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  ‘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.
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• Comment Link Saturday, 28 June 2025 08:09 Jamesfut

  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.
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  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.