Category: Uncategorized

  • Amazon, Nvidia say all options on the table to power AI including fossil fuels

    Amazon, Nvidia say all options on the table to power AI including fossil fuels

    Anton Petrus | Moment | Getty Images

    OKLAHOMA CITY — Amazon and Nvidia told a room of oil and gas executives this week that all options are on the table to power artificial intelligence including fossil fuels such as natural gas.

    The tech and energy industries gathered in Oklahoma City at the Hamm Institute for American Energy to discuss how the U.S. can meet the growing energy needs for AI data centers

    The Big Tech companies have invested mostly in renewable power in an effort to slash their carbon dioxide emissions, but they are now navigating a changed political environment. President Donald Trump has ditched U.S. commitments to fight climate change as he seeks to increase fossil fuel production, particularly natural gas.

    There is now growing public acknowledgment from the tech industry that gas will be needed, at least in the near term, to help fuel AI.

    “To have the energy we need for the grid, it’s going to take an all of the above approach for a period of time,” Kevin Miller, Amazon’s vice president of global data centers, said during a panel discussion Thursday. “We’re not surprised by the fact that we’re going to need to add some thermal generation to meet the needs in the short term.”

    Amazon remains focused on slashing its carbon emissions, Miller said. It is the largest corporate purchaser of renewable energy and is investing in advanced nuclear and carbon capture technology to reduce the environmental impact of its energy consumption, the executive said.

    But those advanced technologies will not come online until the 2030s and Amazon needs steady and secure power now, Miller said.

    “We’re very explicit that meeting customers’ demands for capacity is first and foremost in our priority list, and so having access to power is first and foremost what we focus on,” Miller said. “And we have a goal to be net-zero carbon as a company by 2040 and are very focused on that.”

    Nvidia is also focused on environmental impact but wants “all options on the table” as AI faces an energy crunch, said Josh Parker, the chipmaker’s senior director of corporate sustainability.

    “At the end of the day, we need power. We just need power,” Parker said at the panel. “We have some customers who really prioritize the clean energy, and some customers who don’t care as much,” the executive said.

    Anthropic co-founder Jack Clark called for data center developers to be realistic about the energy sources that are currently available. Anthropic estimates that 50 gigawatts of new power is needed by 2027, equivalent to about 50 nuclear reactors. AI demand can help drive the development of “new and novel sources” of power over the longer term, he said.

    The idea of using coal, however, was met with unease. Trump recently signed an order that aims to boost coal production, citing demand from AI. The Amazon and Nvidia executives did not answer directly when asked during the panel whether they thought coal had a role play in powering AI.

    “You have a broader set of options than just coal,” Clark said. “We would certainly consider it, but I don’t think I’d say it’s at the top of our list.”

    Catch up on the latest energy news from CNBC Pro:

  • AI Enhances Detection of Child Abuse Cases

    AI Enhances Detection of Child Abuse Cases

    Summary: A new study found that artificial intelligence can better identify instances of physical child abuse in emergency rooms compared to traditional diagnostic coding methods. Researchers developed a machine-learning model that more accurately estimated abuse prevalence based on high-risk injuries and physical abuse indicators.

    The AI approach outperformed methods relying solely on diagnostic codes, which misdiagnosed about 8.5% of cases. These findings suggest that AI could significantly improve early detection and treatment of child abuse, leading to better protection for vulnerable children.

    Key Facts:

    • Improved Accuracy: Traditional coding methods missed an average of 8.5% of child abuse cases.
    • AI Advantage: Machine learning models provided a more accurate picture of child abuse trends in emergency departments.
    • Vulnerable Population: The study focused on 3,317 cases involving children under 10, with most under age 2.

    Source: Pediatric Academic Societies

    Artificial intelligence (AI) can help better identify prevalence of physical abuse of children seen in the emergency room, a new study found.

    The research will be presented at the Pediatric Academic Societies (PAS) 2025 Meeting, held April 24-28 in Honolulu. 

    AI Enhances Detection of Child Abuse Cases
    Relying on abuse codes alone misdiagnosed on average 8.5% of cases. Credit: Neuroscience News

    Researchers used a machine-learning model to estimate instances of child abuse seen in emergency departments based on diagnostic codes for high-risk injury and physical abuse.

    The researchers’ approach better predicted abuse rates than those that rely solely on diagnostic codes entered by a provider or administrative staff. Relying on abuse codes alone misdiagnosed on average 8.5% of cases.

    “Our AI approach offers a clearer look at trends in child abuse, which helps providers more appropriately treat abuse and improve child safety,” said Farah Brink, MD, child abuse pediatrician at Nationwide Children’s Hospital, and assistant professor at The Ohio State University.

    “AI-powered tools hold tremendous potential to revolutionize how researchers understand and work with data on sensitive issues, including child abuse.”

    Researchers studied data from 3,317 injury and abuse-related emergency department visits at seven children’s hospitals between February 2021 and December 2022. All children were under the age of 10 and nearly three quarters were under the age of two.

    About this AI and child abuse research news

    Author: PAS 2025
    Source: Pediatric Academic Societies
    Contact: PAS 2025 – Pediatric Academic Societies
    Image: The image is credited to Neuroscience News

    Original Research: The findings will be presented at the Pediatric Academic Societies (PAS) 2025 Meeting


    Abstract

    A Machine Learning Approach to Improve Estimation of Physical Abuse

    Background

    International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes are inaccurate for determining child physical abuse (PA) prevalence, particularly in emergency department (ED) settings. Consideration of injury codes along with abuse-specific codes may enable more accurate PA prevalence estimates.

    Objective

    To develop a coding schema to better estimate PA using machine learning.

