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Game of clones: Colossal’s new wolves are cute, but are they dire?

Somewhere in the northern US, drones fly over a 2,000-acre preserve, protected by a nine-foot fence built to zoo standards. It is off-limits to curious visitors, especially those with a passion for epic fantasies or mythical creatures. The reason for such tight security? Inside the preserve roam three striking snow-white wolves—which a startup called Colossal Biosciences says are members of a species that went extinct 13,000 years ago, now reborn via biotechnology. For several years now, the Texas-based company has been in the news for its plans to re-create woolly mammoths someday. But now it’s making a bold new claim—that it has actually “de-extincted” an animal called the dire wolf. And that could be another reason for the high fences and secret location—to fend off scientific critics, some of whom have already been howling that the company is a “scam” perpetrating “elephantine fantasies” on the public and engaging in “pure hype.” Dire wolves were large, big-jawed members of the canine family. More than 400 of their skulls have been recovered from the La Brea Tar Pits in California. Ultimately they were replaced by smaller relatives like the gray wolf. In its effort to re-create the animal, Colossal says, it extracted DNA information from dire wolf bones and used gene editing to introduce some of those elements into cells from gray wolves. It then used a cloning procedure to turn the cells into three actual animals.  The animals include two males, Romulus and Remus, born in October, and one female, Khaleesi, whose name is a reference to the TV series Game of Thrones, in which fictional dire wolves play a part. Two of the “dire wolves” at three months old.COLOSSAL BIOSCIENCES Each animal, the company says, has 20 genetic changes across 14 genes designed to make them larger, change their facial features, and give them a snow-white appearance. Some scientists reject the company’s claim that the new animals are a revival of the extinct creatures, since in reality dire wolves and gray wolves are different species separated by a few million of years of evolution and several million letters of DNA. “I would say such an animal is not a dire wolf and it’s not correct to say dire wolves have been brought back from extinction. It’s a modified gray wolf,” says Anders Bergström, a professor at the University of East Anglia who specializes in the evolution of canines. “Twenty changes is not nearly enough. But it could get you a strange-looking gray wolf.” Beth Shapiro, an expert on ancient DNA who is now on a three-year sabbatical from the University of California, Santa Cruz, as the company’s CSO, acknowledged in an interview that other scientists would bristle at the claim. “What we’re going to have here is a philosophical argument about whether we should call it a dire wolf or call it something else,” Shapiro said. Asked point blank to call the animal a dire wolf, she hesitated but then did so. “It is a dire wolf,” she said. “I feel like I say that, and then all of my taxonomist friends will be like, ‘Okay, I’m done with her.’ But it’s not a gray wolf. It doesn’t look like a gray wolf.” Dire or not, the new wolves demonstrate that science is becoming more deft in its control over the genomes of animals—and point to how that skill could help in conservation. As part of the project, Colossal says, it also cloned several red wolves, an American species that’s the most endangered wolf in the world. But that isn’t as dramatic as the supposed rebirth of an extinct animal with a large cultural following. “The motivation really is to develop tools that we can use to stop species from becoming extinct. Do we need ancient DNA for that? Maybe not,” says Shapiro. “Does it bring more attention to it so that maybe people get excited about the idea that we can use biotechnology for conservation? Probably.” Secret project Colossal was founded in 2021 after founder Ben Lamm, a software entrepreneur, visited the Harvard geneticist George Church and learned about a far-out and still mostly theoretical project to re-create woolly mammoths. The idea is to release herds of them in cold regions, like Siberia, and restore an ecological balance that keeps greenhouse gases trapped in the permafrost. Lamm has unexpectedly been able to raise more than $400 million from investors to back the plan, and Forbes reported that he is now a multibillionaire, at least on paper, thanks to the $10 billion value assigned to the startup. From left to right: Beth Shapiro, George Church, and Ben Lamm pose with the pups.COLOSSAL BIOSCIENCES As Lamm showed he could raise money for Colossal’s ideas, it soon expanded beyond its effort to modify elephants. It publicly announced a bid to re-create the thylacine, a marsupial predator hunted to extinction, and then, in 2023, it started planning to resurrect the dodo bird—the effort that brought Shapiro to the company. So far, none of those projects have actually resulted in a live animal.  Each faced dire practical issues. With elephants, it was that their pregnancies last two years, longer than those in any other species. Testing out mammoth designs would be impossibly slow. With the dodo bird, it was that no one has ever figured out how to genetically modify the pigeon, the most closely related species from which to craft a dodo via editing. One of Lamm’s other favorite targets—the Steller’s sea cow, which disappeared around 1770—has no obvious surrogate of any kind.    But bringing back a wolf was feasible. Over 1,500 dogs had been cloned, primarily by one company in South Korea. Researchers in Asia had even used dog eggs and dog mothers to produce both coyote and wolf clones. That’s not surprising, since all these species are closely enough related to interbreed. “Just thinking about surrogacy for the dire wolf … it was like ‘Oh, yeah,’” recalls Shapiro. “Surrogacy there would be really straightforward.” Dire wolves did present some new problems. One was the lack of any clear ecological purpose in reviving animals that disappeared during the Pleistocene epoch and are usually portrayed as ferocious predators with slavering jaws. “People have weird feelings about things that, you know, may or may not eat people or livestock,” Shapiro says. The technical challenge was there was still no accurate DNA sequence of a dire wolf. A 2021 effort to obtain DNA from old bones had yielded only a tiny amount, not enough to accurately decode the genome in detail. And without a detailed gene map, Colossal wouldn’t be able see what genetic differences they would need to install in gray wolves, the species they intended to alter. Shapiro says she went back to museums, including the Idaho Museum of Natural History, and eventually got permission to cut off more bone from a 72,0000-year-old skull that’s on display there. She also got a tooth from a 13,000-year-old skull held in another museum. which she drilled into herself. This