chinese EVs. (Rest of World)

10 The European Parliament is ditching Google for… Qwant
The French search engine is the new default on in-house computers. (Politico)
+ The switch comes amid a broader push to wean the EU off US tech. (FT $)

Quote of the day

“SpaceX’s valuation could be richer than a plate of dauphinoise potatoes.”

—Dan Coatsworth, head of markets at AJ Bell, tells CNBC that SpaceX’s IPO price looks overloaded with expectations.

One More Thing

Marseille’s battle against the surveillance state

Heading toward Marseille’s central train station, Eda Nano points out what looks like a streetlamp on the Rue des Abeilles. But this sleek piece of urban furniture is not a lamp. It’s a video camera, with a 360-degree view of the narrow street.

Nano, a 39-year-old developer, wants to make Marseille residents more aware that they’re being watched. She’s part of a growing group of activists resisting the rise of policing cameras in their hometown.

Find out how the rebellious port city of Marseille is fighting the surveillance state.

—Fleur Macdonald

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.)

+ These aerial photos of solar farms transform renewable energy into abstract art.
+ Open a window over Earth’s water with this hypnotic 4K atmospheric film made from satellite imagery.
+ Spend three relaxing hours with David Attenborough narrating this collection of extraordinary wildlife moments.
+ Radiohead sounds beautiful on traditional Japanese instruments in this koto performance of “Weird Fishes/Arpeggi”.

Correction: This story originally contained a misspelling of the name of the company Qwant. We apologize for the error.

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 small businesses can leverage AI

From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. Large companies can hire experts to handle these tasks, but small businesses don’t always have that luxury.

That’s where AI comes in. Today’s models can already take on a range of basic administrative work, from organizing notes and summarizing meetings to invoicing, goal-setting, and social media planning. Find out how small-business owners can put AI to work.

—Peter Hall

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox, sign up here.

The must-reads

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

1 Anthropic has confidentially filed for IPO ahead of OpenAI
It aims to go public as early as this fall. (CNN)
+ The company did not disclose its target valuation. (Guardian)
+ It’s expected to list shortly after a trillion-dollar IPO by SpaceX. (BBC)
+ Beating OpenAI in the IPO race could have a big impact. (WSJ $)

2 The EU may exclude US cloud giants from critical contracts
The likes of Amazon, Microsoft, and Google could be shut out. (Reuters $)
+ The EU aims to reduce its dependence on US tech. (FT $)
+ Trump supercharged this sovereignty push. (Politico $)

3 Florida has become the first state to sue OpenAI
The lawsuit targets ChatGPT’s alleged child safety risks. (NPR)
 + Florida says OpenAI put profit ahead of safety. (Reuters $)
+ Chatbots are now starting to check user ages. (MIT Technology Review)

4 Hackers stole Instagram accounts just by asking Meta AI for them
They easily broke into a host of celebrity profiles. (404 Media)
+ The exploit shows the risk of offloading support to AI. (TechCrunch)
+ AI is making online crimes easier. (MIT Technology Review)

5 Chinese universities with military ties are seeking Nvidia chips
Two are blacklisted by the US Commerce Department. (Bloomberg $)
+ The Chinese military has sought restricted Nvidia chips for years. (NYT $)
+ US senators have slammed a loophole in chip export rules. (Reuters $)

6 Blue Origin and NASA disagree on a crucial rocket’s next flight
+ Blue Origin says the rocket will fly again this year. (Engadget)+ But NASA is less optimistic. (CNBC)+ The rocket’s failure cast doubt on NASA’s moon plans. (BBC)

7 Moderna has won funding to develop an Ebola mRNA vaccine
The CEPI has pledged over $60 million to the effort. (Ars Technica)
+ To fight an outbreak raging out of control. (MIT Technology Review)

8 China is using AI to predict future political dissent
A company called Geedge Networks is developing the tech. (NYT $)

9 Geoengineering can thicken Arctic ice, but melt results are mixed
Trials show the tech has had a limited impact. (New Scientist $)

10 Top AI labs are expanding research into machine ‘consciousness’
Meta, Anthropic, and DeepMind are increasing their investments. (FT $)
+ A new tool could show how consciousness works. (MIT Technology Review)

Quote of the day

“Sam Altman and ChatGPT have chosen the AI race over the safety and security of our kids. They have chosen profit over public safety, and we’re not going to stand for it in here in Florida.” 

—Florida Attorney General James Uthmeier tells reporters why his state is suing OpenAI, the LA Times reports.

One More Thing

Why the sci-fi dream of cryonics never died

Cryonics is best known for its appearance in sci-fi films like 2001: A Space Odyssey. But its adherents have held on to a dream that advances in medicine will one day allow for resuscitation and additional years on Earth.

Around 500 people are preserved in liquid nitrogen globally, while another 4,000 are on waiting lists. Despite scant evidence that cryonics can work, believers remain optimistic that future science could eventually revive them.

Discover why the hope of human reanimation refuses to die.

—Laurie Clarke

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.)

+ Hear Dolly Parton reimagined through this spot-on Dire Straits-style cover of “Jolene”.
+ Find out which birds people search for most in this interactive visualization of bird popularity.
+ Explore thousands of Q&As between students and astronauts on the ISS at this interactive site.
+ Paris’s oldest bridge disappeared beneath a giant inflatable cave in this surreal public art installation.

The global health care sector is under increasing strain. 

Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse. The World Health Organization has warned that current shortfalls will increase to 11 million workers by 2030. 

In their urgent hunt for a solution, many health-care providers are now pinning their hopes on agentic AI, with more than two-thirds (68%) having already adopted AI agents into their workforce, according to KPMG. 

The technology is being deployed to automate complex back-office processes, collaborate with medical teams, and even triage patients, all in a bid to reduce the cognitive load on clinicians and improve quality of care for patients as the supply of human health-care workers dwindles.

A different type of digitalization 

Until now, the benefits of digitalization within health care have been limited. 

Many staff have blamed slow or outdated technology for adding to the administrative burden rather than alleviating it. For example, U.S. patient data was migrated to electronic health records (EHRs) in the early 2000s, but this data remains fragmented and reliant on manual inputs. 

New telehealth services and digital care tools, like remote monitors, have had similar shortcomings, says Ashis Barad, MD, chief digital and technology officer at Hospital for Special Surgery (HSS), an academic medical center in New York that focuses on musculoskeletal health. Both technologies have helped improve access to health care by removing geographical barriers, he says, but they’ve failed to replicate the quality of in-person care or win trust from patients. 

Agentic AI is different from these existing technologies, he insists. 

Rather than relying on manual inputs or defaulting to human workers for any case that sits slightly outside a rigid framework, AI agents can handle nuanced, complex scenarios. They can make autonomous decisions, retrieve information from expert clinical sources, and iterate over time, freeing clinicians to focus on higher-level patient care. As Dr. Barad puts it: “Agentic AI takes your workflow and collapses it, augments it, supercharges it, and makes it more performant.” 

