The Download: carbon removal’s future, and measuring pain using an app

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.

What’s next for carbon removal?

After years of growth that spawned hundreds of startups, the nascent carbon removal sector appears to be facing a reckoning.

Running Tide, a promising aquaculture company, shut down its operations last summer, and a handful of other companies have shuttered, downsized, or pivoted in recent months as well. Venture investments have flagged. And the collective industry hasn’t made a whole lot more progress toward Running Tide’s ambitious plans to sequester a billion tons of carbon dioxide by this year.

The hype phase is over and the sector is sliding into the turbulent business trough that follows, experts warn. 

And the open question is: If the carbon removal sector is heading into a painful if inevitable clearing-out cycle, where will it go from there? Read the full story.

—James Temple

This story is part of MIT Technology Review’s What’s Next series, which looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here.

An AI app to measure pain is here

This week I’ve also been wondering how science and technology can help answer that question—especially when it comes to pain. 

In the latest issue of MIT Technology Review’s print magazine, Deena Mousa describes how an AI-powered smartphone app is being used to assess how much pain a person is in.

The app, and other tools like it, could help doctors and caregivers. They could be especially useful in the care of people who aren’t able to tell others how they are feeling.

But they are far from perfect. And they open up all kinds of thorny questions about how we experience, communicate, and even treat pain. Read the full story.

—Jessica Hamzelou

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.

The must-reads

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

1 Meta’s lawyers advised workers to remove parts of its teen mental health research
Its counsel told researchers to block or update their work to reduce legal liability. (Bloomberg $)
+ Meta recently laid off more than 100 staff tasked with monitoring risks to user privacy. (NYT $) 

2 Donald Trump has pardoned the convicted Binance founder
Changpeng Zhao pleaded guilty to violating US money laundering laws in 2023. (WSJ $)
+ The move is likely to enable Binance to resume operating in the US. (CNN)
+ Trump has vowed to be more crypto-friendly than the Biden administration. (Axios)

3 Anthropic and Google Cloud have signed a major chips deal
The agreement is worth tens of billions of dollars. (FT $)

4 Microsoft doesn’t want you to talk dirty to its AI
It’ll leave that kind of thing to OpenAI, thank you very much. (CNBC)
+ Copilot now has its own version of Clippy—just don’t try to get erotic with it. (The Verge)
+ It’s pretty easy to get DeepSeek to talk dirty, however. (MIT Technology Review)

5 Big Tech is footing the bill for Trump’s White House ballroom
Stand up Amazon, Apple, Google, Meta, and Microsoft. (TechCrunch)
+ Crypto twins Tyler and Cameron Winklevoss are also among the donors. (CNN)

6 US investigators have busted a series of high-tech gambling schemes
Involving specially-designed contact lenses and x-ray tables. (NYT $)
+ The case follows insider bets on basketball and poker games rigged by the mafia. (BBC)
+ Automatic card shufflers can be compromised, too. (Wired $)

7 Deepfake harassment tools are easily accessible on social media
And simple web searches. (404 Media)
+ Bans on deepfakes take us only so far—here’s what we really need. (MIT Technology Review)

8 How algorithms can drive up prices online
Even benign algorithms can sometimes yield bad outcomes for buyers. (Quanta Magazine)
+ When AIs bargain, a less advanced agent could cost you. (MIT Technology Review)

9 How to give an LLM brain rot
Train it on short “superficial” posts from X, for a start. (Ars Technica)
+ AI trained on AI garbage spits out AI garbage. (MIT Technology Review)

10 Meet the tech workers using AI as little as possible
In a bid to keep their skills sharp. (WP $)
+ This professor thinks there are other ways to teach people how to learn. (The Atlantic $)

Quote of the day

“He was convicted. He’s not innocent.”

—Republican Senator Thom Tillis criticises Donald Trump’s decision to pardon convicted cryptocurrency mogul Changpeng Zhao, Politico reports.

One more thing

We’ve never understood how hunger works. That might be about to change.

When you’re starving, hunger is like a demon. It awakens the most ancient and primitive parts of the brain, then commandeers other neural machinery to do its bidding until it gets what it wants.

Although scientists have had some success in stimulating hunger in mice, we still don’t really understand how the impulse to eat works. Now, some experts are following known parts of the neural hunger circuits into uncharted parts of the brain to try and find out.

Their work could shed new light on the factors that have caused the number of overweight adults worldwide to skyrocket in recent years. And it could also help solve the mysteries around how and why a new class of weight-loss drugs seems to work so well. Read the full story.

—Adam Piore

We can still have nice things

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

+  Middle aged men are getting into cliff-jumping. Should you?
+ Pumpkin spice chocolate chip cookies sounds like a great idea to me.
+ Christmas Island’s crabs are on the move! 🦀
+ Watch out if you’re taking the NY subway today: you might bump into these terrifying witches.

