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Water levels across the Great Lakes are falling – just as US data centers move in

The Guardian

Tue 16 Dec 2025 08.00 ESTLast modified on Tue 16 Dec 2025 08.02 EST The sign outside Tom Hermes's farmyard in Perkins Township in Ohio, a short drive south of the shores of Lake Erie, proudly claims that his family have farmed the land here since 1900. Today, he raises 130 head of cattle and grows corn, wheat, grass and soybeans on 1,200 acres of land. For his family, his animals and wider business, water is life. So when, in May 2024, the Texas-based Aligned Data Centers broke ground on its NEO-01, four-building, 200,000 sq ft data center on a brownfield site that abuts farmland that Hermes rents, he was concerned. "We have city water here. That's going to reduce the pressure if they are sucking all the water," he says of the data center.


How the Witch of November doomed the 'Edmund Fitzgerald'

Popular Science

How the Witch of November doomed the'Edmund Fitzgerald' Fifty years after the Great Lakes freighter sank, scientists can explain the weather that still haunts Lake Superior. When the SS Edmund Fitzgerald left port on November 10, 1975, there was no way for the crew to know what they were sailing into. Breakthroughs, discoveries, and DIY tips sent every weekday. On the afternoon of November 9, 1975, when the set out on its 746-mile run from Superior, Wisconsin, to Detroit, Michigan, Lake Superior was mostly calm. Even so, the crew likely saw the red sky from the intensifying storm gathering over the Great Plains.


The Feds Who Kill Blood-Sucking Parasites

The New Yorker

Sea lampreys--invasive, leechlike creatures that once nearly destroyed the Great Lakes' fishing economy--are kept in check by a small U.S.-Canadian program. Will it survive Trump's slash-and-burn campaign? Ally Porter walked ahead of me as we sidestepped down a steep, loamy embankment. Our path lit only by headlamps, a waning sliver of moon, and what seemed to be thousands of stars, we made our way to a mucky riverbank about twenty feet below. At one point, I lost my footing and ended up wedged against a tree trunk. Porter, who had two tight braids that landed just below her shoulders, kept going. She moved with ease through several inches of sludge, toward a yellow glow stick tied to a tree at the water's edge.


Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering

Liu, Jiaxiang, Zhou, Tong, Chen, Yubo, Liu, Kang, Zhao, Jun

arXiv.org Artificial Intelligence

Mitigating the hallucinations of Large Language Models (LLMs) and enhancing them is a crucial task. Although some existing methods employ model self-enhancement techniques, they fall short of effectively addressing unknown factual hallucinations. Using Knowledge Graph (KG) enhancement approaches fails to address the generalization across different KG sources and the enhancement of open-ended answer questions simultaneously. To tackle these limitations, there is a framework that combines Pseudo-Graph Generation and Atomic Knowledge Verification proposed. The enhancement of LLM using KG in an open-ended question-answering setting is implemented by leveraging the Pseudo-Graph Generation. Atomic Knowledge Verification utilizes atomic-level knowledge querying and verification to achieve generalizability under different KG sources. Compared to the baseline, this approach yields a minimum improvement of 11.5 in the ROUGE-L score for open-ended questions. For precise questions, we observe a minimum accuracy improvement of 7.5. Moreover, there is also demonstration that this framework exhibits generalizability across different KG sources. In summary, our results pave the way for enhancing LLMs by incorporating Pseudo- and Multisource-KGs, particularly in the context of open-ended questions.


ChatGPT has a devastating sense of humour

#artificialintelligence

ChatGPT makes an irresistible first impression. It's got a devastating sense of humour, a stunning capacity for dead-on mimicry, and it can rhyme like nobody's business. Then there is its overwhelming reasonableness. When ChatGPT fails the Turing test, it's usually because it refuses to offer its own opinion on just about anything. When was the last time real people on the internet declined to tell you what they really think?


A bald eagle takes on a government drone. The bald eagle wins

#artificialintelligence

When a bald eagle tangled unexpectedly with a government drone last month in Michigan, it won, emerging from the scene unscathed. Officials say it is somewhere in Lake Michigan. The Michigan Department of Environment, Great Lakes and Energy disclosed the attack on Thursday, almost one month after the eagle sent the $950 drone into the Great Lake. The trouble began when Hunter King, an environmental quality analyst with the department, sent a drone over Michigan's Upper Peninsula to map shoreline erosion, the department said. Delta flight returns to Austin airport after striking what may have been birds or a drone, officials say His drone's reception started to sputter, so he commanded it to return home.


Development and analysis of a Bayesian water balance model for large lake systems

Smith, Joeseph P., Gronewold, Andrew D.

arXiv.org Machine Learning

Water balance models (WBMs) are often employed to understand regional hydrologic cycles over various time scales. Most WBMs, however, are physically-based, and few employ state-of-the-art statistical methods to reconcile independent input measurement uncertainty and bias. Further, few WBMs exist for large lakes, and most large lake WBMs perform additive accounting, with minimal consideration towards input data uncertainty. Here, we introduce a framework for improving a previously developed large lake statistical water balance model (L2SWBM). Focusing on the water balances of Lakes Superior and Michigan-Huron, we demonstrate our new analytical framework, identifying L2SWBMs from 26 alternatives that adequately close the water balance of the lakes with satisfactory computation times compared with the prototype model. We expect our new framework will be used to develop water balance models for other lakes around the world.


Robofish floats about tracking antibiotics in the Great Lakes

New Scientist

A ROBOTIC fish may be an unlikely ally in the fight against antibiotic resistance. Swimming through streams and lakes, it will monitor the levels of antibiotics in the water, among other pollutants. The prototype will soon be sent below the surface of the lakes near Michigan, which are under threat from industrial pollution and contaminants from farming. "The water is getting increasingly contaminated with multiple pollutants," says Alicia Douglas at the Water Rising Institute. Antibiotics are among them, she says, and are becoming a growing risk because we know so little about how they spread.


Great Lakes shipwreck found

FOX News

The second-oldest confirmed shipwreck in the Great Lakes, an American-built, Canadian-owned sloop that sank in Lake Ontario more than 200 years ago, has been found, a team of underwater explorers said Wednesday. The three-member western New York-based team said it discovered the shipwreck this summer in deep water off Oswego, in central New York. Images captured by a remotely operated vehicle confirmed it is the Washington, which sank during a storm in 1803, team member Jim Kennard said. "This one is very special. We don't get too many like this," said Kennard, who along with Roger Pawlowski and Roland "Chip" Stevens has found numerous wrecks in Lake Ontario and other waterways.


What a Great Lakes shipwreck could tell us about American history

Christian Science Monitor | Science

The second-oldest confirmed shipwreck in the Great Lakes, an American-built, Canadian-owned sloop that sank in Lake Ontario more than 200 years ago, has been found, a team of underwater explorers said Wednesday. The three-member western New York-based team said it discovered the shipwreck this summer in deep water off Oswego, in central New York. Images captured by a remotely operated vehicle confirmed it is the Washington, which sank during a storm in 1803, team member Jim Kennard said. "This one is very special. We don't get too many like this," said Mr. Kennard, who along with Roger Pawlowski and Roland "Chip" Stevens has found numerous wrecks in Lake Ontario and other waterways.