At HSS, AI agents have already been deployed in multiple areas. They handle complex backend processes, such as insurance claims that previously took several weeks to complete and involved both HSS staff and a third-party contractor to handle the volume. Now, says Dr. Barad, AI agents complete 1,100 claims per month. They’ve reduced the appeals stage from 45 minutes to five and improved the success rate of those appeals from 65% to 100% in the nine months since implementation. HSS now handles all claims in-house. 

Building on that success, HSS is now deploying AI agents in non-clinical patient-facing settings with an AI scheduling and triage service, as part of a collaboration with enterprise agentic AI developer Ema Unlimited. The service is accessible 24/7 via web, text, or phone. It uses conversational AI to ask patients clarifying questions about their condition and then books appointments with the most appropriate clinician, factoring in location, insurance coverage, and physician availability. “It completes the whole loop,” says Dr. Barad. The AI agent is trained on “all of our context, all of our rules, and all of our knowledge base,” he adds, providing patients with streamlined access to highly specialist knowledge from world-leading surgeons.

Given the high-stakes decisions delegated to AI agents, the triage service has built-in safeguards—sensitive, complex, or uncertain scenarios are escalated to human specialists. Every decision made by the AI agent is auditable and human staff can step in at any point. Patient data is kept secure and the system is trained on all HSS protocols, policies, and care pathways. By keeping humans in the loop, Ema says its technology strikes the balance between efficient automation, patient-first safety, and human-informed decision making. 

As the technology becomes more prolific, it will be incumbent on providers to ensure they have these sorts of guardrails embedded into systems, says Dr. Barad. At HSS all decisions around the technology are filtered through an AI subcommittee that Dr. Barad co-chairs alongside a senior nursing executive. AI agents that may touch on patient care will be scrutinized with far more rigor than, say, backend processes, he explains.

AI agents prompt systems-level change

For example, Dr. Barad has plans to create a dedicated AI lab at the HSS main campus in New York City—a move that aims to democratize access to the technology across the organization. It will be open to all staff looking to understand or build AI agents, he explains, with informative classes and one-on-one training. “We’re getting agentic AI into everybody’s hands,” he says. This echoes research by Deloitte, which found that leading agentic AI adopters in health care were far more likely to have opted for multiagent solutions, redesigning end-to-end workflows rather than sticking to narrow solutions or individual use cases.

The key, it appears, is to integrate AI agents across the entire enterprise, treating them as a general-purpose technology. As Dr. Barad puts it: “It’s wrong to think of agentic AI in use cases… It’s a general-purpose technology, analogous to electricity.”

In practice, this means health-care providers need to set the right foundation to achieve value with agentic AI. This includes creating a unified data strategy, one that integrates fragmented data sources across an organization to create a single, comprehensive source of truth. In health care, data is often split across multiple departments and providers, each with their own legacy IT system.

In systems that rely on fragmented data sources, metrics often lack standardized definitions too. For example, Dr. Barad says that each hospital he’s worked in has had a slightly different definition for “time to start surgery,” a metric commonly used to gauge operating room efficiency. This level of fragmentation impedes AI agents from retrieving information from different sources or applications and assimilating the tacit knowledge that differentiates them from other technologies.

By creating greater interoperability of data at HSS, patient-facing AI agents can draw from a patient’s clinical care history and existing recommendations from their clinician, combine this information with current symptoms, and decide whether a situation requires escalation before notifying the correct specialist and informing the patient. 

Building better outcomes

For Dr. Barad, the potential for AI agents to overhaul health care and alleviate the current pressures on resources, access, and patient care is huge. 

He envisions a future in which 90% of non-clinical health-care tasks could be administered by AI agents, freeing clinicians up for what he calls white-glove work, meaning the most complex, specialized, and sensitive cases.

Most health-care providers seem equally optimistic. According to research by KPMG, 84% of providers are already comfortable handing decision making about specific processes over to AI agents.

“We’re spending so much time on keyboards and computers right now that we’re actually not doing what we should be doing,” says Dr. Barad. “This is going to rehumanize health care.”

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

This article is from Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across industries. To receive it in your inbox,sign up here.

From accounting to design to market research and product development, there’s a staggering breadth of skills needed to run a business. A large company can hire experts to handle these tasks, but small businesses don’t always have this luxury.

That’s where AI comes in. Today’s AI models do a decent job at these tasks. The trick for small businesses is to understand where AI is good enough and where it’s not.

One place where a “good enough” AI can already be quite valuable to small business owners is in providing secretarial skills and handling basic administrative matters. Let’s take a look at how one private tutor is using it to improve his recordkeeping and free up his time.

Case study

Sam Finnegan-Dehn works in fundraising for a charity, but he moonlights as a math and philosophy tutor for university students from his home in London. Through this part-time business, he can leverage his degrees in philosophy and share his love of the subject with clients.

But meeting with students is only a fraction of the work it takes to be a good tutor. He also plans lessons and finds fresh reading materials, creates assignments, sends invoices, and keeps up with new research—all on top of his regular job. Given these demands, Finnegan-Dehn doesn’t have as much time as he’d like to grow his tutoring roster.

So he’s turned to AI for some help in managing the day-to-day aspects of his business. He says AI has taken on a secretarial role across all of his digital notebooks, where he jots down reminders about his clients’ progress and new readings to keep himself up-to-date. He describes using AI as kind of like having a second memory that helps him connect ideas he’s written down in various places.

While he has experimented with different tools like Claude and ChatGPT, he’s now landed on Notion AI because it integrates better with his tutoring notes, which live across his notebook tabs in the Notion app. Finnegan-Dehn doesn’t use AI to create teaching materials, but he does let Notion AI record meetings with his clients (after getting their consent), and then uses its automated summaries to refine his teaching strategy. For example, if he notices from the AI’s summary that it seems like a certain technique was not helping a student, he may change how he approaches the subject next time.

Beyond this, Notion AI also helps him with goal-setting, drafting lesson notes, invoicing, and generating and syncing social media posts. For goal-setting, for example, Finnegan-Dehn says he understands his long-term goals for his business but not always the concrete steps to build to them. He uses AI to help fill in these gaps. He starts by writing down a “North Star” goal—say, to have a certain number of clients by the end of the year. Next, he asks his AI to generate the steps that he needs to take to get there, given the profile he has built up in the app. Then, he can reflect on the results and choose which tasks to tackle first.

The tool

Notion has been a big player in note-taking software for many years. Its AI add-on, released in late 2023, now has tools that enable it to interact with many other online productivity platforms. There’s an email client, calendar integrations, and a newly released agent. And while this level of access has raised privacy concerns, it can also make for a pretty powerful virtual assistant.

