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“In 2025, these data center protests successfully stalled over $100 billion worth of these facilities,” says Karen Hao, journalist, author and co-founder of The AI Resist List. Hao adds that so many communities are able to mobilize because the issue “really does cut across political lines.”

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Karen Hao just revealed that laid-off workers are being hired to train AI on the exact job they were fired from. A marketer gets laid off. They take a data annotation gig. They teach the model how to do marketing. The model learns. The next layoffs come. The cycle repeats. Here's the story: Hao interviewed 300+ people for her book Empire of AI. Data annotation is now one of the fastest-growing categories on LinkedIn. The people doing it are not who you'd expect: - PhD and law school graduates - Doctors who can't find clinical work - Award-winning Hollywood directors annotating in secret to feed their kids Hao says these jobs are "way worse than the jobs that were there." They "break the career ladder" from the middle out. A New York Magazine investigation followed one woman in the system. She said the work was "mechanizing my life, atomizing my work, devaluing my expertise." She said she had "become a monster." The job that replaces your job is teaching the machine to replace the next person. Anthropic's own data shows a 40% drop in entry-level hiring in the roles AI is targeting. Hao calls these companies "empires of AI." Almost nobody is talking about who's absorbing the fallout. — Karen Hao (Karen Hao), author of Empire of AI, on The Diary of a CEO (Steven Bartlett) podcast PS. This account exists to share the underreported stories the tech industry would rather you scroll past. Follow if that interests you — you won't want to miss what's scheduled next.

Karen Hao just revealed that laid-off workers are being hired to train AI on the exact job they were fired from. A marketer gets laid off. They take a data annotation gig. They teach the model how to do marketing. The model learns. The next layoffs come. The cycle repeats. Here's the story: Hao interviewed 300+ people for her book Empire of AI. Data annotation is now one of the fastest-growing categories on LinkedIn. The people doing it are not who you'd expect: - PhD and law school graduates - Doctors who can't find clinical work - Award-winning Hollywood directors annotating in secret to feed their kids Hao says these jobs are "way worse than the jobs that were there." They "break the career ladder" from the middle out. A New York Magazine investigation followed one woman in the system. She said the work was "mechanizing my life, atomizing my work, devaluing my expertise." She said she had "become a monster." The job that replaces your job is teaching the machine to replace the next person. Anthropic's own data shows a 40% drop in entry-level hiring in the roles AI is targeting. Hao calls these companies "empires of AI." Almost nobody is talking about who's absorbing the fallout. — Karen Hao (Karen Hao), author of Empire of AI, on The Diary of a CEO (Steven Bartlett) podcast PS. This account exists to share the underreported stories the tech industry would rather you scroll past. Follow if that interests you — you won't want to miss what's scheduled next.

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Vinod Khosla on why he does not really prefer "AI co-pilots". Because he thinks "humans get in the way of co-pilots", which slows everything down and blocks real change. He says workers like accountants and programmers do not actually want co-pilots, because they feel their jobs are at risk and then resist using the tool properly. So instead of “helping” them, he prefers building AI that fully does the job itself, like a complete software engineer. He expects that by 2030, most of these roles will be pure AI workers, not human+co-pilot. --- From 'Corgi Insurance' YT channel (link in comment)

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New Jersey residents are noticing construction crews surveying and replacing lines to upgrade power infrastructure for Data Centers Residents are paying for these upgrades These lines being updated are for a data center that’s not even close, it’s across the bridge 20 minutes away This is happening across Fairless Hills, Bristol, Middletown, and surrounding Bucks County spots due to multiple data center projects New Jersey already has 80+ data centers with more planned so these updates are happening everywhere Residents in these areas are already paying some of the power costs and grid upgrades related to data centers Welcome to corporate socialism. Money is taken from you to pay for the data centers infrastructure, but they won’t share any of the profits with you It’s called socialized losses and privatized profits

