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‘Watching this actually turn into a fight has ripped MAGA apart’: The full Epstein files may never be released despite congressional vote

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What began as a campaign-trail promise to release the Jeffrey Epstein files has become one of the most fraught tests of President Donald Trump’s second term — opening a rift in his political coalition and raising the stakes for an administration now under intense pressure to produce documents that may fall far short of public expectations.

The issue came to a head this week. After months of efforts by the Trump administration to quash it, both chambers of Congress passed a measure forcing the release of the Epstein files with near-anonymous support. Trump, who changed course days before the vote to bless the effort, signed the legislation Wednesday, starting a 30-day window for the Justice Department to deliver the records.

Expectations are sky-high, fueled by years of conspiracy theories promoted by many now in Trump’s orbit. Yet with some claims — such as a rumored “client list” of prominent men linked to Epstein — already deemed nonexistent by federal officials, the anti-establishment coalition Trump built in part by elevating those theories is showing cracks that may widen with the anticipated release.

“Watching this actually turn into a fight has ripped MAGA apart,” Rep. Marjorie Taylor Greene said this week, flanked by Epstein survivors ahead of the House vote.

“The only thing that will speak to the powerful, courageous women behind me is when action is actually taken to release these files,” said Greene, who announced late Friday that she will resign from Congress in January. “And the American people won’t tolerate any other bulls—-.”

How Epstein files entered the political mainstream

Epstein’s abuse and 2019 death in a New York jail cell have generated conspiracy theories for years, especially on the political right.

On the campaign trail, Trump expressed openness to releasing the investigative documents, nodding to anti-establishment demands to open up the government’s files on other high-profile cases like the assassinations of John F. Kennedy and Martin Luther King Jr.

But once Trump was back in office, divulging records from the federal investigations — as well as satisfying the appetites of conspiracy theorists – became less appealing. Attorney General Pam Bondi raised expectations of a full release, only to reverse course over the summer. Her attempt to close the book on the Epstein saga outraged many on the right.

It was the first sign of a rift in Trump’s coalition, and Democrats took notice.

In Congress, they began looking for ways to force Republicans to take votes on releasing the Epstein files. Eventually, they found traction with two tracks: initiating an investigation in the House Oversight Committee and putting full support behind a rarely successful petition that maneuvers around the House speaker’s control of which bills see the floor.

The Democratic effort — joined by a few key Republicans, including Greene — culminated last week in passage of the bill with overwhelming support from both chambers of Congress. It was a sign that the Epstein files had risen from the realm of obscure conspiracy theorists to a political force that neither political party could deny.

Still, it’s not clear whether the complete files will be released — or that the public interest in them will ever be satisfied.

The release — and the limits of what may be in the files

At a Tuesday press conference ahead of the House vote, the bill’s sponsors — Democratic Rep. Ro Khanna and Republican Rep. Thomas Massie — joined Greene and several Epstein survivors in warning the administration not to hold anything back.

“The real test will be whether the Department of Justice releases the files, or whether it all remains tied up in investigations,” Greene said, adding that whether a list of names is released “will be the real test.”

While Bondi in February said on Fox News that an Epstein “client list” was “sitting on my desk right now to review,” her department has since reversed course, saying such a list doesn’t exist. In a letter this July, the Justice Department said its review uncovered no incriminating “client list.”

It’s one example of how the Trump administration helped build hype for the release of files — and a reminder of the political danger in being unable to deliver the material his coalition has long believed is hidden.

Before Congress got involved, tens of thousands of pages of records were released over the years through civil lawsuits, Epstein and Maxwell’s public criminal case dockets, public disclosures and Freedom of Information Act requests.

Lawmakers believe there are reams more of documents, but they have received little indication that the Department of Justice is ready to put out that information despite a subpoena from the House Oversight Committee that was issued in August.

Khanna said he still has concerns about how fully the administration will comply, but he believes passage of the bill — and the possibility of contempt of Congress — gives lawmakers leverage. He declined to speculate about who might appear in the files but said he expects whistleblowers to emerge if anything is withheld.

“The president has realized, as Marjorie Taylor Greene said, that this is splitting his MAGA base,” Khanna said.

“It would be foolish for him to have a drip, drip, drip fight. I mean, if he wants to fight over Epstein the remainder of his presidency, I suppose we can. But that’s not really smart.”