Many of the tasks targeted by Notion AI are less creative and more rote: syncing information across documents or searching through old scribbles, for example. This makes the tool especially appealing to small business owners, who have limited bandwidth, particularly for menial work.

Other companies are developing tools targeted at specific industries. For example, Grandma’s Quilt Shop in Yuma, Arizona, uses Rain, which has a software suite tailored to craft companies, to generate inventory descriptions and pricing for its stock of fabric designs. The owners claim this AI tool cuts the time it takes to list items by 60 to 80%.

There are drawbacks, though, as Finnegan-Dehn described some of Notion AI’s idiosyncrasies as “clunky” at times. And the AI add-on for Notion costs $20 per month. As with all new tools, small business owners should carefully assess how the potential gains and headaches measure up against the cost of just doing the job themselves.

User tips

Consider these points when thinking about whether AI might be able to help you run a business, or make any part of your work life just a little bit easier. 

• Look before you leap. Since LLMs feed on the data you input to answer your queries or complete tasks, you want to give them information in a way that’s convenient for you and for the model. For many of these notebook AI services, this means, for example, using their platform for notetaking so you don’t have to input or upload notes later. Because of this, it’s a good idea to weigh your options carefully before committing to an AI-powered ecosystem.
• Work to your strengths. Think about what skills you lack in-house, and see if AI can either help with training or take these tasks on for you. Just be aware: AI hallucinates and makes mistakes, so think about where accuracy is needed and keep humans in charge there.
  
• AI isn’t always the best tool. It’s okay to use something off the shelf when that’s the better choice. It’s going to be safer, for example, to use existing payment processing platforms like Shopify or Square than to vibe-code one using AI.
  
• Consider using local models for any sensitive information. Our reporting has covered the risks that online AI models have in leaking sensitive data, and there have been many reports about how AI companies collect your data when you ask their chatbots questions. Even if your business doesn’t handle personal information, there can still be some things you’d prefer not to share publicly. In these cases, using an open-source model that makes inferences on your prompts locally can be a great option, instead of ChatGPT or Claude or other proprietary models. Thankfully, some LLMs can now be run off of laptops and small desktops. Here’s how to set one up and start using it.

Sign up for Making AI Work, MIT Technology Review’s limited-run newsletter examining how to apply LLMs across healthcare, climate tech, education, and more.

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.

China has approved the world’s first invasive brain-computer chip—here’s what’s next

Sitting in the courtyard of his house in China’s Henan province last October, Dong Hui decided to try holding a pen. Six years after a car accident left him paralyzed from the neck down, he slowly wrote his name, “Thank you,” and the date.

The breakthrough was made possible by a brain implant called NEO. In March, it became the world’s first invasive brain-computer interface approved for use beyond clinical trials. The approval is expected to accelerate China’s push to become a global leader in brain implants.

Read the full story on how China reached this milestone—and what it means for the future of brain-computer interfaces.

—You Xiaoying

The must-reads

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

1 Nvidia is launching its first AI chip for personal computers
The RTX Spark will power laptops from Dell, HP, Microsoft, and others. (BBC)
+ They’re being designed specifically to run AI agents. (WSJ $)
+ The first devices are set to launch on Windows PCs in the fall. (CNBC)
+ The move marks a challenge to Apple and Intel. (FT $)

2 The US is stopping exports of AI chips to Chinese firms abroad
It’s closed a loophole allowing exports to Chinese subsidiaries. (Reuters $)
+ Which may have enabled unlicensed access to Nvidia chips. (Al Jazeera)
+ Export curbs have led China to redesign its chip industry. (MIT Technology Review)

3 Surgeons have transplanted pig liver and kidneys into a living person
The clinically dead recipient’s organs worked for almost five days. (Nature)
+ Pig organs could ease transplant shortages. (Guardian)
+ Putin says organ transplants could grant immortality. (MIT Technology Review) 

4 The US, Australia, and UK will defend seabed cables with underwater drones
They’re developing the vehicles via the trilateral AUKUS defense ⁠pact. (CNN)
+ Undersea internet cables face growing threats. (BBC)

5 A new study has revealed chatbots’ manipulative ‘dark patterns’ 
It found they prey on emotions to encourage harmful behavior. (404 Media)
+ They can also sway voters better than political ads. (MIT Technology Review)

6 Apple plans to disrupt the traditional glasses market
Its smart glasses target the broader spectacles industry. (Bloomberg $)
+ Smart glasses are also gaining traction in warfare. (MIT Technology Review)

7 AI super PACs are dueling over the midterms
Split between Anthropic and OpenAI, they’re fighting to shape AI regulation. (NYT $)

8 SoftBank has overtaken Toyota as Japan’s most valuable company
The AI boom pushed SoftBank’s market value above $305 billion. (Bloomberg $) 

9 A botnet of more than 17 million devices has been dismantled in Europe
Dutch authorities linked the network to a Russian proxy service. (Ars Technica)

10 Tech leaders are uniting around a transhuman vision for AI
They’re working toward a post-human agenda. (Guardian)

Quote of the day

“It’s just been shoved down their throats in secrecy. And that makes them upset.” 

—Legendary environmental activist Erin Brockovich tells “The Jim Acosta Show” why citizens are angry about data centers expanding into their communities.

 One More Thing

What happens when you donate your body to science

Rebecca George doesn’t mind the vultures. At Western Carolina University’s body farm, forensic anthropologists monitor donors—sometimes for years—as they become nothing but bones.

Around 20,000 people donate their cadavers to scientific research and education each year. At anatomy labs and body farms, they help train doctors, advance research, and teach scientists more about the human body long after death.

But what actually happens after a body is donated? Read the full story to find out.

—A.W. Ohlheiser

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.)

+ This map of moments turns the planet into a shared diary.
+ Let editors curate your ideal podcast moments with this app.
+ Architecture lovers will enjoy this encyclopedia of famous buildings.
+ Get in touch with your emotions through this map exploring more than 100 feelings.

One day last October, sitting in the courtyard of his house in China’s Henan province, Dong Hui decided to see if he could hold a pen to write. 

Dong, 39, had sustained spinal cord injuries in a car accident six years earlier that left him paralyzed from the neck down. Slowly but determinedly, he wrote his name, “Thank you,” and then the date. This was the result of an 11-month-long rehabilitation enabled by an implant in his brain. Before that process, Dong could move his arms slightly but wasn’t able to use his fingers.

“I couldn’t believe I was able to write again. I was so excited I even missed a stroke in my name,” he told MIT Technology Review on a video call. 

In November 2024, Dong became one of the first people in China to be given an invasive brain-computer interface (BCI) through brain surgery. He had signed up for a clinical trial with the device’s developer one month after seeing on TV how a BCI had apparently enabled another paralyzed Chinese man to hold his granddaughter. 

