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05 Jul 2025 - 03:13 pm

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05 Jul 2025 - 01:01 pm

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05 Jul 2025 - 11:01 am

“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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Harolduness

05 Jul 2025 - 07:49 am

This company says its technology can help save the world. It’s now cutting 20% of its staff as Trump slashes climate funding
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Two huge plants in Iceland operate like giant vacuum cleaners, sucking in air and stripping out planet-heating carbon pollution. This much-hyped climate technology is called direct air capture, and the company behind these plants, Switzerland-based Climeworks, is perhaps its most high-profile proponent.

But a year after opening a huge new facility, Climeworks is straining against strong headwinds. The company announced this month it would lay off around 20% of its workforce, blaming economic uncertainties and shifting climate policy priorities.
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“We’ve always known this journey would be demanding. Today, we find ourselves navigating a challenging time,” Climeworks’ CEOs Christoph Gebald and Jan Wurzbacher said in a statement.

This is particularly true of its US ambitions. A new direct air capture plant planned for Louisiana, which received $50 million in funding from the Biden administration, hangs in the balance as President Donald Trump slashes climate funding.

Climeworks also faces mounting criticism for operating at only a fraction of its maximum capacity, and for failing to remove more climate pollution than it emits.

The company says these are teething pains inherent in setting up a new industry from scratch and that it has entered a new phase of global scale up. “The overall trajectory will be positive as we continue to define the technology,” said a Climeworks spokesperson.

For critics, however, these headwinds are evidence direct air capture is an expensive, shiny distraction from effective climate action.

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05 Jul 2025 - 04:46 am

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(environmental) cost of generating a response, people would maybe start thinking, ‘Is it really necessary to turn myself into an action figure just because I’m bored?’ Or ‘do I have to tell ChatGPT jokes because I have nothing to do?’” Dauner said.

Additionally, as more companies push to add generative AI tools to their systems, people may not have much choice how or when they use the technology, Luccioni said.

“We don’t need generative AI in web search. Nobody asked for AI chatbots in (messaging apps) or on social media,” Luccioni said. “This race to stuff them into every single existing technology is truly infuriating, since it comes with real consequences to our planet.”
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With less available information about AI’s resource usage, consumers have less choice, Ren said, adding that regulatory pressures for more transparency are unlikely to the United States anytime soon. Instead, the best hope for more energy-efficient AI may lie in the cost efficacy of using less energy.

“Overall, I’m still positive about (the future). There are many software engineers working hard to improve resource efficiency,” Ren said. “Other industries consume a lot of energy too, but it’s not a reason to suggest AI’s environmental impact is not a problem. We should definitely pay attention.”

Sign up for CNN’s Life, But Greener newsletter. Our limited newsletter series guides you on how to minimize your personal role in the climate crisis — and reduce your eco-anxiety.

Williamcow

05 Jul 2025 - 03:24 am

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