E-Bike Founder’s Path to Purpose

By late 2023 Aaron Powell had become disillusioned with Bunch Bikes, the electric cargo bicycle company he founded in 2017. Costs were rising, cash was scarce, and the supply chain was chaotic.

He contemplated chucking it all, selling the business, and moving his family to Europe from his base in Texas.

Then he reconsidered. Bunch Bikes had many positives, including a sense of purpose and meaning from improving customers’ lives. So he stayed.

Aaron first appeared on the podcast two years ago. In this latest conversation, he addressed business uncertainty, resilience, family, and more. Our entire audio is embedded below. The transcript is condensed and edited for clarity.

Eric Bandholz: Who are you, and what do you do?

Aaron Powell: I’m the founder and CEO of Bunch Bikes, an electric family cargo bike company based in Texas. Think of it as the minivan of bikes. It carries pets, groceries, and up to six kids, all with electric assistance and a fun, smooth ride.

I first saw the concept in Copenhagen in 2012. Cargo bikes are hugely popular in Denmark, Sweden, and the Netherlands, where cycling is central to daily life.

Here in the U.S., far fewer people use bikes for everyday transport, but the potential market is enormous given the population. Awareness of cargo bikes remains low, even within the industry.

Running a bike company over the past few years has been intense with the pandemic and supply chain chaos. By late 2023, my wife and I were reevaluating our lives. We wondered if we’d be happier living elsewhere and began planning a move to the Netherlands. We spent months exploring cities, hiring an immigration lawyer, and figuring out logistics.

During the process, we realized that moving would mean leaving behind friends, family, and community. Our network here in Texas is meaningful. Starting over in a new country, always feeling culturally out of place, didn’t feel worth it.

We decided to stay and focus on making the most of our current life.

Bandholz: You alluded to the business challenges. Did you consider selling the company?

Powell: Yes. I nearly sold it when contemplating the move. We went through the steps of finding a buyer, completing due diligence, and planning the close. I was motivated by fear of uncertainty and market changes.

But the process made me see the positives. We were acquiring customers without running ads, referrals were strong, and our brand equity was driving sales. My team is rock solid — competent, trustworthy, and experienced. I can step away, and the business runs smoothly. That made me question why I’d sell something so well-established.

I’ve found that true value comes from building something meaningful that impacts others. Starting over from scratch doesn’t excite me. Appreciating what we have now has made me excited to tackle new challenges. Demand for our products remains strong. People still want bikes, so why not trust that there’s a path forward and focus on what we already built?

Bandholz: Was your team aware you were considering selling the business?

Powell: No, they weren’t. I didn’t want to spook anyone; employees naturally worry about job security. During the process, it was important to keep operations steady and minimize disruption. I’m usually transparent, but not in this case. Afterward, I debriefed them, revealing that I almost sold, but didn’t, and why.

Their response was impressive. They stepped up, took on responsibilities I usually handle, and kept the business functioning without issues. It made me appreciate their capabilities and commitment even more.

In hindsight, I could have shared some of this context sooner, but the debrief built deeper trust.

Bandholz: How do you balance business risk with the ability to adapt?

Powell: I thrive when I’m constrained. Clear, specific problems trigger my creativity. Open-ended situations, where anything is possible, are more challenging for me.

For example, when tariffs increased recently, I became an idea machine, exploring every solution. I didn’t panic. That mindset helps me focus on actionable steps rather than fear.

Looking ahead, I anticipate sales slowing or retail prices becoming unsustainable. I’m tackling it by reducing debt and increasing cash. One approach is to tap our loyal customers through a Wefunder equity raise. I’d rather give up some ownership now to secure financial flexibility.

Having cash on hand gives me time to solve problems. Plus, it’s extra capital to grow the business. The key is to act proactively, turning uncertainty into a problem-solving opportunity rather than letting fear freeze you.

My first ecommerce business was selling kids’ jewelry on Amazon. I realized making money alone wasn’t fulfilling. I wanted purpose and meaning. I was working minimal hours, but it didn’t feel impactful.

When I started Bunch Bikes, I intentionally built something more complicated, capital-intensive, and slow to scale — but deeply meaningful. Improving our customers’ lives makes all the effort worth it.

Bandholz: Where can people follow you, buy the minivan of bikes?

Powell: Our site is Bunchbike.com. I’m on X and LinkedIn.

Perplexity Responds To Reddit Lawsuit Over Data Access via @sejournal, @MattGSouthern

Reddit sued Perplexity and three data-scraping firms in New York federal court, alleging the companies bypassed access controls to obtain Reddit content at scale, including by scraping Google search results.

Perplexity posted a public response, saying it summarizes Reddit discussions with citations and doesn’t train AI models on Reddit content.

The position is consistent with the company’s past statements. Whether it addresses the specific allegations in Reddit’s filing remains an open question.

The complaint names Oxylabs UAB, AWMProxy, and SerpApi as intermediaries. It alleges Perplexity is a SerpApi customer and purchased and/or utilized SerpApi services to circumvent controls and copy Reddit data.