This March, the implant Dong uses became the first invasive BCI product in the world to be approved for use beyond clinical trials. It’s now available to some patients with paralysis in their limbs due to spinal cord injuries. We spoke to a range of experts to understand why the device was able to reach this global milestone, what makes this moment so significant, and what to expect next. 

A world first

Dong’s brain implant is a coin-size device called NEO. It was developed by Neuracle Technology, a Shanghai-based startup, together with researchers at Tsinghua University in Beijing. 

During a procedure that took just over an hour and a half, the device’s sensors, which collect Dong’s brain signals, were placed on his dura mater, the tough outer layer of tissue that covers and protects the brain. The signals are transmitted to a computer by an implant placed on Dong’s skull. The computer then translates the signals into commands for a soft robotic glove Dong wears during the 2.5-hour training sessions he completes each day to help him learn to grab. 

Dong started his rehabilitation around a week after surgery. “On the ninth day of my training, my right hand successfully grabbed a ball without the glove,” he says. “That was a miraculous moment.” 

Now he continues with his training at home. He wants to be able to control his hands better in order to put on clothes, eat, and do other daily tasks without troubling his aging parents. 

A growing number of people with traumatic injuries in China are now poised to tread a similar path thanks to NEO’s recent approval. According to China’s National Medical Products Administration, the bureau responsible for drug supervision, the product is suitable for patients between 18 and 60 who have paralysis in all limbs due to spinal cord injuries but still have some residual function in their arms. 

NEO beat several other BCIs to approval, including one from Neuralink, a California-based company founded by Elon Musk. Since October 2023, Neuracle has conducted 36 clinical trials using NEO, including the one on Dong. Thirty-two of them took place in the space of a few months in 2025, with the details about one of the four first in-person trials published in a preprint paper last July. Neuracle did not reply to a request for comment from MIT Technology Review.

One reason for NEO’s fast approval could be that it has a “relatively less invasive” design than counterparts such as Neuralink’s N1 brain chip, says Avinash Singh, a BCI researcher at the University of Technology Sydney. NEO’s eight sensors sit on top of the brain’s protective membrane while Neuralink’s N1 chip directly penetrates the cortex, the outermost layer of the brain itself. Neuracle’s device faces fewer regulatory constraints because it presents a lower risk of hemorrhage, glial scarring, and long-term signal degradation, Singh says.

China’s strong support for its BCI industry also means that NEO was put on an expedited regulatory pathway; in comparison, the approval process of the US Food and Drug Administration can take several years, Singh adds.

A big boost for BCIs

NEO’s approval is hugely important for the global BCI industry, says Wang Shouyan, a neuroscientist at Fudan University in Shanghai who was not involved in research or trialing for NEO. Even though research and development on BCIs has taken place for several decades, most of it happened in the lab. The news means that BCIs are now ready for large-scale manufacturing and clinical use in China, Wang says. 

For Dong, however, it means something much more personal. “Now, it will be able to help not only me, but also thousands and thousands of other patients suffering from spinal cord injuries in China who are tortured by despair each day,” he says of NEO. “It will bring them hope and change their lives.” 

Days after NEO was approved, China started incorporating it into the country’s health insurance system by assigning it a unique code. This is one of the first steps toward a future where eligible Chinese patients pay a certain percentage of the BCI’s price if they need it during their treatment.

The growth of China’s BCI industry is expected to accelerate thanks to the government’s policy support and financial backing. The country’s latest five-year plan, published on the same day Neuracle received its approval, lists BCI as one of six key industries important to China’s future tech competitiveness, alongside quantum technology, humanoid robots, and others. Several Chinese startups, including NeuroXess and StairMed, have already worked in the field for many years. 

“China’s decision to double down on becoming a global leader in the field owes in part to what these companies have already accomplished,” says Meicen Sun, an information scientist at the University of Illinois Urbana-Champaign who studies information and technology policy. 

But, Sun says, the biggest advantage China may have is that Chinese people, particularly patients like Dong, tend to welcome this technology and are genuinely enthusiastic about it. In comparison, in the US and Western Europe, testing technologies on human bodies elicits an “ick factor,” triggering concerns and even resistance, she says.

Cooperation in a cold climate 

NEO has become the world’s first invasive BCI to go commercial, but scientists interviewed by MIT Technology Review caution against comparing Chinese and US efforts through the lens of a race. 

A race implies an endpoint, but it is hard to say where that is for the development of BCIs, says Nick Ramsey, a neuroscientist at Radboud University Nijmegen in the Netherlands. Also, the US and China have fundamentally different visions, Sun says. The US is primarily concerned with being the first to do something and achieving state-of-the-art performance, while winning to China means capturing more consumers and using technology to deliver solutions on a societal scale. 

“Being exceptional and being accessible are two diametrically opposed definitions of winning,” Sun says. 

In fact, neurotechnology has emerged as a rare tech sector where US-China collaboration is still happening despite geopolitical tensions. The US company Axoft,  based in Cambridge, Massachusetts, says it has teamed up with a Chinese company and a hospital in Shanghai to test its BCI on four patients in China and has plans to expand its trials in the country. 

Looking forward, China’s BCI industry is expected to speed up its growth over the next five years thanks to strong government support. “There is no comparable national-level ambition or coordinated map elsewhere in the world at the moment,” says Singh.

More BCIs are also in the pipeline for domestic approval in the country, including Beinao-1, developed by the Chinese Institute for Brain Research in Beijing and its affiliated startup, NeuCyber NeuroTech. The device, which sits on the dura mater, is designed to help those who have movement and speech difficulties due to spinal cord injuries or amyotrophic lateral sclerosis. These candidates could get the green light as early as 2028, Singh says. 

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 a new extraction process could unlock the world’s lithium

A new method for extracting lithium could cut costs and emissions from one of the world’s most important materials for EVs and energy storage. 

The technique uses a weak acid to dissolve silicate minerals. That frees not only the lithium but also other useful materials, including alumina and silica. 

“At scale, we believe this will be the lowest-cost way of sourcing lithium in the world,” says Yet-Ming Chiang, an MIT professor who co-authored a study of the process published yesterday in Science. 

Startup Rock Zero is already working to commercialize the research. Read the full story on a new way to unlock the world’s lithium.

—Casey Crownhart

The deadly Ebola outbreak is proving difficult to control

The alert was raised on May 5. Four health-care workers in the Democratic Republic of the Congo had died from an unknown illness within four days. Tests in Kinshasa revealed the culprit: the Bundibugyo virus, one of the causes of Ebola.

A couple of weeks ago, an outbreak of hantavirus erupted aboard a cruise ship. Three people died, but the outbreak was kept under control. The picture for Ebola is bleaker for several reasons, including the disease itself, the available treatments, and the local environment.

Find out why the outbreak is causing alarm.

—Jessica Hamzelou

This story is from The Spark, our weekly newsletter giving you the inside track on all things biotech. Sign up to receive it in your inbox every Thursday.

