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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.

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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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?”

When wildfire ripped through Hawaii’s Maui last August, the impact was devastating: a whole town reduced to ashes, more than 100 lives lost. The inferno was described as the “largest natural disaster in state history.”

But some on Instagram suggested, without evidence, there was something much more nefarious at play.
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Health influencer @drmercola suggested to his 504,000 followers whether, while the media focused on climate change, the fires might have been deliberately set to “to facilitate a land grab” to make the area a “smart city” — referring to a technology-focused urban design idea.
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A natural parenting influencer, whose Instagram page is filled with soft-focus pictures of herself against pretty pastel backgrounds, implied to her 76,000-strong community that Hawaii’s wildfires were started by “directed energy weapons” — systems which use energy such as laser beams.

These posters are all wellness influencers — a loosely-defined umbrella term for a wide range of accounts including yoga, lifestyle, fitness, alternative health and new age spirituality.

While conspiracy theories about the Hawaii wildfires spread across the internet last year, it may seem surprising they were also seized upon by part of the wellness community.

But for years there has been a merging of wellness, disinformation and conspiracy, as a subset of influencers use the backdrop of aesthetically pleasing, pastel-colored posts to spread much darker messages, weaving together alarming conspiracy theories with calls for users to buy their supplements or services.

This phenomenon exploded during the pandemic, when anti-vax sentiment took hold in large parts of the wellness community. As interest in the pandemic waned, experts say some wellness influencers have latched on to climate change to galvanize followers.

Their concern: Those influencers — some with hundreds of thousands of followers — are exposing new, and younger, audiences to a slew of misinformation and undermining efforts to tackle the climate crisis.

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