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Inside a new quest to save the “doomsday glacier”

The Thwaites glacier is a fortress larger than Florida, a wall of ice that reaches nearly 4,000 feet above the bedrock of West Antarctica, guarding the low-lying ice sheet behind it. But a strong, warm ocean current is weakening its foundations and accelerating its slide into the Amundsen Sea. Scientists fear the waters could topple the walls in the coming decades, kick-starting a runaway process that would crack up the West Antarctic Ice Sheet. That would mark the start of a global climate disaster. The glacier itself holds enough ice to raise ocean levels by more than two feet, which could flood coastlines and force tens of millions of people living in low-lying areas to abandon their homes. The loss of the entire ice sheet—which could still take centuries to unfold—would push up sea levels by 11 feet and redraw the contours of the continents. This is why Thwaites is known as the doomsday glacier—and why scientists are eager to understand just how likely such a collapse is, when it could happen, and if we have the power to stop it.  Scientists at MIT and Dartmouth College founded Arête Glacier Initiative last year in the hope of providing clearer answers to these questions. The nonprofit research organization will officially unveil itself, launch its website, and post requests for research proposals today, March 21, timed to coincide with the UN’s inaugural World Day for Glaciers, MIT Technology Review can report exclusively.  Arête will also announce it is issuing its first grants, each for around $200,000 over two years, to a pair of glacier researchers at the University of Wisconsin-Madison.  One of the organization’s main goals is to study the possibility of preventing the loss of giant glaciers, Thwaites in particular, by refreezing them to the bedrock. It would represent a radical intervention into the natural world, requiring a massive, expensive engineering project in a remote, treacherous environment.  But the hope is that such a mega-adaptation project could minimize the mass relocation of climate refugees, prevent much of the suffering and violence that would almost certainly accompany it, and help nations preserve trillions of dollars invested in high-rises, roads, homes, ports, and airports around the globe. “About a million people are displaced per centimeter of sea-level rise,” says Brent Minchew, an associate professor of geophysics at MIT, who cofounded Arête Glacier Initiative and will serve as its chief scientist. “If we’re able to bring that down, even by a few centimeters, then we would safeguard the homes of millions.” But some scientists believe the idea is an implausible, wildly expensive distraction, drawing money, expertise, time, and resources away from more essential polar research efforts.  “Sometimes we can get a little over-optimistic about what engineering can do,” says Twila Moon, deputy lead scientist at the National Snow and Ice Data Center at the University of Colorado Boulder. “Two possible futures” Minchew, who earned his PhD in geophysics at Caltech, says he was drawn to studying glaciers because they are rapidly transforming as the world warms, increasing the dangers of sea-level rise.  “But over the years, I became less content with simply telling a more dramatic story about how things were going and more open to asking the question of what can we do about it,” says Minchew, who will return to Caltech as a professor this summer. Last March, he cofounded Arête Glacier Initiative with Colin Meyer, an assistant professor of engineering at Dartmouth, in the hope of funding and directing research to improve scientific understanding of two big questions: How big a risk does sea-level rise pose in the coming decades, and can we minimize that risk? Brent Minchew, an MIT professor of geophysics, co-founded Arête Glacier Initiative and will serve as its chief scientist.COURTESY: BRENT MINCHEW “Philanthropic funding is needed to address both of these challenges, because there’s no private-sector funding for this kind of research and government funding is minuscule,” says Mike Schroepfer, the former Meta chief technology officer turned climate philanthropist, who provided funding to Arête through his new organization, Outlier Projects.  The nonprofit has now raised about $5 million from Outlier and other donors, including the Navigation Fund, the Kissick Family Foundation, the Sky Foundation, the Wedner Family Foundation, and the Grantham Foundation.  Minchew says they named the organization Arête, mainly because it’s the sharp mountain ridge between two valleys, generally left behind when a glacier carves out the cirques on either side. It directs the movement of the glacier and is shaped by it.  It’s meant to symbolize “two possible futures,” he says. “One where we do something; one where we do nothing.” Improving forecasts The somewhat reassuring news is that, even with rising global temperatures, it may still take thousands of years for the West Antarctic Ice Sheet to completely melt.  In addition, sea-level rise forecasts for this century generally range from as little as 0.28 meters (11 inches) to 1.10 meters (about three and a half feet), according to the latest UN climate panel report. The latter only occurs under a scenario with very high greenhouse gas emissions (SSP5-8.5), which significantly exceeds the pathway the world is now on. But there’s still a “low-likelihood” that ocean levels could surge nearly two meters (about six and a half feet) by 2100 that “cannot be excluded,” given “deep uncertainty linked to ice-sheet processes,” the report adds.  Two meters of sea-level rise could force nearly 190 million people to migrate away from the coasts, unless regions build dikes or other shoreline protections, according to some models. Many more people, mainly in the tropics, would face heightened flooding dangers. Much of the uncertainty over what will happen this century comes down to scientists’ limited understanding of how Antarctic ice sheets will respond to growing climate pressures. The initial goal of Arête Glacier Initiative is to help narrow the forecast ranges by improving our grasp of how Thwaites and other glaciers move, melt, and break apart. Gravity is the driving force nudging glaciers along the bedrock and reshaping them as they flow. But many of the variables that determine how fast they slide lie at the base. That includes the type of sediment the river of ice slides along; the size of the boulders and outcroppings it contorts around; and the warmth and strength of the ocean waters that lap at its face. In addition, heat rising from deep in the earth warms the ice closest to the ground, creating a lubricating layer of water that hastens the glacier’s slide. That acceleration, in turn, generates more frictional heat that melts still more of the ice, creating a self-reinforcing feedback effect. Minchew and Meyer are confident that the glaciology field is at a point where it could speed up progress in sea-level rise forecasting, thanks largely to improving observational tools that are producing more and better data. That includes a new generation of satellites orbiting the planet that can track the shifting shape of ice at the poles at far higher resolutions than in the recent past. Computer simulations of ice sheets, glaciers and sea ice are improving as well, thanks to growing computational resources and advancing machine learning techniques. On March 21, Arête will issue a request for proposals from research teams to contribute to an effort to collect, organize, and openly publish existing observational glacier data. Much of that expensively gathered information is currently inaccessible to researchers around the world, Minchew says. Colin Meyer, an assistant professor of engineering at Dartmouth, co-founded Arête Glacier Initiative. By funding teams working across these areas, Arête’s founders hope to help produce more refined ice-sheet models and narrower projections of sea-level rise. This improved understanding would help cities plan where to build new bridges, buildings, and homes, and to determine whether they’ll need to erect higher seawalls or raise their roads, Meyer says. It could also provide communities with more advance notice of the coming dangers, allowing them to relocate people and infrastructure to safer places through an organized process known as managed retreat. A radical intervention But the improved forecasts might also tell us that Thwaites is closer to tumbling into the ocean than we think, underscoring the importance of considering more drastic measures. One idea is to build berms or artificial islands to prop up fragile parts of glaciers, and to block the warm waters that rise from the deep ocean and melt them from below. Some researchers have also