Evidence In The Complaint

Perplexity’s argument is built around a technical distinction. The company says it summarizes and cites discussions rather than training models on Reddit posts.

Perplexity wrote in its Reddit response:

“We summarize Reddit discussions, and we cite Reddit threads in answers, just like people share links to posts here all the time.”

The complaint, however, presents technical claims that call that framework into question.

According to the filing, Reddit created a test post that was only crawlable by Google’s search engine and not accessible anywhere else on the internet. Within hours, that hidden content appeared in Perplexity’s results.

The filing also says that after Reddit sent a cease-and-desist letter, Perplexity’s citations to Reddit increased roughly forty-fold.

Similar Accusations From Publishers

Forbes previously accused Perplexity of republishing an exclusive and threatened legal action.

Wired reported that Perplexity used undisclosed IPs and spoofed user-agent strings to bypass robots.txt. Wired’s

Cloudflare later said Perplexity used “stealth, undeclared crawlers” that ignored no-crawl directives, based on tests it ran in August.

How Perplexity Has Responded

In previous disputes, Perplexity said issues stemmed from rough edges on new products and promised clearer attribution.

The company has also argued that some media organizations are trying to control “publicly reported facts.”

In this latest response, Perplexity frames Reddit’s lawsuit as leverage in broader training-data negotiations and writes:

“We summarize Reddit discussions… We won’t be extorted, and we won’t help Reddit extort Google.”

Why This Matters

This issue matters because it concerns how AI assistants use forum content that your audiences read and that publishers frequently cite.

The legal questions go beyond just training.

Courts may examine if technical controls have been bypassed, whether summarization infringes on protected expressions, and if using third-party scrapers could lead to legal liability for downstream products.

If courts accept Reddit’s anti-circumvention argument, it could lead to changes in how assistants cite or link Reddit threads.

On the other hand, if courts agree with Perplexity’s viewpoint, assistants might start relying more on forum discussions that are less restricted by licensing.

What We Don’t Know Yet

The filing alleges Perplexity obtained data via at least one scraping firm, but the public complaint doesn’t specify which vendor supplied which data or include transaction details.

This startup is about to conduct the biggest real-world test of aluminum as a zero-carbon fuel

The crushed-up soda can disappears in a cloud of steam and—though it’s not visible—hydrogen gas. “I can just keep this reaction going by adding more water,” says Peter Godart, squirting some into the steaming beaker. “This is room-temperature water, and it’s immediately boiling. Doing this on your stove would be slower than this.” 

Godart is the founder and CEO of Found Energy, a startup in Boston that aims to harness the energy in scraps of aluminum metal to power industrial processes without fossil fuels. Since 2022, the company has worked to develop ways to rapidly release energy from aluminum on a small scale. Now it’s just switched on a much larger version of its aluminum-powered engine, which Godart claims is the largest aluminum-water reactor ever built. 

Early next year, it will be installed to supply heat and hydrogen to a tool manufacturing facility in the southeastern US, using the aluminum waste produced by the plant itself as fuel. (The manufacturer did not want to be named until the project is formally announced.)

If everything works as planned, this technology, which uses a catalyst to unlock the energy stored within aluminum metal, could transform a growing share of aluminum scrap into a zero-carbon fuel. The high heat generated by the engine could be especially valuable to reduce the substantial greenhouse-gas emissions generated by industrial processes, like cement production and metal refining, that are difficult to power with electricity directly.

“We invented the fuel, which is a blessing and a curse,” says Godart, surrounded by the pipes and wires of the experimental reactor. “It’s a huge opportunity for us, but it also means we do have to develop all of the systems around us. We’re redefining what even is an engine.”

Engineers have long eyed using aluminum as a fuel thanks to its superior energy density. Once it has been refined and smelted from ore, aluminum metal contains more than twice as much energy as diesel fuel by volume and almost eight times as much as hydrogen gas. When it reacts with oxygen in water or air, it forms aluminum oxides. This reaction releases heat and hydrogen gas, which can be tapped for zero-carbon power.

Liquid metal

The trouble with aluminum as a fuel—and the reason your soda can doesn’t spontaneously combust—is that as soon as the metal starts to react, an oxidized layer forms across its surface that prevents the rest of it from reacting. It’s like a fire that puts itself out as it generates ash. “People have tried it and abandoned this idea many, many times,” says Godart.

Some believe using aluminum as a fuel remains a fool’s errand. “This potential use of aluminum crops up every few years and has no possibility of success even if aluminum scrap is used as the fuel source,” says Geoff Scamans, a metallurgist at Brunel University of London who spent a decade working on using aluminum to power vehicles in the 1980s. He says the aluminum-water reaction isn’t efficient enough for the metal to make sense as a fuel given how much energy it takes to refine and smelt aluminum from ore to begin with: “A crazy idea is always a crazy idea.”