time the bones yielded far more DNA and a much more complete gene map. A paper describing the detailed sequence is being submitted for publication; its authors include George R.R. Martin, the fantasy author whose books were turned into the HBO series Game of Thrones, and in which dire wolves appear as the characters’ magical companions. In addition to placing dire wolves more firmly in the Canidae family tree (they’re slightly closer to jackals than to gray wolves, but more than 99.9% identical to both at a genetic level) and determining when dire wolves split from the pack (about 4 million years ago), the team also located around 80 genes where dire wolves seemed to be most different. If you wanted to turn a gray wolf into a dire wolf, this would be the obvious list to start from. Crying wolf Colossal then began the process of using base editing, an updated form of the CRISPR gene-modification technique, to introduce some of those exact DNA variations into blood cells of a gray wolf kept in its labs. Each additional edit, the company  hoped, would make the eventual animal a little more dire-wolf-like, even it involved changing just a single letter of a gene. Shapiro says all the edits involve “genetic enhancers,” bits of DNA that help control how strongly certain genes are expressed. These can influence how big animals grow, as well as affecting the shape of their ears, faces, and skulls. This tactic was not as dramatic as intervening right in the middle of a gene, which would change what protein is made. But it was less risky—more like turning knobs on an unfamiliar radio than cutting wires and replacing circuits. That left the scientists to engineer into the animals what would become the showstopper trait—the dramatic white fur. Shapiro says the genome code indicated that dire wolves might have had light coats. But the specific pigment genes involved are linked to a risk of albinism, deafness, and blindness, and they didn’t want sick wolves. That’s when Colossal opted for a shortcut. Instead of reproducing precise DNA variants seen in dire wolves, they disabled two genes entirely. In dogs and other species, the absence of those genes is known to produce light fur. The decision to make the wolves white did result in dramatic photos of the animals. “It’s the most striking thing about them,” says Mairin Balisi, a paleontologist who studies dire wolf fossils. But she doubts it reflects what the animals actually looked like: “A white coat might make sense if you are in a snowy landscape, but one of the places where dire wolves were most abundant was around Los Angeles and the tar pits, and it was not a snowy landscape even in the Ice Age. If you look at mammals in this region today, they are not white. I am just confused by the declaration that dire wolves are back.” Bergström also says he doesn’t think the edits add up to a dire wolf. “I doubt that 20 changes are enough to turn a gray wolf to a dire wolf.  You’d probably need hundreds or thousands of changes—no one really knows,” he says. “This is one of those unsolved questions in biology. People argue [about] the extent to which many small differences make a species distinct, versus a small number of big-effect differences. Nobody knows, but I lean to the ‘many small differences’ view.” Some genes have big, visible effects—changing a single gene can make a dog hairless, for instance. But it might be many more small changes that account for the difference in size and appearance between, say, a Great Dane and a Chihuahua. And that is just looks. Bergström says science has much less idea which changes would account for behavior—even if we could tell from a genome how an extinct animal acted, which we can’t. “A lot of people are quite skeptical of what they are doing,” Bergström says of Colossal.  “But I still think it’s interesting that someone is trying. It takes a lot of money and resources, and if we did have the technology to bring species back from extinction, I do think that would be useful. We drive species to extinction, sometimes very rapidly, and that is a shame.” Cloning with dogs By last August, the gray wolf cells had been edited, and it was time to try cloning those cells and producing animals. Shapiro says her company transferred 45 cloned embryos apiece into six surrogate dogs. That led to three pregnancies, from which four dogs were born. One of the four, Khaleesi’s sister, died 10 days after birth from an intestinal infection, deemed unrelated to the cloning process. “That was the only puppy that didn’t make it,” says Shapiro. Two other fetal clones were reabsorbed during pregnancy, which means they disintegrated, a fairly common occurrence in dogs. These days the white wolves are able to freely roam around a large area. They don’t have radio collars, but they are watched by cameras and are trained to come to their caretakers to get fed, which offers a chance to weigh them as they cross a scale in the ground. The 10 staff members attending to them can see them up close, though they’re now too big to handle the way the caretakers could when they were puppies. The pups are being monitored through the different stages of their development but will not be put on public display.COLOSSAL BIOSCIENCES Whatever species these animals are, it’s not obvious what their future will be. They don’t seem to have a conservation purpose, and Lamm says he isn’t trying to profit from them. “We’re not making money off the dire wolves. That’s not our business plan,” Lamm said in an interview with MIT Technology Review. He added that the animals would also not be put on display for the public, since “we’re not in the business of attractions.” At least not in-person attractions. But every aspect of the project has been filmed, and in February, the company inked a deal to produce a docuseries about its exploits. That same month it also hired as its marketing chief a Hollywood executive who previously worked on big-budget “monster movies.” And there are signs that de-extinction, in Colossal’s hands, has the potential to generate nearly out-of-control of attention, much like that scene in the original King Kong when the giant ape—captured by a filmmaker—breaks its chains under the flashes of the cameras. For instance company’s first creation, mice with shaggy, mammoth-like hair, was announced only five weeks ago, yet there are already unauthorized sales of throw pillows and T-shirts (they read “Legalize Woolly Mice”), as well as some “serious security issues” involving unannounced visitors. “We’ve had people show up to our labs because they want the woolly mouse,” Lamm says. “We’re worried about that from a security perspective [for] the wolves, because you’re going to have all the Game of Thrones people. You’re going to have a lot of people that want to see these animals.”   Lamm said that in light of his concerns about unruly fans, diagrams of the ecological preserve provided to the media had been altered so that no internet “sleuths” could use them to guess its location.

