Balloons will surf wind currents to track wildfires

This August, strange balloons will drift high above Colorado. These airy aircraft, launched from the back of a pickup truck, will be equipped with sensors that can measure heat on the ground, pinpointing new wildfire outbreaks from above. 

The company behind the balloons, called Urban Sky, also plans to use them to  understand conditions on the ground before fires start. Approximately 237,500 acres burn in Colorado annually, according to 2011–2020 data from the Rocky Mountain Area Coordination Center. The hope is that this new high-altitude tool might allow humans to manage—or at least understand—those blazes better.

“Wildfire is a natural part of ecosystems,” says Michael Falkowski, manager of the wildland fire programs at NASA. But climate change has proved to be an accelerant, rendering fires bigger, more intense, and more frequent. At the same time, more people are living closer to wild spaces, and the US’s history of fire suppression, which has crowded forests and left old and dead vegetation sitting around, is fanning the flames. 

To deal with modern fires, Falkowski says, researchers and fire agencies have to gather data before those fires start and after they’re done smoldering, not just as they’re burning. That makes it possible to understand the risks ahead of time and try to mitigate them, track ongoing blazes, and understand the threats fires pose to communities and the environment.

Before a fire takes hold, researchers can map vegetation and estimate how wet or dry it is. During a fire, they can map where and how hot the activity is. When it’s all over, they can assess the severity of the burn and track air quality.

Pass Fire (New Mexico) 3.5m Infrared Sample from Urban Sky Microballoon.
An infrared image of the 2023 Pass Fire in New Mexico, taken by an Urban Sky balloon.
COURTESY URBAN SKY

Still, the most acute phase is obviously the one when the fire is actually burning. In the heat of that moment, it can be hard to get a handle on when and where, exactly, the fire is taking hold. Satellites do some of that work, surveying large areas all at once. But the primary governmental satellites produce pictures with pixels around 300 meters across, and they can’t always get a super timely look at a given spot, since their view is limited by their orbit. 

Airplanes and helicopters can map a fire’s extent in more detail, but they’re expensive to operate and dangerous to fly. They have to coordinate with other aircraft and have smaller views, being closer to the ground. They’re also a limited resource. 

Urban Sky aims to combine the advantages of satellites and aircraft by using relatively inexpensive high-altitude balloons that can fly above the fray—out of the way of airspace restrictions, other aircraft, and the fire itself. The system doesn’t put a human pilot at risk and has an infrared sensor system called HotSpot that provides a sharp, real-time picture, with pixels 3.5 meters across. “We targeted that resolution with the goal of being able to see a single burning tree,” says Jared Leidich, chief technology officer at Urban Sky. “And so that would show up essentially as one pixel—one hot pixel.” The company has some competition: Others, like Aerostar and LUX Aerobot, also make balloons that can monitor wildfires.

The Urban Sky team has launched balloons in previous tests, but in August, the technology will monitor potential fires for an actual (unspecified) customer. Sending the balloon-lofted HotSpot up will be a surprisingly simple affair, thanks to the balloon’s relatively small size: While the company makes several sizes, the original is about as big as a van at launch, inflating to the size of a small garage once it’s aloft and surrounded by lower-pressure air. The Urban Sky team uses weather software to calculate where to launch a balloon so that it will drift over the fire at the right elevation. Then the team packs one up, along with compressed helium or hydrogen gas, and drives a truck out to that location. The balloon is hooked onto a mast jutting from the vehicle, filled up with the lighter-than-air molecules, and released. The whole process takes about 10 minutes. 

Once the balloon hits its cruising altitude, the HotSpot sensor turns on. Through satellite communication networks, an onboard processor sends real-time information about actual hot spots back to people on the ground. 

The balloons can hover over a fire for about 18 hours, using the whims of the atmosphere to stay in place. They fly near the top of the troposphere and the bottom of the next atmospheric layer: the stratosphere. “Those often have winds going in different directions,” explains Leidich. To move back and forth, the balloon simply has to go up or down. 

Urban Sky’s unnamed customer for its August deployment takes data on wind patterns and fuels (also known as trees, bushes, and grass) to try to understand the spots where fires are most likely to start and spread. It is interested in integrating Urban Sky’s on-the-ground (read: in-the-air) data on where fires actually do break out. “They want to add an extra step to the process where they actually scan the areas that are high risk,” says Leidich.

During the campaign, if officials identify or suspect a fire, Urban Sky can send out the truck. “We put a balloon up over the area to scan the area and say, ‘Yes, there is a fire. Here it is,’” says Leidich. 

An Urban Sky Microballoon pictured shortly after launch near Greeley, CO.

COURTESY URBAN SKY

If they get yeses where they should and nos where there is nothing to see, the proof of concept could lead to wider adoption of the HotSpot system, perhaps offering a simple and timely way for other regions to get a handle on their own fires.

This year, Urban Sky also has a grant through NASA’s FireSense program, which aims to find innovative ways to learn about all three fire phases (before, during, and after). At the moment, the August campaign and the NASA program are the primary customers for Hot Spot, although the company also sells regularly updated aerial images of 12 cities in the western US.

“It’s kind of an interesting technology to be able to do this active fire detection and tracking from a high-altitude platform,” Falkowski says of Urban Sky’s balloons. 

With NASA’s support, the team is hoping to redesign the system for longer flights, build in a more robust communication system, and incorporate a sensor that captures blue, green, and near-infrared light, which would make it possible to understand those plant-based “fuels” better and assign risk scores to forests accordingly. Next year the team is planning to again hover over real fires, this time for NASA.

And there will always be fires to hover over. As there always have been, Falkowski points out. “Fire is not a bad thing,” he says. “These ecosystems evolved with fire. The problem is humans are getting too close to places that just need to burn.”

Sarah Scoles is a Colorado-based science journalist and the author, most recently, of the book Countdown: The Blinding Future of Nuclear Weapons.

How to fix a Windows PC affected by the global outage

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more here.

Windows PCs have crashed in a major IT outage around the world, bringing airlines, major banks, TV broadcasters, health-care providers, and other businesses to a standstill.

Airlines including United, Delta, and American have been forced to ground and delay flights, stranding passengers in airports, while the UK broadcaster Sky News was temporarily pulled off air. Meanwhile, banking customers in Europe, Australia, and India have been unable to access their online accounts. Doctor’s offices and hospitals in the UK have lost access to patient records and appointment scheduling systems. 

The problem stems from a defect in a single content update for Windows machines from the cybersecurity provider CrowdStrike. George Kurtz, CrowdStrike’s CEO, says that the company is actively working with customers affected.

“This is not a security incident or cyberattack,” he said in a statement on X. “The issue has been identified, isolated and a fix has been deployed. We refer customers to the support portal for the latest updates and will continue to provide complete and continuous updates on our website.” CrowdStrike pointed MIT Technology Review to its blog with additional updates for customers.

What caused the issue?

The issue originates from a faulty update from CrowdStrike, which has knocked affected servers and PCs offline and caused some Windows workstations to display the “blue screen of death” when users attempt to boot them. Mac and Linux hosts are not affected.

The update was intended for CrowdStrike’s Falcon software, which is “endpoint detection and response” software designed to protect companies’ computer systems from cyberattacks and malware. But instead of working as expected, the update caused computers running Windows software to crash and fail to reboot. Home PCs running Windows are less likely to have been affected, because CrowdStrike is predominantly used by large organizations. Microsoft did not immediately respond to a request for comment.

“The CrowdStrike software works at the low-level operating system layer. Issues at this level make the OS not bootable,” says Lukasz Olejnik, an independent cybersecurity researcher and consultant, and author of Philosophy of Cybersecurity.

Not all computers running Windows were affected in the same way, he says, pointing out that if a machine’s systems had been turned off at the time CrowdStrike pushed out the update (which has since been withdrawn), it wouldn’t have received it.

