Ice Lounge Media

Ice Lounge Media

Google DeepMind has developed a tool for identifying AI-generated text and is making it available open source. 

The tool, called SynthID, is part of a larger family of watermarking tools for generative AI outputs. The company unveiled a watermark for images last year, and it has since rolled out one for AI-generated video. In May, Google announced it was applying SynthID in its Gemini app and online chatbots and made it freely available on Hugging Face, an open repository of AI data sets and models. Watermarks have emerged as an important tool to help people determine when something is AI generated, which could help counter harms such as misinformation. 

“Now, other [generative] AI developers will be able to use this technology to help them detect whether text outputs have come from their own [large language models], making it easier for more developers to build AI responsibly,” says Pushmeet Kohli, the vice president of research at Google DeepMind. 

SynthID works by adding an invisible watermark directly into the text when it is generated by an AI model. 

Large language models work by breaking down language into “tokens” and then predicting which token is most likely to follow the other. Tokens can be a single character, word, or part of a phrase, and each one gets a percentage score for how likely it is to be the appropriate next word in a sentence. The higher the percentage, the more likely the model is going to use it. 

SynthID introduces additional information at the point of generation by changing the probability that tokens will be generated, explains Kohli. 

To detect the watermark and determine whether text has been generated by an AI tool, SynthID compares the expected probability scores for words in watermarked and unwatermarked text. 

Google DeepMind found that using the SynthID watermark did not compromise the quality, accuracy, creativity, or speed of generated text. That conclusion was drawn from a massive live experiment of SynthID’s performance after the watermark was deployed in its Gemini products and used by millions of people. Gemini allows users to rank the quality of the AI model’s responses with a thumbs-up or a thumbs-down. 

Kohli and his team analyzed the scores for around 20 million watermarked and unwatermarked chatbot responses. They found that users did not notice a difference in quality and usefulness between the two. The results of this experiment are detailed in a paper published in Nature today. Currently SynthID for text only works on content generated by Google’s models, but the hope is that open-sourcing it will expand the range of tools it’s compatible with. 

SynthID does have other limitations. The watermark was resistant to some tampering, such as cropping text and light editing or rewriting, but it was less reliable when AI-generated text had been rewritten or translated from one language into another. It is also less reliable in responses to prompts asking for factual information, such as the capital city of France. This is because there are fewer opportunities to adjust the likelihood of the next possible word in a sentence without changing facts. 

“Achieving reliable and imperceptible watermarking of AI-generated text is fundamentally challenging, especially in scenarios where LLM outputs are near deterministic, such as factual questions or code generation tasks,” says Soheil Feizi, an associate professor at the University of Maryland, who has studied the vulnerabilities of AI watermarking.  

Feizi says Google DeepMind’s decision to open-source its watermarking method is a positive step for the AI community. “It allows the community to test these detectors and evaluate their robustness in different settings, helping to better understand the limitations of these techniques,” he adds. 

There is another benefit too, says João Gante, a machine-learning engineer at Hugging Face. Open-sourcing the tool means anyone can grab the code and incorporate watermarking into their model with no strings attached, Gante says. This will improve the watermark’s privacy, as only the owner will know its cryptographic secrets. 

“With better accessibility and the ability to confirm its capabilities, I want to believe that watermarking will become the standard, which should help us detect malicious use of language models,” Gante says. 

But watermarks are not an all-purpose solution, says Irene Solaiman, Hugging Face’s head of global policy. 

“Watermarking is one aspect of safer models in an ecosystem that needs many complementing safeguards. As a parallel, even for human-generated content, fact-checking has varying effectiveness,” she says. 

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In his quest to understand the hermit crab housing market, biologist Mark Laidre of Dartmouth College had to get creative. Crabs are always looking to move into a bigger, better shell, but having really nice digs also comes with risks. Sometimes crabs gang up to pull an inhabitant out of an especially desirable shell. If they succeed, the shell is quickly claimed by the largest gang member, leaving another open shell for a slightly smaller crab to grab, and on down the chain until everyone has upgraded. 

To better gauge the trade-offs between shell size and defensibility, Laidre collaborated with an engineer to create the hermit crab eviction machine, a device that holds onto an occupied shell and measures how much force it takes a scientist to pull the crab out (crabs are not harmed or left homeless). It’s essentially a portable load cell that can survive the sun, sand, and humidity of the field. 

