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Beirut, Lebanon
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—
A deadly Israeli airstrike on Hezbollah’s stronghold in southern Beirut on Friday has left over a dozen people dead, including a high-ranking Hezbollah commander, sharply escalating the conflict between the two sides and raising fears of all-out war.
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Senior Hezbollah commander Ibrahim Aqil, part of Hezbollah’s elite Radwan Force, was assassinated along with “about 10” other commanders, Israel Defense Forces (IDF) spokesperson Daniel Hagari said, accusing them of planning to raid and occupy communities in Galilee in northern Israel.

Hezbollah confirmed Aqil’s death on Friday, saying he was killed “following a treacherous Israeli assassination operation on 09/20/2024 in the southern suburbs of Beirut.”

According to Hagari, the targeted commanders were “underground underneath a residential building in the heart of the Dahiyeh neighborhood, using civilians as a human shield” at the time of the attack.

Lebanon’s health ministry said at least 14 people were killed and 66 others injured in the airstrike, which leveled a multistory building in a densely populated neighborhood.

Aqil had a $7 million bounty on his head from the United States for his suspected involvement in the 1983 strike on the US Embassy in Beirut, which killed 63 people, as well as the bombing of the Beirut Marine barracks, which killed 241 US personnel later that year.

A CNN team on the ground in Beirut saw a frantic effort to rescue people from underneath the rubble and rush the wounded to hospital. Witnesses said nearby buildings shook for nearly half an hour after the strike, which the IDF said it had carried out at around 4 p.m. local time.

A week of surprise attacks
Friday’s strike marked the fourth consecutive day of surprise attacks on Beirut and other sites across the country, even as Israeli forces continued deadly strikes and operations in Gaza and the occupied West Bank.

The first major attack against Hezbollah this week came Tuesday afternoon when pagers belonging to the militant groups’ members exploded near-simultaneously. The pagers had been used by Hezbollah to communicate after the group’s leader, Hassan Nasrallah, encouraged members to switch to low-tech devices to prevent more of them from being assassinated.

Almost exactly 24 hours later, Lebanon was rocked by a second wave of explosions, after Hezbollah walkie-talkies detonated in Beirut and the south of the country on Wednesday.

At least 37 people were killed, including some children, and more than 3,000 were injured in the twin attacks.

In a United Nations Security Council meeting on Friday, UN human rights chief Volker Turk on Friday warned that the detonation of communication devices could violate international human rights law.

Lebanese Foreign Minister Abdallah Bou Habib and Israeli Ambassador to the UN Danny Danon clashed at the heated meeting, with Bou Habib calling on the council to condemn Israel’s actions and Danon slamming the Lebanese envoy for not mentioning Hezbollah.

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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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