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Secret Service in US expands a global push against crypto scams

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The scam began with a message, then a friendly exchange. A stranger directed the victim to a cryptocurrency investment site that appeared professional — slick design, charts, even customer support. The first deposit showed a modest profit. So did the next. Encouraged, the victim sent more, even borrowing money to keep up. Then, without warning, the platform stopped responding. The account balance disappeared.

“That’s how they do it,” Jamie Lam, an investigative analyst with the US Secret Service, told law enforcement officials in Bermuda last month. “They’ll send you a photo of a really good-looking guy or girl. But it’s probably some old guy in Russia.”

Secret Service investigators traced the fraud to the domain name behind the fake investment site. Using open-source tools, they found out when it was registered, by whom and how it had been paid for. A cryptocurrency payment pointed them to another wallet. A brief VPN failure exposed an IP address.

Lam is part of the agency’s Global Investigative Operations Center or GIOC, a team specializing in digital financial crimes. Their tools are software, subpoenas, and spreadsheets, not badges or guns.

“It’s not always that hard,” Lam said. “Sometimes you just need patience.”

Patience and digital tools have helped the GIOC seize nearly $400 million in digital assets over the last decade, a figure not previously reported, according to people familiar with the matter who asked not to be identified discussing private conversations.

Much of that trove sits in a single cold-storage wallet that now ranks among the most valuable anywhere. After leading crackdowns on digital currencies such as Liberty Reserve and E-Gold in the 1990s, the agency best known for protecting US presidents has become one of the world’s biggest crypto custodians.

At the center of the operation is Kali Smith, a lawyer who directs the Secret Service’s cryptocurrency strategy. 

Her team has conducted workshops in more than 60 countries to train local law enforcers and prosecutors in unmasking digital crimes. The agency targets jurisdictions where criminals exploit weak oversight or residency-for-sale programs, and provides the training for free.

“Sometimes after just a week-long training, they can be like, ‘Wow, we didn’t even realize that this is occurring in our country,’” she said.

Last month, the team flew to Bermuda, a British overseas territory that has marketed itself to digital-asset firms with one of the world’s most comprehensive crypto frameworks — and exposed itself to new threats in the process.

“Technologies and financial services are fantastic for economic growth, but they can also be exploited,” Bermuda’s governor, Andrew Murdoch, said in an interview. “Alongside the benefits, you need strong investigative powers to deal with abuse under the law.”

Inside a conference room on a hill overlooking Hamilton Harbor, Smith told her class that scam victims usually see opportunity. “They think they can use Bitcoin and be safe. But that isn’t the case,” she said.

One real-life case involved an Idaho teenager who thought he was flirting online and sent a nude photo to a stranger. The stranger then demanded $300 or the image would be sent to his relatives. He paid twice before going to police. 

GIOC analysts reconstructed the extortion with screenshots, receipts and blockchain data. Payments had been routed through another American teenager coerced into acting as a money mule, then funneled to an account that had processed about $4.1 million across nearly 6,000 transactions and was registered to a Nigerian passport, according to an analyst who asked not to be named because the investigation is ongoing.

British officers arrested the suspected extortionist when he landed in Guildford, England. He remains in custody awaiting extradition, the analyst said.

Fraud tied to digital currencies now drives a majority of US internet-crime losses. Americans reported $9.3 billion in crypto-related scams in 2024, more than half of the $16.6 billion logged that year, FBI data show. Older victims bore the largest share, losing nearly $2.8 billion, much of it to bogus investment sites.

Some schemes spill into real-world violence. In New York, two investors were indicted for allegedly kidnapping and torturing a longtime friend inside a townhouse to force access to his digital wallet. In Connecticut, six men were charged with abducting the parents of a teenage hacker who had stolen $245 million in Bitcoin, beating them in a failed ransom attempt.

To claw back stolen funds, the Secret Service leans on industry partners. Coinbase and Tether have publicly acknowledged assisting in recent cases, providing trace analysis and wallet freezes. One of the largest recoveries involved $225 million in USDT, the dollar-pegged token known as Tether, linked to romance-investment scams.

“We’ve been following the money for 160 years,” said Patrick Freaney, head of the agency’s New York field office, which oversees Bermuda. “This training is part of that mission.”



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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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