But Godart believes he and his company have found a way to make it work. “The real breakthrough was thinking about catalysis in a different way,” he says: Instead of trying to speed up the reaction by bringing water and aluminum together onto a catalyst, they “flipped it around” and “found a material that we could actually dissolve into the aluminum.”

Petert Godart holding up two glass jars; one with metal spheres and the other with flat metal shapes

JAMES DINNEEN

The liquid metal catalyst at the heart of the company’s approach “permeates the microstructure” of the aluminum, says Godart. As the aluminum reacts with water, the catalyst forces the metal to froth and split open, exposing more unreacted aluminum to the water. 

The composition of the catalyst is proprietary, but Godart says it is a “low-melting-point liquid metal that’s not mercury.” His dissertation research focused on using a liquid mixture of gallium and indium as the catalyst, and he says the principle behind the current material is the same.

During a visit in early October, Godart demonstrated the central reaction in the Found R&D lab, which after the company’s $12 million seed round last year now fills the better part of two floors of an industrial building in Boston’s Charlestown neighborhood. Using a pair of tongs to avoid starting the reaction with the moisture on his fingers, he placed a pellet of aluminum treated with the secret catalyst in a beaker and then added water. Immediately, the metal began to bubble with hydrogen. Then the water steamed away, leaving behind a frothing gray mass of aluminum hydroxide.

“One of the impediments to this technology taking off is that [the aluminum-water reaction] was just too sluggish,” says Godart. “But you can see here we’re making steam. We just made a boiler.”

From Europa to Earth

Godart was a scientist at NASA when he first started thinking about fresh ways to unlock the energy stored in aluminum. He was working on building aluminum robots that could consume themselves for fuel when roving on Jupiter’s icy moon Europa. But that work was cut short when Congress reduced funding for the mission.

“I was sort of having this little mini crisis where I was like, I need to do something about climate change, about Earth problems,” says Godart. “And I was like, you know—I bet this aluminum technology would be even better for Earth applications.” After completing a dissertation on aluminum fuels at MIT, he started Found Energy in his house in Cambridge in 2022 (the next year, he earned a place on MIT Technology Review’s annual 35 Innovators under 35 list).

Until this year, the company was working at a tiny scale, tweaking the catalyst and testing different conditions within a small 10-kilowatt reactor to make the reaction release more heat and hydrogen more quickly. Then, in January, it began designing an engine that’s 10 times larger, big enough to supply a useful amount of power for industrial processes beyond the lab.

This larger engine took up most of the lab on the second floor. The reactor vessel resembled a water boiler turned on its side, with piping and wires connected to monitoring equipment that took up almost as much space as the engine itself. On one end, there was a pipe to inject water and a piston to deliver pellets of aluminum fuel into the reactor at variable rates. On the other end, outflow pipes carried away the reaction products: steam, hydrogen gas, aluminum hydroxide, and the recovered catalyst. Godart says none of the catalyst is lost in the reaction, so it can be used again to make more fuel.

The company first switched on the engine to begin testing in July. In September, it managed to power it up to its targeted power of 100 kilowatts—roughly as much as can be supplied by the diesel engine in a small pickup truck. In early 2026, it plans to install the 100-kilowatt engine to supply heat and hydrogen to the tool manufacturing facility. This pilot project is meant to serve as the proof of concept needed to raise the money for a 1-megawatt reactor, 10 times larger again.

The initial pilot will use the engine to supply hot steam and hydrogen. But the energy released in the reactor could be put to use in a variety of ways across a range of temperatures, according to Godart. The hot steam could spin a turbine to produce electricity, or the hydrogen could produce electricity in a fuel cell. By burning the hydrogen within the steam, the engine can produce superheated steam as hot as 1,300 °C, which could be used to generate electricity more efficiently or refine chemicals. Burning the hydrogen alone could generate temperatures of 2,400 °C, hot enough to make steel.

Picking up scrap

Godart says he and his colleagues hope the engine will eventually power many different industrial processes, but the initial target is the aluminum refining and recycling industry itself, as it already handles scrap metal and aluminum oxide supply chains. “Aluminum recyclers are coming to us, asking us to take their aluminum waste that’s difficult to recycle and then turn that into clean heat that they can use to re-melt other aluminum,” he says. “They are begging us to implement this for them.”

Citing nondisclosure agreements, he wouldn’t name any of the companies offering up their unrecyclable aluminum, which he says is something of a “dirty secret” for an industry that’s supposed to be recycling all it collects. But estimates from the International Aluminium Institute, an industry group, suggest that globally a little over 3 million metric tons of aluminum collected for recycling currently goes unrecycled each year; another 9 million metric tons isn’t collected for recycling at all or is incinerated with other waste. Together, that’s a little under a third of the estimated 43 million metric tons of aluminum scrap that currently gets recycled each year.