For the machines running systems that received the mangled update and were rebooted, an automated update from CloudStrike’s server management infrastructure should suffice, he says.

“But in thousands or millions of cases, this may require manual human intervention,” he adds. “That means a really bad weekend ahead for plenty of IT staff.”

How to manually fix your affected computer

There is a known workaround for Windows computers that requires administrative access to its systems. If you’re affected and have that high level of access, CrowdStrike has recommended the following steps:

1. Boot Windows into safe mode or the Windows Recovery Environment.

2. Navigate to the C:WindowsSystem32driversCrowdStrike directory.

3. Locate the file matching “C-00000291*.sys” and delete it.

4. Boot the machine normally.

Sounds simple, right? But while the above fix is fairly easy to administer, it requires someone to enter it physically, meaning IT teams will need to track down remote machines that have been affected, says Andrew Dwyer of the Department of Information Security at Royal Holloway, University of London.

“We’ve been quite lucky that this is an outage and not an exploitation by a criminal gang or another state,” he says. “It also shows how easy it is to inflict quite significant global damage if you get into the right part of the IT supply chain.”

While fixing the problem is going to cause headaches for IT teams for the next week or so, it’s highly unlikely to cause significant long-term damage to the affected systems—which would not have been the case if it had been ransomware rather than a bungled update, he says.

“If this was a piece of ransomware, there could have been significant outages for months,” he adds. “Without endpoint detection software, many organizations would be in a much more vulnerable place. But they’re critical nodes in the system that have a lot of access to the computer systems that we use.”

A short history of AI, and what it is (and isn’t)

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

It’s the simplest questions that are often the hardest to answer. That applies to AI, too. Even though it’s a technology being sold as a solution to the world’s problems, nobody seems to know what it really is. It’s a label that’s been slapped on technologies ranging from self-driving cars to facial recognition, chatbots to fancy Excel. But in general, when we talk about AI, we talk about technologies that make computers do things we think need intelligence when done by people. 

For months, my colleague Will Douglas Heaven has been on a quest to go deeper to understand why everybody seems to disagree on exactly what AI is, why nobody even knows, and why you’re right to care about it. He’s been talking to some of the biggest thinkers in the field, asking them, simply: What is AI? It’s a great piece that looks at the past and present of AI to see where it is going next. You can read it here

Here’s a taste of what to expect: 

Artificial intelligence almost wasn’t called “artificial intelligence” at all. The computer scientist John McCarthy is credited with coming up with the term in 1955 when writing a funding application for a summer research program at Dartmouth College in New Hampshire. But more than one of McCarthy’s colleagues hated it. “The word ‘artificial’ makes you think there’s something kind of phony about this,” said one. Others preferred the terms “automata studies,” “complex information processing,” “engineering psychology,” “applied epistemology,” “neural cybernetics,”  “non-numerical computing,” “neuraldynamics,” “advanced automatic programming,” and “hypothetical automata.” Not quite as cool and sexy as AI.

AI has several zealous fandoms. AI has acolytes, with a faith-like belief in the technology’s current power and inevitable future improvement. The buzzy popular narrative is shaped by a pantheon of big-name players, from Big Tech marketers in chief like Sundar Pichai and Satya Nadella to edgelords of industry like Elon Musk and Sam Altman to celebrity computer scientists like Geoffrey Hinton. As AI hype has ballooned, a vocal anti-hype lobby has risen in opposition, ready to smack down its ambitious, often wild claims. As a result, it can feel as if different camps are talking past one another, not always in good faith.

This sometimes seemingly ridiculous debate has huge consequences that affect us all. AI has a lot of big egos and vast sums of money at stake. But more than that, these disputes matter when industry leaders and opinionated scientists are summoned by heads of state and lawmakers to explain what this technology is and what it can do (and how scared we should be). They matter when this technology is being built into software we use every day, from search engines to word-processing apps to assistants on your phone. AI is not going away. But if we don’t know what we’re being sold, who’s the dupe?

For example, meet the TESCREALists. A clunky acronym (pronounced “tes-cree-all”) replaces an even clunkier list of labels: transhumanism, extropianism, singularitarianism, cosmism, rationalism, effective altruism, and longtermism. It was coined by Timnit Gebru, who founded the Distributed AI Research Institute and was Google’s former ethical AI co-lead, and Émile Torres, a philosopher and historian at Case Western Reserve University. Some anticipate human immortality; others predict humanity’s colonization of the stars. The common tenet is that an all-powerful technology is not only within reach but inevitable. TESCREALists believe that artificial general intelligence, or AGI, could not only fix the world’s problems but level up humanity. Gebru and Torres link several of these worldviews—with their common focus on “improving” humanity—to the racist eugenics movements of the 20th century.

Is AI math or magic? Either way, people have strong, almost religious beliefs in one or the other. “It’s offensive to some people to suggest that human intelligence could be re-created through these kinds of mechanisms,” Ellie Pavlick, who studies neural networks at Brown University, told Will. “People have strong-held beliefs about this issue—it almost feels religious. On the other hand, there’s people who have a little bit of a God complex. So it’s also offensive to them to suggest that they just can’t do it.”

Will’s piece really is the definitive look at this whole debate. No spoilers—there are no simple answers, but lots of fascinating characters and viewpoints. I’d recommend you read the whole thing here—and see if you can make your mind up about what AI really is.


Now read the rest of The Algorithm

Deeper Learning

AI can make you more creative—but it has limits

Generative AI models have made it simpler and quicker to produce everything from text passages and images to video clips and audio tracks. But while AI’s output can certainly seem creative, do these models actually boost human creativity?  

A new study looked at how people used OpenAI’s large language model GPT-4 to write short stories. The model was helpful—but only to an extent. The researchers found that while AI improved the output of less creative writers, it made little difference to the quality of the stories produced by writers who were already creative. The stories in which AI had played a part were also more similar to each other than those dreamed up entirely by humans. Read more from Rhiannon Williams.

Bits and Bytes

Robot-packed meals are coming to the frozen-food aisle
Found everywhere from airplanes to grocery stores, prepared meals are usually packed by hand. AI-powered robotics is changing that. (MIT Technology Review

AI is poised to automate today’s most mundane manual warehouse task
Pallets are everywhere, but training robots to stack them with goods takes forever. Fixing that could be a tangible win for commercial AI-powered robots. (MIT Technology Review)

The Chinese government is going all-in on autonomous vehicles
The government is finally allowing Tesla to bring its Full Self-Driving feature to China. New government permits let companies test driverless cars on the road and allow cities to build smart road infrastructure that will tell these cars where to go. (MIT Technology Review

The US and its allies took down a Russian AI bot farm on X
The US seized control of a sophisticated Russian operation that used AI to push propaganda through nearly a thousand covert accounts on the social network X. Western intelligence agencies traced the propaganda mill to an officer of the Russian FSB intelligence force and to a former senior editor at state-controlled publication RT, formerly called Russia Today. (The Washington Post)

AI investors are starting to wonder: Is this just a bubble?
After a massive investment in the language-model boom, the biggest beneficiary is Nvidia, which designs and sells the best chips for training and running modern AI models. Investors are now starting to ask what LLMs are actually going to be used for, and when they will start making them money. (New York magazine

Goldman Sachs thinks AI is overhyped, wildly expensive, and unreliable
Meanwhile, the major investment bank published a research paper about the economic viability of generative AI. It notes that there is “little to show for” the huge amount of spending on generative AI infrastructure and questions “whether this large spend will ever pay off in terms of AI benefits and returns.” (404 Media

The UK politician accused of being AI is actually a real person
A hilarious story about how Mark Matlock, a candidate for the far-right Reform UK party, was accused of being a fake candidate created with AI after he didn’t show up to campaign events. Matlock has assured the press he is a real person, and he wasn’t around because he had pneumonia. (The Verge

Google, Amazon and the problem with Big Tech’s climate claims

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.