    Design/Methods

    We performed a secondary data analysis of children < 10 years evaluated by a child abuse pediatrician (CAP) due to concerns for PA during Feb 2021-Dec 2022 at 7 children’s hospitals contributing data to both CAPNET, a multicenter child abuse research network, and Pediatric Health Information System (PHIS). We excluded encounters not linked with PHIS and those not evaluated in the ED during the CAPNET encounter.

    True PA was defined by CAP assigned rating 5- 7 on a 7-point scale of PA likelihood within the CAPNET database. Abuse-specific codes, including suspected codes, were defined as ICD-10-CM codes for PA modified from the Centers for Disease Control and Prevention child abuse and neglect syndromic surveillance definition. All 4-digit injury ICD-10-CM codes were used.

    We developed LASSO logistic regression models to predict CAP¬ determined PA for encounters with and without abuse-specific codes and used the models to calculate site-specific estimates of PA prevalence. We calculated the estimation error for site estimates based on 1) abuse-specific codes alone and 2) our LASSO predictive models. Estimation error was defined as estimated PA prevalence minus CAP-determined PA prevalence (true value).

    Results

    3317 of 6178 CAPNET encounters were successfully linked with PHIS and seen in the ED. Median age was 8.4 months with 74% < 2 years and 59% < 1 year. CAP diagnosed PA in 35% (n=l145) of all encounters, 12.7% (n=240) of encounters without abuse-specific codes, and 63.4% (n=905) of encounters with abuse-specific codes.

    At least one abuse-specific code was assigned for 43% of encounters. Site-specific estimates of PA prevalence based only on assignment of abuse-specific codes overestimated prevalence with estimation errors ranging from 2.0% to 14.3% (average absolute error 8.5%).

    Estimates of site-specific PA prevalence based on our predictive models had reduced errors from -3.0% to 2.6% (average absolute error 1.8%) (Fig. 1). Absolute error decreased for 6 of 7 sites and increased by 0.6% for the remaining site (Fig. 2).

    Conclusion(s)

    Our predictive models more accurately estimated the prevalence of PA compared to abuse-specific codes alone.

  • Why Illustrators Think People Can Do Better

    Why Illustrators Think People Can Do Better

    What would you look like as an action figure? 

    It’s a question the latest AI slop trend — AI action figures — has attempted to answer. Viral submissions have flooded social media platforms, with everyone from average people to celebrities to multi-million-dollar companies posting cartoon versions of what they (or their social media editor) would look like as an action figure. These generated photos are usually complete with personalized accessories that represent their interests. If the images, and people’s gleeful participation, seems reminiscent of the recent Studio Ghibli trend, it’s because they’re courtesy of the same product: OpenAI’s text-to-image GPT‑4o model. 

    Making stupid internet fodder has never been easier than now, with the prevalence of AI image generators making everything from deepfakes to memes. (There’s even a market for people who explain step by step how to get the desired results of any given trend.) But in the artist world, the rise of AI presents more problems than just the documented environmental concerns. AI images are already easily accessible. But if they become the defacto answer to any trend, could broad wins for AI mean loss after loss for working illustrators? 

    For at least one creator, supporting real art was more important than being first. Trixie Cosmetics, the makeup brand from drag queen Trixie Mattel, said they were purposefully late to the trend so they could have an illustrator make it instead of using AI. “Love this so much more than anything AI could have made,” wrote YouTuber Tyler Oakley on X. “Keeping up with the trends, promoting her makeup, and saying no to ai,” wrote another X user. “Trixie is that bitch and I [will] always love her for it.” But as AI develops, is there a way for real artists to still stand out in the market? 

    Graphic designer Joey Donatelli is the illustrator behind the Trixie Cosmetic action figure. Donatelli, who uses they/them pronouns, says they’ve always thought of their art style as “toy doll, whimsical meets high end cunty diva vibes,” which made them a perfect fit for the trend. But they say people responded so excitedly to their illustrated version because they think more average internet users are learning about the dangers AI can bring. 

    “I want people to actually create, not use a machine to create for them,” Donatelli tells Rolling Stone. “Working with AI is not being engaged with creativity. It’s typing a prompt into a screen. And that’s nothing to be proud of.” 

    Emily T., a recent illustration graduate from Sheridan College in Ontario, has spent her entire artistic career doing everything from narrative illustration to surface design to tattoo design. But she chose to not only make her own version of the action trend but post a video detailing her process — all in an effort to push back against what she sees as a “deeply troubling” acceptance of AI use.

    “I wish people would consider the thought and care artists put into all their work,” Emily says. “Artists put their all into their work — personality, years of practicing. It’s meant to be enjoyed while being produced. AI completely eliminates all these possibilities, sucking the humanity out of art altogether. Any art is better than AI slop.” 

    https://www.tiktok.com/@emilytragedy/video/7493235476829097271?is_from_webapp=1&sender_device=pc&web_id=7494413846426568222

    There’s a long relationship between the internet and artistic expression. Early sites like pixiv, Deviantart, and Tumblr built their reputations in fandom spaces by hosting large communities of young artists who drew interpretations and stylistic takes on their favorite television shows, movies, books, and comics. Fanarts or styles often inspired other works, feeding off of each other and inspiring others to post their own takes on every piece of entertainment under the sun. That’s why Valeria Herrera, a 29-year-old illustrator, understands some of the appeal of AI for people who might not actually draw for a living. It’s just not enough to make her use it. 

    “People are using AI, whether it’s for their small business or participating in the action figure trend, to be creative,” Herrera says. “People want to be involved in the art they create. They like personalized work. They just don’t want to take the time to do it themselves.” 

    “AI use is obviously very prevalent. People are using it out the wazoo,” Donatelli adds. “But as people become more aware of the ramifications of AI, they’re starting to seek out artists instead.” 