considered erecting giant, flexible curtains anchored to the seabed to achieve the latter effect. Others have looked at scattering highly reflective beads or other materials across ice sheets, or pumping ocean water onto them in the hopes it would freeze during the winter and reinforce the headwalls of the glaciers. But the concept of refreezing glaciers in place, know as a basal intervention, is gaining traction in scientific circles, in part because there’s a natural analogue for it. The glacier that stalled About 200 years ago, the Kamb Ice Stream, another glacier in West Antarctica that had been sliding about 350 meters (1,150 feet) per year, suddenly stalled. Glaciologists believe an adjacent ice stream intersected with the catchment area under the glacier, providing a path for the water running below it to flow out along the edge instead. That loss of fluid likely slowed down the Kamb Ice Stream, reduced the heat produced through friction, and allowed water at the surface to refreeze. The deceleration of the glacier sparked the idea that humans might be able to bring about that same phenomenon deliberately, perhaps by drilling a series of boreholes down to the bedrock and pumping up water from the bottom. Minchew himself has focused on a variation he believes could avoid much of the power use and heavy operating machinery hassles of that approach: slipping long tubular devices, known as thermosyphons, down nearly to the bottom of the boreholes.  These passive heat exchangers, which are powered only by the temperature differential between two areas, are commonly used to keep permafrost cold around homes, buildings and pipelines in Arctic regions. The hope is that we could deploy extremely long ones, stretching up to two kilometers and encased in steel pipe, to draw warm temperatures away from the bottom of the glacier, allowing the water below to freeze. Minchew says he’s in the process of producing refined calculations, but estimates that halting Thwaites could require drilling as many as 10,000 boreholes over a 100-square-kilometer area. He readily acknowledges that would be a huge undertaking, but provides two points of comparison to put such a project into context: Melting the necessary ice to create those holes would require roughly the amount of energy all US domestic flights consume from jet fuel in about two and a half hours. Or, it would produce about the same level of greenhouse gas emissions as constructing 10 kilometers of seawalls, a small fraction of the length the world would need to build if it can’t slow down the collapse of the ice sheets, he says. “Kick the system” One of Arête’s initial grantees is Marianne Haseloff, an assistant professor of geoscience at the University of Wisconsin-Madison. She studies the physical processes that govern the behavior of glaciers and is striving to more faithfully represent them in ice sheet models.  Haseloff says she will use those funds to develop mathematical methods that could more accurately determine what’s known as basal shear stress, or the resistance of the bed to sliding glaciers, based on satellite observations. That could help refine forecasts of how rapidly glaciers will slide into the ocean, in varying settings and climate conditions. Arête’s other initial grant will go to Lucas Zoet, an associate professor in the same department as Haseloff and the principal investigator with the Surface Processes group. He intends to use the funds to build the lab’s second “ring shear” device, the technical term for a simulated glacier. The existing device, which is the only one operating in the world, stands about eight feet tall and fills the better part of a walk-in freezer on campus. The core of the machine is a transparent drum filled with a ring of ice, sitting under pressure and atop a layer of sediment. It slowly spins for weeks at a time as sensors and cameras capture how the ice and earth move and deform. Lucas Zoet, an associate professor at the University of Wisconsin–Madison, stands in front of his lab’s “ring shear” device, a simulated glacier.ETHAN PARRISH The research team can select the sediment, topography, water pressure, temperature, and other conditions to match the environment of a real-world glacier of interest, be it Thwaites today—or Thwaites in 2100, under a high greenhouse gas emissions scenario.  Zoet says these experiments promise to improve our understanding of how glaciers move over different types of beds, and to refine an equation known as the slip law, which represents these glacier dynamics mathematically in computer models. The second machine will enable them to run more experiments and to conduct a specific kind that the current device can’t: a scaled-down, controlled version of the basal intervention. Zoet says the team will be able to drill tiny holes through the ice, then pump out water or transfer heat away from the bed. They can then observe whether the simulated glacier freezes to the base at those points and experiment with how many interventions, across how much space, are required to slow down its movement. It offers a way to test out different varieties of the basal intervention that is far easier and cheaper than using water drills to bore to the bottom of an actual glacier in Antarctica, Zoet says. The funding will allow the lab to explore a wide range of experiments, enabling them to “kick the system in a way we wouldn’t have before,” he adds. “Virtually impossible” The concept of glacier interventions is in its infancy. There are still considerable unknowns and uncertainties, including how much it would cost, how arduous the undertaking would be, and which approach would be most likely to work, or if any of them are feasible. “This is mostly a theoretical idea at this point,” says Katharine Ricke, an associate professor at the University of California, San Diego, who researches the international relations implications of geoengineering, among other topics. Conducting extensive field trials or moving forward with full-scale interventions may also require surmounting complex legal questions, she says. Antarctica isn’t owned by any nation, but it’s the subject of competing territorial claims among a number of countries and governed under a decades-old treaty to which dozens are a party. The basal intervention—refreezing the glacier to its bed—faces numerous technical hurdles that would make it “virtually impossible to execute,” Moon and dozens of other researchers argued in a recent preprint paper, “Safeguarding the polar regions from dangerous geoengineering.” Among other critiques, they stress that subglacial water systems are complex, dynamic, and interconnected, making it highly difficult to precisely identify and drill down to all the points that would be necessary to remove enough water or add enough heat to substantially slow down a massive glacier. Further, they argue that the interventions could harm polar ecosystems by adding contaminants, producing greenhouse gases, or altering the structure of the ice in ways that may even increase sea-level rise. “Overwhelmingly, glacial and polar geoengineering ideas do not make sense to pursue, in terms of the finances, the governance challenges, the impacts,” and the possibility of making matters worse, Moon says. “No easy path forward” But Douglas MacAyeal, professor emeritus of glaciology at the University of Chicago, says the basal intervention would have the lightest environmental impact among the competing ideas. He adds that nature has already provided an example of it working, and that much of the needed drilling and pumping technology is already in use in the oil industry. “I would say it’s the strongest approach at the starting gate,” he says, “but we don’t really know anything about it yet. The research still has to be done. It’s very cutting-edge.” Minchew readily acknowledges that there are big challenges and significant unknowns—and that some of these ideas may not work. But he says it’s well worth the effort to study the possibilities, in part because much of the research will also improve our understanding of glacier dynamics and the risks of sea-level rise—and in part because it’s only a question of when, not if, Thwaites will collapse. Even if the world somehow halted all greenhouse gas emissions tomorrow, the forces melting that fortress of ice will continue to do so.  So one way or another, the world will eventually need to make big, expensive, difficult interventions to protect people and infrastructure. The cost and effort of doing one project in Antarctica, he says, would be small compared to the global effort required to erect thousands of miles of seawalls, ratchet up homes, buildings, and roads, and relocate hundreds of millions of people. “One thing is challenging—and the other is even more challenging,” Minchew says. “There’s no easy path forward.”