Somewhere in the northern US, drones fly over a 2,000-acre preserve, protected by a nine-foot fence built to zoo standards. It is off-limits to curious visitors, especially those with a passion for epic fantasies or mythical creatures.

The reason for such tight security? Inside the preserve roam three striking snow-white wolves—which a startup called Colossal Biosciences says are members of a species that went extinct 13,000 years ago, now reborn via biotechnology.

For several years now, the Texas-based company has been in the news for its plans to re-create woolly mammoths someday. But now it’s making a bold new claim—that it has actually “de-extincted” an animal called the dire wolf.

And that could be another reason for the high fences and secret location—to fend off scientific critics, some of whom have already been howling that the company is a “scam” perpetrating “elephantine fantasies” on the public and engaging in “pure hype.”

Dire wolves were large, big-jawed members of the canine family. More than 400 of their skulls have been recovered from the La Brea Tar Pits in California. Ultimately they were replaced by smaller relatives like the gray wolf.

In its effort to re-create the animal, Colossal says, it extracted DNA information from dire wolf bones and used gene editing to introduce some of those elements into cells from gray wolves. It then used a cloning procedure to turn the cells into three actual animals. 

The animals include two males, Romulus and Remus, born in October, and one female, Khaleesi, whose name is a reference to the TV series Game of Thrones, in which fictional dire wolves play a part.

Two dire wolves are seen at 3 months old.
Two of the “dire wolves” at three months old.
COLOSSAL BIOSCIENCES

Each animal, the company says, has 20 genetic changes across 14 genes designed to make them larger, change their facial features, and give them a snow-white appearance.

Some scientists reject the company’s claim that the new animals are a revival of the extinct creatures, since in reality dire wolves and gray wolves are different species separated by a few million of years of evolution and several million letters of DNA.