The force required to evict a hermit crab is an important measurement, because hanging on to their homes is a matter of life and death for crabs. “If you are evicted, there’s a real strong probability that what is left at the end of one of those chains is something that’s too small for you to even enter,” Laidre says. In his field area on a beach in Costa Rica, a homeless crab can quickly succumb to predators or heat: “You’re really dead meat in a sense.”

Studying the minds of other animals comes with a challenge that human psychologists don’t usually face: Your subjects can’t tell you what they’re thinking. To get answers from animals, scientists need to come up with creative experiments to learn why they behave the way they do. Sometimes this requires designing and building experimental equipment from scratch.

The DIY contraptions that animal behavior scientists create range from ingeniously simple to incredibly complex. All of them are tailored to help answer questions about the lives and minds of specific species, from insects to elephants. Do honeybees need a good night’s sleep? What do jumping spiders find sexy? Do falcons like puzzles? For queries like these, off-the-shelf gear simply won’t do.

The eviction machine was inspired by Laidre’s curiosity about crabs. But sometimes new questions about animals are inspired by an intriguing device or technology, as was the case with another of Laidre’s inventions: the hermit crab escape room (more on that below). The key, Laidre says, is to be sure the question you’re asking is relevant to the animals’ lives.

Here are five more contraptions custom-built by scientists to help them understand the lives and minds of the animals they study. 

OLY DEMPSTER

The falcon innovation box

The brainy birds in the parrot and crow families are the stars of scientific studies on avian intelligence. Now these smarties have a surprising new rival: a falcon. Raptors are not known for creative problem-solving, but behavioral ecologist Katie Harrington of the University of Veterinary Medicine Vienna suspected the striated caracara falcons she had observed on a remote Falkland Island were different. “They’re really interested in investigating things,” she says. “They’re very intelligent birds in general.”

diagram of the falcon experiment

HARRINGTON, ET AL.

To test their smarts, Harrington took inspiration from an “innovation arena” (left), designed for Goffin’s cockatoos, which are members of the parrot family known for their problem-solving abilities. It’s a semicircular array of 20 clear plastic boxes containing puzzles requiring different solutions to release rewards like cashews or corn kernels. Hauling the seven-foot-wide arena to the Falklands was not an option. So Harrington designed a 16-inch-wide “innovation box” attached to a wooden board, with eight compartments and puzzles adapted from the cockatoo studies. 

The birds loved it. “We were having caracaras run full speed to participate,” Harrington says. The challenge was keeping other birds away while one worked the box. The birds were able to solve the puzzles, which involved things like rattling a plank to knock down a bit of mutton or pulling a twig out from under a platform with mutton on it. They were even able to solve a tricky one that required them to punch a hole in a piece of tissue that obscured the treata task that eluded some cockatoos. 

In fact, 10 of 15 falcons solved all the puzzles, most of them within two sessions with the box. So Harrington designed eight new, harder tasks, but soon learned that some required unnatural movements for caracaras. She plans to keep trying to find tasks that reveal what they’re physically and mentally capable of. “They’re totally willing to show us,” she says, “as long as we can design things that are good enough to allow them to show us.”

The raccoon smart box

Why are raccoons so good at city living? One theory is that it’s because they’re flexible thinkers. To test this idea, UC Berkeley cognitive ecologist Lauren Stanton adapted a classic laboratory experiment, called the reversal learning task. For this test, an animal is rewarded for learning to consistently choose one of two options, but then the correct answer is reversed so that the other option brings the reward. Flexible thinkers are better at reacting to the reversals. “They’re going to be more able to switch their choices, and over time, they should be faster,” Stanton says.

To test the learning skills of wild urban raccoons in Laramie, Wyoming, Stanton and her team built a set of “smart boxes” to deploy on the outskirts of the city, each with an antenna to identify raccoons that had previously been captured and microchipped. Inside the box, raccoons found two large buttonssourced from an arcade supplierthat they could push, one of which delivered a reward. Hidden in a separate compartment, an inexpensive Raspberry Pi computer board, powered by a motorcycle battery, recorded which buttons the raccoons pushed and switched the reward button as soon as they made nine out of 10 correct choices. A motor turned a disc with holes in it below a funnel to dispense the reward of dog kibble. 

Many raccoonsand some skunkswere surprisingly eager to participate, which made getting clean data a challenge. “We had multiple raccoons just shove inside the device at the same time, like, three, four animals all trying to compete to get into it,” Stanton says. She also had to employ stronger adhesive to hold the buttons on after a few particularly enthusiastic raccoons ripped them off. (She had placed some kibble inside the transparent buttons to encourage the animals to push them.) 