Even if all that unused scrap was recovered for fuel, it would still supply only a fraction of the overall industrial demand for heat, let alone the overall industrial demand for energy. But the plan isn’t to be limited by available scrap. Eventually, Godart says, the hope is to “recharge” the aluminum hydroxide that comes out of the reactor by using clean electricity to convert it back into aluminum metal and react it again. According to the company’s estimates, this “closed loop” approach could supply all global demand for industrial heat by using and reusing a total of around 300 million metric tons of aluminum—around 4% of Earth’s abundant aluminum reserves. 

However, all that recharging would require a lot of energy. “If you’re doing that, [aluminum fuel] is an energy storage technology, not so much an energy providing technology,” says Jeffrey Rissman, who studies industrial decarbonization at Energy Innovation, a think tank in California. As with other forms of energy storage like thermal batteries or green hydrogen, he says, that could still make sense if the fuel can be recharged using low-cost, clean electricity. But that will be increasingly hard to come by amid the scramble for clean power for everything from AI data centers to heat pumps.

Despite these obstacles, Godart is confident his company will find a way to make it work. The existing engine may already be able to squeeze out more power from aluminum than anticipated. “We actually believe this can probably do half a megawatt,” he says. “We haven’t fully throttled it.”

James Dinneen is a science and environmental journalist based in New York City. 

What a massive thermal battery means for energy storage

Rondo Energy just turned on what it says is the world’s largest thermal battery, an energy storage system that can take in electricity and provide a consistent source of heat.

The company announced last week that its first full-scale system is operational, with 100 megawatt-hours of capacity. The thermal battery is powered by an off-grid solar array and will provide heat for enhanced oil recovery (more on this in a moment).

Thermal batteries could help clean up difficult-to-decarbonize sectors like manufacturing and heavy industrial processes like cement and steel production. With Rondo’s latest announcement, the industry has reached a major milestone in its effort to prove that thermal energy storage can work in the real world. Let’s dig into this announcement, what it means to have oil and gas involved, and what comes next.

The concept behind a thermal battery is overwhelmingly simple: Use electricity to heat up some cheap, sturdy material (like bricks) and keep it hot until you want to use that heat later, either directly in an industrial process or to produce electricity.

Rondo’s new system has been operating for 10 weeks and achieved all the relevant efficiency and reliability benchmarks, according to the company. The bricks reach temperatures over 1,000 °C (about 1,800 °F), and over 97% of the energy put into the system is returned as heat.

This is a big step from the 2 MWh pilot system that Rondo started up in 2023, and it’s the first of the mass-produced, full-size heat batteries that the company hopes to put in the hands of customers.

Thermal batteries could be a major tool in cutting emissions: 20% of total energy demand today is used to provide heat for industrial processes, and most of that is generated by burning fossil fuels. So this project’s success is significant for climate action.

There’s one major detail here, though, that dulls some of that promise: This battery is being used for enhanced oil recovery, a process where steam is injected down into wells to get stubborn oil out of the ground.

It can be  tricky for a climate technology to show its merit by helping harvest fossil fuels. Some critics argue that these sorts of techniques keep that polluting infrastructure running longer.

When I spoke to Rondo founder and chief innovation officer  John O’Donnell about the new system, he defended the choice to work with oil and gas.  

“We are decarbonizing the world as it is today,” O’Donnell says. To his mind, it’s better to help an oil and gas company use solar power for its operation than leave it to continue burning natural gas for heat. Between cheap solar, expensive natural gas, and policies in California, he adds, Rondo’s technology made sense for the customer.

Having a willing customer pay for a full-scale system has been crucial to Rondo’s effort to show that it can deliver its technology.

And the next units are on the way: Rondo is currently building three more full-scale units in Europe. The company will be able to bring them online cheaper and faster because of what it’s learned from the California project, O’Donnell says. 

The company has the capacity to build more batteries, and do it quickly. It currently makes batteries at its factory in Thailand, which has the capacity to make 2.4 gigawatt-hours’ worth of heat batteries today.

I’ve been following progress on thermal batteries for years, and this project obviously represents a big step forward. For all the promises of cheap, robust energy storage, there’s nothing like actually building a large-scale system and testing it in the field.

It’s definitely hard to get excited about enhanced oil recovery—we need to stop burning fossil fuels, and do it quickly, to avoid the worst impacts of climate change. But I see the argument that as long as oil and gas operations exist, there’s value in cleaning them up.

And as O’Donnell puts it, heat batteries can help: “This is a really dumb, practical thing that’s ready now.”

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

The Download: aluminium’s potential as a zero-carbon fuel, and what’s next for energy storage

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.

This startup is about to conduct the biggest real-world test of aluminum as a zero-carbon fuel

Found Energy, a startup in Boston, aims to harness the energy in scraps of aluminum metal to power industrial processes without fossil fuels. Since 2022, the company has worked to develop ways to rapidly release energy from aluminum on a small scale.

Now it’s just switched on a much larger version of its aluminum-powered engine, which it claims is the largest aluminum-water reactor ever built.

Early next year, it will be installed to supply heat and hydrogen to a tool manufacturing facility in the southeastern US, using the aluminum waste produced by the plant itself as fuel.