“I would say such an animal is not a dire wolf and it’s not correct to say dire wolves have been brought back from extinction. It’s a modified gray wolf,” says Anders Bergström, a professor at the University of East Anglia who specializes in the evolution of canines. “Twenty changes is not nearly enough. But it could get you a strange-looking gray wolf.”

Beth Shapiro, an expert on ancient DNA who is now on a three-year sabbatical from the University of California, Santa Cruz, as the company’s CSO, acknowledged in an interview that other scientists would bristle at the claim.

“What we’re going to have here is a philosophical argument about whether we should call it a dire wolf or call it something else,” Shapiro said. Asked point blank to call the animal a dire wolf, she hesitated but then did so.

“It is a dire wolf,” she said. “I feel like I say that, and then all of my taxonomist friends will be like, ‘Okay, I’m done with her.’ But it’s not a gray wolf. It doesn’t look like a gray wolf.”

Dire or not, the new wolves demonstrate that science is becoming more deft in its control over the genomes of animals—and point to how that skill could help in conservation. As part of the project, Colossal says, it also cloned several red wolves, an American species that’s the most endangered wolf in the world.

But that isn’t as dramatic as the supposed rebirth of an extinct animal with a large cultural following. “The motivation really is to develop tools that we can use to stop species from becoming extinct. Do we need ancient DNA for that? Maybe not,” says Shapiro. “Does it bring more attention to it so that maybe people get excited about the idea that we can use biotechnology for conservation? Probably.”

Secret project

Colossal was founded in 2021 after founder Ben Lamm, a software entrepreneur, visited the Harvard geneticist George Church and learned about a far-out and still mostly theoretical project to re-create woolly mammoths. The idea is to release herds of them in cold regions, like Siberia, and restore an ecological balance that keeps greenhouse gases trapped in the permafrost.

Lamm has unexpectedly been able to raise more than $400 million from investors to back the plan, and Forbes reported that he is now a multibillionaire, at least on paper, thanks to the $10 billion value assigned to the startup.

Ben, Beth, and George of Colossal Biosciences pose with dire wolf pups.
From left to right: Beth Shapiro, George Church, and Ben Lamm pose with the pups.
COLOSSAL BIOSCIENCES

As Lamm showed he could raise money for Colossal’s ideas, it soon expanded beyond its effort to modify elephants. It publicly announced a bid to re-create the thylacine, a marsupial predator hunted to extinction, and then, in 2023, it started planning to resurrect the dodo bird—the effort that brought Shapiro to the company.

So far, none of those projects have actually resulted in a live animal. 

Each faced dire practical issues. With elephants, it was that their pregnancies last two years, longer than those in any other species. Testing out mammoth designs would be impossibly slow. With the dodo bird, it was that no one has ever figured out how to genetically modify the pigeon, the most closely related species from which to craft a dodo via editing. One of Lamm’s other favorite targets—the Steller’s sea cow, which disappeared around 1770—has no obvious surrogate of any kind.   

But bringing back a wolf was feasible. Over 1,500 dogs had been cloned, primarily by one company in South Korea. Researchers in Asia had even used dog eggs and dog mothers to produce both coyote and wolf clones. That’s not surprising, since all these species are closely enough related to interbreed.

“Just thinking about surrogacy for the dire wolf … it was like ‘Oh, yeah,’” recalls Shapiro. “Surrogacy there would be really straightforward.”

Dire wolves did present some new problems. One was the lack of any clear ecological purpose in reviving animals that disappeared during the Pleistocene epoch and are usually portrayed as ferocious predators with slavering jaws. “People have weird feelings about things that, you know, may or may not eat people or livestock,” Shapiro says.

The technical challenge was there was still no accurate DNA sequence of a dire wolf. A 2021 effort to obtain DNA from old bones had yielded only a tiny amount, not enough to accurately decode the genome in detail. And without a detailed gene map, Colossal wouldn’t be able see what genetic differences they would need to install in gray wolves, the species they intended to alter.

Shapiro says she went back to museums, including the Idaho Museum of Natural History, and eventually got permission to cut off more bone from a 72,0000-year-old skull that’s on display there. She also got a tooth from a 13,000-year-old skull held in another museum. which she drilled into herself.

This time the bones yielded far more DNA and a much more complete gene map. A paper describing the detailed sequence is being submitted for publication; its authors include George R.R. Martin, the fantasy author whose books were turned into the HBO series Game of Thrones, and in which dire wolves appear as the characters’ magical companions.

