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ArmandoLorry dit :

The bow of a US Navy cruiser damaged in a World War II battle in the Pacific has shone new light on one of the most remarkable stories in the service’s history.

More than 80 years ago, the crew of the USS New Orleans, having been hit by a Japanese torpedo and losing scores of sailors, performed hasty repairs with coconut logs, before a 1,800-mile voyage across the Pacific in reverse.

The front of the ship, or the bow, had sunk to the sea floor. But over the weekend, the Nautilus Live expedition from the Ocean Exploration Trust located it in 675 meters (2,214 feet) of water in Iron Bottom Sound in the Solomon Islands.
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Using remotely operated underwater vehicles, scientists and historians observed “details in the ship’s structure, painting, and anchor to positively identify the wreckage as New Orleans,” the expedition’s website said.

On November 30, 1942, New Orleans was struck on its portside bow during the Battle of Tassafaronga, off Guadalcanal island, according to an official Navy report of the incident.
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The torpedo’s explosion ignited ammunition in the New Orleans’ forward ammunition magazine, severing the first 20% of the 588-foot warship and killing more than 180 of its 900 crew members, records state.

The crew worked to close off bulkheads to prevent flooding in the rest of the ship, and it limped into the harbor on the island of Tulagi, where sailors went into the jungle to get repair supplies.

“Camouflaging their ship from air attack, the crew jury-rigged a bow of coconut logs,” a US Navy account states.
With that makeshift bow, the ship steamed – in reverse – some 1,800 miles across the Pacific to Australia for sturdier repairs, according to an account from the National World War II Museum in Louisiana.

Retired US Navy Capt. Carl Schuster described to CNN the remarkable skill involved in sailing a warship backwards for that extended distance.

“‘Difficult’ does not adequately describe the challenge,” Schuster said.

While a ship’s bow is designed to cut through waves, the stern is not, meaning wave action lifts and drops the stern with each trough, he said.

When the stern rises, rudders lose bite in the water, making steering more difficult, Schuster said.

And losing the front portion of the ship changes the ship’s center of maneuverability, or its “pivot point,” he said.

“That affects how the ship responds to sea and wind effects and changes the ship’s response to rudder and propellor actions,” he said.

The New Orleans’ officers would have had to learn – on the go – a whole new set of actions and commands to keep it stable and moving in the right direction, he said.

The ingenuity and adaptiveness that saved the New Orleans at the Battle of Tassafaronga enabled it to be a force later in the war.

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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.