‘Extraordinary rainstorm’ floods Nebraska city, triggers water rescues
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An entire June’s worth of rain fell in just a few hours over Grand Island, Nebraska, Wednesday night, triggering life-threatening flash flooding that inundated neighborhoods, stranded motorists and forced water rescues.

Crews have responded to dozens of calls to assist motorists stuck in flooded roads since torrential rain began Wednesday night, according to Spencer Schubert, the city’s communications manager. The flooding has also displaced an unspecified number of residents from their homes.
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“At this time we have no injuries to report,” Schubert said early Thursday morning, noting some rescues were ongoing.

Torrential rain caused sewers to back up into several homes and sent floodwater running into basements, according to a Thursday news release from the city. Some affected residents took shelter at local hotels or with friends and family.

“This was an extraordinary rainstorm and is very similar to the historic rains seen in the 2005 floods,” Jon Rosenlund, the city’s emergency director said. “We will be actively monitoring rivers, creeks and other drainage areas over the next few days for future flooding issues.”

Flooding in 2005 turned streets into rivers in Grand Island. At one point, the city tore up a major road to open up a channel to drain flooding away from homes, CNN affiliate KHGI reported.

The central Nebraskan city is home to around 53,000 people and is about 130 miles southwest of Omaha. The rain came to an end around sunrise Thursday, but the danger remains, with a flood warning in effect until 7 p.m. CDT.

Статья расскажет о проблеме с выводом денег на и возможных способах решения данной ситуации.

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.

Study reveals how much energy AI uses to answer your questions
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Whether it’s answering work emails or drafting wedding vows, generative artificial intelligence tools have become a trusty copilot in many people’s lives. But a growing body of research shows that for every problem AI solves, hidden environmental costs are racking up.

Each word in an AI prompt is broken down into clusters of numbers called “token IDs” and sent to massive data centers some larger than football fields powered by coal or natural gas plants. There, stacks of large computers generate responses through dozens of rapid calculations.

The whole process can take up to 10 times more energy to complete than a regular Google search, according to a frequently cited estimation by the Electric Power Research Institute.
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So, for each prompt you give AI, what’s the damage? To find out, researchers in Germany tested 14 large language model (LLM) AI systems by asking them both free-response and multiple-choice questions. Complex questions produced up to six times more carbon dioxide emissions than questions with concise answers.

In addition, “smarter” LLMs with more reasoning abilities produced up to 50 times more carbon emissions than simpler systems to answer the same question, the study reported.

“This shows us the tradeoff between energy consumption and the accuracy of model performance,” said Maximilian Dauner, a doctoral student at Hochschule Munchen University of Applied Sciences and first author of the Frontiers in Communication study published Wednesday.

Typically, these smarter, more energy intensive LLMs have tens of billions more parameters the biases used for processing token IDs than smaller, more concise models.

“You can think of it like a neural network in the brain. The more neuron connections, the more thinking you can do to answer a question,” Dauner said.
What you can do to reduce your carbon footprint
Complex questions require more energy in part because of the lengthy explanations many AI models are trained to provide, Dauner said. If you ask an AI chatbot to solve an algebra question for you, it may take you through the steps it took to find the answer, he said.

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