Last week, Amazon trumpeted that it had purchased enough clean electricity to cover the energy demands of all the offices, data centers, grocery stores, and warehouses across its global operations, seven years ahead of its sustainability target. 

That news closely followed Google’s acknowledgment that the soaring energy demands of its AI operations helped ratchet up its corporate emissions by 13% last year—and that it had backed away from claims that it was already carbon neutral.

If you were to take the announcements at face value, you’d be forgiven for believing that Google is stumbling while Amazon is speeding ahead in the race to clean up climate pollution. 

But while both companies are coming up short in their own ways, Google’s approach to driving down greenhouse-gas emissions is now arguably more defensible. 

In fact, there’s a growing consensus that how a company gets to net zero is more important than how fast it does so. And a new school of thought is emerging that moves beyond the net-zero model of corporate climate action, arguing that companies should focus on achieving broader climate impacts rather than trying to balance out every ton of carbon dioxide they emit. 

But to understand why, let’s first examine how the two tech giants’ approaches stack up, and where company climate strategies often go wrong.

Perverse incentives

The core problem is that the costs and complexity of net-zero emissions plans, which require companies to cut or cancel out every ton of climate pollution across their supply chains, can create perverse incentives. Corporate sustainability officers often end up pursuing the quickest, cheapest ways of cleaning up a company’s pollution on paper, rather than the most reliable ways of reducing its emissions in the real world. 

That may mean buying inexpensive carbon credits to offset ongoing pollution from their direct operations or that of their suppliers, rather than undertaking the tougher task of slashing those emissions at the source. Those programs can involve paying other parties to plant trees, restore coastal ecosystems, or alter agriculture practices in ways that purport to reduce emissions or pull carbon dioxide out of the air. The snag is, numerous studies and investigative stories have shown that such efforts often overstate the climate benefits, sometimes wildly.  

Net-zero goals can also compel companies to buy what are known as renewable energy credits (RECs), which ostensibly support additional generation of renewable electricity but raise similar concerns that the climate gains are overstated.

The argument for RECs is that companies often can’t purchase a pure stream of clean electricity to power their operations, since grid operators rely on a mix of natural gas, coal, solar, wind, and other sources. But if those businesses provide money or an indication of demand that spurs developers to build new renewables projects and generate more clean electricity than they would have otherwise, the companies can then claim this cancels out ongoing pollution from the electricity they use.

Experts, however, are less and less convinced of the value of RECs at this stage.

The claim that clean-energy projects wouldn’t have been built without that added support is increasingly unconvincing in a world where those facilities can easily compete in the marketplace on their own, Emily Grubert, an associate professor at Notre Dame, previously told me. And if a company’s purchase of such credits doesn’t bring about changes that reduce the emissions in the atmosphere, it can’t balance out the company’s ongoing pollution. 

‘Creative accounting’

For its part, Amazon is relying on both carbon credits and RECs. 

In its sustainability report, the company says that it reached its clean-electricity targets and drove down emissions by improving energy efficiency, buying more carbon-free power, building renewables projects at its facilities, and supporting such projects around the world. It did this in part by “purchasing additional environmental attributes (such as renewable energy credits) to signal our support for renewable energy in the grids where we operate, in line with the expected generation of the projects we have contracted.”

But there’s yet another issue that can arise when a company pays for clean power that it’s not directly consuming, whether through RECs or through power purchase agreements made before a project is built: Merely paying for renewable electricity generation that occurred at some point, somewhere in the world, isn’t the same as procuring the amount of electricity that the company consumed in the specific places and times that it did so. As you may have heard, the sun stops shining and the wind stops blowing, even as Amazon workers and operations keep grinding around the world and around the clock. 

Paying a solar-farm operator some additional money for producing electricity it was already going to generate in the middle of the day doesn’t in any meaningful way reverse the emissions that an Amazon fulfillment center or server farm produces by, say, drawing electricity from a natural-gas power plant two states away in the middle of the night. 

“The reality on the ground is that its data centers are driving up demand for fossil fuels,” argued a report last week from Amazon Employees for Climate Justice, a group of workers that has been pushing the company to take more aggressive action on climate change. 

The organization said that a significant share of Amazon’s RECs aren’t driving development of new projects. It also stressed that those payments and projects often aren’t generating electricity in the same areas and at the same times that Amazon is consuming power.

The employee group estimates that 78% of Amazon’s US energy comes from nonrenewable sources and accuses the company of using “creative accounting” to claim it’s reached its clean-electricity goals.

To its credit, Amazon is investing billions of dollars in renewables, electrifying its fleet of delivery vehicles, and otherwise making real strides in reducing its waste and emissions. In addition, it’s lobbying US legislators to make it easier to permit electric transmission projects, funding more reliable forms of carbon removal, and working to diversify its mix of electricity sources. The company also insists it’s being careful and selective about the types of carbon offsets it supports, investing only in “additional, quantifiable, real, permanent, and socially beneficial” projects.

“Amazon is focused on making the grid cleaner and more reliable for everyone,” the company said in response to an inquiry from MIT Technology Review. “An emissions-first approach is the fastest, most cost-effective and scalable way to leverage corporate clean-energy procurement to help decarbonize global power grids. This includes procuring renewable energy in locations and countries that still rely heavily on fossil fuels to power their grids, and where energy projects can have the biggest impact on carbon reduction.”

The company has adopted what’s known as a “carbon matching” approach (which it lays out further here), stressing that it wants to be sure the emissions reduced through its investments in renewables equal or exceed the emissions it continues to produce. 

But a recent study led by Princeton researchers found that carbon matching had a “minimal impact” on long-term power system emissions, because it rarely helps get projects built or clean energy generated where those things wouldn’t have happened anyway.

“It’s an offsetting scheme at its core,” Wilson Ricks, an author of the study and an energy systems researcher at Princeton, said of the method, without commenting on Amazon specifically. 

(Meta, Salesforce, and General Motors have also embraced this model, the study notes.)

The problem in asserting that a company is effectively running entirely on clean electricity, when it’s not doing so directly and may not be doing so completely, is that it takes off any pressure to finish the job for real. 

Backing off claims of carbon neutrality

Google has made its own questionable climate claims over the years as well, and it faces growing challenges as the energy it uses for artificial intelligence soars. 

But it is striving to address its power consumption in arguably more defensible ways and now appears to be taking some notable course-correcting steps, according to its recent sustainability report

Google says that it’s no longer buying carbon credits that purport to prevent emissions. With this change, it has also backed away from the claim that it had already achieved carbon neutrality across its operations years ago.

“We’re no longer procuring carbon avoidance credits year-over-year to compensate for our annual operational emissions,” the company told MIT Technology Review in a statement. “We’re instead focusing on accelerating an array of carbon solutions and partnerships that will help us work toward our net-zero goal, while simultaneously helping develop broader solutions to mitigate climate change.”

Notably, that includes funding the development of more expensive but possibly more reliable ways of pulling greenhouse gas out of the atmosphere through direct air capture machines or other methods. The company pledged $200 million to Frontier, an effort to pay in advance for one billion tons of carbon dioxide that startups will eventually draw down and store. 

Those commitments may not allow the company to make any assertions about its own emissions today, and some of the early-stage approaches it funds might not work at all. But the hope is that these sorts of investments could help stand up a carbon removal industry, which studies find may be essential for keeping warming in check over the coming decades. 

Clean power around the clock

In addition, for several years now Google has worked to purchase or otherwise support generation of clean power in the areas where it operates and across every hour that it consumes electricity—an increasingly popular approach known as 24/7 carbon-free energy.

The idea is that this will stimulate greater development of what grid operators increasingly need: forms of carbon-free energy that can run at all hours of the day (commonly called “firm generation”), matching up with the actual hour-by-hour energy demands of corporations. That can include geothermal plants, nuclear reactors, hydroelectric plants, and more.