New Jersey residents are noticing construction crews surveying and replacing lines to upgrade power infrastructure for Data Centers Residents are paying for these upgrades These lines being updated are for a data center that’s not even close, it’s across the bridge 20 minutes away This is happening across Fairless Hills, Bristol, Middletown, and surrounding Bucks County spots due to multiple data center projects New Jersey already has 80+ data centers with more planned so these updates are happening everywhere Residents in these areas are already paying some of the power costs and grid upgrades related to data centers Welcome to corporate socialism. Money is taken from you to pay for the data centers infrastructure, but they won’t share any of the profits with you It’s called socialized losses and privatized profits

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Karen Hao just revealed that laid-off workers are being hired to train AI on the exact job they were fired from. MIT-trained journalist Karen Hao interviewed over 300 people for her book Empire of AI, including 90+ current and former OpenAI insiders. She got the firing story scene by scene from people in the room. Ilya Sutskever was OpenAI's chief scientist and co-founder. He cared about two things: building AGI, and building it safely. He came to believe Altman was undermining both. Sutskever told the board Altman was: - Pitting teams against each other - Telling different things to different people - Creating an environment where no one could trust anyone Mira Murati, then CTO, brought the same concerns to the board independently. The independent board members began comparing notes. They asked themselves: if this was Instacart, would Altman's behavior warrant firing him? Maybe not, they concluded. But this is not Instacart. In Sutskever's own words: "I don't think Sam is the guy who should have the finger on the button for AGI." The board fired Altman without telling Microsoft, employees, or investors. Five days later he was back. Sutskever never returned. Murati left shortly after. — Karen Hao (Karen Hao), author of Empire of AI, on The Diary of a CEO (Steven Bartlett) podcast

Karen Hao just revealed that laid-off workers are being hired to train AI on the exact job they were fired from. MIT-trained journalist Karen Hao interviewed over 300 people for her book Empire of AI, including 90+ current and former OpenAI insiders. She got the firing story scene by scene from people in the room. Ilya Sutskever was OpenAI's chief scientist and co-founder. He cared about two things: building AGI, and building it safely. He came to believe Altman was undermining both. Sutskever told the board Altman was: - Pitting teams against each other - Telling different things to different people - Creating an environment where no one could trust anyone Mira Murati, then CTO, brought the same concerns to the board independently. The independent board members began comparing notes. They asked themselves: if this was Instacart, would Altman's behavior warrant firing him? Maybe not, they concluded. But this is not Instacart. In Sutskever's own words: "I don't think Sam is the guy who should have the finger on the button for AGI." The board fired Altman without telling Microsoft, employees, or investors. Five days later he was back. Sutskever never returned. Murati left shortly after. — Karen Hao (Karen Hao), author of Empire of AI, on The Diary of a CEO (Steven Bartlett) podcast

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WATCH | Boy Mamabolo, the founder of the newly formed Born to Win Political Party, says most of the people that they are recruiting are from the rural areas, and 50% of them will be trained as councillors. He adds that "all these people who have been in the government since 1994 must go home now."

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Hundreds of billions of dollars are being spent right now to construct massive facilities that will house and run the computers needed for the spiking demand for artificial intelligence But as those centers are being built, communities across the country are in open revolt, protesting the enormous amounts of water and energy these centers require. Host William Brangham explored how communities are pushing back on data center development with Michael E. Webber, author of "Power Trip: The Story of Energy." Horizons from PBS News, dives into the science, health, technology and environmental issues making headlines each week. Visit the PBS News website to watch this week's episode.

Hundreds of billions of dollars are being spent right now to construct massive facilities that will house and run the computers needed for the spiking demand for artificial intelligence But as those centers are being built, communities across the country are in open revolt, protesting the enormous amounts of water and energy these centers require. Host William Brangham explored how communities are pushing back on data center development with Michael E. Webber, author of "Power Trip: The Story of Energy." Horizons from PBS News, dives into the science, health, technology and environmental issues making headlines each week. Visit the PBS News website to watch this week's episode.