    One of the biggest issues artists take with these types of image generators — which industries like publishing, music, and filmmaking also foresee — is the nebulous nature of their source. Many AI models don’t give users public access to their training materials, meaning models could have learned and improved off of a variety of original artwork and projects. It brings up issues about copyright, fairness, and compensation — problems most tech companies seem to be sidestepping at the moment. 

    Trending Stories

    “AI steals from artists and spits out work without taking into account the many elements illustrators have studied and worked on for years,” Emily says. “It ‘learns’ off of us but does not give back to our community.” 

    “People use AI to create these images because they feel like they can’t create art without the means of AI. But that’s a skill issue,” Donatelli says. “If you’re more concerned with the end product, rather than the process, then maybe you shouldn’t be making it at all.” 

  • Artificial Intelligence (AI) Investors Keep Watching Tesla for Robotaxis. But Billionaire Bill Ackman May Have Just Identified An Even Bigger Opportunity

    Artificial Intelligence (AI) Investors Keep Watching Tesla for Robotaxis. But Billionaire Bill Ackman May Have Just Identified An Even Bigger Opportunity

    Autonomous driving presents an enormous opportunity for Tesla’s future, but the company is not the only one exploring robotaxi services.

    For the last few years, Tesla (TSLA 9.74%) CEO Elon Musk has spoken repeatedly about his vision to turn his electric vehicle (EV) company into a full-blown artificial intelligence (AI) operation. One of the primary ways AI is expected to revolutionize Tesla’s business is through autonomous driving.

    Musk doesn’t just want to integrate self-driving technology into Tesla cars for consumers to enjoy, though. Rather, he is looking to create a fleet of autonomous Tesla cars that people can hail at virtually any time. This initiative is known as the Robotaxi, and it’s become one of the biggest sources of excitement for Tesla bulls ever since Musk gave the public a sneak peek late last year.

    While the idea of Robotaxi has certainly garnered a lot of attention, Tesla is not the only major technology company exploring the prospects of AI in the automobile market. In the piece below, I’m going to explore why I think some of the moves billionaire hedge fund manager Bill Ackman has been making as of late could spell trouble for Tesla and its autonomous vehicle vision.

    Did Ackman just beat Tesla at its own game? Read on to find out more.

    Step 1: Alphabet is rivaling Tesla in the autonomous vehicle market

    Ackman is the CEO of hedge fund Pershing Square Capital Management. Unlike other hedge fund managers, one of Ackman’s notable attributes is that he tends to keep Pershing Square’s portfolio limited to a small number of stocks, generally owning positions in 10 or so companies at a time.

    Since AI burst onto the scene as the market’s hottest trend a couple of years ago, one mega-cap tech stock that’s been relatively polarizing is Alphabet (GOOGL 1.70%). Some skeptics argue that Alphabet’s dominance in internet search via Google could be threatened by the rise of ChatGPT and other large language models (LLMs). In addition, Meta Platforms and Amazon are becoming increasingly popular areas for advertisers to invest their budget over the likes of Alphabet-owned properties Google and YouTube.

    Nevertheless, Ackman took a liking to Alphabet and began building a position in the company a couple of years ago. The obvious thesis around Alphabet as an AI play is that the company has the ability to integrate new services across its ecosystem — from advertising, cloud computing, cybersecurity, workplace productivity, internet search, and more.

    However, one area that receives virtually no attention pertaining to Alphabet’s AI ambitions is autonomous driving.

    Over the last several years, Alphabet has quietly built an impressive autonomous vehicle operation of its own called Waymo. Today, Waymo taxis are already serving customers in major metropolitan areas, including Phoenix, San Francisco, Los Angeles, and Austin.

    A person hailing a ride on Uber.

    Image source: Getty Images.

    Step 2: Robotaxis could revolutionize Uber’s business

    Earlier this year, Ackman took to social media platform X (formerly Twitter) in which he revealed that Pershing Square took a position in ride-hailing leader Uber Technologies (UBER -0.47%). Similar to Alphabet, Pershing Square’s investment thesis around Uber primarily revolved around the company’s valuation relative to its growth profile. While the firm thinks Uber’s global scale and diversified services operation provide the company with a unique ability to expand profit margins over the coming years, there is a more subtle tailwind that could accelerate its growth as well.

    According to Pershing Square’s annual investor presentation from February, autonomous vehicle developers may choose to partner with taxi operations, such as Uber, due to the company’s existing base of 170 million customers worldwide. In other words, Uber’s value proposition is that it already has an enormous, sticky base of consumers that autonomous vehicle businesses wouldn’t need to try and acquire themselves. In addition, Pershing Square’s stance is that as autonomous vehicle fleets scale and become more mainstream, this dynamic provides an opportunity for the entire rideshare market to expand as well.

    You might wonder how autonomous vehicles could benefit Uber’s business. Think about other service-oriented businesses that act as distributors. Airbnb doesn’t build its own physical infrastructure, unlike hotels. Rather, it serves as a platform on which consumers can book a trip, and Airbnb makes money by brokering that transaction.

    In the same way, Uber does not need to spend billions building its own fleet of autonomous vehicles. Rather, it can strike partnerships with other companies developing self-driving technology and simply serve as a distribution channel. This mitigates a lot of risk, as Uber stands to benefit from a number of different companies that may choose to leverage its platform for a robotaxi service. Meanwhile, if Tesla does not pull off its goals in autonomous driving or fails to scale its own fleet, the company will likely be in a tough position in terms of growth opportunities.

