1。据彭博社报道，俄罗斯总统弗拉基米尔·普京(Vladimir Putin) 表示，俄中合作达到“新里程碑。他正在等待中国国家主席习近平对俄罗斯的访问。
2。东京路透社。一位中国高级外交官告诉日本外长，北京对东京的军事集结感到非常不安，并批评它在四年来的首次正式安全会谈中采取“冷战思维”。
3。据Politics报道，澳大利亚和菲律宾正在探索在有争议的南中国海进行联合巡逻的可能性，中国海岸警卫队最近对一艘菲律宾船只的“行动”，导致菲律宾总统费迪南德马科斯召见了北京驻马尼拉特使。
4。据The Guardian报道，乔拜登总统在讲话中称，在乌克兰经历了一年的战争后，俄罗斯军队陷入混乱。
5。路透北京 2 月 22 日 – 据官方媒体报道，中国国家主席习近平表示，中国必须自下而上解决关键技术领域的问题，因为中国正在应对越来越多的，但主要是美国对先进技术的出口管制。
6。路透社。据俄罗斯国家新闻机构报道，俄罗斯安全委员会秘书，周二告诉中国最高外交官王毅，北京是俄罗斯外交政策的重中之重，两国必须团结一致对抗西方。
7。据World 报道，日本发现了7000个新岛屿。该国的岛屿数量翻了一番，地图上现在有超过 14,000 个岛屿。
8。据ABC News 报道，日本大熊猫粉丝含泪告别他们的偶像香香、“超级爸爸”峨嵋和他的双胞胎女儿，她们周二被送回中国，回到四川省的一个保护设施。
9。据Politics报道，随着对俄罗斯的担忧加剧，拜登总统将与东欧北约领导人会面。
10。东京路透社。日本防卫省周二在两国高级防卫官员会谈后发表声明称，日本和中国将从今年春天起努力建立一条安全直接沟通渠道。
11。据The Drive报道，在中国气球最终在南卡罗来纳州海岸被击落之前，至少有两架 U-2S 被用来监视气球的飞机伴飞，并收集了有关它的信息。
12。据CNBC,由于较高的利率继续给市场情绪带来压力，美国股市周二下跌，而最新一批零售收益引发了对消费者状况的担忧。道琼斯工业平均指数下跌697.10 点，或 2.06%，收于 33,129.59。
13。路透社。美国众议院外交事务委员会将于下周二与高级官员就中国政策举行听证会。
14。据Business Insider 报道，ChatGPT 的创建者 Sam Altman 表示，世界可能离”潜在的可怕”人工智能不远了，并认为“监管至关重要”。
15。一个神秘的铁球被冲上了日本的海滩，引起了全世界阴谋论者的注意。这个直径1.5米的大型物体今年早些时候出现在日本的一个沿海城镇。
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Extreme heat is a killer. A recent heat wave shows how much more deadly it’s becoming
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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.
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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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High costs are still a big barrier to prospective customers, said Alan Gibson, principal at Maine-based builder GO Logic, where a shell for an ultra-efficient, two-story, 1,400 square foot home with three bedrooms can cost around $600,000.
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Homeowners also need to factor in additional costs, like buying and developing a suitable plot of land, and in some cases, getting access to water, electricity and septic, Gibson added.
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The way to bring down costs, Gibson believes, is more panelized, multi-family housing.
“It can be done so much more efficiently,” Gibson said, “and there’s a lot more repetition” for the developer, making the process faster and less expensive than custom multi-family builds.
Goodson, the homeowner in Maine, was able to save big money with his engineering background and penchant for DIY. He installed a rooftop solar system and electrical improvements himself, saving hundreds of thousands of dollars in the process. He wound up spending around $500,000 in all, which he estimates was $200,000 less than he otherwise would have.
“It’s a big number to swallow, I’m not making light of that at all, but it’s not that far out of what’s reasonable,” Goodson told CNN. It’s also not considering the long-term savings he will experience with no utility bills.
He was also able to take advantage of federal tax credits that reduced the cost of his rooftop solar, which saved him more than $10,000 on his panels. Those tax credits are now endangered with House Republicans’ tax bill.
“That was huge,” he said. “It’s fairly unfortunate they’re looking at doing away with it.”
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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.