More than 150 organizations and governments have now signed the 24/7 Carbon-Free Energy Compact, a pledge to ensure that clean-electricity purchases match up hourly with their consumption. Those include Google, Microsoft, SAP, and Rivian.

The Princeton study notes that hourly matching is more expensive than other approaches but finds that it drives “significant reductions in system-level CO2 emissions” while “incentivizing advanced clean firm generation and long-duration storage technologies that would not otherwise see market uptake.”

In Google’s case, pursuing 24/7 matching has steered the company to support more renewables projects in the areas where it operates and to invest in more energy storage projects. It has also entered into purchase agreements with power plants that can deliver carbon-free electricity around the clock. These include several deals with Fervo Energy, an enhanced-geothermal startup.

The company says its goal is to achieve net-zero emissions across its supply chains by 2030, with all its electricity use synced up, hour by hour, with clean sources across every grid it operates on.

Energy-hungry AI

Which brings us back to the growing problem of AI energy consumption.

Jonathan Koomey, an independent researcher studying the energy demands of computing, argues that the hue and cry over rising electricity use for AI is overblown. He notes that AI accounts for only a sliver of overall energy consumption from information technology, which produces about 1.4% of global emissions.

But major data center companies like Google, Amazon, and others will need to make significant changes to ensure that they stay ahead of rising AI-driven energy use while keeping on track with their climate goals.

They will have to improve overall energy efficiency, procure more clean energy, and use their clout as major employers to push utilities to increase carbon-free generation in the areas where they operate, he says. But the clear focus must be on directly cutting corporate climate pollution, not mucking around with RECs and offsets.

“Reduce your emissions; that’s it,” Koomey says. “We need actual, real, meaningful emissions reductions, not trading around credits that have, at best, an ambiguous effect.”

Google says it’s already making progress on its AI footprint, while stressing that it’s leveraging artificial intelligence to find ways to drive down climate pollution across sectors. Those include efforts like Tapestry, a project within the company’s X “moonshot factory” to create more efficient and reliable electricity grids, as well as a Google Research collaboration to determine airline flight paths that produce fewer heat-trapping cirrus clouds

“AI holds immense promise to drive climate action,” the company said in its report.

The contribution model

The contrasting approaches of Google and Amazon call to mind an instructive hypothetical that a team of carbon market researchers sketched out in a paper this January. They noted that one company could do the hard, expensive work of directly eliminating nearly every ton of its emissions, while another could simply buy cheap offsets to purportedly address all of its own. In that case the first company would have done more actual good for the climate, but only the latter would be able to say it had reached its net-zero target.

Given these challenges and the perverse incentives driving companies toward cheap offsets, the authors have begun arguing for a different approach, known as the “contribution model.”

Like Koomey and others, they stress that companies should dedicate most of their money and energy to directly cutting their emissions as much as possible. But they assert that companies should adopt a new way of dealing with what’s left over (either because that remaining pollution is occurring outside their direct operations or because there are not yet affordable, emissions-free alternatives).

Instead of trying to cancel out every ongoing ton of emissions, a company might pick a percentage of its revenue or set a defensible carbon price on those tons, and then dedicate all that money toward achieving the maximum climate benefit the money can buy, says Libby Blanchard, a research scholar at the University of Cambridge. (She coauthored the paper on the contribution model with Barbara Haya of the University of California, Berkeley, and Bill Anderegg at the University of Utah.)

That could mean funding well-managed forestry projects that help trap carbon dioxide, protect biodiversity, and improve air and water quality. It could mean supporting research and development on the technologies still needed to slow global warming and efforts to scale them up, as Google seems to be doing. Or it could even mean lobbying for stricter climate laws, since few things can drive change as quickly as public policy. 

But the key difference is that the company won’t be able to claim that those actions canceled out every ton of remaining emissions—only that it took real, responsible steps to “contribute” to addressing the problem of climate change. 

The hope is that this approach frees companies to focus on the quality of the projects it funds, not the quantity of cheap offsets it buys, Blanchard says.

It could “replace this race to the bottom with a race to the top,” she says.

As with any approach put before profit-motivated companies that employ ranks of savvy accountants and attorneys, there will surely be ways to abuse this method in the absence of appropriate safeguards and oversight.

And plenty of companies may refuse to adopt it, since they won’t be able to claim they’ve achieved net-zero emissions, which has become the de facto standard for corporate climate action.

But Blanchard says there’s one obvious incentive for them to move away from that goal.

“There’s way less risk that they’ll be sued or accused of greenwashing,” she says.

Five ways to make music streaming better for the climate

This story first appeared in China Report, MIT Technology Review’s newsletter about technology in China. Sign up to receive it in your inbox every Tuesday.

This week, we are taking a short break from China and turning to its neighbor South Korea instead. As K-pop sweeps the world and accumulates a massive, devout fan base, these fans have been turning their power into action. Today, I published a story about Kpop4planet, a group of volunteers who are using K-pop’s influence to hold large corporations accountable for their carbon footprints.

One of the most interesting (and also successful) campaigns Kpop4planet has organized shines a light on the carbon footprint of music streaming. Aware that K-pop fans stream significantly more than average (sometimes over five hours a day!) to support their favorite artists, the group successfully campaigned to get Korea’s largest domestic streaming platform to pledge to use 100% renewable energy by 2030.

I have to admit, before working on this story, it didn’t really cross my mind that streaming music could be so polluting. Streaming an album more than 27 times uses more energy than it takes to produce a CD, according to researchers, but it’s surprisingly hard to draw a conclusive answer on whether streaming is more polluting than CDs or records overall. What we do know is that since the carbon emissions associated with streaming are produced in faraway data centers and through invisible data transmissions, the problem is harder to pin down.

During my reporting, I talked to several experts about how to correctly understand the climate impact of music streaming, and one thing became clear: It all comes down to how we stream—the content, the device, the length, etc. They also recommended a bunch of things that any music streaming user can do to leave a smaller carbon footprint.

So here are the things you can do if you are a heavy music streamer:

1. Use small devices instead of big TVs. 

A major part of streaming’s carbon footprint comes from the device that’s used to play the music or video. And some are much more power hungry than others. A 50-inch LED TV consumes 100 times more electricity than a smartphone when used for streaming, according to the International Energy Agency. It also consumes more electricity if the screen stays on, displaying videos or lyrics, rather than just playing the audio. So using a smartphone to stream cuts energy consumption to a minimum.

2. Wait longer to buy a new phone. 

Yes, smartphones are designed to be pretty energy-efficient to use, but manufacturing them is another story. “In the life-cycle analysis of a phone, 85% to 90% of its lifetime energy occurs in its production,” says Laura Marks, a professor in media art and philosophy at Simon Fraser University. The manufacturing process usually involves fossil fuels, plastics, and minerals that could pollute the environment.

“So if I were to make a couple of recommendations, one of them would be to keep your devices for as long as possible, because that’s a huge, huge component of streaming that’s often overlooked,” she says.

3. Return to digital downloads, and only use streaming in selected situations.

While few people still download music files today, experts have agreed that one of the most climate-friendly ways to listen to music is to keep a digital file of your favorite song and return to it repeatedly. 

We also need to change our mindset about treating streaming as the only way to listen to music, says Joe Steinhardt, an assistant professor in the music industry program at Drexel University. “The first and the easiest [suggestion] is to think about streaming music like Styrofoam plates or plastic forks. It doesn’t mean I never use those; it’s just that I don’t eat every meal off of them,” he says. If you are listening to a large variety of music, maybe streaming is the best choice; if you are listening to a few songs repeatedly, go for a digital download or even an old-fashioned CD.

4. Push for streaming platforms to do their part.

Climate action is not just about individual responsibility—it also means pushing corporations to do better. Just as Kpop4planet chased after Melon, Korea’s largest domestic music streaming service, you can also hold your favorite music streaming service accountable. 

