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On artificial intelligence, the polar vortex, and LNG

Current conditions: Torrential rains triggered landslides in Indonesia that left at least 17 people dead • Temperatures could reach 115 degrees Fahrenheit in parts of Australia as an extreme heat wave lingers over half the country • The forecast is looking good for some much-needed rain in Southern California this weekend.
A truly historic winter storm slammed Gulf Coast states yesterday, bringing record-breaking snowfall, hazardous ice, and dangerously low temperatures to a region not accustomed to this kind of weather. The system triggered the first-ever blizzard warning along the Gulf Coast. Roughly 4 inches of snow fell in Houston, Texas, the highest one-day snow event ever recorded for the city. About 9 inches blanketed New Orleans, shattering the previous one-day snow record, set in 1963, of 2.7 inches. Milton, Florida, recorded more than 8 inches of snow, double the 1954 state record. An early estimate from AccuWeather puts the economic losses from this storm at somewhere between $14 billion and $17 billion, including “the cost of damage and repairs from burst water pipes, as well as the increased demand for heating and energy.” At least 10 people are known to have died, and tens of thousands are without power.

This extreme winter weather is being driven by the polar vortex, which is a blob of low-pressure and cold air that circulates around the poles. As the National Weather Service explains, “many times during winter in the northern hemisphere, the polar vortex will expand, sending cold air southward with the jet stream.” Researchers are looking into how human-caused climate change is affecting the polar vortex. NOAA stratosphere expert Amy Butler said changes in surface temperature and pressure that result from sea ice loss could alter the atmospheric waves that bump up against the polar vortex. “So the idea would be that even though you have an overall warming trend, you might see an increase in the severity of individual winter weather events in some locations,” she said.
President Trump yesterday announced up to $500 billion in private sector investment to build dozens of AI data centers and their related energy infrastructure across the U.S. OpenAI, SoftBank, and Oracle are among the tech companies combining their efforts under a new joint venture called Stargate. The company will start with a $100 billion commitment, potentially rising to $500 billion over four years. Its first data center will open in Texas. The Associated Press noted that the Stargate project has been in the works for some time. There was no mention of how these data centers would be powered, whether by renewables or fossil fuels. “They have to produce a lot of electricity, and we'll make it possible for them to get that production done very easily at their own plants if they want,” Trump said. “They’ll build at the plant, they’ll build energy generation and that will be incredible.” Last month the Department of Energy issued a report finding that data centers consumed about 4.4% of all of America’s electricity in 2023, and that could reach 12% by 2028.
Somewhat relatedly, tech giant Microsoft signed a deal to buy millions of carbon credits from a Brazilian startup called Re.green that restores the Amazon rainforest. The purchase, which the Financial Times estimates could be worth $200 million, is meant to offset the company’s growing AI emissions. Microsoft’s emissions grew by 30% in 2023 compared to 2020. It has been investing heavily in emissions solutions including direct air carbon capture, nuclear power, carbon-absorbing rocks, and biochar. The new Re.green deal is for 3.5 million credits over 25 years.
In the same speech announcing the AI data center investments, President Trump also said he would issue an executive order to make more water available in California. The comment came as the president discussed the ongoing fire crisis in the state. On Monday he issued a memorandum titled “Putting People Over Fish: Stopping Radical Environmentalism to Provide Water to Southern California,” in which he directed the Interior and Commerce secretaries to “route more water from the Sacramento-San Joaquin Delta to other parts of the state.” The director of California’s Department of Water Resources told CalMatters that Trump’s ideas for water management would “do nothing to improve current water supplies in the Los Angeles basin.”
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President Trump yesterday officially ended the Biden administration’s pause on liquefied natural gas export permits. According to Reuters, the decision “could pave the way for almost 100 million metric tons per annum of additional LNG by 2031 by projects that are significantly advanced.” LNG companies applauded the move. Former President Biden issued the pause so that the DOE could study the environmental and economic impacts of LNG exports. The subsequent DOE report found that:
Through the end of January, Lyft is giving $1.50 ride credits for every time a customer pays NYC’s new $1.50 rideshare congestion fee.
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The spinoff of Lawrence Livermore National Lab has a new 10-point plan to get onto the grid by the 2030s.
One of fusion energy’s newest startups, Inertia Enterprises, is betting that the fastest route to commercial fusion runs through one of the field’s oldest ideas. The company, which raised a $450 million Series A earlier this year, plans to build a power plant based on the laser-driven fusion system pioneered at Lawrence Livermore National Laboratory’s — the only tech yet to have produced more energy from a fusion reaction than it took to initiate it. Now, Inertia has shared its commercialization roadmap exclusively with Heatmap, detailing the 10 near-term capabilities it must demonstrate before this landmark experiment can become a grid-scale power plant by the mid-2030s.
The roadmap offers a route from the national lab’s impressive but commercially impractical fusion demonstrations to an economical power plant capable of producing electricity for the grid. At its core are a set of milestones — mostly aimed at developing cheap, mass-manufacturable components — that Inertia says it must clear before those individual systems can be integrated into a working plant. This road is not necessarily linear, however, as various teams will likely be working on many of these goals simultaneously.