Surprisingly, the smart boxes revealed that the shyer, more docile raccoons were the best learners. 

The jumping spider eye tracker

The thing about jumping spiders that intrigues behavioral ecologist Elizabeth Jakob is their demeanor. “They look so curious all the time,” she says. Unlike other arachnids, which spend most of their time motionless in their web, jumping spiders are out and about, hunting prey and courting mates. Jakob is interested in what goes on inside their sesame-seed-size brains. What matters to these tiny spiders? 

BARRETT KLEIN

For clues, Jakob watches their eyes, particularly their two principal ones, which have high-acuity color vision at the center of their boomerang-­shaped retinas. She uses a tool evolved from an ophthalmoscope that was specially modified to study the eyes of jumping spiders more than a half-century ago. Generations of scientists, including Jakob and her students at UMass Amherst, have built on this design, slowly morphing it into a mini movie theater that tracks the retinal tubes moving and twisting behind the spiders’ principal eyes as they watch. 

A spider is tethered in front of the tracker while a video of, say, a cricket silhouette is projected through the tracker’s lenses into the spider’s eyes. A beam of infrared light is simultaneously reflected off the spider’s retinas, back through the lenses, and recorded by a camera. The recording of those reflections is then superimposed on the video, showing exactly what the spider was looking at. Jakob found that just about the only thing more interesting to a jumping spider than a potential cricket dinner is a black spot that is growing larger. Could it be an approaching predator? The spider’s lower-resolution secondary eyes catch a glimpse of the looming spot in the corner of the video screen and prompt the primary eyes to shift away from the cricket to get a better look. 

Jakob’s eye tracker has also inspired other scientists’ creative experiments. Visual ecologist Nate Morehouse of the University of Cincinnati used the tracker to reveal that females of one jumping spider species aren’t all that interested in male suitors’ flashy red masks and brilliant green legsit’s the males’ orange knees that they focus on during courtship displays. “To get this insight into what they actually care about is really cool,” Jakob says.

The hermit crab escape room

Hermit crabs won’t just settle for the best empty snail shell they can findthey also remodel their homes. Hermit crab shells get better with time as each subsequent inhabitant makes home improvements, like widening the entranceway or carving out a more open, spacious interior. 

Dartmouth’s Mark Laidre has been studying crabs and their shell preferences for more than a decade. So when he realized he could use a micro-CT x-ray machine to create a three-­dimensional digital scan of a shell, he immediately began envisioning the experimental possibilities. To better understand the choices crabs make, he scanned shells that crabs clearly favored and then made alterations before 3D-printing them in plastic. “We could add little elements onto those that changed the external or the internal architecture,” Laidre says.

Next, he presented crabs with a dilemma. They were placed alone inside a box with a small exit (as shown below) and given a choice between two shells: a really nice, spacious model but with spikes added to the outside so that the crabs would not fit through the exit, and a shell that they would fit through but with uncomfortable spiny protrusions added to the inside. Could they figure out how to get out? “It’s effectively an escape room,” Laidre says.

When not trapped, crabs preferred the comfy shell with protrusions on the outside, claws down. But hermit crabs are social animals that prefer to be with other crabs, giving them motivation to escape solitary confinement. By the end of the day, more than a third of the trapped crabs had sized up their situation, moved from the crummy shell, and escaped. 

Solving a completely novel problem takes a certain amount of mental wherewithal that crabs don’t often get credit for. And Laidre suspects that cognitive capability may be what separated the successful escapees from the crabs that didn’t make it out of the escape room. 

The bee insominator

Sleepy people tend to be poor communicators. Entomologist Barrett Klein of the University of Wisconsin–La Crosse wanted to know if the same was true for drowsy honeybees. These social insects have a sophisticated communication system, known as the waggle dance, to convey to other bees where to find nectar. Are tired bees worse wagglers? To find out, Klein needed a way to keep bees up all night.

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A metal disc attached to the back of a bee, seen on the right side of the photo, is painted yellow to hide whether it is made of steel that will be jostled by the magnets to keep her awake, or copper that won’t react to the magnets.
BARRETT KLEIN

He thought of shaking the hive, but this would just send all the bees angrily flying out. He wanted to keep some bees from sleeping while the rest slumbered peacefully, so that their dances could be compared the next day. Klein considered putting individual bees in vials that would be periodically shaken, but he couldn’t be sure if changes in their dance were due to sleepiness or isolation. He also thought of poking bees, aiming streams of air at individual bees, or even shining focused infrared beams at their faces. “Try to do that on all these bees facing all different directions,” Klein said. “It would be insane.” 