In addition to placing dire wolves more firmly in the Canidae family tree (they’re slightly closer to jackals than to gray wolves, but more than 99.9% identical to both at a genetic level) and determining when dire wolves split from the pack (about 4 million years ago), the team also located around 80 genes where dire wolves seemed to be most different. If you wanted to turn a gray wolf into a dire wolf, this would be the obvious list to start from.

Crying wolf

Colossal then began the process of using base editing, an updated form of the CRISPR gene-modification technique, to introduce some of those exact DNA variations into blood cells of a gray wolf kept in its labs. Each additional edit, the company  hoped, would make the eventual animal a little more dire-wolf-like, even it involved changing just a single letter of a gene.

Shapiro says all the edits involve “genetic enhancers,” bits of DNA that help control how strongly certain genes are expressed. These can influence how big animals grow, as well as affecting the shape of their ears, faces, and skulls. This tactic was not as dramatic as intervening right in the middle of a gene, which would change what protein is made. But it was less risky—more like turning knobs on an unfamiliar radio than cutting wires and replacing circuits.

That left the scientists to engineer into the animals what would become the showstopper trait—the dramatic white fur. Shapiro says the genome code indicated that dire wolves might have had light coats. But the specific pigment genes involved are linked to a risk of albinism, deafness, and blindness, and they didn’t want sick wolves.

That’s when Colossal opted for a shortcut. Instead of reproducing precise DNA variants seen in dire wolves, they disabled two genes entirely. In dogs and other species, the absence of those genes is known to produce light fur.

The decision to make the wolves white did result in dramatic photos of the animals. “It’s the most striking thing about them,” says Mairin Balisi, a paleontologist who studies dire wolf fossils. But she doubts it reflects what the animals actually looked like: “A white coat might make sense if you are in a snowy landscape, but one of the places where dire wolves were most abundant was around Los Angeles and the tar pits, and it was not a snowy landscape even in the Ice Age. If you look at mammals in this region today, they are not white. I am just confused by the declaration that dire wolves are back.”

Bergström also says he doesn’t think the edits add up to a dire wolf. “I doubt that 20 changes are enough to turn a gray wolf to a dire wolf.  You’d probably need hundreds or thousands of changes—no one really knows,” he says. “This is one of those unsolved questions in biology. People argue [about] the extent to which many small differences make a species distinct, versus a small number of big-effect differences. Nobody knows, but I lean to the ‘many small differences’ view.”

Some genes have big, visible effects—changing a single gene can make a dog hairless, for instance. But it might be many more small changes that account for the difference in size and appearance between, say, a Great Dane and a Chihuahua. And that is just looks. Bergström says science has much less idea which changes would account for behavior—even if we could tell from a genome how an extinct animal acted, which we can’t.

“A lot of people are quite skeptical of what they are doing,” Bergström says of Colossal.  “But I still think it’s interesting that someone is trying. It takes a lot of money and resources, and if we did have the technology to bring species back from extinction, I do think that would be useful. We drive species to extinction, sometimes very rapidly, and that is a shame.”

Cloning with dogs

By last August, the gray wolf cells had been edited, and it was time to try cloning those cells and producing animals. Shapiro says her company transferred 45 cloned embryos apiece into six surrogate dogs. That led to three pregnancies, from which four dogs were born. One of the four, Khaleesi’s sister, died 10 days after birth from an intestinal infection, deemed unrelated to the cloning process. “That was the only puppy that didn’t make it,” says Shapiro. Two other fetal clones were reabsorbed during pregnancy, which means they disintegrated, a fairly common occurrence in dogs.

These days the white wolves are able to freely roam around a large area. They don’t have radio collars, but they are watched by cameras and are trained to come to their caretakers to get fed, which offers a chance to weigh them as they cross a scale in the ground. The 10 staff members attending to them can see them up close, though they’re now too big to handle the way the caretakers could when they were puppies.

The pups are being monitored through the different stages of their development but will not be put on public display.
COLOSSAL BIOSCIENCES

Whatever species these animals are, it’s not obvious what their future will be. They don’t seem to have a conservation purpose, and Lamm says he isn’t trying to profit from them.

“We’re not making money off the dire wolves. That’s not our business plan,” Lamm said in an interview with MIT Technology Review. He added that the animals would also not be put on display for the public, since “we’re not in the business of attractions.”

At least not in-person attractions. But every aspect of the project has been filmed, and in February, the company inked a deal to produce a docuseries about its exploits. That same month it also hired as its marketing chief a Hollywood executive who previously worked on big-budget “monster movies.”