The Thwaites glacier is a fortress larger than Florida, a wall of ice that reaches nearly 4,000 feet above the bedrock of West Antarctica, guarding the low-lying ice sheet behind it.

But a strong, warm ocean current is weakening its foundations and accelerating its slide into the Amundsen Sea. Scientists fear the waters could topple the walls in the coming decades, kick-starting a runaway process that would crack up the West Antarctic Ice Sheet.

That would mark the start of a global climate disaster. The glacier itself holds enough ice to raise ocean levels by more than two feet, which could flood coastlines and force tens of millions of people living in low-lying areas to abandon their homes.

The loss of the entire ice sheet—which could still take centuries to unfold—would push up sea levels by 11 feet and redraw the contours of the continents.

This is why Thwaites is known as the doomsday glacier—and why scientists are eager to understand just how likely such a collapse is, when it could happen, and if we have the power to stop it. 

Scientists at MIT and Dartmouth College founded Arête Glacier Initiative last year in the hope of providing clearer answers to these questions. The nonprofit research organization will officially unveil itself, launch its website, and post requests for research proposals today, March 21, timed to coincide with the UN’s inaugural World Day for Glaciers, MIT Technology Review can report exclusively. 

Arête will also announce it is issuing its first grants, each for around $200,000 over two years, to a pair of glacier researchers at the University of Wisconsin-Madison. 

One of the organization’s main goals is to study the possibility of preventing the loss of giant glaciers, Thwaites in particular, by refreezing them to the bedrock. It would represent a radical intervention into the natural world, requiring a massive, expensive engineering project in a remote, treacherous environment. 

But the hope is that such a mega-adaptation project could minimize the mass relocation of climate refugees, prevent much of the suffering and violence that would almost certainly accompany it, and help nations preserve trillions of dollars invested in high-rises, roads, homes, ports, and airports around the globe.

“About a million people are displaced per centimeter of sea-level rise,” says Brent Minchew, an associate professor of geophysics at MIT, who cofounded Arête Glacier Initiative and will serve as its chief scientist. “If we’re able to bring that down, even by a few centimeters, then we would safeguard the homes of millions.”

But some scientists believe the idea is an implausible, wildly expensive distraction, drawing money, expertise, time, and resources away from more essential polar research efforts. 

“Sometimes we can get a little over-optimistic about what engineering can do,” says Twila Moon, deputy lead scientist at the National Snow and Ice Data Center at the University of Colorado Boulder.

“Two possible futures”

Minchew, who earned his PhD in geophysics at Caltech, says he was drawn to studying glaciers because they are rapidly transforming as the world warms, increasing the dangers of sea-level rise. 

“But over the years, I became less content with simply telling a more dramatic story about how things were going and more open to asking the question of what can we do about it,” says Minchew, who will return to Caltech as a professor this summer.

Last March, he cofounded Arête Glacier Initiative with Colin Meyer, an assistant professor of engineering at Dartmouth, in the hope of funding and directing research to improve scientific understanding of two big questions: How big a risk does sea-level rise pose in the coming decades, and can we minimize that risk?

Brent Minchew, an MIT professor of geophysics, co-founded Arête Glacier Initiative and will serve as its chief scientist.
COURTESY: BRENT MINCHEW

“Philanthropic funding is needed to address both of these challenges, because there’s no private-sector funding for this kind of research and government funding is minuscule,” says Mike Schroepfer, the former Meta chief technology officer turned climate philanthropist, who provided funding to Arête through his new organization, Outlier Projects

The nonprofit has now raised about $5 million from Outlier and other donors, including the Navigation Fund, the Kissick Family Foundation, the Sky Foundation, the Wedner Family Foundation, and the Grantham Foundation. 