Eventually he landed on using neodymium rare earth magnets to jostle bees that had metal wafers glued between their wings with pine resin. “I had to make a hive that was narrow, with only two-millimeter-thick glass on either side, and have the magnets very close but not touching or scraping the glass,” Klein says. The biggest catch with this contraptiondubbed the Insominatorwas that Klein had to stay up all night rolling the banks of magnets back and forth alongside the hive three times a minute, depriving himself of sleep along with the bees.

But it paid off: He found that sleepy bees are indeed sloppy dancers. They did shorter dances that were less accurate with directiona miscommunication that could send hivemates on a flowerless search. In a follow-up study, Klein showed that other bees were not impressed with the drowsy displays and would promptly leave to find better wagglers. 

Happily, he has since upgraded the Insominator to automatically roll the magnets.

Betsy Mason is a freelance science journalist and editor based in the San Francisco Bay Area.

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

Introducing: the Food issue

What are we going to eat? It is the eternal question. We humans have been asking ourselves this for as long as we have been human. The question itself can be tedious, exciting, urgent, or desperate, depending on who is asking and where. There are many parts of the world where there is no answer. 

Even when hunger isn’t an acute issue, it can remain a persistently chronic one. Some 2.3 billion people around the world suffer from food insecurity, according to the World Health Organization. In the United States alone, the USDA has found that more than 47 million people live in food-insecure households. 

This issue is all about food and how we can use technology—high and low tech—to feed more people. Here’s a sneak peek at just some of what you can expect:

+ This issue’s cover feature explores the thorny issue of herbicide-resistant weeds: a problem which is just, well, growing.

+ Researchers, farmers, and global agricultural institutions in Africa are tackling hunger by reviving nearly forgotten indigenous crops. But as is the case with many such initiatives, a lot hinges on sufficient investment and attention.

+ If we are ever to spend any time on Mars, we’re going to need to grow our own food there. But while the soil is poisonous, efforts to make it arable could not only help us bring life to Mars—it could also help support life here on Earth.

+ Would you eat food that originates from carbon-hungry bacteria munching on greenhouse gases? These startups are betting that you will.

The must-reads

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

1 Chipmaker Arm has scrapped its longtime license with Qualcomm
It’s an escalation of a legal intellectual property dispute that started in 2022. (Bloomberg $)
+ The companies have been exchanging barbs in the press for quite some time. (FT $)
+ What’s next in chips. (MIT Technology Review)

2 A Kamala Harris victory won’t reverse the effects of Dobbs
14 states have been left with essentially no abortion care. (The Atlantic $)
+ The American left could shift to the right if she loses. (Vox)

3 Anthropic’s new AI models can control your computer
Its Computer Use feature gives Claude the power to complete actions on your behalf. (FT $)
+ It’s a step towards more capable AI agents. (Tech Crunch)
+ What are AI agents? (MIT Technology Review)

4 The producers of Blade Runner 2049 are suing Elon Musk
Tesla’s robotaxi event used an AI image that was too close to their movie for their liking. (WP $)
+ Things aren’t looking too good for Tesla’s profits right now. (Bloomberg $)
+ Actor Joseph Gordon-Levitt is no fan of AI in the movie business. (WSJ $)

5 How the US is bracing itself for foreign election interference
Intelligence officials are convinced more spies than ever are getting involved. (New Yorker $)
+ AI’s impact on elections is being overblown. (MIT Technology Review)

6 Meta has banned accounts dedicated to tracking celebrity jets
Including planes used by Mark Zuckerberg and Jeff Bezos. (WSJ $)
+ The company’s obsession with bots is becoming extremely annoying. (NY Mag $)

7 An Amazon sofa can be yours for just $20
In a planet-destroying bid to compete with China’s e-retail giants. (The Information $)

8 Space Force has started assembling its next Vulcan rocket
It’s destined to launch the Pentagon’s most precious national security satellites. (Ars Technica)

9 Fall is falling victim to AI slop 🍁
I dunno man, the vibes are off with some of these images. (Vox)
+ This robot is peddling its art at prestigious auction house Sotheby’s. (Vice)
+ Adobe wants to make it easier for artists to blacklist their work from AI scraping. (MIT Technology Review)

10 Recent extreme weather events have birthed a wave of hurricane grifters
They’re riding out storms for the #content. (CNN)

Quote of the day

 “It’s never been worse.” 

