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NCI, which has long benefited from enthusiastic bipartisan support, now faces an exodus of clinicians, scientists, and other staffers, some fired, others leaving in exasperation.
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After years of accelerating progress that has reduced cancer deaths by a third since the 1990s, the institute has terminated funds nationwide for research to fight the disease, expand care, and train new oncologists. “We use the word ‘drone attack’ now regularly,” one worker said of grant terminations. “It just happens from above.”
The assault could well result in a perceptible slowing of progress in the fight against cancer.
Nearly 2 million Americans are diagnosed with malignancies every year. In 2023, cancer killed more than 613,000 people, making it the second leading cause of death after heart disease. But the cancer fight has also made enormous progress. Cancer mortality in the U.S. has fallen by 34% since 1991, according to the American Cancer Society. There are roughly 18 million cancer survivors in the country.
That trend “we can very, very closely tie to the enhanced investment in cancer science by the U.S. government,” said Karen Knudsen, CEO of the Parker Institute for Cancer Immunotherapy and a globally recognized expert on prostate cancer.
This article is based on interviews with nearly two dozen current and former NCI employees, academic researchers, scientists, and patients. KFF Health News agreed not to name some government workers because they are not authorized to speak to the news media and fear retaliation.
“It’s horrible. It’s a crap show. It really, really is,” said an NCI laboratory chief who has worked at the institute for three decades. He’s lost six of the 30 people in his lab this year: four scientists, a secretary, and an administrator.https://solar-queen.com/
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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.
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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.
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