A big part of that is figuring out where the platforms’ data centers are, as these can account for a third to a half of streaming’s carbon footprint, according to Marks. These gigantic facilities draw significant amounts of electricity. If they can switch to using renewable energy, that will be much more meaningful than any action one individual can take. It’s also important not to fall for empty promises, and to seek specific plans on where and how they plan to source renewable energy.

5. Cherish music and resist overconsumption.

Many experts mention the Jevons paradox, which states that increasing the efficiency with which a resource is used can lead to more total consumption. In the case of streaming, this means that even if the technology can become more energy-efficient on a per-song basis, the business model and the sheer convenience often encourage users to listen to more and more songs without considering the climate consequences.

To resist that mindset, Marks suggests, we should cherish listening to music more. “Instead of streaming all day, it could mean really enjoying the performance of a song—just listening to it a couple of times and then talking with your friends about it,” she says.

My conclusion? It’s never too late to become aware of the climate impact of music streaming and think about what we can do to make it even just a little greener. 

What’s your relationship with music streaming? Tell me more about it at zeyi@technologyreview.com.


Now read the rest of China Report

Catch up with China

1. CATL, the world’s largest EV battery maker, is flush with cash. But China’s strict control of capital means it has to seek external investment to build up its supply chain outside the country. (Financial Times $)

2. China is asking the World Trade Organization to settle its dispute with the US about EV tariffs. (Reuters $)

3. US-China trade conflicts are spreading to the mattress market, where US retailers say the domestic market is being flooded by Chinese products. (Wall Street Journal $)

4. A new movie in China used AI face-swapping technology to make Jackie Chan look decades younger. Critics hated it. (South China Morning Post $)

5. The failed assassination attempt at a Trump rally not only boosted support for the former president but also caused the price of a Chinese stock to soar—all because the name of the company sounds like “Trump Wins Big” in Chinese. (Bloomberg $)

6. China denies it’s building a naval base in Cambodia. Satellite images show that it is. (New York Times $)

7. Claw-machine arcades are cropping up in Hong Kong—but it’s a result of the failing retail market and low demand for commercial property. (Nikkei Asia $)

Lost in translation

Morowali, a remote, agricultural community in Indonesia, has been transformed into a hub for heavy industry by the entrance of a Chinese company, according to the Chinese magazine Sanlian Lifeweek. Tsingshan Holding Group, a Chinese steel and nickel company, was instrumental in investing in and setting up the Indonesia Morowali Industrial Park (IMIP), where a rich local reserve of nickel ore is converted into high-purity nickel sulfate that’s essential for electric vehicle batteries. 

IMIP has created at least 100,000 jobs and contributed significantly to Indonesia’s economy, but it has also led to environmental and health challenges for local communities. Concerns about air and water pollution, garbage disposal, and worker safety have intensified following an explosion in 2023 that killed eight Chinese workers and 13 Indonesian workers. Now, local workers are organizing to sit down with management and push for changes in worker welfare.

One more thing

If you want a guaranteed sighting of a UFO, come to Shenzhen. Last week, a Chinese company tested an electric helicopter that looks just like a UFO. Flying at a low height and able to land on water, the vehicle is designed for transporting tourists and displaying ads in the future.

What’s next for SpaceX’s Falcon 9

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

SpaceX’s Falcon 9 is one of the world’s safest, most productive rockets. But now it’s been grounded: A rare engine malfunction on July 11 prompted the US Federal Aviation Administration to initiate an investigation and halt all Falcon 9 flights until further notice. The incident has exposed the risks of the US aerospace industry’s heavy reliance on the rocket. 

“The aerospace industry is very dependent on the Falcon 9,” says Jonathan McDowell, an astrophysicist at the Harvard-Smithsonian Center for Astrophysics who issues regular reports on space launches. He says the Falcon 9 and the closely related Falcon Heavy represented 83% of US launches in 2023. “There’s a lot of traffic that’s going to be backed up waiting for it to return to flight,” he adds.

During a SpaceX livestream, ice could be seen accumulating on the Falcon 9’s engine following its launch from California’s Vandenberg Space Force Base en route to releasing 20 Starlink satellites. According to SpaceX, this buildup of ice caused a liquid oxygen leak. Then part of the engine failed, and the rocket dropped several satellites into a lower orbit than intended, one in which they could readily fall back into Earth’s atmosphere. 

By July 12, an FAA press statement was circulating on X. The federal agency said it was aware of the malfunction and would require an investigation. “A return to flight is based on the FAA determining that any system, process, or procedure related to the mishap does not affect public safety,” said the statement.

SpaceX says it will cooperate with the investigation. “SpaceX will perform a full investigation in coordination with the FAA, determine root cause, and make corrective actions to ensure the success of future missions,” says a statement on the company’s website. Details about what the investigation will entail and how long it might take are unknown. In the meantime, SpaceX has requested to keep flying the Falcon 9 while the investigation takes place. “The FAA is reviewing the request and will be guided by safety at every step of the process,” said the agency in a statement. 

Nominal failure

The Falcon 9 has an unusually clean safety record. It’s been launched more than 300 times since its maiden voyage in 2010 and has rarely failed. In 2020, the rocket was the first to launch under NASA’s Commercial Crew Program, which was designed to build the US’s commercial capacity for taking people, including astronauts, into orbit. 

According to MIT aerospace engineer Paulo Lozano, part of the Falcon 9’s success is due to advances in rocket engines. Exactly how SpaceX incorporates these new technologies is unclear, and Lozano notes that SpaceX is quite secretive about the manufacturing process. But it is known that SpaceX uses additive manufacturing to build some engine components. This makes it possible to create parts with complex geometries (for example, hollow—and thus lighter-weight—turbine blades) that enhance performance. And, according to Lozano, artificial intelligence has made diagnosing engine health faster and more accurate. Parts of the rocket are also reusable, which keeps costs low.  

With such a successful track record, the Falcon 9 malfunction might seem surprising. But, Lozano says, anomalies are to be expected when it comes to rocket engines. That’s because they operate in harsh environments where they’re subjected to extreme temperatures and pressures. This makes it difficult for engineers to manufacture a rocket as reliable as a commercial airplane.

“These engines produce more power than small cities, and they work in stressful conditions,” says Lozano. “It’s very hard to contain them.” 

What exactly went wrong last week remains a mystery. Still, experts agree the event can’t be brushed off. “‘Oh, it was a fluke’ is not, in the modern space industry, an acceptable answer,” says McDowell. What he finds most surprising is that the malfunction didn’t occur in one of the reusable parts of the rocket (like the booster), but instead in a part known as the second stage, which SpaceX switches out each time the rocket launches. 

Stalled schedules

It remains unclear when the Falcon 9 will fly again. Several upcoming missions will likely be postponed, including the billionaire tech entrepreneur Jacob Isaacman’s Polaris Dawn, which would have been the first all-private mission to include a space walk. It’s possible NASA’s SpaceX Crew-9 mission to the International Space Station (ISS), planned for mid-August 2024, will also be delayed. 

Uncrewed missions will be affected too. One that stands out is the Europa Clipper mission, which is intended to explore Jupiter’s icy moon and assess its habitability. According to McDowell, the mission, which is planned for October 2024, will likely be delayed by the Falcon 9 grounding. That’s because there is a narrow time frame within which the satellite can be launched. (The mission is facing a technological hangup unrelated to the Falcon 9 that could also push back its launch.) 

The incident reveals a need for the US to explore alternatives to the Falcon 9. McDowell says the United Launch Alliance’s Atlas V rocket, accompanied by Boeing’s Starliner capsule, used to be the next best option for US-based crewed ISS missions. But the Atlas V is being phased out. It will be replaced by the ULA’s Vulcan Centaur, a partially reusable rocket that has made only one test flight so far. Plus, the Starliner capsule has serious issues that have left two NASA astronauts stuck at the ISS, potentially until August. 

