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Following court decisions that blocked some NIH grant cancellations or rendered them “void” and “illegal,” NIH official Michelle Bulls in late June told staffers to stop terminating grants. However, NCI workers told KFF Health News they continue to review grants flagged by NIH to assess whether they align with Trump administration priorities. Courts have ordered NIH to reinstate some terminated grants, but not all of them.
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At NCI and across NIH, staffers remain anxious.

The White House wants Congress to slash the cancer institute’s budget by nearly 40%, to $4.53 billion, as part of a larger proposal to sharply reduce NIH’s fiscal 2026 coffers.
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Bhattacharya has said he wants NIH to fund more big, breakthrough research. Major cuts could have the opposite effect, Knudsen said. When NCI funding shrinks, “it’s the safe science that tends to get funded, not the science that is game changing and has the potential to be transformative for cures.”

Usually the president’s budget is dead on arrival in Congress, and members of both parties have expressed doubt about Trump’s 2026 proposal. But agency workers, outside scientists, and patients fear this one may stick, with devastating impact.

It would force NCI to suspend all new grants or cut existing grants so severely that the gaps will close many labs, said Varmus, who ran NCI from 2010 to 2015. Add that to the impact on NCI’s contracts, clinical trials, internal research, and salaries, he said, and “you can reliably say that NCI will be unable to keep up in any way with the promise of science that’s currently underway.”

The NCI laboratory chief, who has worked at the institute for decades, put it this way: “If the 40% budget cut passes in Congress, it will destroy clinical research at NCI.”

KFF Health News Correspondent Rae Ellen Bichell contributed to this report.

KFF Health News is a national newsroom that produces in-depth journalism about health issues and is one of the core operating programs at KFF — the independent source for health policy research, polling, and journalism.

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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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Guatemala has pledged a 40% increase in deportation flights carrying Guatemalans and migrants of other nationalities from the United States, President Bernardo Arevalo announced Wednesday during a press conference with US Secretary of State Marco Rubio.
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Guatemala has also agreed to create a task force for border control and protection along the country’s eastern borders. The force, composed of members of the National Police and army, will be tasked with fighting “all forms of transnational crime,” Arevalo said.
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Foreign nationals who arrive in Guatemala through deportation flights will be repatriated to their home countries, Arevalo said, adding that the US and Guatemala would continue to have talks on how the process would work and how the US would cooperate.
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Arevalo also said that Rubio has voiced his support for developing infrastructure projects in the Central American nation. He added that his government would send a delegation to Washington in the coming weeks to negotiate deals for economic investments in Guatemala – which he said would incentivize Guatemalans to stay in their home country and not migrate to the US.

Arevalo said Guatemala has not had any discussions about receiving criminals from the US as El Salvador’s president has offered. He also insisted his country has not reached a “safe third country” agreement with the United States, which would require migrants who pass through Guatemala to apply for asylum there rather than continuing to the US.
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