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    “It’s true that both plants are not yet operating at the capacity we originally targeted,” said the Climeworks spokesperson.
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    “Like all transformative innovations, progress is iterative, and some steps may take longer than anticipated,” they said.

    The company’s prospective third plant in Louisiana aims to remove 1 million tons of carbon a year by 2030, but it’s uncertain whether construction will proceed under the Trump administration.

    A Department of Energy spokesperson said a department-wide review was underway “to ensure all activities follow the law, comply with applicable court orders and align with the Trump administration’s priorities.” The government has a mandate “to unleash ‘American Energy Dominance’,” they added.

    Direct air capture’s success will also depend on companies’ willingness to buy carbon credits.
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    Currently companies are pretty free to “use the atmosphere as a waste dump,” said Holly Buck, assistant professor of environment and sustainability at the University at Buffalo. “This lack of regulation means there is not yet a strong business case for cleaning this waste up,” she told CNN.

    Another criticism leveled at Climeworks is its failure to offset its own climate pollution. The carbon produced by its corporate activities, such as office space and travel, outweighs the carbon removed by its plants.

    The company says its plants already remove more carbon than they produce and corporate emissions “will become irrelevant as the size of our plants scales up.”

    Some, however, believe the challenges Climeworks face tell a broader story about direct air capture.

    This should be a “wake-up call,” said Lili Fuhr, director of the fossil economy program at the Center for International Environmental Law. Climeworks’ problems are not “outliers,” she told CNN, “but reflect persistent technical and economic hurdles faced by the direct air capture industry worldwide.”

    “The climate crisis demands real action, not speculative tech that overpromises and underdelivers.” she added.

    Some of the Climeworks’ problems are “related to normal first-of-a-kind scaling challenges with emerging complex engineering projects,” Buck said.

    But the technology has a steep path to becoming cheaper and more efficient, especially with US slashing funding for climate policies, she added. “This kind of policy instability and backtracking on contracts will be terrible for a range of technologies and innovations, not just direct air capture.”

    Direct air capture is definitely feasible but its hard, said MIT’s Buck. Whether it succeeds will depend on a slew of factors including technological improvements and creating markets for carbon removals, he said.

    “At this point in time, no one really knows how large a role direct air capture will play in the future.”

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    “AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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    Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”

    For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.

    Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.

    “Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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    If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.

    Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.

    When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.

    Why it’s hard to measure AI’s environmental impact
    Putting a number on the environmental impact of AI has proved challenging.

    The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
    That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.

    Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.

    “You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.

    One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.

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    NASA scientists are in a state of anxious limbo after the Trump administration proposed a budget that would eliminate one of the United States’ top climate labs – the NASA Goddard Institute for Space Studies, or GISS – as a standalone entity.
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    In its place, it would move some of the lab’s functions into a broader environmental modeling effort across the agency.

    Career specialists are now working remotely, awaiting details and even more unsure about their future at the lab after they were kicked out of their longtime home in New York City last week. Closing the lab for good could jeopardize its value and the country’s leadership role in global climate science, sources say.

    “It’s an absolute sh*tshow,” one GISS scientist said under condition of anonymity because they were not authorized to speak to the media. “Morale at GISS has never been lower, and it feels for all of us that we are being abandoned by NASA leadership.”

    “We are supposedly going to be integrated into this new virtual NASA modeling institute, but (we have) no idea what that will actually look like,” they said.

    NASA is defending its budget proposal, with a nod toward the lab’s future.
    “NASA’s GISS has a significant place in the history of space science and its work is critical for the Earth Science Division, particularly as the division looks to the future of its modeling work and capabilities,” NASA spokesperson Cheryl Warner said in a statement.

    “Fundamental contributions in research and applications from GISS directly impact daily life by showing the Earth system connections that impact the air we breathe, our health, the food we grow, and the cities we live in,” Warner said.

    GISS has a storied history in climate science on the global scale.

    James Hansen, a former director, first called national attention to human-caused global warming at a Senate hearing during the hot summer of 1988. The lab, founded in 1961, is still known worldwide for its computer modeling of the planet that enable scientists to make projections for how climate change may affect global temperatures, precipitation, extreme weather events and other variables.

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