Minchew says they named the organization Arête, mainly because it’s the sharp mountain ridge between two valleys, generally left behind when a glacier carves out the cirques on either side. It directs the movement of the glacier and is shaped by it. 

It’s meant to symbolize “two possible futures,” he says. “One where we do something; one where we do nothing.”

Improving forecasts

The somewhat reassuring news is that, even with rising global temperatures, it may still take thousands of years for the West Antarctic Ice Sheet to completely melt. 

In addition, sea-level rise forecasts for this century generally range from as little as 0.28 meters (11 inches) to 1.10 meters (about three and a half feet), according to the latest UN climate panel report. The latter only occurs under a scenario with very high greenhouse gas emissions (SSP5-8.5), which significantly exceeds the pathway the world is now on.

But there’s still a “low-likelihood” that ocean levels could surge nearly two meters (about six and a half feet) by 2100 that “cannot be excluded,” given “deep uncertainty linked to ice-sheet processes,” the report adds. 

Two meters of sea-level rise could force nearly 190 million people to migrate away from the coasts, unless regions build dikes or other shoreline protections, according to some models. Many more people, mainly in the tropics, would face heightened flooding dangers.

Much of the uncertainty over what will happen this century comes down to scientists’ limited understanding of how Antarctic ice sheets will respond to growing climate pressures.

The initial goal of Arête Glacier Initiative is to help narrow the forecast ranges by improving our grasp of how Thwaites and other glaciers move, melt, and break apart.

Gravity is the driving force nudging glaciers along the bedrock and reshaping them as they flow. But many of the variables that determine how fast they slide lie at the base. That includes the type of sediment the river of ice slides along; the size of the boulders and outcroppings it contorts around; and the warmth and strength of the ocean waters that lap at its face.

In addition, heat rising from deep in the earth warms the ice closest to the ground, creating a lubricating layer of water that hastens the glacier’s slide. That acceleration, in turn, generates more frictional heat that melts still more of the ice, creating a self-reinforcing feedback effect.

Minchew and Meyer are confident that the glaciology field is at a point where it could speed up progress in sea-level rise forecasting, thanks largely to improving observational tools that are producing more and better data.

That includes a new generation of satellites orbiting the planet that can track the shifting shape of ice at the poles at far higher resolutions than in the recent past. Computer simulations of ice sheets, glaciers and sea ice are improving as well, thanks to growing computational resources and advancing machine learning techniques.

On March 21, Arête will issue a request for proposals from research teams to contribute to an effort to collect, organize, and openly publish existing observational glacier data. Much of that expensively gathered information is currently inaccessible to researchers around the world, Minchew says.

Colin Meyer, an assistant professor of engineering at Dartmouth, co-founded Arête Glacier Initiative.

By funding teams working across these areas, Arête’s founders hope to help produce more refined ice-sheet models and narrower projections of sea-level rise.

This improved understanding would help cities plan where to build new bridges, buildings, and homes, and to determine whether they’ll need to erect higher seawalls or raise their roads, Meyer says. It could also provide communities with more advance notice of the coming dangers, allowing them to relocate people and infrastructure to safer places through an organized process known as managed retreat.

A radical intervention

But the improved forecasts might also tell us that Thwaites is closer to tumbling into the ocean than we think, underscoring the importance of considering more drastic measures.

One idea is to build berms or artificial islands to prop up fragile parts of glaciers, and to block the warm waters that rise from the deep ocean and melt them from below. Some researchers have also considered erecting giant, flexible curtains anchored to the seabed to achieve the latter effect.

Others have looked at scattering highly reflective beads or other materials across ice sheets, or pumping ocean water onto them in the hopes it would freeze during the winter and reinforce the headwalls of the glaciers.

But the concept of refreezing glaciers in place, know as a basal intervention, is gaining traction in scientific circles, in part because there’s a natural analogue for it.

The glacier that stalled

About 200 years ago, the Kamb Ice Stream, another glacier in West Antarctica that had been sliding about 350 meters (1,150 feet) per year, suddenly stalled.

Glaciologists believe an adjacent ice stream intersected with the catchment area under the glacier, providing a path for the water running below it to flow out along the edge instead. That loss of fluid likely slowed down the Kamb Ice Stream, reduced the heat produced through friction, and allowed water at the surface to refreeze.

The deceleration of the glacier sparked the idea that humans might be able to bring about that same phenomenon deliberately, perhaps by drilling a series of boreholes down to the bedrock and pumping up water from the bottom.

Minchew himself has focused on a variation he believes could avoid much of the power use and heavy operating machinery hassles of that approach: slipping long tubular devices, known as thermosyphons, down nearly to the bottom of the boreholes. 

These passive heat exchangers, which are powered only by the temperature differential between two areas, are commonly used to keep permafrost cold around homes, buildings and pipelines in Arctic regions. The hope is that we could deploy extremely long ones, stretching up to two kilometers and encased in steel pipe, to draw warm temperatures away from the bottom of the glacier, allowing the water below to freeze.

Minchew says he’s in the process of producing refined calculations, but estimates that halting Thwaites could require drilling as many as 10,000 boreholes over a 100-square-kilometer area.

He readily acknowledges that would be a huge undertaking, but provides two points of comparison to put such a project into context: Melting the necessary ice to create those holes would require roughly the amount of energy all US domestic flights consume from jet fuel in about two and a half hours. Or, it would produce about the same level of greenhouse gas emissions as constructing 10 kilometers of seawalls, a small fraction of the length the world would need to build if it can’t slow down the collapse of the ice sheets, he says.

“Kick the system”

One of Arête’s initial grantees is Marianne Haseloff, an assistant professor of geoscience at the University of Wisconsin-Madison. She studies the physical processes that govern the behavior of glaciers and is striving to more faithfully represent them in ice sheet models. 