Blue Origin’s reusable New Glenn rocket could be a competitor, but it hasn’t flown yet. The aerospace company says it hopes to launch the rocket before 2025. Blue Origin’s other reusable rocket, New Shepard, is not capable of flying into orbit. 

The Falcon 9 malfunction makes these projects all the more essential. “Even the Falcon 9 can have problems,” says McDowell. “It’s important to have multiple routes of access to space.” 

Companies need to stop taking the easy way out on climate goals

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

Corporate climate claims can be confusing—and sometimes entirely unintuitive. 

Tech giants Amazon and Google both recently released news about their efforts to clean up their climate impact. Both were a mixed bag, but one bit of news in particular made me prick up my ears. Google’s emissions have gone up, and the company stopped claiming to be “net zero” (we’ll dig into this term more in a moment). Sounds bad, right? But in fact, one might argue that Google’s apparent backslide might actually represent progress for climate action

My colleague James Temple dug into this news, along with the recent Amazon announcement, for a story this week. Let’s take a sneak peek at what he found and untangle why corporate climate efforts can be so tricky to wrap your head around. 

To make sense of these recent announcements, the most important phrase to understand is “net-zero emissions.” 

Companies produce greenhouse-gas emissions by making products, transporting them around, or just using electricity. Some corporate leaders may want to reduce those emissions so they can be a smaller part of the climate-change problem (or brag about their progress). Net-zero emissions refers to the point at which the emissions a company produces are canceled out by those it eliminates. But very different paths can all lead to that point. 

One way to get rid of emissions is to take actions to reduce them in your operations. Imagine, for example, Amazon replacing its delivery trucks with EVs or building solar panels on warehouses. 

This sort of direct action tends to be hard and expensive, and it’s probably impossible for any company to totally wipe out all its emissions right now, given that so much of our economy still relies on fossil fuels. So to reach net zero, many companies choose to disappear their emissions with math instead. 

A company might buy carbon credits or renewable-energy credits, essentially paying someone to make up for its own climate impact. That might mean giving a nonprofit money to plant some trees, which suck up and store carbon, or funneling funds to developers and claiming that more renewables projects will get built as a result. 

Not all credits are all bad—but often, carbon offsets and renewable-energy credits reflect big claims with little to back them up. And if companies are going after a net-zero label for their business, they may be incentivized to buy cheap credits, even if they don’t actually deliver on claims. 

As James puts it in his story, “Corporate sustainability officers often end up pursuing the quickest, cheapest ways of cleaning up a company’s pollution on paper, rather than the most reliable ways of reducing its emissions in the real world.”

This sort of issue is why I tend to be suspicious of companies that claim to have already achieved net-zero emissions or 100% renewable energy. Cleaning up emissions is hard, and if you’ve already claimed victory, I’d say the odds are good that you’re taking an easy way out. 

Which brings us to Google’s news. Google has claimed that its operations have operated with net-zero emissions since 2007. Now it’s not claiming that anymore—not really because it suddenly decided to take huge steps back in how it operates, but because it’s stopped buying carbon offsets on a massive scale. Instead, it’s focusing on investing in other ways to tackle emissions.

So what’s the next step for big companies looking to have a material impact on climate action? James has us covered again: In a 2022 story, he laid out six potential ways to rethink corporate climate goals. 

Instead of buying up credits, companies can instead put that money toward investing in permanent carbon removal. Developing more reliable methods of pulling climate pollution out of the atmosphere and locking it away might be more expensive, but investing in those efforts will help the market mature and support companies that need commitments. 

Companies can also contribute money to research and development for areas that are difficult to decarbonize—think aviation, shipping, steel, and cement. Those sectors touch basically every industry, so helping them make progress could be a worthy use of dollars. 

If there’s one takeaway in this tangle of news, I’d say that we could all ask more questions and dig a little deeper into claims from big corporations. Remember, if something sounds too good to be true, it probably is.  


Now read the rest of The Spark

Related reading

Read more about Big Tech climate action, including why Amazon’s renewable-energy claims might be more complicated than they appear at first glance, in James’s latest story.

And here’s his piece on six ways that we can rethink net-zero climate plans. 

For more on how the climate “solution” of carbon offsets might be adding millions of tons of carbon dioxide into the atmosphere, read this 2021 deep dive.  

KPOP4PLANET

Another thing

A small group of K-pop fans is working to clean up music streaming. Streaming can consume a lot of computing power, and all that energy used in data centers supporting it can mean big-time emissions.

A group called Kpop4planet put pressure on a streaming service to commit to using 100% renewables for its data centers by 2030. And the fans’ organizing paid off, because the service agreed. 

Read more about the power of K-pop fans in this latest story from my colleague Zeyi Yang

Keeping up with climate  

It’s been mixed news this year so far for the EV market in the US. Overall sales are up, but some automakers are seeing deliveries stall. Also notable: Tesla has historically dominated, but it just dropped below 50% of the market for the first time. (Inside Climate News)

New materials that help tackle humidity could make air-conditioning a lot more efficient. Several companies are trying to bring machines based on these desiccant materials to the market. (Wired)

→ I wrote last year about how these moisture-sucking materials could help us beat the heat. (MIT Technology Review)

Electric vehicles are associated with lower emissions over their lifetimes than gas-powered cars, but they don’t start out that way, largely because of the climate cost of building their batteries. This calculator estimates how far you need to drive for EVs to break even with gas vehicles. (PNAS)

Nuclear startup Commonwealth Fusion Systems is selling its high-tech magnets now. The company is still working toward flipping on its fusion reactor. (TechCrunch)

The near-term future of EVs might include gas tanks, since some automakers are building electric vehicles that include gas-powered generators. The difference between these and plug-in hybrids is subtle, but basically these would have simpler guts inside. They could help bring more drivers onto team electric. (Heatmap News)

San Francisco launched a new ferry that runs entirely on hydrogen fuel cells. It’s the first such commercial passenger ferry in the world. One challenge could be securing a reliable source of low-emissions hydrogen. (Canary Media)

File this under weird effects of climate change: Melting ice sheets are making days longer. Ice loss in Greenland and Antarctica makes the Earth wider, slowing the planet’s rotation. It’s only on the scale of about a millisecond per century, but it could be enough to throw off precise timekeeping. (The Guardian)

Rules around tax credits for hydrogen fuel were proposed to ensure that the money went to projects that help the climate. Now those rules seem to be in trouble. (Heatmap News)

Here’s the problem with new plastic recycling methods

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

Look on the bottom of a plastic water bottle or takeout container, and you might find a logo there made up of three arrows forming a closed loop shaped like a triangle. Sometimes called the chasing arrows, this stamp is used on packaging to suggest it’s recyclable. 

Those little arrows imply a nice story, painting a picture of a world where the material will be recycled into a new bottle or some such product, maybe forming an endless loop of reuse. But the reality of plastics recycling today doesn’t match up to that idea. Only about 10% of the plastic ever made has been recycled; the vast majority winds up in landfills or in the environment. 

Researchers have been working to address the problem by coming up with new recycling methods, sometimes called advanced, or chemical, recycling. My colleague Sarah Ward recently wrote about one new study where researchers used a chemical process to recycle mixed-fiber clothing containing polyester, a common plastic. 

The story shows why these new technologies are so appealing in theory, and just how far we would need to go for them to fix the massive problem we’ve created. 

One major challenge for traditional recycling is that it requires careful sorting. That’s possible (if difficult) for some situations—humans or machines can separate milk jugs from soda bottles from takeout containers. But when it comes to other products, it becomes nearly impossible to sort out their components. 