If everything works as planned, this technology, which uses a catalyst to unlock the energy stored within aluminum metal, could transform a growing share of aluminum scrap into a zero-carbon fuel. Read the full story.

—James Dinneen

What a massive thermal battery means for energy storage

Rondo Energy just turned on what it says is the world’s largest thermal battery, an energy storage system that can take in electricity and provide a consistent source of heat.

The concept behind a thermal battery is overwhelmingly simple: Use electricity to heat up some cheap, sturdy material (like bricks) and keep it hot until you want to use that heat later, either directly in an industrial process or to produce electricity. 

Thermal batteries could be a major tool in cutting emissions: 20% of total energy demand today is used to provide heat for industrial processes, and most of that is generated by burning fossil fuels. But the company is using its battery for enhanced oil recovery—a process that critics argue keep polluting infrastructure running longer. Read the full story.

—Casey Crownhart

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

The must-reads

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

1 ChatGPT’s suicide discussion rules were loosened twice before a teen took his own life    
The parents of Adam Raine claim the changes OpenAI made equate to a weakening in its suicide protection for users. (WSJ $)
+ It did so to increase use of the chatbot, they allege in an amended lawsuit. (FT $)
+ The family is accusing OpenAI of intentional misconduct rather than reckless indifference. (Rolling Stone $)

2 Google claims its new quantum algorithm outperforms a supercomputer
It could accelerate advances in drug discovery and new building materials. (Ars Technica)
+ Its Willow chip is at the heart of the advance. (NYT $)
+ But real-world use of quantum computing is still likely to be years away. (The Guardian)

3 Reddit is suing AI search engine Perplexity
For allegedly illegally scraping its data to train the model powering Perplexity’s engine. (FT $)
+ Reddit’s also seeking a permanent injunction on companies selling its data. (Engadget)
+ What comes next for AI copyright lawsuits? (MIT Technology Review)

4 China has a five-year plan to become technologically self-reliant
And semiconductors and AI will play key roles. (Bloomberg $)
+ China is winning the trade war with America. (Economist $)

5 DeepSeek is taking off in Africa
Its decision to make its AI cheaper and less power-intensive is paying off. (Bloomberg $)
+ How DeepSeek ripped up the AI playbook. (MIT Technology Review)

6 Elon Musk is building a robot army
He envisions his Optimus robot becoming an “incredible surgeon.” (Wired $)
+ Will we ever trust robots? (MIT Technology Review)

7 Apple has pulled a pair of controversial dating apps from the App Store
Tea and TeaOnHer fell short of its privacy and content moderation rules. (TechCrunch)

8 Tesla’s profits are massively down
Even though it sold more cars than during its previous quarter. (NYT $)
+ The company has been forced to recall tens of thousands of Cybertrucks. (Reuters)
+ What happens when your EV becomes obsolete? (The Atlantic $)

9 An unexpected victim of the AWS outage? Smart beds 🛏
Some unlucky owners’ beds blared alarms and became unbearably warm. (WP $)
+ If the internet stays the way it is, more bed outages could be on their way. (The Atlantic $)

10 The appeal of incredibly basic software
Apple’s TextEdit does exactly what it says on the tin. (New Yorker $)

Quote of the day

“I’m very excited that nerds are having our moment.”

—Madhavi Sewak, a Google DeepMind researcher, says she’s glad that AI experts are being recognized, the Wall Street Journal reports.

One more thing

Inside the hunt for new physics at the world’s largest particle collider

In 2012, using data from CERN’s Large Hadron Collider, researchers discovered a particle called the Higgs boson. In the process, they answered a nagging question: Where do fundamental particles, such as the ones that make up all the protons and neutrons in our bodies, get their mass?

When the particle was finally found, scientists celebrated with champagne. A Nobel for two of the physicists who predicted the Higgs boson soon followed.

More than a decade later, there is a sense of unease. That’s because there are still so many unanswered questions about the fundamental constituents of the universe.

So researchers are trying something new. They are repurposing detectors to search for unusual-looking particles, squeezing what they can out of the data with machine learning, and planning for entirely new kinds of colliders. Read the full story.

—Dan Garisto

We can still have nice things

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

+ Mexico City is already getting into the Halloween spirit: its annual zombie parade took place over the weekend.
+ Everything you need to know before travelling to Japan.
+ The most stylish people alive? I’ll be the judge of that.
+ Here’s something you don’t expect archeologists to uncover: Neolithic chewing gum.

Redefining data engineering in the age of AI

As organizations weave AI into more of their operations, senior executives are realizing data engineers hold a central role in bringing these initiatives to life. After all, AI only delivers when you have large amounts of reliable and well-managed, high-quality data. Indeed, this report finds that data engineers play a pivotal role in their organizations as enablers of AI. And in so doing, they are integral to the overall success of the business.