Haseloff says she will use those funds to develop mathematical methods that could more accurately determine what’s known as basal shear stress, or the resistance of the bed to sliding glaciers, based on satellite observations. That could help refine forecasts of how rapidly glaciers will slide into the ocean, in varying settings and climate conditions.

Arête’s other initial grant will go to Lucas Zoet, an associate professor in the same department as Haseloff and the principal investigator with the Surface Processes group.

He intends to use the funds to build the lab’s second “ring shear” device, the technical term for a simulated glacier.

The existing device, which is the only one operating in the world, stands about eight feet tall and fills the better part of a walk-in freezer on campus. The core of the machine is a transparent drum filled with a ring of ice, sitting under pressure and atop a layer of sediment. It slowly spins for weeks at a time as sensors and cameras capture how the ice and earth move and deform.

Lucas Zoet, an associate professor at the University of Wisconsin–Madison, stands in front of his lab’s “ring shear” device, a simulated glacier.
ETHAN PARRISH

The research team can select the sediment, topography, water pressure, temperature, and other conditions to match the environment of a real-world glacier of interest, be it Thwaites today—or Thwaites in 2100, under a high greenhouse gas emissions scenario. 

Zoet says these experiments promise to improve our understanding of how glaciers move over different types of beds, and to refine an equation known as the slip law, which represents these glacier dynamics mathematically in computer models.

The second machine will enable them to run more experiments and to conduct a specific kind that the current device can’t: a scaled-down, controlled version of the basal intervention.

Zoet says the team will be able to drill tiny holes through the ice, then pump out water or transfer heat away from the bed. They can then observe whether the simulated glacier freezes to the base at those points and experiment with how many interventions, across how much space, are required to slow down its movement.

It offers a way to test out different varieties of the basal intervention that is far easier and cheaper than using water drills to bore to the bottom of an actual glacier in Antarctica, Zoet says. The funding will allow the lab to explore a wide range of experiments, enabling them to “kick the system in a way we wouldn’t have before,” he adds.

“Virtually impossible”

The concept of glacier interventions is in its infancy. There are still considerable unknowns and uncertainties, including how much it would cost, how arduous the undertaking would be, and which approach would be most likely to work, or if any of them are feasible.

“This is mostly a theoretical idea at this point,” says Katharine Ricke, an associate professor at the University of California, San Diego, who researches the international relations implications of geoengineering, among other topics.

Conducting extensive field trials or moving forward with full-scale interventions may also require surmounting complex legal questions, she says. Antarctica isn’t owned by any nation, but it’s the subject of competing territorial claims among a number of countries and governed under a decades-old treaty to which dozens are a party.

The basal intervention—refreezing the glacier to its bed—faces numerous technical hurdles that would make it “virtually impossible to execute,” Moon and dozens of other researchers argued in a recent preprint paper, “Safeguarding the polar regions from dangerous geoengineering.”

Among other critiques, they stress that subglacial water systems are complex, dynamic, and interconnected, making it highly difficult to precisely identify and drill down to all the points that would be necessary to remove enough water or add enough heat to substantially slow down a massive glacier.

Further, they argue that the interventions could harm polar ecosystems by adding contaminants, producing greenhouse gases, or altering the structure of the ice in ways that may even increase sea-level rise.

“Overwhelmingly, glacial and polar geoengineering ideas do not make sense to pursue, in terms of the finances, the governance challenges, the impacts,” and the possibility of making matters worse, Moon says.

“No easy path forward”

But Douglas MacAyeal, professor emeritus of glaciology at the University of Chicago, says the basal intervention would have the lightest environmental impact among the competing ideas. He adds that nature has already provided an example of it working, and that much of the needed drilling and pumping technology is already in use in the oil industry.

“I would say it’s the strongest approach at the starting gate,” he says, “but we don’t really know anything about it yet. The research still has to be done. It’s very cutting-edge.”

Minchew readily acknowledges that there are big challenges and significant unknowns—and that some of these ideas may not work.

But he says it’s well worth the effort to study the possibilities, in part because much of the research will also improve our understanding of glacier dynamics and the risks of sea-level rise—and in part because it’s only a question of when, not if, Thwaites will collapse.

Even if the world somehow halted all greenhouse gas emissions tomorrow, the forces melting that fortress of ice will continue to do so. 

So one way or another, the world will eventually need to make big, expensive, difficult interventions to protect people and infrastructure. The cost and effort of doing one project in Antarctica, he says, would be small compared to the global effort required to erect thousands of miles of seawalls, ratchet up homes, buildings, and roads, and relocate hundreds of millions of people.

“One thing is challenging—and the other is even more challenging,” Minchew says. “There’s no easy path forward.”

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Constellation Energy looks to demand response to accommodate load growth

BY THE NUMBERS: Constellation Energy Q3 2025 5.8 GW Power generation and battery storage Constellation is proposing to bring online in Maryland to meet rising demand for electricity. 1 GW The capacity the utility hopes to add to its demand response programs. “A full nuclear unit’s worth of output,” said Jim McHugh, the company’s chief commercial officer. 19 TWh Electric load served to the Mid-Atlantic in Q3 2025. 46,477 GWh Produced by Constellation’s nuclear fleet in the third quarter, compared with 45,510 GWh last year. ‘Strong pipeline’ for demand response products Constellation Energy is “seeing a lot of great capability to use backup generation and flex compute,” President and CEO Joe Dominguez said in the company’s third-quarter earnings call on Friday. He added, however, that “I don’t think we’re going to get to a point where we could flex on and off the full output of data centers.” Dominguez said the company is exploring using artificial intelligence to “attract some of our other customers to actually providing the relief or the slack on the system during the key hours,” then “use their own backup generation or curtail their own consumption of energy during peak hours.” A lot of Constellation’s customers have shown interest in demand response products, and the pipeline for that “looks really strong right now,” said Chief Commercial Officer Jim McHugh. “We’ve found this kind of unique opportunity,” McHugh said. “We’re trying to be innovative around the product structure itself … We started executing [deals], working towards 1,000 MW or so in between now and the next couple of capacity auctions.” McHugh noted that 1 GW “portends to look like a full nuclear unit’s worth of output in terms of demand response.” “I think we’re still in the early days of this,” he said. “I think the combination of