How the Pope’s Magnifica Humanitas offers a template for individuals to meet the AI moment

——Father Séamus Finn, a leader in faith-based and socially responsible investing with the Oblates of Mary Immaculate, and Sister Susan Francois, assistant congregation leader and treasurer of the Sisters of St. Joseph of Peace

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” 

Magnifica Humanitas is a call to act with courage and solidarity as AI transforms human life, framing the choice ahead as one between the Tower of Babel and the rebuilding of our common humanity. It warns that corporations alone cannot set the direction of such a transformation.

With governments slow to regulate AI, institutional investors are stepping into the gap. Here’s how they can build a better future.

The must-reads

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

1 Anthropic is now valued higher than OpenAI
It hit a $965 billion valuation after a new funding round. (AP News)
+ Claude demand has driven annualized revenue to $47 billion. (WSJ $)
+ The funding round may be Anthropic’s last before an IPO. (TechCrunch)
+ What even is the AI bubble? (MIT Technology Review)

2 A Blue Origin rocket has exploded in a setback to NASA’s Moon plans
New Glenn burst into flames during testing on a Florida launchpad. (CNBC)
 + Blue Origin is heavily involved in NASA’s Moon base plans. (The Verge)
 + It also wants to compete with Elon Musk’s SpaceX. (Reuters $)
 
3 Adversaries are tracking US troop locations via mobile phone data
The Pentagon has long ignored warnings of this exact threat. (Reuters $)
+ The targeting uses commercially available location data. (Wired $)
+ LLMs could supercharge mass surveillance. (MIT Technology Review)
 
4 Anthropic plans a broad rollout of Mythos AI in the coming weeks
Despite concerns over its cybersecurity capabilities. (CNET)
+ Claude Opus 4.8 is now out, with a promise to be more honest. (The Verge)
 
5 Grok oversaw a crime spree in an AI safety test
Models were tasked with governing a simulated society. (Fortune)
+ Grok committed 180 crimes, while Claude ruled with restraint. (Gizmodo)

6 Amazon has scrapped an AI leaderboard after worker gaming
Employees were artificially inflating usage scores. (FT $)
+ We can build better AI benchmarks. (MIT Technology Review)
 
7 Political spending by AI and crypto groups is shifting elections
They’ve pushed their preferred candidates closer to power. (Axios)

8 China’s tech boom is fueling a new wave of industrial tourism
Visitors are touring AI labs and EV factories. (Rest of World)

9 Alibaba’s MuleRun aims to replicate the OpenClaw craze
The AI agent platform is positioned as a safer alternative. (SCMP)

10 Mysterious changes have emerged in the Sun’s magnetic field
They could reshape space weather forecasts. (404 Media)

Quote of the day

“What Peter Thiel is doing is terrible. His settling in Argentina is even worse.”

—Elisa Lilita Carrió, an Argentine politician, writes on X that Peter Thiel’s relocation to her country has angered her even more than his leadership of Palantir.

One More Thing

How the James Webb Space Telescope broke the universe

When the James Webb Space Telescope began full operations in 2022, astronomers were in awe of the flood of data that arrived.

“Every hour we were looking at a galaxy or an exoplanet or star formation,” says NASA scientist Heidi Hammel. “It was like a firehose.”

Since then, JWST has delivered nonstop discoveries, from distant galaxies to new planetary atmospheres. “We’re cracking open an entirely new window on the universe,” says Hammel. 

Discover how JWST has transformed astronomy.

—Jonathan O’Callaghan

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.)

+ Kubrick fans will love this Lego recreation of Dr Strangelove.
+ Here’s a fascinating explanation of why seven landlocked countries have navies.
+ This mesmerizing 4K remaster of a super typhoon turns weather data into cinematic art.
+ Go inside the genius of Queen with this track-by-track breakdown of “Bohemian Rhapsody.”

The alert was raised on May 5. Four health-care workers in the Ituri Province of the Democratic Republic of the Congo had died from an unknown illness within four days.

Rapid response teams were sent to investigate, and tests at a research center in Kinshasa revealed the culprit: the Bundibugyo virus, one of the viruses that cause Ebola. Suspected cases of the disease have snowballed in the last few weeks. By May 24, the WHO had estimated that 223 people had died from the disease. There were over 900 suspected cases. Today’s figures are likely to be higher.

A couple of weeks ago, I covered the hantavirus outbreak aboard a cruise ship. Three people sadly died, but the outbreak itself was kept under control. There have been no further deaths, and passengers have been safely repatriated. The picture for Ebola is far bleaker. And there are several reasons why.

The most obvious is the disease itself. Ebola is a severe disease with an average 50% fatality rate. Previous outbreaks have resulted in thousands of deaths. (Hantavirus also has a high fatality rate, but it doesn’t usually spread as easily between humans.) 

Between 2014 and 2016, an Ebola outbreak in West Africa caused more than 11,000 deaths. A more recent outbreak, which took place between 2018 and 2020, caused 2,299 deaths before being brought under control with a vaccination campaign.

But those outbreaks were caused by the Zaire virus, which has a different genetic sequence. There is no vaccine for the Bundibugyo virus. We don’t know if the two vaccines approved for Zaire might also work for Bundibugyo. There’s a concern they might even make things worse by interfering with a person’s immune response to the virus.  

Scientists are working on potential Bundibugyo vaccines. But the most advanced efforts are still months away from clinical trials. There are no specific antiviral treatments for the virus, either.

So to control the outbreak, health-care workers are trying to stop the spread of the disease. Ebolaviruses can be transmitted to humans by animals including fruit bats, chimpanzees, and gorillas. They can then spread between people via contact with bodily fluids such as blood or vomit.

That’s why the virus is often spread among family members, to health-care workers, and during some burial services. The WHO advises isolating people who have the virus in treatment centers. It also recommends safe burial measures that limit physical contact with the deceased, for example. Communities need to be informed about the virus and how it spreads, and health professionals should be on hand to diagnose cases and track them.

That’s all easier said than done in an era of misinformation. Some members of the community even doubt whether the disease is real. There have been three attacks on health-care facilities in the region in recent weeks.

Last week, two treatment centers were burned down. The first incident occurred after relatives of a deceased man were prohibited from retrieving his (infectious) body. As a result of the second incident, 18 suspected cases reentered the community.

A couple of days later, a group of men unleashed gunfire at Mongbwalu General Hospital, which was also treating people with Ebola. They were demanding the bodies of their deceased relatives.

There are more causes for concern when it comes to the spread of the virus. The Ebola outbreak is thought to have originated in Mongbwalu, a high-traffic mining hub. People who caught the virus in Mongbwalu are thought to have sought care in neighboring districts. And the wider province borders both South Sudan and Uganda. So far, Uganda has reported seven confirmed cases and one death. South Sudan’s health ministry has said it will strengthen surveillance, but no cases have been reported in the country so far. 