—Journalist Bill Adair explains how disinformation is escalating in the run up to the US Presidential election to the New York Times.

The big story

The cost of building the perfect wave

June 2024

For nearly as long as surfing has existed, surfers have been obsessed with the search for the perfect wave. 

While this hunt has taken surfers from tropical coastlines to icebergs, these days that search may take place closer to home. That is, at least, the vision presented by developers and boosters in the growing industry of surf pools, spurred by advances in wave-­generating technology that have finally created artificial waves surfers actually want to ride.

But there’s a problem: some of these pools are in drought-ridden areas, and face fierce local opposition. At the core of these fights is a question that’s also at the heart of the sport: What is the cost of finding, or now creating, the perfect wave—and who will have to bear it? Read the full story.

—Eileen Guo

We can still have nice things

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

+ Waste not, want not: how to use every part of this year’s Halloween pumpkin 🎃
+ We love these Hawaiian tree snails.
+ These pastry-sized apple pies are pocket-sized and delicious, who could ask for more?
+ Mirrors are pretty spooky, if you really think about it. 🪞

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There’s no denying that the AI industry moves fast. Each week brings a bold new announcement, product release, or lofty claim that pushes the bounds of what we previously thought was possible. Separating AI fact from hyped-up fiction isn’t always easy. That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry.

Our first index is a white-knuckle ride that ranges from the outright depressing—rising numbers of sexually explicit deepfakes; the complete lack of rules governing Elon Musk’s Grok AI model—to the bizarre, including AI-powered dating wingmen and startup Friend’s dorky intelligent-jewelry line. 

But it’s not all a horror show—at least not entirely. AI is being used for more wholesome endeavors, too, like simulating the classic video game Doom without a traditional gaming engine. Elsewhere, AI models have gotten so good at table tennis they can now beat beginner-level human opponents. They’re also giving us essential insight into the secret names monkeys use to communicate with one another. Because while AI may be a lot of things, it’s never boring. 

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Under a slice-of-heaven sky, 150 acres of rolling green hills stretch off into the distance. About a dozen people—tree enthusiasts, conservationists, research biologists, biotech entrepreneurs, and a venture capitalist in long socks and a floppy hat—have driven to this rural spot in New York state on a perfect late-July day. 

We are here to see more than 2,500 transgenic chestnut seedlings at a seed farm belonging to American Castanea, a new biotech startup. The sprouts, no higher than our knees, are samples of likely the first genetically modified trees to be considered for federal regulatory approval as a tool for ecological restoration. American Castanea’s founders, and all the others here today, hope that the American chestnut (Castanea dentata) will be the first tree species ever brought back from functional extinction—but, ideally, not the last.

Living as long as a thousand years, the American chestnut tree once dominated parts of the Eastern forest canopy, with many Native American nations relying on them for food. But by 1950, the tree had largely succumbed to a fungal blight probably introduced by Japanese chestnuts. “Now after hard work, great ideas, and decades of innovation, we have a tree and a science platform designed to make restoration possible,” American Castanea cofounder Michael Bloom told the people squinting in the sun.

As recently as last year, it seemed the 35-year effort to revive the American chestnut might grind to a halt. Now, federal regulatory approval is expected soon. And there’s millions of dollars in new funding coming in from private investors and the federal government. One conservation nonprofit is in discussions with American Castanea to plant up to a million of its chestnuts per year as soon as they’re ready and approved. 

Nothing like this has ever been tried before. But the self-­proclaimed “nutheads” believe the reintroduction of a GMO, blight-resistant American chestnut at scale could also become a model for how environmentalists can redeploy trees in general: restoring forests and shifting food production, all to combat climate change and biodiversity loss. 

“It’s a hard time to be a tree,” says Leigh Greenwood, director of the forest pest and pathogen program at the Nature Conservancy, which has been supportive of the GMO chestnut’s regulatory application. “But there’s some really interesting promise and hope.”  

Four billion trees dead 

“Charismatic megafauna” is the scientific term for species, like pandas and blue whales, that draw a disproportionate amount of love and, thus, resources. The nearly vanished American chestnut may be the most charismatic tree east of the Rockies. Because of its historical importance, fast growth, and abundant productivity of both nuts and timber, it’s drawn an exceptional amount of interest among biologists, conservationists, and a new crop of farmers. 