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Energy Department Awards Contracts to Begin Refilling the Strategic Petroleum Reserve

The U.S. Department of Energy announced contracts have been awarded for the acquisition of one million barrels of crude oil for the Strategic Petroleum Reserve (SPR).  WASHINGTON— The U.S. Department of Energy (DOE) today announced that contracts have been awarded for the acquisition of approximately one million barrels of crude oil for the Strategic Petroleum Reserve (SPR). The contracts awarded on November 12, 2025, are for deliveries beginning in December 2025 through January 2026 to the Bryan Mound site. This announcement follows the Request for Proposal (RFP) that was announced on October 21, 2025.  President Trump promised to refill the SPR and rebuild America’s strategic strength. Currently, the SPR holds just over 400 million barrels out of its capacity of approximately 700 million barrels. The SPR was severely weakened by the previous administration’s reckless 180-million-barrel drawdown in 2022, which incurred nearly $280 million in costs, delayed critical infrastructure maintenance and put unprecedented wear and tear on storage and injection facilities.   “President Trump promised to protect America’s energy security by refilling and managing the Strategic Petroleum Reserve more responsibly,” said U.S. Secretary of Energy Chris Wright. “Awarding these contracts marks another step in the important process of refilling this national security asset. While this process won’t be complete overnight, these actions are an important step in strengthening our energy security and reversing the costly and irresponsible energy policies of the last administration.”  In response to the RFP, DOE received eighteen offers from six companies and awarded contracts to the most competitive bids that met all quality and specification requirements. Crude oil deliveries to the Bryan Mound SPR site are scheduled from December 1, 2025 through January 31, 2026.  For more information on the SPR please visit Infographic: Strategic Petroleum Reserve and Fact Sheet: Strategic Petroleum Reserve. ###

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Gulf Energy Plans Production from Tullow Fields End-2026

Gulf Energy Ltd., a Nairobi-based oil and gas trader that bought Tullow Oil Plc’s crude discoveries in Kenya, plans to start production next year, according to a top official. Tullow agreed to sell the assets to the local firm in April for $120 million — after attempts over more than a decade to develop the finds — as it focuses on paying down debt. Kenya’s regulator required a field development plan from the buyer for the deal to proceed. Tullow received the first $40 million tranche in September. Kenya gave an initial approval for Gulf Energy’s plan for the South Lokichar project, Cabinet Secretary for Energy Opiyo Wandayi said. “I will be forwarding the approved FDP to Parliament for ratification.” After the plan is ratified, the contractor will start the project and investments will be outlined, Wandayi said. “First oil is expected by December 2026.” WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed.

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Xcel, Colorado agencies propose extending life of Comanche 2 coal unit

Listen to the article 4 min This audio is auto-generated. Please let us know if you have feedback. Dive Brief: Xcel Energy, the Colorado Energy Office, Colorado Public Utilities Commission staff and the Colorado Office of the Utility Consumer Advocate have asked state regulators to approve a one-year operating extension for the coal-fired Comanche Unit 2, which is slated to close at the end of this year. Rising peak demand, an unplanned outage at Comanche Unit 3 and several other factors are driving the need, the parties said Monday. Comanche 2 has a nameplate capacity of 335 MW and an accredited capacity of 296 MW. The 750-MW Comanche 3 is not expected to resume operations until June at the earliest, according to the petition to the Colorado Public Utilities Commission. Operating Unit 2 in its stead is a “cost effective, nearterm solution,” the parties concluded. Dive Insight: Comanche 3 is the largest coal unit in Colorado and it’s been “an albatross around the neck of Xcel ratepayers,” Erin Overturf, clean energy director at Western Resources Advocates, said in a statement. The troubled unit has been offline for part or all of 138 days for the two years beginning in early August 2023, according to WRA. “This request to delay the long-planned retirement of Comanche 2 will lead to increased costs for utility customers at a time when people are already economically struggling,” Overturf said. And keeping Comanche 2 online without a requirement to limit operations, even if Comanche 3 resumes generating electricity, creates additional pollution risks, the group said.    “WRA will be reviewing this petition carefully, with a focus on reducing the potential environmental and economic harm” said Overturf. Xcel has been planning to retire Comanche 2 since 2018, but in its petition the utility and parties said “the ensuing years have brought numerous

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Venture Global Bags Long-Term LNG Supply Contracts

United States liquefied natural gas (LNG) producer Venture Global Inc this week announced multiple long-term contracts to supply three Greek, Japanese and Spanish companies. Atlantic-See LNG Trade SA, formed this month by Greek companies Aktor Group and DEPA Commercial SMSA, committed to at least 0.5 million metric tons per annum (MMtpa) of United States-produced LNG for 20 years from 2030. “Under the SPA [sale and purchase agreement], Atlantic-See has the potential to expand its purchase commitment”, Venture Global said in a press release. “This deal marks Greece’s first ever long-term LNG supply agreement with a U.S. exporter, launching a dynamic and growing partnership between Atlantic-See LNG and Venture Global”, Venture Global said. The agreement between Venture Global and Atlantic-See LNG Trade was signed at the Partnership for Transatlantic Energy Cooperation summit between Central and Eastern European countries and the U.S. Separately Venture Global said it had bagged a contract to supply Tokyo-based Mitsui & Co Ltd one MMtpa for 20 years from 2029. “This collaboration between our two companies will strengthen energy security, enhance the balance of trade and deepen the long-standing ties between our nations”, said Venture Global chief executive Mike Sabel. “This agreement builds upon our existing long-term relationships with Japanese companies”. Spain’s Naturgy also contracted Venture Global for one MMtpa for 20 years from 2030. “The agreement represents Spain’s first long-term contract for American LNG since Venture Global’s first contract in 2018”, Venture Global said in another statement. “To date, Venture Global has supplied Spain with 35 cargos from its Calcasieu Pass and Plaquemines facilities”. Sabel said, “This contract will positively impact the U.S. balance of trade with Spain and enhance energy security across the region”. “The signing of this agreement, along with the strong commercial momentum we’ve achieved over the past six months, reflects the continued customer