And there are signs that de-extinction, in Colossal’s hands, has the potential to generate nearly out-of-control of attention, much like that scene in the original King Kong when the giant ape—captured by a filmmaker—breaks its chains under the flashes of the cameras.

For instance company’s first creation, mice with shaggy, mammoth-like hair, was announced only five weeks ago, yet there are already unauthorized sales of throw pillows and T-shirts (they read “Legalize Woolly Mice”), as well as some “serious security issues” involving unannounced visitors.

“We’ve had people show up to our labs because they want the woolly mouse,” Lamm says. “We’re worried about that from a security perspective [for] the wolves, because you’re going to have all the Game of Thrones people. You’re going to have a lot of people that want to see these animals.”  

Lamm said that in light of his concerns about unruly fans, diagrams of the ecological preserve provided to the media had been altered so that no internet “sleuths” could use them to guess its location.

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APA Corp Makes Leadership Changes, Names Ben Rodgers as CFO

Oil and natural gas exploration and production company APA Corporation has recently made changes to its executive leadership team. The company said in a media release that Ben Rodgers has been named executive vice president (EVP) and chief financial officer (CFO), effective May 12, 2025. Furthermore, Steve Riley will continue in his role as president, while Shad Frazier joined the company as senior vice president, U.S. Onshore Operations. Additionally, Donald Martin will join the company as vice president, Decommissioning, effective May 26, 2025, APA said. In this role as EVP and CFO, Rodgers will oversee all financial activities and departments, including Accounting, Audit, Investor Relations, Planning, Tax, and Treasury. He joined APA in 2018 and previously served as SVP, Finance, and Treasurer. He also served as CFO of Altus Midstream and later as a director on the board of Kinetik Holdings Inc., APA said. He currently serves on the board of Khalda Petroleum Company, a joint venture between APA subsidiary Apache Corporation and Egypt Petroleum Company. In his position, Riney will continue overseeing asset development and operations. Both Frazier and Martin have been added to Riney’s team to help oversee operations. APA highlighted that Frazier has nearly 30 years of industry experience, most recently as vice president, Production Operations at Endeavor Energy Resources, LP. Previously, he held various leadership positions at Legacy Reserves and SandRidge Energy. Martin brings 20 years of operations and decommissioning portfolio experience, most recently as the head of decommissioning and projects at Spirit Energy. He has also managed decommissioning at Canadian Natural Resources, APA said. “I am pleased to welcome Ben to our executive leadership team. He has done a tremendous job and will bring valuable expertise to our financial operations”, John J. Christmann, APA Corporation CEO, said. “I am also excited to welcome both Shad and Donald

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TotalEnergies Agrees 15-year LNG Supply Deal with Enadom

Global energy major TotalEnergies SE signed a heads of agreement (HoA) with Energia Natural Dominicana Enadom, S.R.L. (Enadom) for the delivery of 400,000 tons of liquefied natural gas (LNG) per year. TotalEnergies said in a media release that the HoA with the joint venture between AES Dominicana and Energas in the Dominican Republic is subject to the finalization of sale and purchase agreements (SPAs). Once the SPAs are signed, the agreement will start in mid-2027, with a 15-year term, and the price will be indexed to Henry Hub. The deal enables Enadom to supply natural gas to the 470 MW combined-cycle power plant, currently under construction, which will increase the country’s electricity generation capacity, TotalEnergies said. This project contributes to the energy transition of the Dominican Republic by reducing its dependence on coal and fuel oil through the use of a less carbon-intensive energy source, natural gas, the company said. “We are pleased to have signed this agreement to answer, alongside AES and its partners, the energy needs of the Dominican Republic. This new contract underscores TotalEnergies’ leadership in the LNG sector and our commitment to supporting the island’s energy transition. It will be a natural outlet for our US LNG supply which will progressively increase”, Gregory Joffroy, Senior Vice President LNG at TotalEnergies, said. TotalEnergies said it is the world’s third largest LNG player with a global portfolio of 40 Mt/y in 2024 thanks to its interests in liquefaction plants in all geographies. “This agreement with TotalEnergies is the result of the confidence placed in the Dominican Republic’s energy sector and, specifically, in Enadom and AES. This partnership, alongside Enadom’s, has demonstrated investment capabilities in providing natural gas to the Dominican electricity market by ensuring a reliable, competitive, and environmentally responsible energy supply. Enadom is proud to play a pivotal

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Intel sells off majority stake in its FPGA business