Trees that die back from blight occasionally resprout. Volunteer groups like the American Chestnut Cooperators’ Foundation have been working for decades to gather and crossbreed wild trees in the hopes of nudging along natural resistance to the blight. Meanwhile, the State University of New York’s College of Environmental Science and Forestry (ESF), with the support of a different group, the American Chestnut Foundation (TACF), has been pursuing genetic engineering in its labs and on its 44 wooded acres outside Syracuse. 

When ESF biologist Bill Powell and his colleagues began working with chestnut embryonic cells in 1989, it took them a decade just to optimize the growing process to make research practical. After that, researchers in the small lab inserted a wheat gene in embryos that inactivated oxalic acid, the toxin produced by the blight fungus. Gathering results on these transgenic trees takes time, because each generation has to grow for a few years before it produces the most useful data. But they eventually created a promising line, named Darling-58 after Herb Darling, a New York construction magnate who funded this research through TACF. Darling-58 was not perfect, and results varied from tree to tree and site to site. But eventually, the data showed slower infections and smaller cankers, the bulbous growths produced by the blight. 

In 2020, Darling-58 became, in all likelihood, the first genetically modified forest tree to be submitted for federal regulatory approval to the US Department of Agriculture’s Animal and Plant Health Inspection Service, the EPA, and the FDA to determine the safety of introducing it in the wild. 

“It’s a hard time to be a tree. But there’s some really interesting promise and hope.”

It is this genetically engineered strain of chestnut that American Castanea, too, is now planting and propagating in New York state, under a nonexclusive commercial license from ESF. They want to sell these trees, pending approval. And then they want to keep going, engineering ever-better chestnuts, and selling them first to enthusiasts, then to farmers, and finally to conservationists for timber, reforestation, maybe even carbon capture. 

To aid the effort, the company is looking for extraordinary wild specimens. In early 2024, it purchased an orchard that had been lovingly cultivated for three decades by a conservationist. The windy hilltop spot houses hundreds of trees, collected like stray kittens from a dozen states throughout the chestnut’s natural range. 

Most of the trees are homely and sickly with blight. They have bulging cankers, “flagging” branches sporting yellow and brown leaves, or green shoots that burst each season from their large root systems only to flop over and die back. “They make me a little sad,” admits Andrew Serazin, cofounder of American Castanea. But a few have shot up as tall as 40 feet, with only a few cankers. All these specimens have been sampled and are being analyzed. They will become the basis of a chestnut gene database that’s as complete as American Castanea can make it. 

From there, the plan is: Apply bioinformatics and AI techniques to correlate genetic signatures with specific traits. Borrow techniques developed in the cannabis industry for seedling production, cloning, and growth acceleration in high-intensity light chambers—none of which have yet been yet applied at this scale to forest trees. Develop several diverse, improved new strains of chestnut that are blight-resistant and optimized for different uses like forest restoration, nut production, and timber. Then produce seedlings at a scale previously unknown. The hope is to accelerate restoration, cutting down the time it would take resistant strains of the tree to propagate in the wild. “Tree growth takes a long time. We need to bend the curve of something that’s like a 30-year problem,” says Serazin.

The breadtree revival

The chestnut has not disappeared from the US: In fact, Americans eat some 33 million pounds of the nuts a year. These are European and Asian varieties, mostly imported. But some companies are looking to expand the cultivation of the nuts domestically. 

Among those leading the quest is a company called Breadtree Farms in upstate New York, named for a traditional nickname for the chestnut. In March, it won a $2 million grant from the USDA to build the largest organic chestnut processing facility in the US. It will be up to eight times larger than needed for its own 250 acres of trees. The company is dedicated to scaling the regional industry. “We have a list of over 100 growers that are, and will be, planting chestnut trees,” says Russell Wallack, Breadtree’s young cofounder.

Chestnuts have a nutritional profile similar to brown rice; they’re high in carbohydrates and lower in fat than other nuts. And unlike other nut trees, the chestnut “masts”—produces a large crop—every year, making it far more prolific.

That makes it a good candidate for an alternative form of agriculture dubbed agroforestry, which incorporates more trees into food cultivation. Food, agriculture, and land use together account for about one-quarter of greenhouse-gas emissions. Adding trees, whether as windbreaks between fields or as crops, could lower the sector’s carbon footprint.

Many different trees can be used this way. But Joe Fargione, science director for the Nature Conservancy’s North America region, says the chestnut is a standout candidate. “It’s great from a climate perspective, and there’s a lot of farmers that are excited about it,” he says. “Chestnuts end up being big trees that store a lot of CO2 and have a product that can be very prolific. They have the potential to pay for themselves. We want not just environmental sustainability but economic sustainability.”