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When the Cloud Leaves Earth: Google and NVIDIA Test Space Data Centers for the Orbital AI Era

On November 4, 2025, Google unveiled Project Suncatcher, a moonshot research initiative exploring the feasibility of AI data centers in space. The concept envisions constellations of solar-powered satellites in Low Earth Orbit (LEO), each equipped with Tensor Processing Units (TPUs) and interconnected via free-space optical laser links. Google’s stated objective is to launch prototype satellites by early 2027 to test the idea and evaluate scaling paths if the technology proves viable. Rather than a commitment to move production AI workloads off-planet, Suncatcher represents a time-bound research program designed to validate whether solar-powered, laser-linked LEO constellations can augment terrestrial AI factories, particularly for power-intensive, latency-tolerant tasks. The 2025–2027 window effectively serves as a go/no-go phase to assess key technical hurdles including thermal management, radiation resilience, launch economics, and optical-link reliability. If these milestones are met, Suncatcher could signal the emergence of a new cloud tier: one that scales AI with solar energy rather than substations. Inside Google’s Suncatcher Vision Google has released a detailed technical paper titled “Towards a Future Space-Based, Highly Scalable AI Infrastructure Design.” The accompanying Google Research blog describes Project Suncatcher as “a moonshot exploring a new frontier” – an early-stage effort to test whether AI compute clusters in orbit can become a viable complement to terrestrial data centers. The paper outlines several foundational design concepts: Orbit and Power Project Suncatcher targets Low Earth Orbit (LEO), where solar irradiance is significantly higher and can remain continuous in specific orbital paths. Google emphasizes that space-based solar generation will serve as the primary power source for the TPU-equipped satellites. Compute and Interconnect Each satellite would host Tensor Processing Unit (TPU) accelerators, forming a constellation connected through free-space optical inter-satellite links (ISLs). Together, these would function as a disaggregated orbital AI cluster, capable of executing large-scale batch and training workloads. Downlink

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Cloud-based GPU savings are real – for the nimble

The pattern points to an evolving GPU ecosystem: while top-tier chips like Nvidia’s new GB200 Blackwell processors remain in extremely short supply, older models such as the A100 and H100 are becoming cheaper and more available. Yet, customer behavior may not match practical needs. “Many are buying the newest GPUs because of FOMO—the fear of missing out,” he added. “ChatGPT itself was built on older architecture, and no one complained about its performance.” Gil emphasized that managing cloud GPU resources now requires agility, both operationally and geographically. Spot capacity fluctuates hourly or even by the minute, and availability varies across data center regions. Enterprises willing to move workloads dynamically between regions—often with the help of AI-driven automation—can achieve cost reductions of up to 80%. “If you can move your workloads where the GPUs are cheap and available, you pay five times less than a company that can’t move,” he said. “Human operators can’t respond that fast automation is essential.” Conveniently, Cast sells an AI automation solution. But it is not the only one and the argument is valid. If spot pricing can be found cheaper at another location, you want to take it to keep the cloud bill down/ Gil concluded by urging engineers and CTOs to embrace flexibility and automation rather than lock themselves into fixed regions or infrastructure providers. “If you want to win this game, you have to let your systems self-adjust and find capacity where it exists. That’s how you make AI infrastructure sustainable.”

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Harnessing Gravity: RRPT Hydro Reimagines Data Center Power

At the 2025 Data Center Frontier Trends Summit, amid panels on AI, nuclear, and behind-the-meter power, few technologies stirred more curiosity than a modular hydropower system without dams or flowing rivers. That concept—piston-driven hydropower—was presented by Expanse Energy Corporation President and CEO Ed Nichols and Chief Electrical Engineer Gregory Tarver during the Trends Summit’s closing “6 Moonshots for the 2026 Data Center Frontier” panel. Nichols and Tarver joined the Data Center Frontier Show recently to discuss how their Reliable Renewable Power Technology (RRPT Hydro) platform could rewrite the economics of clean, resilient power for the AI era. A New Kind of Hydropower Patented in the U.S. and entering commercial readiness, RRPT Hydro’s system replaces flowing water with a gravity-and-buoyancy engine housed in vertical cylinders. Multiple pistons alternately sink and rise inside these cylinders—heavy on the downward stroke, buoyant on the upward—creating continuous motion that drives electrical generation. “It’s not perpetual motion,” Nichols emphasizes. “You need a starter source—diesel, grid, solar, anything—but once in motion, the system sustains itself, converting gravity’s constant pull and buoyancy’s natural lift into renewable energy.” The concept traces its roots to a moment of natural awe. Its inventor, a gas-processing engineer, was moved to action by the 2004 Boxing Day tsunami, seeking a way to “containerize” and safely harvest the vast energy seen in that disaster. Two decades later, that spark has evolved into a patented, scalable system designed for industrial deployment. Physics-Based Power: Gravity Down, Buoyancy Up Each RRPT module operates as a closed-loop hydropower system: On the downstroke, pistons filled with water become dense and fall under gravity, generating kinetic energy. On the upstroke, air ballast tanks lighten the pistons, allowing buoyant forces to restore potential energy. By combining gravitational and buoyant forces—both constant, free, and renewable—RRPT converts natural equilibrium into sustained mechanical power.