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The people building AI say it could destroy humanity… so why are they still racing to build it? To help answer that, I’m joined by Karen Hao. She’s someone who’s spent years speaking to the people at the centre of this race, conducting over 300 interviews, including insiders at OpenAI to understand what’s really going on. Karen is a journalist who has been covering artificial intelligence for years, looking closely at how these systems are built and what’s really driving them. As we get into this conversation, what becomes clear is how much of the story we hear about AI is controlled by a small number of people - and how difficult it is to separate what’s being said publicly from what’s actually happening behind the scenes.

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Bill Gates Insider Admits Data Centers Built to 'Kill and Replace' 200 Million Americans by 2030 A data center insider has come forward with horrifying revelations about the AI mega-facilities rising across the country. The elites in charge of this are preparing to perpetrate crimes against humanity on a scale the world has never witnessed. And behind these data centers stand the usual suspects: Bill Gates. BlackRock. Palantir. They're racing to build these data centers before the public fully realizes what's unfolding right in front of them.

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AOC: And what are they asking for now? Endless energy. These companies are so desperate to profit from the AI boom that they are racing to construct thousands of giant AI data centers, jacking up utility costs for everyday Americans to pay for them. These data centers power thousands of high-intensity computer chips that are processing constantly and require massive amounts of energy to operate. Just one hyperscale data center consumes the same amount of energy in one second as 100,000 households. Because of this massive energy use, power and water utility companies must build multibillion-dollar infrastructure to keep up with the demand.

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Someone cut his mic. “This is a job that not of a lot of Americans actually want to do. Driving these trucks across the country … Most of these people are using GPS machines in their CARS so they really don’t need to read a ton of signs in English.”

Someone cut his mic. “This is a job that not of a lot of Americans actually want to do. Driving these trucks across the country … Most of these people are using GPS machines in their CARS so they really don’t need to read a ton of signs in English.”

maybe danielle 💻🚛🇺🇸

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Elon Musk on the 3 factors that will determine the winner in AI “Even a small player that is successful in AI will be worth a lot because they’ll contribute so much in productivity to the economy,” Elon explains. “There will be many companies that are worth sustainably several hundred billion dollars. So the next question becomes, How do we [xAI] achieve the lead?” Elon believes it will come down to three things: 1. Are you able to attract the best talent? 2. Are you able to bring more GPUs online faster than anyone else? 3. Unique access to data And uses these three factors to make the case for xAI winning the AI race: “We’ve already demonstrated that we can [bring AI hardware online faster than anyone else]. Jensen Huang himself said that he was blown away by how fast xAI build the Colossus data center . . . And for [unique access to data] we’ve got the X system — formerly the Twitter system — which is by far the best source of real-time data in the world.” He continues: “Those are some pretty significant assets, and I think we’re going to come up with some very innovative ideas . . . I think we’ll make some moves that are not on the chessboard, that people don’t anticipate.”

Elon Musk on the 3 factors that will determine the winner in AI “Even a small player that is successful in AI will be worth a lot because they’ll contribute so much in productivity to the economy,” Elon explains. “There will be many companies that are worth sustainably several hundred billion dollars. So the next question becomes, How do we [xAI] achieve the lead?” Elon believes it will come down to three things: 1. Are you able to attract the best talent? 2. Are you able to bring more GPUs online faster than anyone else? 3. Unique access to data And uses these three factors to make the case for xAI winning the AI race: “We’ve already demonstrated that we can [bring AI hardware online faster than anyone else]. Jensen Huang himself said that he was blown away by how fast xAI build the Colossus data center . . . And for [unique access to data] we’ve got the X system — formerly the Twitter system — which is by far the best source of real-time data in the world.” He continues: “Those are some pretty significant assets, and I think we’re going to come up with some very innovative ideas . . . I think we’ll make some moves that are not on the chessboard, that people don’t anticipate.”

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