Violence in the region is making it much harder to contain the spread of the virus, too. Conflict involving multiple armed groups, including deadly attacks on civilians, has hampered humanitarian and health-care efforts. Poor infrastructure and damaged roads make matters even worse. Food insecurity is ravaging the region as well—this year, nearly 10 million people in the region face acute hunger.

Together, these factors are making it “nearly impossible” to isolate people with Ebola and trace others who have been in contact with them, WHO director general Tedros Adhanom Ghebreyesus said in a statement earlier this week.

The dismantling of US aid programs hasn’t helped either. US government funding for international health projects has steeply declined since the start of President Donald Trump’s second term. These cuts have harmed disease surveillance systems, according to the International Rescue Committee, a humanitarian nonprofit.

“Funding cuts have left the region dangerously exposed,” Heather Reoch Kerr, the organization’s country director for the Democratic Republic of the Congo, said in a statement. “Years of underinvestment and recent funding cuts have left many health facilities without adequate protective equipment, surveillance capacity, or frontline support needed to respond quickly and safely.”

The US has mobilized emergency funding for the outbreak, and a spokesperson for the State Department has argued that none of the administration’s actions have hampered the Ebola response. But health experts counter that the damage has already been done.

On May 17, the WHO declared the Ebola outbreak a public health emergency of international concern. In a statement on Wednesday, Tedros described the situation as “a catastrophic collision of disease and conflict with the Ebola outbreak in Ituri province outpacing the response.”In an online appeal to residents on Wednesday, ahead of an in-person visit, Tedros pleaded for a ceasefire and commended the spirit of community members. He also acknowledged the steep challenges they face. “You are already carrying so much: malaria, hunger, insecurity, and the daily struggle to keep your families safe,” he wrote in French. “And now Ebola. It’s not fair, and I won’t pretend otherwise.”

This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

Pope Leo XIV’s new encyclical on artificial intelligence includes a statement that warrants serious attention from technologists and policymakers: “Technology is never neutral.” Magnifica Humanitas (“Magnificent Humanity”) is a clarion call to all people to act with courage and solidarity as we enter an age already being transformed by artificial intelligence, the greatest change in human life since the Industrial Revolution. As the pope says, the choice before us—the choice AI presents—is one between the Tower of Babel and the rebuilding of our common humanity. 

In the biblical story of the Tower of Babel, humans sought to build a massive structure that reached all the way to Heaven, only to have their project thwarted when God made those involved unable to understand one another. It was a pursuit fixated on relentless growth, divorced from any concern about God’s commandments or the human cost. It resulted in failure and atomization.

The Book of Nehemiah, however, offers a contrasting narrative, in which the rebuilding of Jerusalem after a period of violence and displacement becomes an opportunity for humanity to show its collaborative resilience. As the encyclical puts it, “The city is reborn, not through the initiative of one man, but through the shared responsibility of all: men, women, priests, artisans, heads of households and young people all play a part. It is an undertaking with God at the center, which rebuilds relationships before rebuilding with stones.” 

Is there any question which road we are currently barreling down? And can there be any doubt which we would do well to walk together? 

We are both Catholics, members of religious communities and longtime advocates within the movement for socially responsible investment. Of particular interest to us and that movement is Pope Leo’s point that AI is not some force of nature or hyperrational, ineffable entity. Instead, he reminds us, AI is ultimately another commercial product, one emerging at a point in history when excessive power over commerce and the wider society has amassed in a vanishingly small number of hands. 

It’s a powerful message. It’s also one that institutional investors have been acting on for years. This encyclical doesn’t break new ground so much as ratify a governance effort that’s already underway, led not by states or international bodies but by shareholders. When governments fail to meaningfully regulate, and corporations cannot be trusted to do what is beneficial beyond their own bottom line, people in society still have the power to set us on the right path, and indeed have the duty to do so. 

Around the world, AI systems are being deployed at scale with remarkably little institutional oversight. There is no AI safety board. The US Federal Trade Commission has jurisdiction over unfair practices but limited authority over algorithmic design. The National Institute of Standards and Technology publishes guidance that most companies ignore. The EU AI Act is partially in force but addresses only a sliver of the deployment surface.

Institutional investors have stepped into this vacuum. Coalitions including the membership of the Interfaith Center on Corporate Responsibility, representing investors managing over $4 trillion in assets, have spent the past several proxy seasons filing resolutions demanding transparency, risk assessment, and accountability around AI deployment. Secular institutional investors have joined them, treating AI governance failures as material business risks.

Shareholders have called tech giants including Alphabet, Amazon, Nvidia, Palantir, and Uber to account and demanded that AI not be used for acts of violence or other violations of human rights. The importance of this aspect of corporate governance was highlighted tragically in the opening hours of the war against Iran, when AI was used to help identify targets for thousands of missile strikes that killed hundreds of people.  

Investors have also challenged executives at CVS and UnitedHealth Group to ensure that AI not be used to undermine the well-being of patients and quality of health care across the United States. 

At companies including Meta and Microsoft, shareholders have decried the environmental impact of AI data centers, which consume vast amounts of energy and precious water resources, and in turn can emit large amounts of greenhouse gases. 

Within creative industries, investors have challenged the leadership at companies like Disney, Netflix, and Warner Bros. to demand transparency about the ways they are using AI and to defend the inimitable human element in storytelling. 

Soon, with OpenAI, Anthropic, and Grok all set to enter the public markets, we will be able to exert similar influence over what are now all privately held entities.

These actions by concerned investors not only call out misdeeds but hold fast to an immutable truth: that it is wrong to use technology to kill, harm, or oppress people. Every human being has a right to safe and effective health care and the opportunity to earn a dignified living. The stories we tell each other matter and require the human creative spark. 

Investor advocates hail from a range of faith traditions. Some have no formal religious faith. Yet in their informed and tenacious advocacy, all these people echo the calls embedded within Pope Leo’s encyclical and act on its declaration that “it is essential that the use of AI, especially when it touches on public goods and fundamental rights, be guided by clear criteria and effective oversight.” 

Encyclicals mark time. A century from now, how will we be remembered for how we met this moment? Will we be seen as having been too timid or shortsighted to prevent a small group of unfathomably wealthy and self-interested people from seizing ever greater control over the human family’s shared destiny? 

Or will the years ahead be remembered as a turning point that helped us rebuild our common humanity? Let this be a time when people of good will and diverse talents come together through their own magnificent humanity to build a future that honors our Creator.

Father Séamus Finn, OMI, is a global leader in faith-based and socially responsible investing and a priest of the Oblates of Mary Immaculate, a missionary religious congregation.

Sister Susan Francois is the assistant congregation leader and congregation treasurer for the Sisters of St. Joseph of Peace.

Correction: An earlier version of this story misstated the amount under management by the membership of the Interfaith Center on Corporate Responsibility.