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Buyer’s guide to AI networking technology

Extreme Networks: AI management over AI hardware Extreme deliberately prioritizes AI-powered network management over building specialized hyperscale AI infrastructure, a pragmatic positioning for a vendor targeting enterprise and mid-market.Named a Leader in IDC MarketScape: Worldwide Enterprise Wireless LAN 2025 (October 2025) for AI-powered automation, flexible deployment options and expertise in high-density environments. The company specializes in challenging wireless environments including stadiums, airports and historic venues (Fenway Park, Lambeau Field, Dubai World Trade Center, Liverpool FC’s Anfield Stadium). Key AI networking hardware 8730 Switch: 32×400GbE QSFP-DD fixed configuration delivering 12.8 Tbps throughput in 2RU for IP fabric spine/leaf designs. Designed for AI and HPC workloads with low latency, robust traffic management and power efficiency. Runs Extreme ONE OS (microservices architecture). Supports integrated application hosting with dedicated CPU for VM-based apps. Available Q3 2025. 7830 Switch: High-density 100G/400G fixed-modular core switch delivering 32×100Gb QSFP28 + 8×400Gb QSFP-DD ports with two VIM expansion slots. VIM modules enable up to 64×100Gb or 24×400Gb total capacity with 12.8 Tbps throughput in 2RU. Powered by Fabric Engine OS. Announced May 2025, available Q3 2025. Wi-Fi 7 access points: AP4020 (indoor) and AP4060 (outdoor with external antenna support, GA September 2025) completing premium Wi-Fi 7 portfolio. Extreme Platform ONE:Generally available Q3 2025 with 265+ customers. Integrates conversational, multimodal and agentic AI with three agents (AI Expert, AI Canvas, Service AI Agent) cutting resolution times 98%. Includes embedded Universal ZTNA and two-tier simplified licensing. ExtremeCloud IQ: Cloud-based network management integrating wireless, wired and SD-WAN with AI/ML capabilities and digital twin support for testing configurations before deployment. Extreme Fabric: Native SPB-based Layer 2 fabric with sub-second convergence, automated macro and micro-segmentation and free licensing (no controllers required). Multi-area fabric architecture solves traditional SPB scaling limitations. Analyst Rankings: Market leadership in AI networking Foundry Each of the vendors has its

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Microsoft’s In-Chip Microfluidics Technology Resets the Limits of AI Cooling

Raising the Thermal Ceiling for AI Hardware As Microsoft positions it, the significance of in-chip microfluidics goes well beyond a novel way to cool silicon. By removing heat at its point of generation, the technology raises the thermal ceiling that constrains today’s most power-dense compute devices. That shift could redefine how next-generation accelerators are designed, packaged, and deployed across hyperscale environments. Impact of this cooling change: Higher-TDP accelerators and tighter packing. Where thermal density has been the limiting factor, in-chip microfluidics could enable denser server sleds—such as NVL- or NVL-like trays—or allow higher per-GPU power budgets without throttling. 3D-stacked and HBM-heavy silicon. Microsoft’s documentation explicitly ties microfluidic cooling to future 3D-stacked and high-bandwidth-memory (HBM) architectures, which would otherwise be heat-limited. By extracting heat inside the package, the approach could unlock new levels of performance and packaging density for advanced AI accelerators. Implications for the AI Data Center If microfluidics can be scaled from prototype to production, its influence will ripple through every layer of the data center, from the silicon package to the white space and plant. The technology touches not only chip design but also rack architecture, thermal planning, and long-term cost models for AI infrastructure. Rack densities, white space topology, and facility thermals Raising thermal efficiency at the chip level has a cascading effect on system design: GPU TDP trajectory. Press materials and analysis around Microsoft’s collaboration with Corintis suggest the feasibility of far higher thermal design power (TDP) envelopes than today’s roughly 1–2 kW per device. Corintis executives have publicly referenced dissipation targets in the 4 kW to 10 kW range, highlighting how in-chip cooling could sustain next-generation GPU power levels without throttling. Rack, ring, and row design. By removing much of the heat directly within the package, microfluidics could reduce secondary heat spread into boards and

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Designing the AI Century: 7×24 Exchange Fall ’25 Charts the New Data Center Industrial Stack

SMRs and the AI Power Gap: Steve Fairfax Separates Promise from Physics If NVIDIA’s Sean Young made the case for AI factories, Steve Fairfax offered a sobering counterweight: even the smartest factories can’t run without power—and not just any power, but constant, high-availability, clean generation at a scale utilities are increasingly struggling to deliver. In his keynote “Small Modular Reactors for Data Centers,” Fairfax, president of Oresme and one of the data center industry’s most seasoned voices on reliability, walked through the long arc from nuclear fusion research to today’s resurgent interest in fission at modular scale. His presentation blended nuclear engineering history with pragmatic counsel for AI-era infrastructure leaders: SMRs are promising, but their road to reality is paved with physics, fuel, and policy—not PowerPoint. From Fusion Research to Data Center Reliability Fairfax began with his own story—a career that bridges nuclear reliability and data center engineering. As a young physicist and electrical engineer at MIT, he helped build the Alcator C-MOD fusion reactor, a 400-megawatt research facility that heated plasma to 100 million degrees with 3 million amps of current. The magnet system alone drew 265,000 amps at 1,400 volts, producing forces measured in millions of pounds. It was an extreme experiment in controlled power, and one that shaped his later philosophy: design for failure, test for truth, and assume nothing lasts forever. When the U.S. cooled on fusion power in the 1990s, Fairfax applied nuclear reliability methods to data center systems—quantifying uptime and redundancy with the same math used for reactor safety. By 1994, he was consulting for hyperscale pioneers still calling 10 MW “monstrous.” Today’s 400 MW campuses, he noted, are beginning to look a lot more like reactors in their energy intensity—and increasingly, in their regulatory scrutiny. Defining the Small Modular Reactor Fairfax defined SMRs

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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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