At least the physics of Inertia’s approach are already proven, the startup’s CEO Jeff Lawson told me, pointing to the fusion experiments at Lawrence Livermore’s National Ignition Facility as a proof-of-concept. The lab’s demonstration of net energy gain caps more than six decades and $30 billion (in 2026 dollars) of U.S. fusion research. The remaining challenges, he argued, are all engineering-related, requiring “elbow grease, hard work, and smart people” rather than breakthroughs in fusion science.
"It seems to us like a startup or a commercial company of any variety should be focused on commercializing a proven scientific result, as opposed to actually trying to demonstrate the basic science to begin with," Lawson told me. Basic science, he argues, is better left to national labs and universities, where researchers can pursue "unbounded problems" that don’t align with the expectations and timelines of venture-backed startups.
Indeed, no fusion startup has yet achieved scientific breakeven, the milestone Lawrence Livermore first hit in 2022, and has since repeated numerous times. But leading players such as Commonwealth Fusion Systems and Helion Energy maintain that it’s only a matter of time before they validate the physics behind their own reactor designs, which they claim will be highly cost-competitive.
Lawson, on the other hand, readily acknowledged that Lawrence Livermore’s tech is uneconomical in its current form. His bet is simply that the more predictable path to a commercial reactor is to drive down the cost of the lab’s validated fusion approach, known as inertial confinement. This system relies on high-powered lasers firing at a millimeter-scale pellet of fusion fuel, compressing it to extreme temperatures and pressures until the atoms fuse. Today, the National Ignition Facility makes each individual fusion target by hand, a workable solution given that it only uses about a dozen per year.
That production model, however, isn’t remotely plausible for a grid-scale power plant. Because each fusion reaction lasts just a fraction of a billionth of a second, a commercial facility must fire its lasers at a fresh target about 10 times per second to generate continuous electricity — requiring the production of hundreds of millions of targets each year.
Scaling production to roughly a million pellets per day and making them inexpensive enough for commercial operation without compromising the strength or precision required for fusion ignition is central to Inertia’s roadmap. That includes goals five, seven, eight and nine — industrializing the manufacturing of the carbon shells that hold the fusion fuel, making the thin films that hold those carbon shells both durable and cheap, scaling up and automating fusion target assembly, and speeding up how fast targets are filled with the requisite deuterium-tritium fuel.
The other central focus of the roadmap is the laser system, which will ultimately consist of 1,000 individual units operating in concert to compress and heat the fusion fuel. Key priorities include reducing the system’s cost (goal two), dramatically increasing its firing cadence (goal three), and bolstering its durability to withstand high-intensity operations (goal four). Goal six also complements these efforts, calling for the development of a control system capable of tracking moving fusion targets to precisely align each laser shot.
Goals one and 10 bookend the journey with some broader milestones. The first focuses on increasing the fusion target’s energy gain — the ratio of fusion energy produced to laser energy delivered — to more than 25 times ignition. Today, the National Ignition Facility’s best-performing laser shot has yielded a gain of just over four times what it took to start the reaction. Goal 10 then zooms out to the ultimate objective: integrating all these technologies into a commercially viable power plant that can deliver either electricity or industrial heat to end customers.
To reach that point, Inertia has embarked on an industrial engineering hiring spree, recruiting folks with experience taking complex hardware systems from prototype to mass production, “not unlike the processes that are used in the semiconductor or consumer electronics world,” Lawson explained. The company has been making progress on its component development goals since the beginning of the year, he told me, and expects to announce the successful demonstration of a few of these milestones in the coming months. Lawson ultimately expects Inertia to complete the core components of its laser and target manufacturing systems by the middle of next year.
The team will spend the next two to three years integrating these individual pieces into two fully operational subsystems, a prototype laser system and a target manufacturing line. Around 2030, the company will begin combining those subsystems into a first-of-a-kind fusion power plant, which will also serve as the proving ground for the target chamber, tritium fuel breeding system, and power conversion system that turns fusion heat into electricity. By the middle of the next decade, Inertia aims to be generating power from this first plant, setting the stage for the company to build and connect additional grid-scale commercial power plants.
There are plenty of engineering trade-offs that the company will have to solve for. Take the decision around how to size the target chamber, for example. “If you make it bigger, your walls have an easier time and survive longer, but it’s more expensive. If you make it smaller, your walls have a tougher time because they’re closer to all the heat and energy that the fusion reaction is creating, but now your power plant costs less to build.”
But to Lawson, this represents exactly the type of problem Inertia was built to solve: complex engineering issues that come to the fore once scientists have demonstrated the fundamental physics are sound. He thinks other fusion companies may someday reach this stage, as well — though he’s unwilling to hazard a guess on exactly what approach or startup is best positioned to do so.
“There have been generations of scientists who’ve made their predictions about fusion energy and gotten it wrong,” he told me. “I’m not going to pretend to be smarter than them. All I’m here to say is, just knowing that one did work, we can commercialize it.”