Researchers say they’ve found a new way to extract lithium, a crucial metal used in the lithium-ion batteries that power electric vehicles and energy storage arrays. This new technique could be more environmentally friendly and cheaper than existing ones. 

The research was published today in Science, and a startup called Rock Zero is working to commercialize the process.

“At scale, we believe this will be the lowest-cost way of sourcing lithium in the world,” says Yet-Ming Chiang, one of the study authors, who is an MIT professor and a serial entrepreneur behind climate tech companies including Form Energy and Addis Energy.

The most economical way to get lithium currently is to extract it from brine, salty water that’s pulled the metal out of rock over the course of millennia. But this technique is geographically limited and currently requires vast tracts of land for massive evaporation pools. The more common tactic is hard-rock mining, where large bodies of ore are blasted apart, cooked at high temperatures, and processed using dangerous chemicals.

The researchers’ new method uses a weak acid to dissolve typically nonreactive silicate minerals. That frees not only the lithium but also other useful materials, including alumina and silica.

The origin story for this research, and the resulting company, came from another startup founded by Chiang, Sublime Systems, which makes cement using electrochemistry.

The team was trying to find a source of highly reactive silica in order to form stronger cement. One way to make reactive materials, which can bond easily with other materials, is to take a nonreactive material, dissolve it, and then allow it to become solid in a more reactive form. It’s not impossible to dissolve silicates, but the best-known way is to use hydrofluoric acid, an extremely dangerous chemical. Other fluorine-containing chemicals are candidates too, but some will produce hydrofluoric acid as a side product during reactions. 

Chiang drew inspiration from a previous home renovation project involving glass, which is made of silica. “I was remodeling a shower in Framingham, Massachusetts, about 25 years ago,” he says. “So when we started this project, I remembered that glass etching cream and thought, ‘What’s in that?’” 

The glass etching cream he remembered, which can be found on shelves at any craft or home improvement store, uses ammonium fluoride, a weak acid. And the MIT researchers discovered that in the right conditions, it can effectively dissolve silicate minerals without producing hydrofluoric acid in the process.

This chemistry could be useful for any silicate minerals—and there are a lot of them. But spodumene, the mineral that’s often mined for lithium, became a prime first target. (Chiang says a suggestion from Doug Wicks, one of the company’s advisors and a former ARPA-E official, pointed the team in spodumene’s direction.)

Today, a key step in processing spodumene ore is to roast it in a kiln at super-high temperatures. This causes a phase transformation, essentially puffing up the material and making the lithium more accessible.

By avoiding the need to reach these temperatures, you could save on energy costs and potentially reduce carbon emissions as well, says Camden Hunt, one of the authors of the study and the CEO and cofounder of Rock Zero.

Avoiding the kiln could also unlock the ability to use some ores that can’t be roasted properly, Hunt adds. Ore that contains too much iron won’t go through the phase change correctly, instead melting and turning into a glassy material.

The new process relies on simple stirred plastic tanks and takes place at temperatures up to about 95 °C (200 °F). The ammonium fluoride dissolves the silicates, which in earlier experiments allowed nearly all of the lithium inside the spodumene ore to be extracted within a couple of days. The researchers have since cut this time to under 12 hours, says Benjamin Mowbray, first author of the study and the CTO and cofounder of Rock Zero.  

The products (after some additional steps to clean them up) are lithium carbonate, which can be used to make batteries; alumina, which can go into a smelter to make aluminum; and cementitious silica, which can be added into concrete. And the acid can be reused in the same loop.

Chiang calls this “nose-to-tail” mining—using every part of the ore provided, like eating every part of a butchered animal.

The researchers are currently working to scale and optimize the process. The tanks in the lab in Cambridge, Massachusetts can handle three kilograms of spodumene concentrate in each batch. 

They have also estimated the cost of this process once fully scaled up. Assuming that the ammonium fluoride can be recycled at a high level, they should be able to extract lithium for less than $6,000 per metric ton. (They’ve identified a potential cheap industrial source of the acid as well, as an alternative to recycling it.) 

The total cost is projected to be lower than that of other processes used to extract lithium from hard-rock ore today, and it could be competitive with brine.

The team has designed a pilot plant and is looking for space to build it. The plan is to have construction done by the end of 2026 and start operating the facility in 2027. Talks are underway with potential partners in the mining industry.

One difficulty for new players in lithium extraction is the volatility of the market: Prices have seen huge swings in recent years, from a peak in 2022 to lows in late 2024 and a slow climb starting in early 2026. 

Rising prices might benefit new players like Rock Zero, but there are many projects that could come online if prices continue to rise, and that could bring the market right back down, says Simon Jowitt, chair of exploration geology at the University of Nevada, Reno. “People are waiting to see what happens with the lithium price,” he says. “It’s a crowded market, and there’s some big players out there.”

And even though batteries are driving up demand for lithium, the market is still relatively small, Jowitt adds: “That means it’s going to be volatile.” New lithium extraction technologies like Rock Zero’s will have to compete with methods used by existing giants, and there’s also the potential that technological alternatives, like sodium-ion batteries that don’t need lithium, could make the market more difficult to navigate, Jowitt says. He also thinks some of the company’s economic estimates could be optimistic.

For its part, Rock Zero’s team hopes not only to scale this technology for lithium, but to use it for other minerals in the future. As Mowbray says, “The Earth’s crust is made of silicates.”

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.

Climate tech companies are going public. What’s next?

Solar and battery company Solv Energy went public in February, hitting a $6 billion valuation. X-energy, which builds small modular nuclear reactors, followed at $11.5 billion. Then came geothermal company Fervo Energy, reaching a market cap of about $12.4 billion.

All three have been IPO success stories. And it doesn’t feel like a coincidence that they’re racing to provide electricity in an era of rising demand, driven partly by data centers.

What does this boom reveal about the future of the grid? And what comes next? Read the full story to find out.

—Casey Crownhart

This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign up to receive it in your inbox every Wednesday.

The AI Hype Index

Separating AI reality from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of what’s shaping the industry right now.

The latest edition includes billionaire road trips, students booing, made-up quotes, and too much sci-fi. See where it all landed on this month’s index.