‘Forgotten America against the Epstein class’

Khanna, a Silicon Valley progressive with aspirations for higher office, hopes the Epstein fight will evolve into a broader movement, describing it as a modern version of President Franklin D. Roosevelt’s “forgotten class against the economic royalists.”

“This is a forgotten America against the Epstein class,” Khanna said in an interview.

“There’s a real anger at an elite that people think are out of touch and taking away control over the lives,” he added.

As Democrats look for ways to reconnect with working-class voters, Khanna thinks the party should pursue causes like the Epstein files. He has already begun discussions with Massie, Greene and others about teaming up again.

“This crack,” Khanna said of the Epstein vote, is the “answer to taking on Trump.”



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The rise of AI reasoning models comes with a big energy tradeoff

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Nearly all leading artificial intelligence developers are focused on building AI models that mimic the way humans reason, but new research shows these cutting-edge systems can be far more energy intensive, adding to concerns about AI’s strain on power grids.

AI reasoning models used 30 times more power on average to respond to 1,000 written prompts than alternatives without this reasoning capability or which had it disabled, according to a study released Thursday. The work was carried out by the AI Energy Score project, led by Hugging Face research scientist Sasha Luccioni and Salesforce Inc. head of AI sustainability Boris Gamazaychikov.

The researchers evaluated 40 open, freely available AI models, including software from OpenAI, Alphabet Inc.’s Google and Microsoft Corp. Some models were found to have a much wider disparity in energy consumption, including one from Chinese upstart DeepSeek. A slimmed-down version of DeepSeek’s R1 model used just 50 watt hours to respond to the prompts when reasoning was turned off, or about as much power as is needed to run a 50 watt lightbulb for an hour. With the reasoning feature enabled, the same model required 7,626 watt hours to complete the tasks.

The soaring energy needs of AI have increasingly come under scrutiny. As tech companies race to build more and bigger data centers to support AI, industry watchers have raised concerns about straining power grids and raising energy costs for consumers. A Bloomberg investigation in September found that wholesale electricity prices rose as much as 267% over the past five years in areas near data centers. There are also environmental drawbacks, as Microsoft, Google and Amazon.com Inc. have previously acknowledged the data center buildout could complicate their long-term climate objectives

More than a year ago, OpenAI released its first reasoning model, called o1. Where its prior software replied almost instantly to queries, o1 spent more time computing an answer before responding. Many other AI companies have since released similar systems, with the goal of solving more complex multistep problems for fields like science, math and coding.

Though reasoning systems have quickly become the industry norm for carrying out more complicated tasks, there has been little research into their energy demands. Much of the increase in power consumption is due to reasoning models generating much more text when responding, the researchers said. 

The new report aims to better understand how AI energy needs are evolving, Luccioni said. She also hopes it helps people better understand that there are different types of AI models suited to different actions. Not every query requires tapping the most computationally intensive AI reasoning systems.

“We should be smarter about the way that we use AI,” Luccioni said. “Choosing the right model for the right task is important.”

To test the difference in power use, the researchers ran all the models on the same computer hardware. They used the same prompts for each, ranging from simple questions — such as asking which team won the Super Bowl in a particular year — to more complex math problems. They also used a software tool called CodeCarbon to track how much energy was being consumed in real time.

The results varied considerably. The researchers found one of Microsoft’s Phi 4 reasoning models used 9,462 watt hours with reasoning turned on, compared with about 18 watt hours with it off. OpenAI’s largest gpt-oss model, meanwhile, had a less stark difference. It used 8,504 watt hours with reasoning on the most computationally intensive “high” setting and 5,313 watt hours with the setting turned down to “low.” 

OpenAI, Microsoft, Google and DeepSeek did not immediately respond to a request for comment.

Google released internal research in August that estimated the median text prompt for its Gemini AI service used 0.24 watt-hours of energy, roughly equal to watching TV for less than nine seconds. Google said that figure was “substantially lower than many public estimates.” 

Much of the discussion about AI power consumption has focused on large-scale facilities set up to train artificial intelligence systems. Increasingly, however, tech firms are shifting more resources to inference, or the process of running AI systems after they’ve been trained. The push toward reasoning models is a big piece of that as these systems are more reliant on inference.

Recently, some tech leaders have acknowledged that AI’s power draw needs to be reckoned with. Microsoft CEO Satya Nadella said the industry must earn the “social permission to consume energy” for AI data centers in a November interview. To do that, he argued tech must use AI to do good and foster broad economic growth.