Altera will continue offering field-programmable gate array (FPGA) products across a wide range of use cases, including automotive, communications, data centers, embedded systems, industrial, and aerospace.  “People were a bit surprised at Intel’s sale of the majority stake in Altera, but they shouldn’t have been. Lip-Bu indicated that shoring up Intel’s balance sheet was important,” said Jim McGregor, chief analyst with Tirias Research. The Altera has been in the works for a while and is a relic of past mistakes by Intel to try to acquire its way into AI, whether it was through FPGAs or other accelerators like Habana or Nervana, note Anshel Sag, principal analyst with Moor Insight and Research. “Ultimately, the 50% haircut on the valuation of Altera is unfortunate, but again is a demonstration of Intel’s past mistakes. I do believe that finishing the process of spinning it out does give Intel back some capital and narrows the company’s focus,” he said. So where did it go wrong? It wasn’t with FPGAs because AMD is making a good run of it with its Xilinx acquisition. The fault, analysts say, lies with Intel, which has a terrible track record when it comes to acquisitions. “Altera could have been a great asset to Intel, just as Xilinx has become a valuable asset to AMD. However, like most of its acquisitions, Intel did not manage Altera well,” said McGregor.

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Intelligence at the edge opens up more risks: how unified SASE can solve it

In an increasingly mobile and modern workforce, smart technologies such as AI-driven edge solutions and the Internet of Things (IoT) can help enterprises improve productivity and efficiency—whether to address operational roadblocks or respond faster to market demands. However, new solutions also come with new challenges, mainly in cybersecurity. The decentralized nature of edge computing—where data is processed, transmitted, and secured closer to the source rather than in a data center—has presented new risks for businesses and their everyday operations. This shift to the edge increases the number of exposed endpoints and creates new vulnerabilities as the attack surface expands. Enterprises will need to ensure their security is watertight in today’s threat landscape if they want to reap the full benefits of smart technologies at the edge. Bypassing the limitations of traditional network security  For the longest time, enterprises have relied on traditional network security approaches to protect their edge solutions. However, these methods are becoming increasingly insufficient as they typically rely on static rules and assumptions, making them inflexible and predictable for malicious actors to circumvent.  While effective in centralized infrastructures like data centers, traditional network security models fall short when applied to the distributed nature of edge computing. Instead, organizations need to adopt more adaptive, decentralized, and intelligent security frameworks built with edge deployments in mind.  Traditional network security typically focuses on keeping out external threats. But today’s threat landscape has evolved significantly, with threat actors leveraging AI to launch advanced attacks such as genAI-driven phishing, sophisticated social engineering attacks, and malicious GPTs. Combined with the lack of visibility with traditional network security, a cybersecurity breach could remain undetected until it’s too late, resulting in consequences extending far beyond IT infrastructures.  Next generation of enterprise security with SASE As organizations look into implementing new technologies to spearhead their business, they

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Keysight tools tackle data center deployment efficiency

Test and performance measurement vendor Keysight Technologies has developed Keysight Artificial Intelligence (KAI) to identify performance inhibitors affecting large GPU deployments. It emulates workload profiles, rather than using actual resources, to pinpoint performance bottlenecks. Scaling AI data centers requires testing throughout the design and build process – every chip, cable, interconnect, switch, server, and GPU needs to be validated, Keysight says. From the physical layer through the application layer, KAI is designed to identify weak links that degrade the performance of AI data centers, and it validates and optimizes system-level performance for optimal scaling and throughput. AI providers, semiconductor fabricators, and network equipment manufacturers can use KAI to accelerate design, development, deployment, and operations by pinpointing performance issues before deploying in production.

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U.S. Advances AI Data Center Push with RFI for Infrastructure on DOE Lands