    Step 3: Hertz could be the missing piece to Ackman’s autonomous vehicle vision

    Just a few days ago, Ackman took to X again to reveal Pershing Square’s latest big move: building a position in car rental stock Hertz (HTZ -4.10%). Once again, Ackman provided a long list of detailed financial analyses in his post and made the case for why he thinks Hertz is trading for a great value.

    However, there was a sentence in the last paragraph of the post that really caught my eye.

    Ackman wrote, “What if Uber partnered with Hertz on an AV [autonomous vehicle] fleet rollout over time?”

    Such an idea could make a ton of sense. By merging car rentals, ride-hailing, and autonomous vehicle technology, Hertz could transform into a robotaxi operation of its own. Instead of relying on foot traffic for its services at airports and other venues, Hertz could rent self-driving cars (perhaps from Waymo) on the Uber app. As a result, Hertz removes the variability of the middleman (human drivers) but still benefits from a consistent flow of renters via Uber’s installed base. In turn, Hertz could unlock steadier revenue streams and improve its unit economics on its existing vehicle infrastructure.

    Ackman could be triangulating an AI trade for the ages

    Admittedly, the idea of a three-way partnership between Alphabet (Waymo), Uber, and Hertz might seem like a pipe dream. But remember, Ackman is an activist investor — often working with a company’s executive leadership to identify ways to improve profitability and scale the overall operation.

    Given his public statements, I think it’s reasonable to say that Pershing Square could see Alphabet, Uber, and Hertz as a cheaper way to invest at the intersection of AI and autonomous driving compared to Tesla and its lofty valuation.

    But at a deeper level, I think Ackman could be in the early stages of triangulating an AI trade for the record books. Should Waymo, Uber, and Hertz go on to work together in the world of autonomous vehicle fleets, Ackman would be in a position to benefit from three different opportunities — as opposed to betting the farm on just one player such as Tesla.

    Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Adam Spatacco has positions in Alphabet, Amazon, Meta Platforms, and Tesla. The Motley Fool has positions in and recommends Airbnb, Alphabet, Amazon, Meta Platforms, Tesla, and Uber Technologies. The Motley Fool has a disclosure policy.

  • NVIDIA Corporation (NVDA) Maintains AI Leadership Amid Export Headwinds and GB200 Launch

    NVIDIA Corporation (NVDA) Maintains AI Leadership Amid Export Headwinds and GB200 Launch

    We recently published a list of 10 AI Stocks That Will Skyrocket. In this article, we are going to take a look at where NVIDIA Corporation (NASDAQ:NVDA) stands against other AI stocks that will skyrocket.

    AI (Artificial Intelligence) isn’t just a buzzword anymore—it’s becoming a part of our everyday lives, from the apps we use to how businesses operate. For investors, that means opportunity. As AI continues to grow, some companies are leading the charge and showing real potential for long-term gains. Whether you’re looking to diversify your portfolio or tap into the future of tech, this article will walk you through some of the best AI stocks worth watching right now. AI stocks saw incredible gains over the last couple of years, particularly in 2024, as AI applications burgeoned. The current weakness in AI stocks, caused by geopolitical tensions, may be a good opportunity to load up on AI stocks.

    In an interview with CNBC, the CEO and CIO of Ark Invest, Cathie Wood, underscored her bullishness on the AI sector despite the recent weakness in those stocks. According to Wood, AI has a massive runway. She compared the current AI position to the internet in the early to mid-90s. Wood is optimistic about robotaxis in the near term and the application of humanoid robots in the long term. However, the most under-appreciated application of AI, according to Wood, is healthcare, as AI will accelerate the curing of diseases. Within the medical application of AI, Cathie Wood is particularly bullish on sequencing technology, which is used to read DNA. AI is a great application in sequencing as it helps analyze, interpret, and act on that genetic data much quicker and more accurately than traditional methods.

    A segment within AI that is hot right now is Generative AI. Generative AI creates customized answers for the user based on real underlying data. Gen AI has created a massive investment cycle of over $200 billion annually, led by the ‘magnificent 7’. The tech behemoths are competing intensely over leadership in Gen AI. Meanwhile, an upcoming AI theme centers on how large language models (LLMs). According to Morgan Stanley, leading companies behind the most advanced LLMs are prioritizing high-performance chips and top-tier software to deliver AI solutions that are becoming essential for both businesses and consumers. While initial LLM use cases primarily included content creation, summarization, and categorization, industry leaders believe that the greatest yet-to-be-realized opportunity lies in applying AI reasoning to enterprise data.

  • Godfather of AI” Geoffrey Hinton warns AI could take control from humans: “People haven’t understood what’s coming

    Godfather of AI” Geoffrey Hinton warns AI could take control from humans: “People haven’t understood what’s coming

    “Godfather of AI” Geoffrey Hinton was awakened in the middle of the night last year with news he had won the Nobel Prize in physics. He said he never expected such recognition. 

    “I dreamt about winning one for figuring out how the brain works. But I didn’t figure out how the brain works, but I won one anyway,” Hinton said.

    The 77-year-old researcher earned the award for his pioneering work in neural networks — proposing in 1986 a method to predict the next word in a sequence — now the foundational concept behind today’s large language models.

    While Hinton believes artificial intelligence will transform education and medicine and potentially solve climate change, he’s increasingly concerned about its rapid development.

    “The best way to understand it emotionally is we are like somebody who has this really cute tiger cub,” Hinton explained. “Unless you can be very sure that it’s not gonna want to kill you when it’s grown up, you should worry.”

    The AI pioneer estimates a 10% to 20% risk that artificial intelligence will eventually take control from humans.

    “People haven’t got it yet, people haven’t understood what’s coming,” he warned.

    His concerns echo those of industry leaders like Google CEO Sundar Pichai, X-AI’s Elon Musk, and OpenAI CEO Sam Altman, who have all expressed similar worries. Yet Hinton criticizes these same companies for prioritizing profits over safety.