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SpaceX to offer insider shares at record-setting valuation

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SpaceX is preparing to sell insider shares in a transaction that would value Elon Musk’s rocket and satellite maker at a valuation higher than OpenAI’s record-setting $500 billion, people familiar with the matter said.

One of the people briefed on the deal said that the share price under discussion is higher than $400 apiece, which would value SpaceX at between $750 billion and $800 billion, though the details could change. 

The company’s latest tender offer was discussed by its board of directors on Thursday at SpaceX’s Starbase hub in Texas. If confirmed, it would make SpaceX once again the world’s most valuable closely held company, vaulting past the previous record of $500 billion that ChatGPT owner OpenAI set in October. Play Video

Preliminary scenarios included per-share prices that would have pushed SpaceX’s value at roughly $560 billion or higher, the people said. The details of the deal could change before it closes, a third person said. 

A representative for SpaceX didn’t immediately respond to a request for comment. 

The latest figure would be a substantial increase from the $212 a share set in July, when the company raised money and sold shares at a valuation of $400 billion.

The Wall Street Journal and Financial Times, citing unnamed people familiar with the matter, earlier reported that a deal would value SpaceX at $800 billion.

News of SpaceX’s valuation sent shares of EchoStar Corp., a satellite TV and wireless company, up as much as 18%. Last month, Echostar had agreed to sell spectrum licenses to SpaceX for $2.6 billion, adding to an earlier agreement to sell about $17 billion in wireless spectrum to Musk’s company.

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The world’s most prolific rocket launcher, SpaceX dominates the space industry with its Falcon 9 rocket that launches satellites and people to orbit.

SpaceX is also the industry leader in providing internet services from low-Earth orbit through Starlink, a system of more than 9,000 satellites that is far ahead of competitors including Amazon.com Inc.’s Amazon Leo.

SpaceX executives have repeatedly floated the idea of spinning off SpaceX’s Starlink business into a separate, publicly traded company — a concept President Gwynne Shotwell first suggested in 2020. 

However, Musk cast doubt on the prospect publicly over the years and Chief Financial Officer Bret Johnsen said in 2024 that a Starlink IPO would be something that would take place more likely “in the years to come.”

The Information, citing people familiar with the discussions, separately reported on Friday that SpaceX has told investors and financial institution representatives that it is aiming for an initial public offering for the entire company in the second half of next year.

A so-called tender or secondary offering, through which employees and some early shareholders can sell shares, provides investors in closely held companies such as SpaceX a way to generate liquidity.

SpaceX is working to develop its new Starship vehicle, advertised as the most powerful rocket ever developed to loft huge numbers of Starlink satellites as well as carry cargo and people to moon and, eventually, Mars.



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U.S. consumers are so strained they put more than $1B on BNPL during Black Friday and Cyber Monday

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Financially strained and cautious customers leaned heavily on buy now, pay later (BNPL) services over the holiday weekend.

Cyber Monday alone generated $1.03 billion (a 4.2% increase YoY) in online BNPL sales with most transactions happening on mobile devices, per Adobe Analytics. Overall, consumers spent $14.25 billion online on Cyber Monday. To put that into perspective, BNPL made up for more than 7.2% of total online sales on that day.

As for Black Friday, eMarketer reported $747.5 million in online sales using BNPL services with platforms like PayPal finding a 23% uptick in BNPL transactions.

Likewise, digital financial services company Zip reported 1.6 million transactions throughout 280,000 of its locations over the Black Friday and Cyber Monday weekend. Millennials (51%) accounted for a chunk of the sizable BNPL purchases, followed by Gen Z, Gen X, and baby boomers, per Zip.

The Adobe data showed that people using BNPL were most likely to spend on categories such as electronics, apparel, toys, and furniture, which is consistent with previous years. This trend also tracks with Zip’s findings that shoppers were primarily investing in tech, electronics, and fashion when using its services.

And while some may be surprised that shoppers are taking on more debt via BNPL (in this economy?!), analysts had already projected a strong shopping weekend. A Deloitte survey forecast that consumers would spend about $650 million over the Black Friday–Cyber Monday stretch—a 15% jump from 2023.

“US retailers leaned heavily on discounts this holiday season to drive online demand,” Vivek Pandya, lead analyst at Adobe Digital Insights, said in a statement. “Competitive and persistent deals throughout Cyber Week pushed consumers to shop earlier, creating an environment where Black Friday now challenges the dominance of Cyber Monday.”

This report was originally published by Retail Brew.



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