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講座内容 > Extreme heat is a killer. A recent heat wave shows how much more deadly it’s becoming > [url=https://tripscan.xyz]трипскан вход[/url] > Extreme heat is a killer and its impact is becoming far, far deadlier as the human-caused climate crisis supercharges temperatures, according to a new study, which estimates global warming tripled the number of deaths in the recent European heat wave. > > For more than a week, temperatures in many parts of Europe spiked above 100 degrees Fahrenheit. Tourist attractions closed, wildfires ripped through several countries, and people struggled to cope on a continent where air conditioning is rare. > https://tripscan.xyz > трип скан > The outcome was deadly. Thousands of people are estimated to have lost their lives, according to a first-of-its-kind rapid analysis study published Wednesday. > > A team of researchers, led by Imperial College London and the London School of Hygiene and Tropical Medicine, looked at 10 days of extreme heat between June 23 and July 2 across 12 European cities, including London, Paris, Athens, Madrid and Rome. > > They used historical weather data to calculate how intense the heat would have been if humans had not burned fossil fuels and warmed the world by 1.3 degrees Celsius. They found climate change made Europe’s heat wave 1 to 4 degrees Celsius (1.8 to 7.2 Fahrenheit) hotter. > > The scientists then used research on the relationship between heat and daily deaths to estimate how many people lost their lives. > > They found approximately 2,300 people died during ten days of heat across the 12 cities, around 1,500 more than would have died in a world without climate change. In other words, global heating was responsible for 65% of the total death toll. > > “The results show how relatively small increases in the hottest temperatures can trigger huge surges in death,” the study authors wrote. > > Heat has a particularly pernicious impact on people with underlying health conditions, such as heart disease, diabetes and respiratory problems. > > People over 65 years old were most affected, accounting for 88% of the excess deaths, according to the analysis. But heat can be deadly for anyone. Nearly 200 of the estimated deaths across the 12 cities were among those aged 20 to 65. > > Climate change was responsible for the vast majority of heat deaths in some cities. In Madrid, it accounted for about 90% of estimated heat wave deaths, the analysis found.
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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.

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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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Today was supposed to be the day that President Donald Trump’s so-called “reciprocal” tariffs on dozens of countries kicked in after a three-month delay, absent trade deals. But their introduction has been postponed, again.

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“The positives (of free trade) outweigh the negatives, even in rich countries,” Antonio Fatas, an economics professor at business school INSEAD, told CNN. “I think in the US, the country has benefited from being open, Europe has benefited from being open.”

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Tariffs are taxes on imports and their most direct typical effect is to drive up costs for producers and prices for consumers.

Around half of all US imports are purchases of so-called intermediate products, needed to make finished American goods, according to data from the Organisation for Economic Co-operation and Development.

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