    “If you look at what the big companies are doing right now, they’re lobbying to get less AI regulation. There’s hardly any regulation as it is, but they want less,” Hinton said.

    Hinton appears particularly disappointed with Google, where he previously worked, for reversing its stance on military AI applications.

    According to Hinton, AI companies should dedicate significantly more resources to safety research — “like a third” of their computing power, compared to the much smaller fraction currently allocated.

    CBS News asked all the AI labs mentioned how much of their compute is used for safety research. None of them gave a number. All have said safety is important and they support regulation in general but have mostly opposed the regulations lawmakers have put forward so far.

  • ‘Just never been anything like DOGE’: Inside Elon Musk’s hostile takeover of government in Trump’s first 100 days

    ‘Just never been anything like DOGE’: Inside Elon Musk’s hostile takeover of government in Trump’s first 100 days



    CNN
     — 

    Elon Musk’s Department of Government Efficiency has been Donald Trump’s battering ram during the president’s first 100 days, slashing the federal government and trying to bend its remnants to Trump’s will.

    Driven by a band of 20-something coders and computer experts burrowing into agencies across the government, DOGE has thrown aside norms – and in some cases, federal laws – to forcibly cut spending, cancel federal contracts and building leases, and dismantle entire agencies.

    DOGE has forced its way into some of the government’s most sensitive systems, which process trillions of dollars in federal payments and contain personal data for hundreds of millions of Americans, as well as federal workers and immigrants. Along the way, it’s fired more than 100,000 government employees, including highly trained scientists and experts in a host of fields such as public health, foreign aid and diplomacy and disaster management.

    Musk, the world’s richest man, has served as the face of DOGE, trumpeting its findings – often riddled with inaccuracies or mischaracterizations. In Trump’s first 100 days, he frequently looked to be the second most powerful person in the government – appearing alongside Trump for joint interviews and being depicted on a February Time Magazine cover behind Trump’s Oval Office desk.

    Elon Musk shows off a shirt that says

    But amid a political backlash, Musk’s clashes with Trump’s Cabinet, and troubles at his electric car company, Musk said on a Tesla earnings call this week that his DOGE work is “mostly done.” While Musk can officially work as a “special government employee” for 130 days, he said that he would pull back starting next month, though he’ll continue to work a day or two each week at DOGE.

    Even if Musk fades away, dozens of his lieutenants are now embedded in top positions across federal agencies, a structure that could help the DOGE-budget cutters outlive Musk’s tenure in the government.

    Regardless of what comes next, the initial 100 days of DOGE have been unprecedented, with an impact that will reverberate for years to come.

    “There’s just never been anything like DOGE in American history,” said Donald Kettl, a former dean at the University of Maryland School of Public Policy and author of multiple books on the federal government.

    “The legacy, if Musk were to leave in the next hour, will be something that will last for a very long time,” Kettl added. “Because it took a very long time – decades and decades – to assemble the federal government as it was. And in less than 100 days, he’s taken it down to the foundations in lots of places.”

    While it’s too soon to measure the full political ramifications of DOGE, there are signs of a backlash — from anger at town halls to early Democratic electoral wins.

    Democrats, out of power across all branches of the federal government after the GOP’s wins in November, have made Musk and DOGE an early focal point in their bid to win back control of the House and Senate next year.

    A state Supreme Court race in the perennial battleground of Wisconsin last month offered an early glimpse at how effective that strategy could be. Through personal contributions and spending by groups Musk has funded in the past, the tech billionaire pumped more than $20 million into the race. But the liberal candidate trounced the Musk-backed conservative, setting the stage for what could be 19 months of advertising focused on Musk.

    Elon Musk arrives for a town hall meeting wearing a cheesehead hat at the KI Convention Center on March 30 in Green Bay, Wisconsin.

    Opponents of the DOGE cuts have packed into town halls across the country — including the few public events held by Republicans, who have faced pointed questions about whether the spending cuts will undercut key services, and those hosted by Democrats, who face pressure to do more to stand up to Trump’s administration.

    The scenes are reminiscent of 2009, when then-President Barack Obama’s push to remake America’s health insurance system fueled a conservative opposition that became the “tea party” and swept the GOP into power on Capitol Hill in the 2010 midterm elections.

    They also call back to Trump’s first term, when his bid to rescind Obamacare was met with fierce opposition at Republican lawmakers’ town halls across the country — an early sign of what would become a wave that catapulted Democrats into power in the 2018 midterms.

    So far, Republican lawmakers have largely defended Trump and Musk. Facing a raucous crowd in Nebraska in March, Rep. Mike Flood acknowledged: “I get it, there’s a lot of people in this room that don’t support what DOGE is doing.”

    “But for the first time we are making some progress identifying places that we can reduce the budget,” he added before being drowned out by boos.

    Musk initially boasted that he could cut $2 trillion from the nation’s roughly $6.8 trillion federal budget, which is more money than the federal government spends on defense, education, veterans’ health combined. He walked back his goal in early January, saying that $1 trillion would be “an epic outcome,” and reportedly seemed to lower the total to $150 billion for the coming fiscal year at a Cabinet meeting earlier this month.

    Even so, the early returns don’t come close to adding up to major savings, raising the prospect that DOGE will create costly chaos without increasing efficiency.

    DOGE has claimed to have saved $160 billion, as of April 20, from a combination of selling assets, canceling or renegotiating leases and contracts, ending grants, deleting fraudulent and improper payments, reducing the workforce and overhauling regulations and programs.

    But Nat Malkus, a senior fellow at the right-leaning American Enterprise Institute, contends that DOGE’s math doesn’t add up.