Take clothing, for instance. Less than 1% of clothing is recycled, and part of the reason is that much of it is a mixture of different materials, often including synthetic fibers as well as natural ones. You might be wearing a shirt made of a cotton-polyester blend right now, and your swimsuit probably contains nylon and elastane. My current crochet project uses yarn that’s a blend of wool and acrylic. 

It’s impossible to manually or mechanically pick out the different materials in a fabric the way you can by sorting your kitchen recycling, so researchers are exploring new methods using chemistry. 

In the study Sarah wrote about, scientists demonstrated a process that can recycle a fabric made from a blend of cotton and polyester. It uses a solvent to break the chemical bonds in polyester in around 15 minutes, leaving other materials mostly intact. 

If this could work quickly and at large scale, it might someday allow facilities to dissolve polyester from blended textiles, separating it from other fibers and in theory allowing each component to be reused in future products. 

But there are a few challenges with this process that I see a lot in recycling methods. First, reaching a large industrial scale would be difficult—as one researcher that Sarah spoke to pointed out, the solvent used in the process is expensive and tough to recover after it’s used.  

Recycling methods also often wind up degrading the product in some way, a tricky problem to solve. This is a major drawback to traditional mechanical recycling as well—often, recycled plastic isn’t quite as strong or durable as the fresh stuff. In the case of this study, the problem isn’t actually with the plastic, but with the other materials that researchers are trying to preserve.

The beginning of the textile recycling process involves shredding the clothing into fine pieces to allow the chemicals to seep in and do their work breaking down the plastic. That chops up the cotton fibers too, rendering them too short to be spun into new yarn. So instead of a new T-shirt, the cotton from this process might be broken down and used as something else, like biofuel. 

There’s potential for future improvement—the researchers tried to change up their method to disassemble the fabrics in a way that would preserve longer cotton fibers, but the reported research suggests it doesn’t work well with the chemical process so far. 

This story got me thinking about a recent feature from ProPublica, where Lisa Song took a look at the reality of commercial advanced recycling today. She focused on pyrolysis, which uses heat to break down plastic into its building blocks. As she outlines in the story, while the industry pitches these new methods as a solution to our plastics crisis, the reality of the technology today is far from the ideal we imagine. 

Most new recycling methods are still in development, and it’s really difficult to recover useful materials at high rates in a way that makes it possible to use them again. Doing all that at a scale large enough to even make a dent in our plastics problem is a massive challenge. 

Just something to keep in mind the next time you see those little arrows. 


Now read the rest of The Spark

Related reading

Read Sarah’s full story on efforts to recycle mixed textiles here

I wrote about several other efforts to recycle mixtures of plastic using chemistry in this piece from 2022

For a full account on the state of the hard problem that is the plastics crisis, check out this feature story

Keeping up with climate  

The world has been 1.5 °C hotter than preindustrial temperatures for each of the last 12 months, according to new data. We still haven’t technically passed the 1.5 °C limit set out by international climate treaties, since those consider the average temperature over many years. (The Guardian)

Google has stopped claiming to be carbon neutral, ceasing purchases of carbon offsets to balance its emissions. The company says the plan is to reach net-zero emissions by 2030, though its emissions are actually up by nearly 50% since 2019. (Bloomberg)

Big tech companies are expecting emissions to tick up in part because of the explosion of AI, which is an energy hog. (MIT Technology Review)

A small school district in Nebraska got an electric bus, paid for by federal funding. The vehicle quickly became a symbol for the cultural tensions brought on by shifting technology. (New York Times)

Hurricane Beryl hit the Texas coast this week and did damage across the Caribbean and the Gulf of Mexico. While meteorologists had a good idea of where it would go, better forecasting hasn’t stopped hurricane damage from increasing. (E&E News)

→ Here’s what we know about hurricanes and climate change. (MIT Technology Review)

Earlier this year, the Indian government stopped a popular EV subsidy. Some in the industry say that short-lived subsidies can hamper the growth of electrification. (Rest of World)

The US is about to get its first solar-covered canal. Covering the Arizona waterway with solar panels will provide a new low-emissions energy source on tribal land. (Canary Media)

Electricity prices in the US are up almost 20% since early 2021. But some states that have built the most clean energy have lower rate increases overall. (Latitude Media)

AI is poised to automate today’s most mundane manual warehouse task

Before almost any item reaches your door, it traverses the global supply chain on a pallet. More than 2 billion pallets are in circulation in the United States alone, and $400 billion worth of goods are exported on them annually. However, loading boxes onto these pallets is a task stuck in the past: Heavy loads and repetitive movements leave workers at high risk of injury, and in the rare instances when robots are used, they take months to program using handheld computers that have changed little since the 1980s.

Jacobi Robotics, a startup spun out of the labs of the University of California, Berkeley, says it can vastly speed up that process with AI command-and-control software. The researchers approached palletizing—one of the most common warehouse tasks—as primarily an issue of motion planning: How do you safely get a robotic arm to pick up boxes of different shapes and stack them efficiently on a pallet without getting stuck? And all that computation also has to be fast, because factory lines are producing more varieties of products than ever before—which means boxes of more shapes and sizes.

After much trial and error, Jacobi’s founders, including roboticist Ken Goldberg, say they’ve cracked it. Their software, built upon research from a paper they published in Science Robotics in 2020, is designed to work with the four leading makers of robotic palletizing arms. It uses deep learning to generate a “first draft” of how an arm might move an item onto the pallet. Then it uses more traditional robotics methods, like optimization, to check whether the movement can be done safely and without glitches. 

Jacobi aims to replace the legacy methods customers are currently using to train their bots. In the conventional approach, robots are programmed using tools called “teaching pendants,” and customers usually have to manually guide the robot to demonstrate how to pick up each individual box and place it on the pallet. The entire coding process can take months. Jacobi says its AI-driven solution promises to cut that time down to a day and can compute motions in less than a millisecond. The company says it plans to launch its product later this month.

Billions of dollars are being poured into AI-powered robotics, but most of the excitement is geared toward next-generation robots that promise to be capable of many different tasks—like the humanoid robot that has helped Figure raise $675 million from investors, including Microsoft and OpenAI, and reach a $2.6 billion evaluation in February. Against this backdrop, using AI to train a better box-stacking robot might feel pretty basic. 

Indeed, Jacobi’s seed funding round is trivial in comparison: $5 million led by Moxxie Ventures. But amid hype around promised robotics breakthroughs that could take years to materialize, palletizing might be the warehouse problem AI is best poised to solve in the short term. 

“We have a very pragmatic approach,” says Max Cao, Jacobi’s co-founder and CEO. “These tasks are within reach, and we can get a lot of adoption within a short time frame, versus some of the moonshots out there.”

Jacobi’s software product includes a virtual studio where customers can build replicas of their setups, capturing factors like which robot models they have, what types of boxes will come off the conveyor belt, and which direction the labels should face. A warehouse moving sporting goods, say, might use the program to figure out the best way to stack a mixed pallet of tennis balls, rackets, and apparel. Then Jacobi’s algorithms will automatically plan the many movements the robotic arm should take to stack the pallet, and the instructions will be transmitted to the robot.

JACOBI ROBOTICS

The approach merges the benefits of fast computing provided by AI with the accuracy of more traditional robotics techniques, says Dmitry Berenson, a professor of robotics at the University of Michigan, who is not involved with the company.

“They’re doing something very reasonable here,” he says. A lot of modern robotics research is betting big on AI, hoping that deep learning can augment or replace more manual training by having the robot learn from past examples of a given motion or task. But by making sure the predictions generated by deep learning are checked against the results of more traditional methods, Jacobi is developing planning algorithms that will likely be less prone to error, Berenson says.

The planning speed that could result “is pushing this into a new category,” he adds. “You won’t even notice the time it takes to compute a motion. That’s really important in the industrial setting, where every pause means delays.”

IVF alone can’t save us from a looming fertility crisis

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. 