ORNL is also the home of the Center for Artificial Intelligence Security Research (CAISER), which Edmon Begoli, CAISER founding director, described as being in place to build the security necessary by defining a new field of AI research targeted at fighting future AI security risks. Also, at the end of 2024, Google partner Kairos Power started construction of their Hermes demonstration SMR in Oak Ridge. Hermes is a high-temperature gas-cooled reactor (HTGR) that uses triso-fueled pebbles and a molten fluoride salt coolant (specifically Flibe, a mix of lithium fluoride and beryllium fluoride). This demonstration reactor is expected to be online by 2027, with a production level system becoming available in the 2030 timeframe. Also located in a remote area of Oak Ridge is the Tennessee Valley Clinch River project, where the TVA announced a signed agreement with GE-Hitachi to plan and license a BWRX-300 small modular reactor (SMR). On Integrating AI and Energy Production The foregoing are just examples of ongoing projects at the sites named by the DOE’s RFI. Presuming that additional industry power, utility, and data center providers get on board with these locations, any of the 16 could be the future home of AI data centers and on-site power generation. The RFI marks a pivotal step in the U.S. government’s strategy to solidify its global dominance in AI development and energy innovation. By leveraging the vast resources and infrastructure of its national labs and research sites, the DOE is positioning the country to meet the enormous power and security demands of next-generation AI technologies. The selected locations, already home to critical energy research and cutting-edge supercomputing, present a compelling opportunity for industry stakeholders to collaborate on building integrated, sustainable AI data centers with dedicated energy production capabilities. With projects like Oak Ridge’s pioneering SMRs and advanced AI security

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Generac Sharpens Focus on Data Center Power with Scalable Diesel and Natural Gas Generators

In a digital economy defined by constant uptime and explosive compute demand, power reliability is more than a design criterion—it’s a strategic imperative. In response to such demand, Generac Power Systems, a company long associated with residential backup and industrial emergency power, is making an assertive move into the heart of the digital infrastructure sector with a new portfolio of high-capacity generators engineered for the data center market. Unveiled this week, Generac’s new lineup includes five generators ranging from 2.25 MW to 3.25 MW. These units are available in both diesel and natural gas configurations, and form part of a broader suite of multi-asset energy systems tailored to hyperscale, colocation, enterprise, and edge environments. The product introductions expand Generac’s commercial and industrial capabilities, building on decades of experience with mission-critical power in hospitals, telecom, and manufacturing, now optimized for the scale and complexity of modern data centers. “Coupled with our expertise in designing generators specific to a wide variety of industries and uses, this new line of generators is designed to meet the most rigorous standards for performance, packaging, and after-treatment specific to the data center market,” said Ricardo Navarro, SVP & GM, Global Telecom and Data Centers, Generac. Engineering for the Demands of Digital Infrastructure Each of the five new generators is designed for seamless integration into complex energy ecosystems. Generac is emphasizing modularity, emissions compliance, and high-ambient operability as central to the offering, reflecting a deep understanding of the real-world challenges facing data center operators today. The systems are built around the Baudouin M55 engine platform, which is engineered for fast transient response and high operating temperatures—key for data center loads that swing sharply under AI and cloud workloads. The M55’s high-pressure common rail fuel system supports low NOx emissions and Tier 4 readiness, aligning with the most

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CoolIT and Accelsius Push Data Center Liquid Cooling Limits Amid Soaring Rack Densities

The CHx1500’s construction reflects CoolIT’s 24 years of DLC experience, using stainless-steel piping and high-grade wetted materials to meet the rigors of enterprise and hyperscale data centers. It’s also designed to scale: not just for today’s most power-hungry processors, but for future platforms expected to surpass today’s limits. Now available for global orders, CoolIT is offering full lifecycle support in over 75 countries, including system design, installation, CDU-to-server certification, and maintenance services—critical ingredients as liquid cooling shifts from high-performance niche to a requirement for AI infrastructure at scale. Capex Follows Thermals: Dell’Oro Forecast Signals Surge In Cooling and Rack Power Infrastructure Between Accelsius and CoolIT, the message is clear: direct liquid cooling is stepping into its maturity phase, with products engineered not just for performance, but for mass deployment. Still, technology alone doesn’t determine the pace of adoption. The surge in thermal innovation from Accelsius and CoolIT isn’t happening in a vacuum. As the capital demands of AI infrastructure rise, the industry is turning a sharper eye toward how data center operators account for, prioritize, and report their AI-driven investments. To wit: According to new market data from Dell’Oro Group, the transition toward high-power, high-density AI racks is now translating into long-term investment shifts across the data center physical layer. Dell’Oro has raised its forecast for the Data Center Physical Infrastructure (DCPI) market, predicting a 14% CAGR through 2029, with total revenue reaching $61 billion. That revision stems from stronger-than-expected 2024 results, particularly in the adoption of accelerated computing by both Tier 1 and Tier 2 cloud service providers. The research firm cited three catalysts for the upward adjustment: Accelerated server shipments outpaced expectations. Demand for high-power infrastructure is spreading to smaller hyperscalers and regional clouds. Governments and Tier 1 telecoms are joining the buildout effort, reinforcing AI as a

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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