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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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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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That insight is part of the value of having kids play with dolls that have disabilities, said Dr. Sian Jones, co-founder of the Toy Box Diversity Lab at Queen Margaret University in Edinburgh, Scotland.
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Jones and her colleague Dr. Clare Uytman study how playing with dolls and toys with a range of physical challenges can reduce systemic inequality for disabled people.
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It’s based on a theory of mirrors and windows by Rudine Sims Bishop, a professor emerita of education at Ohio State University. Bishop realized that having diverse characters in books was good for all kids: It helps children from minority groups see themselves mirrored in the lives of book characters, and it gives kids a window into the lives of others, helping them build empathy.

Jones says that when kids play with dolls that have mobility challenges, for example, it helps them identify and understand the struggles of people with disabilities whom they meet in real life.
“Barbie in a wheelchair cannot use the doll’s house in their kindergarten classroom, so they have to build a ramp in order for her to be able to access the door to their doll’s house, for example,” said Jones, who lives with cerebral palsy.

When she started her work incorporating disabled dolls into school curricula, Jones said, there were few available for purchase. She mostly had to make them herself. Now, she can buy them from big companies like Lego and Mattel, “which is wonderful.”
Mazreku says the work to design the doll was well worth it. She recently got to bring one home to give to her 3-year-old daughter.

“I brought Barbie home to her and gave her a chance to interact with her and see her things,” Mazreku said. “And she looked at me and she said, ‘She looks like Mommy.’ And that was so special for me.”

Her daughter doesn’t have type 1 diabetes, she said. “But she sees me every day, living with it, representing and understanding and showing the world and wearing my devices confidently, and for her to see Barbie doing that was really special.”