According to the results of a survey of 400 senior data and technology executives, conducted by MIT Technology Review Insights, data engineers have become influential in areas that extend well beyond their traditional remit as pipeline managers. The technology is also changing how data engineers work, with the balance of their time shifting from core data management tasks toward AI-specific activities.

As their influence grows, so do the challenges data engineers face. A major one is dealing with greater complexity, as more advanced AI models elevate the importance of managing unstructured data and real-time pipelines. Another challenge is managing expanding workloads; data engineers are being asked to do more today than ever before, and that’s not likely to change.

Key findings from the report include the following:

  • Data engineers are integral to the business. This is the view of 72% of the surveyed technology leaders—and 86% of those in the survey’s biggest organizations, where AI maturity is greatest. It is a view held especially strongly among executives in financial services and manufacturing companies.
  • AI is changing everything data engineers do. The share of time data engineers spend each day on AI projects has nearly doubled in the past two years, from an average of 19% in 2023 to 37% in 2025, according to our survey. Respondents expect this figure to continue rising to an average of 61% in two years’ time. This is also contributing to bigger data engineer workloads; most respondents (77%) see these growing increasingly heavy.

Download the report.

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.

This content 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.

ChatGPT Atlas Pushes Agentic Browsing

It is official. The humble web browser is now an AI agent, too, and it will almost certainly impact ecommerce.

When it announced a new browser, Atlas, on October 21, OpenAI confirmed the latest trend in artificial intelligence. AI companies are building models directly into the primary internet experience. These AI browsers summarize pages, compare options, and complete tasks without leaving a tab. They produce, in a sense, a new kind of zero-click.

Screenshot of ChatGPT Atlas partial web page

AI browsers such as Atlas summarize pages, compare options, and complete tasks without leaving a tab.

Agentic Browsing

ChatGPT Atlas is not the first. Perplexity’s Comet, The Browser Company’s Dia, and Sigma are part of the same emerging class of AI-assisted — or perhaps AI-first — browsers, designed to transform the internet from a landscape of links into a unified workspace.

Incumbent browser makers are not to be left out. Google Chrome, Opera Neon, Brave, and Edge Copilot all offer various blends of AI and browsing.

Together, these agentic browsers signal a redefinition of how people move from search to purchase. Instead of typing a query, clicking results, and hopping from one merchant to another, users could stay inside the viewport as their browser does the work.

To be sure, this change is part of the emerging agentic commerce industry. OpenAI’s release makes these changes seem much more imminent.

Then and Soon to Be

For nearly 30 years, the online buying journey has followed the same path and pattern, a combination of impression, click, browse, product page, cart, checkout.

Every stage of that journey generated a data signal and an opportunity for advertisers and marketers to target a keyword, insert a bid, or buy a sponsored listing. Search engine optimization, retargeting, and affiliate links fed the sequence.

Some of these steps are fundamental — or at least we think they are. Other patterns will change.

3 Models

A just-released McKinsey & Company report, “The agentic commerce opportunity,” described three possible shopping flows.

  • Agent to site, where the AI agent sends shoppers directly to the merchant. This pattern is the most familiar.
  • Agent to agent. Here, a personal AI agent or AI browser helps a shopper find products before passing that customer to a dedicated vendor agent to complete the transaction.
  • Brokered, a more complicated form of the agent-to-agent model, wherein a broker agent and one or more vendor agents interact. Don’t be surprised if this model turns into an advertising or revenue-sharing engine.

Each model described in the McKinsey report removes one or more human clicks from the journey.

A McKinsey & Company diagram titled “Three possible paths to purchase in an agentic world” illustrates three types of AI-agent purchase flows.Agent to site: The user interacts with a personal agent, which connects directly to a website to complete the transaction. Agent to agent: The user’s personal agent communicates directly with a vendor agent, which then executes the transaction. Brokered agent to site: The personal agent engages a broker agent, which coordinates with multiple vendor agents to create a multivendor bundle and complete the transaction. Each path shows boxes labeled “User,” “Personal agent,” “Website,” “Vendor agent,” “Broker agent,” and “Transaction,” connected by arrows to depict data or decision flow.

Three models from McKinsey & Company demonstrate how AI agents might connect buyers to sellers. Click image to enlarge.

The scale could be immense. McKinsey estimated that agent-mediated shopping revenue in five years could reach $1 trillion in the United States and $5 trillion worldwide.

Plus, about half of consumers already use AI in search, and 44% say that AI has become their preferred method of finding information, according to McKinsey.

Concerns

Sellers should take notice anytime a new, disruptive technology, such as agentic browsers, changes shopping behavior.

It is vital to understand how sales work if shoppers never visit a product page. Or how will funnels be measured? How will affiliates or ad platforms function? How is shopper loyalty impacted?

An AI browser with a built-in assistant could compress and obscure the buyer’s journey. Retailers might experience sharp declines in web traffic even as overall sales remain stable or rise.

All of these questions are valid and important. In fact, the degree to which a business considers and plans for this change could be related to its ability to thrive.