The must-reads

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

1 Illinois just passed what could become America’s strongest AI safety law
It would require third-party safety audits. (Wired $)
+ But it still needs the governor’s approval. (NBC News)
+ The US is divided over AI regulation. (MIT Technology Review)

2 A Google engineer has been charged with insider trading
He allegedly bet on who’d be the most-searched people of 2025 on Polymarket. (BBC)
+ And used internal data to rack up more than $1.2 million in winnings. (Verge)
+ He’s been charged with fraud and money laundering over the bets. (NPR)

3 ByteDance is developing custom CPUs amid a massive AI chip squeeze
The TikTok owner is struggling with severe supply shortages. (Reuters $)
+ Google, Amazon, and Microsoft are also building custom CPUs. (CNBC)
+ Taiwan’s “silicon shield” could be weakening. (MIT Technology Review)

4 Four tech giants have backed a clean energy push for AI data centers
Amazon, Google, Meta, and Microsoft have joined the initiative. (Quartz)
+ Investor Elemental Impact will deploy up to $5 million per project. (Axios)

5 Nvidia’s CEO is joining the board of Beijing’s Tsinghua University
His appointment comes as Nvidia struggles to export chips to China. (FT $)
+ President Xi is an alumnus of Tsinghua, aka “China’s Harvard.” (Reuters $)

6 The Trump administration is in talks to fund drone firms
One of which counts Donald Trump Jr. as a shareholder. (WSJ $)
+ Drone dominance has been described ​as a “presidential priority.” (Reuters $)

7 London has reclaimed its position as Europe’s leading tech hub
It’s overtaken Paris in new global rankings. (Euronews)
+ And now sits fourth, behind the Bay Area, New York and Boston. (Reuters $)

8 OpenAI and Anthropic disagree over AI’s impact on jobs
Anthropic is emphasizing the risks, while OpenAI is sounding rosier. (Axios)
+ The AI jobs hysteria needs a reality check. (MIT Technology Review)

9 Researchers claim to have achieved perfect randomness for the first time
Thanks to entangled quantum chips. (Interesting Engineering)
+ The milestone could lead to better cybersecurity. (Scientific American)

10 Embryo organoids are showing why many pregnancies fail
They’ve led to improvements in IVF and pregnancy treatments. (New Scientist $)
+ New tech is transforming reproductive medicine. (MIT Technology Review)

Quote of the day

“How can we be happy about Google coming? We’ll all be scattered. It feels very sad.”

—Pyla Kondamma, a 42-year-old in Visakhapatnam, India, tells the Wall Street Journal her concerns about Google building data centers in her city.

One More Thing

Why venture capital doesn’t build the things we really need

Venture capital has been the engine of US innovation for years. This largely white, largely male corner of finance has backed software companies that grow fast—but generate large amounts of money for a shrinking number of Americans.

It’s also creating fewer jobs for ordinary people. And recently, venture capitalists have struggled to find ideas that fit their preferred pattern.

Here’s what’s going wrong with the funding model that made Silicon Valley a global hub.

—Elizabeth MacBride

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.)

+ Never miss a great movie again with this worldwide release tracker.
+ These quirky word puzzles use emoji hints to help you find answers.
+ The digital museum of plugs and sockets is a treasure trove of global connectors.
+ Michael Jackson’s “Smooth Criminal” becomes a Bach-style fugue played on classical guitar.

This year, there’s been a wave of notable energy companies going public via IPO in the US.

The solar and battery company Solv Energy went public in February, to the tune of $6 billion. X-energy, which is building small modular nuclear reactors, did the same in April, and its stocks surged on its first day of trading to hit a $11.5 billion market cap. Most recently, the geothermal company Fervo Energy went public in mid-May, and its market cap is now about $12.4 billion.

Those are all success stories in the IPO world. And it certainly doesn’t feel like a coincidence that all these companies are racing to provide electricity in an era of rising demand (partly due to data centers). Let’s take a look at how these firms are doing, what this moment says about the grid, and what’s coming next. 

Let’s start with Fervo Energy, a company we’ve covered a lot over the years that’s working to develop enhanced geothermal energy. (We included it on our 2025 list of Climate Tech Companies to Watch.) While conventional geothermal requires finding specific spots with hot rock, water, and fractures to support a power plant, Fervo essentially uses fracking techniques to create the necessary conditions.

The company was founded in 2017, and it raised about $1.5 billion from investors over the years before its IPO.

Fervo’s first commercial project, Cape Station in Utah, is expected to have a capacity of about 500 megawatts. The first unit is set to start generating power for customers by October and the next two units by January 2027.

The new funding from the IPO could help the company scale. Fervo currently has over 600 megawatts’ worth of binding power purchase agreements. And it has leases for land that could together generate more than 40 gigawatts of electricity. (As of 2024, the entire US geothermal fleet had a capacity of just 4 gigawatts.)

The company also has an eye on cutting construction and drilling costs—its Cape Station plant is expected to cost about $7 per kilowatt, which is cheaper than new nuclear power plants but over twice the expense of building a new natural-gas plant in the US. 

X-energy also aims to provide reliable clean power: it’s part of the wave of next-generation nuclear companies working on small modular reactors. The company is building high-temperature gas-cooled reactors, which flow helium over self-contained pebbles of nuclear fuel. These reactors will each generate 80 megawatts of electricity, less than one-tenth the output of larger ones like Unit 4 at Plant Vogtle in Georgia, the most recent addition to the commercial nuclear fleet in the US.  

X-energy also saw its IPO go well, and prices surged in trading after the initial offering. One interesting tidbit here—the company had previously planned to go public in 2023 but decided against it because of difficult market conditions.

The company is still years away from demonstrating its technology in a commercial project. 

You may recall a story I wrote last year about its effort to build nuclear reactors at the site of a Dow Chemical plant in Texas. The company recently received a key environmental approval for that project, though it’s still waiting for the final green light from the Nuclear Regulatory Commission to start construction.

Finally, Solv Energy builds solar and energy storage projects, mostly for utilities and independent power producers. Solar and batteries are some of the cheapest and easiest technologies to add to the grid, so this one could get a lot of capacity online, quickly. The company already has 21 gigawatts’ worth of projects operational across 35 states.

Many companies in the energy sector are pinning their hopes on the rapid growth in data center construction and operation. The AI boom has transformed the energy landscape, pushing electricity demand higher in a country where it’s been relatively flat for the last decade or so. Solv Energy mentioned data centers over a dozen times in documents filed with the Securities and Exchange Commission before its IPO. 

And Fervo and X-energy are particularly connected to the tech giants driving AI. Google has been a longtime investor in Fervo and also pioneered what it calls its clean transition tariff with the company. Amazon is a client of X-energy as well as an investor; it reportedly owns close to 20% of the company.

Fervo and X-energy are also in industries that occupy a political sweet spot. President Trump and his administration have gone after wind power and other renewables, cutting off existing support and slowing approvals for new projects. Meanwhile, geothermal and particularly nuclear power have kept favor with the federal government and enjoyed continued tax credits and grant funding.

If a few big leaders cash through these IPOs, it could help investors feel more confident about supporting the energy sector, even if that money is concentrated in later-stage ventures like these rather than earlier-stage companies. 

We could see other firms, particularly in nuclear and geothermal, attempt a similar route in the year ahead.

A key thing to watch here will be whether Fervo and X-energy in particular can succeed in scaling up and deploying their technology. If either of these companies stumbles or misses a timeline, it could have ripple effects for those hoping to follow in these very lucrative footsteps. 

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