    “They are overvaluing the contracts and overvaluing the savings beyond what any reasonable person would accept as true savings,” he said.

    DOGE typically lists the savings as the difference between the maximum potential amount of the contract and the amount the agency has agreed to pay so far, according to Malkus. However, the savings should be the difference between the amount agreed to and what has actually been paid to date, he argued.

    In late March, DOGE claimed nearly $19 billion in contract savings, but by Malkus’ calculations, the amount was actually less than $10 billion.

    What’s more, canceling contracts doesn’t actually save the agency anything, said Rachel Snyderman, managing director of economic policy at the Bipartisan Policy Center. The unused money just goes back to the agency, which can ask Congress to redirect it other agency needs. Or the White House can ask lawmakers to rescind the funds.

    The administration and congressional Republicans are currently discussing a recission package. They are also working on tax cut legislation that could add trillions more to the $36 trillion federal debt that Trump has promised to pay down, in part with savings generated by DOGE.

    Musk has asserted, without evidence, there’s hundreds of billions of dollars in waste, fraud and abuse in federal programs, including Social Security, Medicare and Medicaid. Budget experts are doubtful of his claims.

    “Eliminating waste, fraud and abuse in those programs and across the government alone cannot get us out of the fiscal hole we are in,” Snyderman said.

    Putting a real dent in America’s deficit would require reforming mandatory spending programs, including Social Security and Medicare.

    “The Department of Education is not the reason why we have a $36 trillion national debt,” Snyderman said.

    The ultimate impact of DOGE’s imprint on the federal government may be decided by the outcome of more than 100 lawsuits filed challenging DOGE-related actions, covering everything from the dismantling of several agencies to whether DOGE can access data from the IRS, the Treasury Department and the Social Security Administration, among others.

    A week after his November victory, Trump announced that Musk and Vivek Ramaswamy would lead the newly created Department of Government Efficiency, appearing to reward two of his biggest campaign backers with the equivalent of a blue-ribbon commission on cutting government spending.

    Musk and his team had bigger plans in mind.

    Musk found a home in an obscure government office – the Obama administration-created US Digital Service – while the team he assembled fanned out across the Trump transition agency teams to hit the ground running on January 20.

    DOGE’s first big target was the US Agency for International Development.

    Less than two weeks into Trump’s presidency, DOGE personnel went into USAID headquarters to gain access to the agency’s data security systems and personnel files. Musk’s lieutenants sought to shut off USAID payments.

    Secretary of State Marco Rubio was named acting administrator and would go on to cancel 83% of USAID contracts. USAID employees around the world were placed on leave and ordered to return to the US.

    The cancellation of contracts rapidly created a vacuum around the globe, as administration even cut programs that had been granted waivers by the State Department for doing life-saving work.

    Musk boasted that he had “spent the weekend feeding USAID into the wood chipper.”

    The entrance to the now shuttered USAID office can be seen as black plastic covers a USAID sign at the Ronald Reagan Building and International Trade Center in Washington, DC on April 1.

    At the Consumer Financial Protection Bureau – an agency long criticized by Republicans that was created to root out abusive practices of financial institutions – the DOGE team was given access to the bureau’s systems and deleted the CFPB Twitter account.

    Trump budget chief Russell Vought, a “Project 2025” co-author, was put atop the agency directed the CFPB to stop virtually all work. The Trump administration is seeking to cut 90% of the CFPB workforce – roughly 1,500 of the bureau’s 1,700 employees – though the layoffs are currently paused while they’re being litigated in court.

    DOGE’s penchant to move fast and break things has thrown the Social Security Administration into disarray. The agency – which distributes monthly benefits to more than 73 million retirees, people with disabilities and others – is in the midst of a massive restructuring, which acting commissioner Leland Dudek acknowledged is being led by DOGE and the White House. Dudek told Social Security advocates that some of the changes typically would take two years to complete, but the Trump administration was pushing to enact them in a matter of weeks.

    The agency was forced to walk back a significant policy change proposed in the name of combatting fraud because of the chaos it sparked for beneficiaries, who flooded Social Security’s telephone lines and field offices concerned that their payments could be interrupted.

    At the IRS, DOGE staffers have been among the driving forces of a plan to hand over access to sensitive taxpayer data to immigration agencies to hasten deportations of suspected undocumented immigrants.

    Career officials repeatedly refused, arguing to the DOGE team that doing so would be illegal. But their concerns were rebuffed, and the fight led to the departures of two acting IRS commissioners and roughly a half-dozen other top officials.

    One of Musk’s first actions after Trump took office was to send an email to most of the 2.4 million federal workers with the subject line “Fork in the Road,” offering a buyout if they agreed to leave their job. (Some positions were exempted for reasons like national security.) The email mimicked the subject line of a note Musk sent Twitter employees amid his hostile overhaul of the social media giant.

    The “Fork in the Road” email was just one way that Musk has pushed for agencies to reduce headcount.

    The Trump administration has targeted probationary employees, indiscriminately firing thousands of employees who were new to their current job – though not necessarily new to federal work. Employees who worked in diversity, equity and inclusion programs were laid off at federal agencies as part of Trump’s directive to end DEI programs.

    “I feel like the cruelty is the point, if I am being honest,” said a federal worker who was terminated in February.

    Protesters gather at a rally organized by the American Federation of Government Employees against the so-called Department of Government Efficiency (DOGE) purges and resignation offers made to the federal civilian workforce outside the US Capitol in Washington, DC, on February 11.

    Most federal agencies have separately offered incentives for employees to take early retirement, voluntary separation or deferred resignation.

