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Despite prepping’s reputation as a form of doomerism, many left-wing preppers say they are not devoid of hope.
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Shonkwiler believes there will be an opportunity to create something new in the aftermath of a crisis. “It begins with preparedness and it ends with a better world,” he said.

Some also say there’s less tension between left- and right-wing preppers than people might expect. Bounds, the sociology professor, said very conservative preppers she met during her research contacted her during the Covid-19 pandemic to offer help.
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There is a natural human solidarity that emerges amid disaster, Killjoy said. She recalls a cashier giving her a deep discount on supplies she was buying to take to Asheville post-Helene. “I have every reason to believe that that man is right-wing, and I do think that there is a transcending of political differences that happens in times of crisis,” she said.

As terrifying events pile up, from the wars in Ukraine and the Middle East to deadly extreme weather, it’s hard to escape the sense we live in a time of rolling existential crises — often a hair’s breadth from global disaster.

People are increasingly beginning to wonder whether their views on preppers have been misconceived, Mills said. “There is a bigger question floating in the air, which is: Are preppers crazy, or is everyone else?”
Killjoy has seen a huge change over the last five years in people’s openness to prepping. Those who used to make fun of her for her “go bag” are now asking for advice.

It’s not necessarily the start of a prepping boom, she said. “I think it is about more and more people adopting preparedness and prepper things into a normal life.”

Evidence already points this way. Americans stockpiled goods in advance of Trump’s tariffs and online sales of contraceptives skyrocketed in the wake of his election, amid concerns he would reduce access. Shows like “The Walking Dead,” meanwhile, have thrust the idea of prepping into popular culture and big box stores now sell prepping equipment and meal kits.

People are hungry to learn about preparedness, said Shonkwiler. “They have the understanding that the world as we knew it, and counted on it, is beginning to cease to be. … What we need to be doing now is figuring out how we can survive in the world that we’ve created.”

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В современном мире, где качество и безопасность товаров и услуг становятся все более важными, сертификация играет ключевую роль. Мы предлагаем профессиональные услуги по сертификации, которые помогут вашему бизнесу соответствовать международным стандартам и укрепить доверие клиентов. - Сертификат соответствия ТР ТС.

“Generally, if people were more informed about the average
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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.

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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.