Opportunity

A browser that acts on behalf of the customer can become a powerful distribution channel for ecommerce sellers.

Agentic commerce and AI-assisted browsers could become potent sources of first-party data. And that could lead to new levels of personalization and, yes, ad targeting akin to McKinsey’s “brokered” model above.

Agentic commerce and browsers should also make shopping easier for consumers. For example, an automated checkout process might all but eliminate the need to type credit card numbers or a shipping address.

Intelligent comparisons might drive more qualified sales, rewarding merchants who compete on quality instead of keyword spend. The same data infrastructure that powers agents can improve fulfillment, pricing, and customer service.

Relatively small brands that structure product data well or that have positive product reviews might appear alongside giants, their offers surfaced by relevance rather than ad budgets.

Ecommerce merchants should not fear the agent but prepare for it. The browser may soon do more than display content. It could recommend items and consummate their purchase.

This video by Sam Witteveen, an 11-year veteran of deep learning and LLMs, provides a helpful perspective:

Book Excerpt: ‘Mission-Driven Ecommerce’

Editor’s note: Kenny Kane is the CEO of Testicular Cancer Foundation and a longtime cause-based ecommerce entrepreneur. He’s also a former Practical Ecommerce contributor. His book, “Mission-Driven Ecommerce,” is newly published. What follows is the book’s introduction. 

Building Something People Want to Wear

Before I ever sold a t-shirt online, I learned about customer service behind a pharmacy counter.

I was fifteen years old, working at a small independent pharmacy on Long Island. The previous pharmacy had been a Main Street fixture for thirty years before CVS bought them out and shut the doors overnight. Our job was to rebuild trust with customers who’d been abandoned, one prescription at a time.

What I learned there shaped everything I built afterward: customer service isn’t about transactions. It’s about understanding that every person who walks through your door is part of a larger ecosystem. They have families worried about them, doctors depending on accurate information, neighbors who help with rides. When you serve one person well, you’re actually serving an entire network of relationships around them.

That principle — seeing beyond the immediate transaction to understand the whole system you’re serving — became the foundation for how I approached building an ecommerce store years later.

The first product I ever sold online was a white Gildan 5000 t-shirt with “Stupid Cancer” printed across the front. I charged $20. I had no inventory system, no marketing funnel, no supply chain. I packed and shipped every order by hand from our Tribeca office in Lower Manhattan.

Cover of Mission-Driven Ecommerce

Mission-Driven Ecommerce

That one shirt sparked something I never imagined: a six-figure ecommerce operation that turned customers into walking billboards, funded programs that mattered, and became one of the most exciting things I’d ever built.

It was March 2012. I was 25 years old, serving as Chief Operating Officer of Stupid Cancer — a nonprofit supporting young adults affected by cancer. I wore a lot of hats: program director, operations manager, customer service rep. And now, apparently, ecommerce entrepreneur.

I was so excited to be working at Stupid Cancer and building something big. The organization had bold ideas about changing how the world talked about young adult cancer. “Stupid Cancer” wasn’t a safe name. It wasn’t committee-approved nonprofit speak. It was provocative, memorable, and exactly what our community needed to hear.

Stupid Cancer’s mission is to end isolation for adolescents and young adults with cancer and make cancer suck less. The store became an unexpected tool for that mission — every shirt someone wore became a conversation starter, a way to find other young adults going through the same thing, a statement that you weren’t alone.

We’d been selling merchandise through CafePress, the print-on-demand platform, but the profit margins were razor-thin, and we had zero control over quality or fulfillment. I knew we could do better. But here’s the catch: we were a nonprofit. Donor dollars couldn’t fund a merch line. Every t-shirt I ordered had to be paid for with money we didn’t have yet, from customers who didn’t know we existed.

So I started small. One design. One color. One product. I scraped together enough cash to order a small batch, had them printed, and listed them on our newly launched Volusion store.

Then I waited.

That waiting didn’t last long.

The first order came in. Then another. Then ten more. The Stupid Cancer community — bold, passionate, and proud — didn’t just want to donate to our cause. They wanted to wear it. They wanted to make a statement. Our messaging was never subtle, and neither was our audience’s desire to be seen.

Before I knew it, I was fulfilling dozens of orders a week. Then hundreds. We added new designs — short sleeves, long sleeves, raglans, hooded sweatshirts, beanies. We experimented with different materials and colorways.

And here’s the thing: I wore our products almost every day. Not because I had to, but because I genuinely loved them. I didn’t want to create products I wouldn’t wear myself. That authenticity mattered. I became a walking billboard, and when people asked about my shirt, I could tell them the story with genuine enthusiasm.

The store wasn’t just generating revenue. It was creating advocates. Every customer who bought a shirt became a conversation starter. Every person wearing our gear was sparking discussions about young adult cancer in places those conversations didn’t usually happen — at the gym, in coffee shops, on college campuses.

We were turning commerce into community building. And it was working.

Buy “Misson-Driven Commerce” on Amazon or Kenny-Kane.com