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In early April, when the dust settled after mass firings across HHS, workers in NCI’s communications office were relieved they still had their jobs.
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It didn’t last. A month later, HHS fired nearly all of them, three former workers said. Combined with retirements and other departures, a skeleton crew of six or seven remain of about 75 people. “We were all completely blindsided,” a fired worker said. NCI leadership “had no idea that this was happening.”
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As a result, websites, newsletters, and other resources for patients and doctors about the latest evidence in cancer treatment aren’t being updated. They include Cancer.gov and NCI’s widely used Physician Data Query, which compile research findings that doctors turn to when caring for cancer patients.
Gary Kreps, founding director of the Center for Health and Risk Communication at George Mason University, said he relied on Physician Data Query when his father was diagnosed with advanced stomach cancer, taking PDQ printouts when he met with his dad’s doctors. “It made a huge difference,” Kreps said. “He ended up living, like, another three years” longer than expected “and enjoyed the rest of his life.”
As of May 30, banners at the top of the Cancer.gov and PDQ websites said, “Due to HHS restructuring and reduction in workforce efforts, the information on this website may not be up to date and pages will indicate as such.” The banners are gone, but neither website was being updated, according to a fired worker with knowledge of the situation.
Outdated PDQ information is “really very dangerous,” Kreps said.
Wiping out NCI’s communications staff makes it harder to share complex and ever-changing information that doctors and patients need, said Peter Garrett, who headed NCI’s communications before retiring in May. Garrett said he left because of concerns about political interference.
“The science isn’t finished until it’s communicated,” he said. “Without the government playing that role, who’s going to step in?”
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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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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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The Goodsons didn’t start out intending to build a home. The couple scoured the southern Maine housing market for nearly two years, striking out time after time.
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House-hunting in cities comes with the same problem. When Tim Buntel and Cynthia Graber started looking for homes in Somerville, Massachusetts, they kept finding condos listed for far more than they were worth.
“They were often very expensive, and they were flips,” Graber said. “Developers come in, they take old properties and do a lot of things that are pretty in their eyes. And it’s really crappy quality.”
Massachusetts is one of the costliest states in which to buy a house. The greater Boston market has remained stubbornly expensive, with low inventory clashing with high demand.
Graber and Buntel eventually found a property with an old cottage they considered renovating. But after several sky-high quotes from architects, they decided to demolish it and build a new home with Unity.
“It was more flexible for our (urban) setting,” Buntel said. “Bringing the panels in on a flat pack and assembling them here was just more feasible, given the constraints of the streets and the neighborhood.”
Unity Homes started with the intent to offer quality, sustainable homes at a lower price point than the bigger custom homes built by its parent company, Bensonwood. The final price can range widely depending on how big the customer wants to go, or whether it comes with features like a porch or a garage anywhere from $300,000 for its smallest home up to $900,000 or just over $1 million for its biggest builds. BrightBuilt’s houses range from $275,000 to over $2 million, Meyer said.
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