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The suits allege that downed power lines operated by the company contributed to the deadliest U.S. wildfire in more than a century. The wildfire risk posed by aboveground power lines is well documented. Lives lost, billions in damagesThe Maui fires have killed at least 115 people with hundreds still missing. But Mitchell said insulating aboveground power lines with a protective covering is also an effective solution that is cheaper and can be rolled out more quickly. There is also technology coming to market that can de-energize power lines automatically when there's a problem, he said.
Persons: Mike Blake, Fitch, Berkshire Hathaway's, Paul Starita, They're, Singleton Schreiber, Alexandra von Meier, von Meier, Marshall, Michael Dougherty, Bob Frenzel, Xcel, Berkshire Hathaway, PacifiCorp, aboveground, Scott Aaronson, Aaronson, Joseph Mitchell, Mitchell Organizations: Reuters Electric, Hawaiian Electric, National Weather Service, Hawaii Electric, . Pacific Gas & Electric, PG, Xcel Energy, U.S . Forest Service, University of California, Moody's, Fitch, Electric, Alcohol, Tobacco, Firearms, Explosives, Xcel, Marshall Fire, Marshall, Boulder, Labor, Fire, American Society of Civil Engineers, ASCE, The Edison Electric Institute, California Public Utilities Commission Locations: Lahaina, Maui, Hawaii, U.S, Maui County, Hurricane, California, Berkshire, Berkshire Hathaway's PacifiCorp, Oregon, Colorado, Berkeley, Minnesota, Boulder County, Paradise, Golden
Sam Altman, CEO of OpenAI, walks from lunch during the Allen & Company Sun Valley Conference on July 6, 2022, in Sun Valley, Idaho. Artificial intelligence research startup OpenAI on Tuesday introduced a tool that's designed to figure out if text is human-generated or written by a computer. The release comes two months after OpenAI captured the public's attention when it introduced ChatGPT, a chatbot that generates text that might seem to have been written by a person in response to a person's prompt. "In our evaluations on a 'challenge set' of English texts, our classifier correctly identifies 26% of AI-written text (true positives) as 'likely AI-written,' while incorrectly labeling human-written text as AI-written 9% of the time (false positives)," the OpenAI employees wrote. The new version is more prepared to handle text from recent AI systems, the employees wrote.
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