    In part to hit deeper reductions DOGE is seeking, each federal agency submitted a “reduction in force” plan. The Department of Education – another agency Trump wants to eliminate – announced in March it was cutting nearly 50% of its workforce, while Health and Human Services said earlier this month it would cut 20,000 of 82,000 full-time employees.

    For the workers still on the job, the DOGE officials now inside agencies have created a culture of fear, federal employees say.

    In February, DOGE again used its mass email system through the Office of Personnel Management to ask every federal worker: “What did you do last week?”

    On X, Musk went even further than the unsigned email, which was sent at his direction, with a threatening addendum: “Failure to respond will be taken as a resignation.”

    The surprise email missive sparked consternation among Trump’s Cabinet, and several agency leaders told employees not to respond. It was one of the first times that Trump’s Cabinet had contradicted the DOGE chief.

    Even with the deep DOGE-led cuts that agencies are undertaking, it’s still not enough for some. In recent weeks, at least seven departments have reopened their deferred resignation offers, which allow employees to stop working but be paid through September 30.

    The new offers came with a warning from some agencies.

    “At this time, we cannot give you full assurance regarding which positions will remain – or where they will be located – after USDA’s restructuring,” said the US Department of Agriculture email, which CNN has viewed.

  • Musk’s team started by searching for cost-savings in federal government. Today they are DOGE the immigrant hunters

    Musk’s team started by searching for cost-savings in federal government. Today they are DOGE the immigrant hunters

    What was first sold to the American people as a cost-cutting mission to “eliminate waste” and save taxpayer money, Elon Musk’s Department of Government Efficiency has morphed into seeking immigration data, experts and campaigners say.

    Musk’s so-called DOGE group has moved at breakneck speed since the billionaire first mused about it in August 2024, shortly after endorsing Donald Trump for president.

    “I think it would be great to just have a government efficiency commission,” Musk pitched to Trump during the conversation on X Spaces last summer. Its aim, he said, would be to ensure taxpayer money is spent “in a good way.”

    “And I’d be happy to help out on such a commission,” Musk offered.

    Since then, DOGE has overseen some of the 280,000 layoffs across 27 government agencies and pursued immigration-related data across departments, including Housing and Urban Development, the Internal Revenue Service and the Social Security Administration.

    Its latest data mining conquest is the Justice Department, where DOGE officials have accessed a sensitive system containing detailed information about immigrants’ interactions with the U.S. government.

    Elon Musk’s DOGE is gathering highly sensitive data to build a ‘master database’ at the Department of Homeland Security that could be used to track and surveil undocumented immigrants, according to reports.

    Elon Musk’s DOGE is gathering highly sensitive data to build a ‘master database’ at the Department of Homeland Security that could be used to track and surveil undocumented immigrants, according to reports. (Getty Images)

    The system, the Executive Office for Immigration Review’s Courts and Appeals System, contains records dating to at least the 1990s on millions of legal and undocumented immigrants, including addresses, case histories, court testimony and confidential interviews from asylum seekers, the Washington Post first reported.

    “The initial mission, as stated, was to cut waste and eliminate fraud and abuse,” Lisa Gilbert, co-president of consumer rights group Public Citizen, which is involved in several lawsuits against the Trump administration, told The Independent. “And very quickly it became clear that that was not their goal.”

    “I don’t think anyone could have predicted the pace and destructive nature of Elon Musk–helmed, conflict-ridden, tech-bro-filled, density storming into the federal government,” Gibert added. “It’s been unprecedented and hugely damaging, and it will take a long time for the government to recover.”

    Musk’s team is using the highly sensitive data it has gathered to build a “master database” at the Department of Homeland Security that could be used to “track and surveil” undocumented immigrants, WIRED reported last week.

    Data sharing between government agencies is nothing new, but it has been limited to specific purposes. “DHS has had access to certain components of Department of Justice information through an interagency scheduling tool, which allowed border agents to pull court dates to put on charging documents, or evidence for deportation proceedings,” Kathleen Bush-Joseph, policy analyst at the Migration Policy Institute, explained.

    “What seems to be new, if reporting is accurate, is [DOGE’s] access to information contained in the actual case files,” she told The Independent. Bush-Joseph emphasized the incredibly sensitive nature of the files, which in some cases will contain information to do with “terrible violence and persecution” that some immigrants have suffered.

    Elon Musk’s so-called Department of Government Efficiency has moved at breakneck speed since the billionaire first mused about it in August 2024, shortly after endorsing Donald Trump for president. It is not popular with voters, according to polling.

    Elon Musk’s so-called Department of Government Efficiency has moved at breakneck speed since the billionaire first mused about it in August 2024, shortly after endorsing Donald Trump for president. It is not popular with voters, according to polling. (AP)

    “The opaqueness of DOGE’s data efforts should give Americans pause because it is not simply about creating efficiency,” global security and cyber expert Nicholas Reese, an adjunct instructor at NYU’s School of Professional Studies Center for Global Affairs, added. “It is also about security and building trust because this is not nameless and faceless data.”

    The Justice Department declined to comment when approached by The Independent. The White House and the Department of Homeland Security were also contacted for comment.

    Gerald Connolly, ranking Democratic member of the House Oversight Committee, wrote to the Social Security Administration’s office of the inspector general last week about a whistleblower who told them that DOGE is building the “master database,” consisting of sensitive data.

    The Committee “received reports about troubling, fumbling efforts by DOGE to combine sensitive information held by SSA, the IRS, HHS, and other agencies into a single cross-agency master database,” Connolly’s letter said. “I am concerned that DOGE is moving personal information across agencies without the notification required under the Privacy Act or related laws, such that the American people are wholly unaware their data is being manipulated in this way.”

    A senior Homeland Security official, meanwhile, told WIRED that DOGE is “trying to amass a huge amount of data” and “it has nothing to do with finding fraud or wasteful spending.”