The passion for chestnut revival connects the foresters and the farmers. Farmers aren’t waiting for the GMO trees to get federal approval. They are planting existing Chinese varieties, and hybrids between American and Chinese chestnuts, which thrive in the East. Still, Fargione says that if nut cultivation is going to scale up, farmers will need reliable seed stock of genetically improved trees. 

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A Tennessee family poses at the base of a chestnut tree, circa 1920. A deadly fungus nearly drove the once mighty species extinct by 1940.
NEGATIVES OF GREAT SMOKY MOUNTAINS NATIONAL PARK

On the other hand, those foreign orchard varieties would be considered invasives if planted in the wild. And they wouldn’t feed wildlife in the same way, says Sara Fern Fitzsimmons, chief conservation officer of the American Chestnut Foundation. “Wild turkeys prefer American chestnuts,” she says. “And the blue jay—since the American chestnut is smaller, he can fit more in his crop,” a food storage area inside a bird’s throat. For forest restoration you need American chestnuts or something as close to them as possible. That’s where the genetic engineering and crossbreeding projects will be crucial. But that path has been full of pitfalls.

Switched at birth

In late 2023, a biologist at the University of New England discovered evidence that Darling-58 was not what people thought it was. For nearly 10 years, all the data that ESF had painstakingly gathered on the strain actually pertained to a different line, Darling-54, which has its wheat gene in a different place on the genome. The promising results were all still there. The trees had simply been mislabeled that entire time. 

 A few weeks later, in December 2023, the American Chestnut Foundation suddenly announced it was withdrawing its support of ESF’s Darling tree research, citing the 54-58 mix-up, as well as what it called “disappointing performance results” for 54. 

But Andy Newhouse, director of the American Chestnut Project at SUNY ESF, says the mislabeling is not a deal-breaker. The research doesn’t “need to start from scratch,” he says. “This is correcting the record, making sure we have the appropriate label on it, and moving forward.” Newhouse says the regulatory application is ongoing (the USDA and FDA declined to comment on a pending regulatory application; the EPA did not respond to requests for comment). 

Newhouse defends the documented blight response of the trees that, we now know, are actually Darling-54.

And besides, he says, they’ve got a potentially better strain coming: the DarWin. The “Win” stands for “wound-inducible.” In these trees, the anti-blight action turns on—is induced—only when the tree’s bark is wounded, working something like an animal’s immune response. This could be more efficient than continuously expressing the anti-blight gene, the way Darling-54 does. So DarWin trees might reserve more of their energy to grow and produce nuts. 

The DarWin trees are about three years old, meaning data is still being collected. And if the Darling trees are approved for safety, it should smooth the path for a much faster approval of the DarWin trees, Newhouse says.

There was another reason, though, that TACF dropped its support of the Darling regulatory petition. In a FAQ on its website, the foundation said it was “surprised and concerned” that ESF had made a licensing deal for the Darling and DarWin trees—potentially worth millions—with a for-profit company: American Castanea.

TACF said it had been supporting the project under the assumption that the results would be available, for free, to anyone, in the “public commons.” Commercialization, it says, could make the trees more expensive for anyone who might want to plant them. Fitzsimmons wouldn’t comment further. 

The biotech boys

American Castanea’s Andrew Serazin is a Rhodes scholar whose scientific background is in tropical disease research. He rose in the ranks in global philanthropy, running million-­dollar grant competitions for the Gates Foundation, funding projects like vitamin-­enhanced “golden rice” and HIV vaccines. 

He was president of the Templeton World Charity Foundation in 2020 when it gave a “transformational” $3.2 million grant to SUNY ESF’s chestnut project. Serazin became convinced that the chestnut could be the seed of something much, much bigger. It didn’t hurt that he had a sentimental chestnut connection through his wife’s family farm in West Virginia, which dates back to the time of George Washington. 

With pests and pathogens threatening so many different species, “there’s a huge potential for there to be precision management of forests using all of the same capabilities we’ve used in human medicine,” he says. 

For that, Serazin was convinced, they needed money. Real money. Venture capital money. “I mean, really, there’s only one system that we know about that works the best for this kind of innovation, and that’s using incentives for companies to bring together these resources,” he says. 

Serazin teamed up with his friend Michael Bloom, an entrepreneur who’s sold two previous companies. They incorporated American Castanea for certification as a public benefit corporation in Delaware, pledging to balance profit with purpose and adhere to a high degree of transparency on social and environmental impact. They went to “impact investors” to sell the vision. That was part of what was going on at the seed farm on that July day; the company has $4 million in seed financing and wants to raise $7 million to $10 million more next year. 