I’ve just learned that July 11 is World Population Day. There are over 8 billion of us on the planet, and there’ll probably be 8.5 billion of us by 2030. We’re continually warned about the perils of overpopulation and the impact we humans are having on our planet. So it seems a bit counterintuitive to worry that, actually, we’re not reproducing enough.

But plenty of scientists are incredibly worried about just that. Improvements in health care and sanitation are helping us all lead longer lives. But we’re not having enough children to support us as we age. Fertility rates are falling in almost every country.

But wait! We have technologies to solve this problem! IVF is helping to bring more children into the world than ever, and it can help compensate for the fertility problems faced by older parents! Unfortunately, things aren’t quite so simple. Research suggests that these technologies can only take us so far. If we want to make real progress, we also need to work on gender equality.

Researchers tend to look at fertility in terms of how many children the average woman has in her lifetime. To maintain a stable population, this figure, known as the total fertility rate (TFR), needs to be around 2.1.

But this figure has been falling over the last 50 years. In Europe, for example, women born in 1939 had a TFR of 2.3—but the figure has dropped to 1.7 for women born in 1981 (who are 42 or 43 years old by now). “We can summarize [the last 50 years] in three words: ‘declining,’ ‘late,’ and ‘childlessness,’” Gianpiero Dalla Zuanna, a professor of demography at the University of Padua in Italy, told an audience at the annual meeting of the European Society of Human Reproduction and Embryology earlier this week.

There are a lot of reasons behind this decline. Around one in six people is affected by infertility, and globally, many people aren’t having as many children as they would like. On the other hand, more people are choosing to live child-free. Others are delaying starting a family, perhaps because they face soaring living costs and have been unable to afford their own homes. Some hesitate to have children because they are concerned about the future. With the ongoing threat of global wars and climate change, who can blame them? 

There are financial as well as social consequences to this fertility crisis. We’re already seeing fewer young people supporting a greater number of older ones. And it’s not sustainable.

“Europe today has 10% of the population, 20% of gross domestic product, and 50% of the welfare expense of the world,” Dalla Zuanna said at the meeting. Twenty years from now, there will be 20% fewer people of reproductive age than there are today, he warned.

It’s not just Europe that will be affected. The global TFR in 2021 was 2.2—less than half the figure in 1950, when it was 4.8. By one recent estimate, the global fertility rate is declining at a rate of 1.1% per year. Some countries are facing especially steep declines: In 2021, the TFR in South Korea was just 0.8—well below the 2.1 needed to maintain the population. If this decline continues, we can expect the global TFR to hit 1.83 by 2050 and 1.59 by 2100.

So what’s the solution? Fertility technologies like IVF and egg freezing have been touted as one potential remedy. More people than ever are using these technologies to conceive. An IVF baby is born somewhere in the world every 35 seconds. And IVF can indeed help us overcome some fertility issues, including those that can arise for people starting a family after the age of 35. IVF is already involved in 5% to 10% of births in high-income countries. “IVF has got to be our solution, you would think,” said Georgina Chambers, who directs the National Perinatal Epidemiology and Statistics Unit at UNSW Sydney in Australia, in another talk at ESHRE.

Unfortunately, technology is unlikely to solve the fertility crisis anytime soon, as Chambers’s own research shows. A handful of studies suggest that the use of assisted reproductive technologies (ART) can only increase the total fertility rate of a country by around 1% to 5%. The US sits at the lower end of this scale—it is estimated that in 2020, the use of ART increased the fertility rate by about 1.3%. In Australia, however, ART boosted the fertility rate by 5%.

Why the difference? It all comes down to accessibility. IVF can be prohibitively expensive in the US—without insurance covering the cost, a single IVF cycle can cost around half a person’s annual disposable income. Compare that to Australia, where would-be parents get plenty of government support, and an IVF cycle costs just 6% of the average annual disposable income.

In another study, Chambers and her colleagues have found that ART can help restore fertility to some extent in women who try to have children later in life. It’s difficult to be precise here, because it’s hard to tell whether some of the births that followed IVF would have happened eventually without the technology.

Either way, IVF and other fertility technologies are not a cure-all. And overselling them as such risks encouraging people to further delay starting a family, says Chambers. There are other ways to address the fertility crisis.

Dalla Zuanna and his colleague Maria Castiglioni believe that countries with low fertility rates, like their home country Italy, need to boost the number of people of reproductive age. “The only possibility [of achieving this] in the next 20 years is to increase immigration,” Castiglioni told an audience at ESHRE.

Several countries have used “pronatalist” policies to encourage people to have children. Some involve financial incentives: Families in Japan are eligible for one-off payments and monthly allowances for each child,as part of a scheme that was recently extended. Australia has implemented a similar “baby bonus.”

“These don’t work,” Chambers said. “They can affect the timing and spacing of births, but they are short-lived. And they are coercive: They negatively affect gender equity and reproductive and sexual rights.”

But family-friendly policies can work. In the past, the fall in fertility rates was linked to women’s increasing participation in the workforce. That’s not the case anymore. Today, higher female employment rates are linked to higher fertility rates, according to Chambers. “Fertility rises when women combine work and family life on an equal footing with men,” she said at the meeting. Gender equality, along with policies that support access to child care and parental leave, can have a much bigger impact.

These policies won’t solve all our problems. But we need to acknowledge that technology alone won’t solve the fertility crisis. And if the solution involves improving gender equality, surely that’s a win-win.


Now read the rest of The Checkup

Read more from MIT Technology Review’s archive:

My colleague Antonio Regalado discussed how reproductive technology might affect population decline with Martin Varsavsky, director of the Prelude Fertility network of clinics, in a roundtable on the future of families earlier this year.

There are new fertility technologies on the horizon. I wrote about the race to generate lab-grown sperm and eggs from adult skin cells, for example. Scientists have already created artificial eggs and sperm from mouse cells and used them to create mouse pups. Artificial human sex cells are next.

Advances like these could transform the way we understand parenthood. Some researchers believe we’re not far being able to create babies with multiple genetic parents or none at all, as I wrote in a previous edition of The Checkup.

Elizabeth Carr was America’s first IVF baby when she was born in 1981. Now she works at a company that offers genetic tests for embryos, enabling parents to choose those with the highest health scores.

Some people are already concerned about maintaining human populations beyond planet Earth. The Dutch entrepreneur Egbert Edelbroek wants to try IVF in space. “Humanity needs a backup plan,” he told Scott Solomon in October last year. “If you want to be a sustainable species, you want to be a multiplanetary species.”

We have another roundtable discussion coming up with Antonio later this month. You can join him for a discussion about CRISPR and the future of gene editing. “CRISPR Babies: Six years later” takes place on Thursday, July 25, and is a subscriber-only online event. You can register for free.

From around the web

When a Bitcoin mining facility moved into the Granbury area in Texas, local residents started complaining of strange new health problems. They believe the noisy facility might be linked to their migraines, panic attacks, heart palpitations, chest pain, and hypertension. (Time)

In the spring of 1997, 20 volunteers agreed to share their DNA for the Human Genome Project, an ambitious effort to publish a reference human genome. They were told researchers expected that “no more than 10% of the eventual DNA sequence will have been obtained from [each person’s] DNA.” But when the draft was published in 2001, nearly 75% of it came from just one person. Ashley Smart reports on the ethical questions surrounding the project. (Undark)

How can you make cultured meat taste more like the real thing? Scientists have developed “flavor scaffolds” that can release a meaty taste when cultured meat is cooked. The resulting product looks like a meaty pink jelly. Bon appétit! (Nature)

Doctors can continue their medical education by taking courses throughout their careers. Some of these are funded by big tobacco companies. They really shouldn’t be, argue these doctors from Stanford and the University of California. (JAMA)

“Skin care = brain care”? Maybe, if you believe the people behind the burgeoning industry of neurocosmetics. (The Atlantic)