    Connolly told The Independent that the way in which DOGE is operating, particularly with accessing immigration data, is deeply “alarming.”

    Musk said he will be taking a step back from the White House and tending to his electric bar business following Tesla’s plummeting sales. But the damage is done, campaigners said.

    Musk said he will be taking a step back from the White House and tending to his electric bar business following Tesla’s plummeting sales. But the damage is done, campaigners said. (AFP/Getty)

    “The Trump-Musk Administration is infiltrating agencies and weaponizing the information they steal to target and attack America’s immigrant communities,” Connolly said. “DOGE’s dystopian demand for the sensitive, personal data of millions of Americans and immigrants is alarming, especially as this Administration abducts and disappears people off our streets without due process — including immigrants with legal status — and in light of President Trump’s chilling admission that he plans to target American citizens, or ‘home growns,’ next.”

    Gabe Lezra, policy and advocacy director at State Democracy Defenders Action, told The Independent that what’s happening “should horrify every American.”

    “The Trump–Musk regime sold DOGE to the American people as a way to cut costs and streamline government. What they actually created was Big Brother,” Lezra said. “This isn’t just about giving bad actors in our own government access to deeply personal data – like your party registration, charitable givings, medical history, citizenship status, and financial records. It’s also because we cannot have confidence that DOGE can keep this database safe–particularly because malicious foreign actors will immediately make this database their number one target,” he added.

    DOGE claims it has saved American taxpayers $160 billion so far, but figures on its website has been dogged by mistakes. Chaos has followed the newly-formed team headed by Musk as DOGE dismantled and shuttered agencies across the federal government. The billionaire at one point was so hands on that he mandated federal employees email the Office of Personnel Management five accomplishments every week as a “pulse check.” Some agency heads ignored him.

    Now DOGE is turning its attention to the administration’s deportation efforts as Trump continues to push his sweeping anti-immigration agenda. But Musk’s involvement in the efforts appears to be slowing down as he announced plans to step back next week because of his stumbling Tesla revenue.

    The future of DOGE is in doubt as Musk’s role is reduced, but experts, but critics said the damage is done.

    “Even if Musk is here less, Musk-ism is still with us,” Gilbert said. “Policies and practices that they’ve put in place will continue.”

  • Elon Musk’s Trump gamble is costing him bigly

    Elon Musk’s Trump gamble is costing him bigly

    Elon Musk’s Trump gamble is costing him bigly

    With Telsa profits plummeting and Musk’s own net worth down nearly $200 billion, the full cost of his gamble on Trump is coming into focus.
  • Why the shouting match between Bessent and Elon Musk is revealing

    Why the shouting match between Bessent and Elon Musk is revealing

    The Musk-Bessent tension boils over

    This week Axios reported on an alleged “shouting match” between Elon Musk and Treasury Secretary Scott Bessent over who should lead the IRS. Yes, The New York Times had already flagged the power struggle — but Marc Caputo’s sources told him the argument escalated to a “chest-to-chest” clash that was loud enough to be heard by the Italian prime minister, who was visiting the White House. (MSNBC has not confirmed Caputo’s reporting.)

    Now let’s be clear: Shouting matches do happen in the White House. But not usually so close to the Oval Office. And certainly not within earshot of a foreign dignitary.

    White House press secretary Karoline Leavitt deferred when asked about the alleged incident. Leavitt referred Axios to a previous statement, noting that “Disagreements are a normal part of any healthy policy process.”

    But what’s more shocking about this alleged blow-up isn’t what happened, but what they appear to have been fighting over. The IRS is an agency which has historically been apolitical, focused on doing the business of tax returns. But the Trump administration has already gone through multiple acting IRS commissioners in its bid to control the agency. The invasive nature of Musk and the DOGE posse’s pursuit of personal data also seems to have played a role here.

    Musk may be on his way out the door, but my concern is less who he is shouting at and more what he is shouting about.


    A race to watch: An Illinois U.S. Senate seat

    There’s big change coming to the U.S. Senate: Sen. Dick Durbin, the longtime Illinois Democrat and current minority whip, announced he won’t run for reelection in 2026. After over 40 years in Congress — championing immigration reform, fighting Big Tobacco, and shaping the federal judiciary — Durbin says it’s time to “face reality” and make way for someone new.

    Durbin’s retirement means Illinois will have a rare open Senate race — and likely a fierce Democratic primary. Already in the mix: Reps. Lauren Underwood, Raja Krishnamoorthi, and Robin Kelly, Lt. Gov. Juliana Stratton, and state Sen. Robert Peters.

    But this is more than just a personnel change. As chair of the Senate Judiciary Committee, Durbin has been one of the loudest Senate voices pushing back against President Donald Trump’s attacks on the judiciary. His departure leaves a major opening for a new committee leader — with current potential successors including Sens. Cory Booker, Amy Klobuchar, and Sheldon Whitehouse

    And beyond Capitol Hill, this race could offer an early look at where Democratic voters are headed. Just as the Tea Party wave transformed Republican primaries in 2010 and 2012, the Illinois primary may reveal what kind of message — and what kind of messenger — resonates with the party’s base heading into next year’s midterms.


    Newsletter 100: Announcing “The Briefing with Jen Psaki”

    You may have heard the news, but I’m thrilled to share that starting May 6, I’ll be stepping into MSNBC’s 9 p.m. hour Tuesday through Friday with a brand-new show: “The Briefing with Jen Psaki.”

    Thanks so much to everyone who’s come along for the ride with “Inside with Jen Psaki.” I can’t wait for you to join us for “The Briefing” next month.

    Sadly this will also be the last edition of this newsletter. But stay tuned for details of what we’re planning next.