What he’s offering investors, Serazin says, isn’t quick returns but a chance to “participate in the once-in-a-lifetime opportunity to bring back a tree species from functional extinction, and participate in this great American story.” 

What they’re proposing, over the next several decades or more, is no less than replanting the entire Eastern forest with a variety of genetically superior breeds, on the scale of millions of trees. 

It sounds, at first blush, like a sci-fi terraforming scenario. On the other hand, Leigh Greenwood, at the Nature Conservancy, says every species group of tree in the woods is threatened by climate change. Pathogens are emerging in new territories, trees are stressed by extreme weather, and the coldest winter temperatures, which used to reliably kill off all manner of forest insects and diseases at the edges of their habitats, are getting milder.

Besides chestnut blight, there’s Dutch elm disease, the emerald ash borer, butternut canker, oak wilt, and white pine blister rust. The southern pine beetle now ranges as far north as Massachusetts because of milder winters. The spongy (formerly gypsy) moth is a champion defoliator, munching enough leaves “to make an entire forest look naked in June,” says Greenwood. A new nematode that attacks leaves and buds, previously unknown to science, has emerged near the Great Lakes in the last decade. Sick and dying trees stop sequestering carbon and storing water, are prone to wildfire, and can take entire ecosystems down with them. 

“Invasive species are moving faster than biological time,” Greenwood says. “What we have to do is speed up the host trees, their natural selection. And that is an enormous task that only in very recent times have we really developed the tools in order to figure out how the heck we’re going to do that.” 

By “recent tools,” Greenwood means, more or less, what American Castanea is trying: genetic analysis and advanced horticultural techniques that allow resistant trees to be propagated and introduced into the wild more quickly. 

Greenwood is quick to say that the Nature Conservancy also supports the American Chestnut Cooperators’ Foundation, which crossbreeds wild American chestnuts for blight resistance. They are a small, all-volunteer organization with no university affiliation. They mail their crossbred chestnuts out to hobbyist landowners all over the country, and president Ed Greenwell tells me they don’t really know exactly how many are growing out there—maybe 5,000, maybe more. He has seen some that are big and healthy, he says. “We have many trees of 40-plus years of age.” 

What they don’t have is a sense of urgency. “We’re self-funded, so we could do our breeding as we choose,” says Greenwell. “Our method is tried and true, and we have no pressure to take shortcuts, like genetic modification, which theoretically could have shortened the time to get trees back in the woods.” 

The whole idea of a GMO forest tests our concept of what “nature” is. And that may just be a marker of where we are at this point in the Anthropocene.

Greenwell is not the only one to object to GMO chestnuts. In 2023, Joey Owle, then the secretary of agriculture and natural resources for the Eastern Band of Cherokee Indians, told Grist magazine that while the group was open to introducing transgenic trees on its land if necessary, it was the “last option that we would like to pursue.”

Greenwood led the writing of an expert letter, something like an amicus brief, in support of SUNY ESF’s regulatory petition for the Darling tree. She takes such objections seriously. “If we do not address the human dimensions of change, no matter how good the biological, chemical designs are,” she says, “those changes will fail.” 

That July day out at the seed farm, sitting under a tent with plates of pork barbecue, the scientists, conservationists, and businesspeople started debating how deep these GMO objections really run. Serazin said he believes that what people really hate is corporate monopoly, not the technology per se. “It’s really about the exertion of power and capital,” he said. He’s hoping that by incorporating as a public benefit corporation and making the trees widely available to conservation groups and responsible forest product and nut producers, he can convince people that American Castanea’s heart is in the right place. 

Still, others pointed out, the whole idea of a GMO forest tests our concept of what “nature” is. And that may just be a marker of where we are at this point in the Anthropocene—it’s hard to envision a future where any living creature in the ecological web can remain untouched by humans. 

That responsibility may connect us more to the past than we realize. For centuries, Native people like the Haudenosaunee Nation practiced intentional land management to improve habitat for the chestnut. When the Europeans began clearing land for farming and timber, the fast-growing tree was able to claim proportionately even more space for itself. It turns out the forest those colonists embraced—the forest dominated by chestnut trees—was no true accident of nature. It was a product of a relationship between people and chestnuts. One that continues to evolve today. 

Anya Kamenetz is a freelance reporter who writes the Substack newsletter The Golden Hour.

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