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Alleged crypto scammer caught after littering arrest in Seoul

by admin August 24, 2025



A man wanted in connection with a massive cryptocurrency fraud has been caught in Seoul after police stopped him for littering outside a train station.

Officers said they first approached the man, in his 60s, for discarding a cigarette butt. Their suspicions grew when he pleaded for leniency, refused to show identification, and tried to bribe them before attempting to run.

Checks revealed he was the subject of an outstanding warrant tied to an alleged scheme that defrauded 1,300 people of 17.7 billion won. He faces 10 charges, including fraud, and has been transferred to the Seoul Southern District Prosecutors’ Office.

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UnsplashCryptocurrency scams and thefts have skyrocketed in recent years.

Growing concerns over crypto scams

The case comes amid increasing scrutiny of cryptocurrency-related crime. Data from Chainalysis shows crypto platforms lost $2.2bn to theft in 2024, with illicit actors receiving more than $40.9bn worth overall.

In South Korea, police reported the arrest of over 200 suspects last year linked to a $240m investment fraud, which authorities called the country’s largest crypto scam.

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Crypto thefts and scams have gone viral many times in the past, including one earlier in 2025, where a real-life ‘Team Rocket’ stole $50,000 worth of Pokemon cards and cryptocurrency ATMs.

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August 24, 2025 0 comments
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Decrypt logo
GameFi Guides

How Immigrants and Protesters Are Being Caught in ICE’s AI Dragnet

by admin June 14, 2025



In brief

  • DHS and ICE are expanding the use of AI to monitor immigrants and U.S. citizens.
  • A drone at a Los Angeles protest highlights growing domestic surveillance.
  • Advocates warn of privacy risks and disproportionate targeting of vulnerable groups.

AI surveillance tools once confined to battlefields are now being used by U.S. immigration authorities to monitor streets, protests, and communities across the country. 

U.S. Immigration and Customs Enforcement (ICE) and other federal agencies are ramping up their use of facial recognition, predictive AI, and military-grade drones. 

That’s sparked alarm among civil liberties advocates over privacy, oversight, and the targeting of undocumented immigrants and U.S. citizens alike.

Last weekend, as protesters marched through downtown Los Angeles, a drone hovered overhead tracking vandals, looters, and those attacking federal agents—an example of how AI-powered surveillance is increasingly entering public spaces. 

Two days later, the Department of Homeland Security posted footage on X, reportedly captured by a Predator drone, showing scenes from the protest. The video highlighted the increasing use of military-grade technology in domestic surveillance.

“There are always concerns around drone use, partly due to perception,” CEO of drone detection company SkySafe, Grant Jordan, told Decrypt. “When an average person sees a drone, they don’t know its purpose or who’s operating it. Unlike helicopters, where the operator is clear, drones are remote and ambiguous.”

Among the most aggressive adopters of surveillance technology are the Department of Homeland Security and U.S. Immigration and Customs Enforcement, which have integrated AI into nearly every phase of immigration enforcement, from identifying individuals to predicting their likelihood of skipping court dates.

WATCH: DHS drone footage of LA rioters.

This is not calm. This is not peaceful.

California politicians must call off their rioting mob. pic.twitter.com/WHNPlzEJG8

— Homeland Security (@DHSgov) June 10, 2025

In addition to drones and AI-enabled cameras, ICE employs a variety of AI-powered systems that operate behind the scenes in enforcement and detention decisions. 

Here are some of the key technologies in use:

Palantir’s Immigration Lifecycle Operating System (ILOS)

  • Also known as the ImmigrationOS, Palantir’s ILOS creates detailed profiles of deportation targets using integrated federal datasets and real-time monitoring.

Mobile Device Analysis

  • Used by investigators and analysts to identify and extract evidence, relationships, and networks from mobile device data, utilizing machine learning capabilities to determine locations of interest.

Voice Analytics and Translation

  • A voice analytics tool that utilizes machine learning to transcribe and translate multilingual audio, enabling agents to more efficiently identify investigative leads and analyze evidence without relying solely on manual review.

Facial Recognition Technology

  • Used by Homeland Security Investigations to identify victims and perpetrators in child exploitation cases. The technology generates leads on potential identities of victims and offenders; however, ICE said no enforcement action is taken based solely on these leads.

Hurricane Score

  • Predicts compliance risk for non-detained immigrants in ICE’s supervision program. Hurricane Score is a quasi-binomial, binary classification machine learning model that is given information about an individual and determines the probability that the individual will fail to appear for a hearing, based on patterns the model has learned from inactive case data.

While federal agencies argue the tools improve efficiency and public safety, civil liberties advocates warn they are often deployed without transparency or oversight, posing a chilling threat to privacy and disproportionately affecting immigrant and marginalized communities.

“We know immigrant communities face disproportionate policing, particularly Black and brown immigrants, and surveillance tech is part of a larger system of control to police their daily lives,” Citlaly Mora with the non-profit organization Just Futures Law, told Decrypt. 

“We know that DHS has an arsenal full of weaponized technology, and its main purpose is to identify and ultimately deport individuals. In the hands of ICE, these technologies present a danger to our communities’ safety,” Mora added.

She continued: “Surveillance of any kind, especially when conducted by government or law enforcement, has the potential to chill speech and people’s First Amendment rights. When it comes to groups who are exercising their right to protest or immigrant communities, we know surveillance is used to target them and cause adverse effects.”

Advocates argue that community engagement is crucial in combating the unchecked spread of surveillance technology at the local level.



“In addition to becoming politically active, it’s important not to simply accept these technologies and how the government uses them,” Jay Stanley, senior policy analyst with the ACLU,  told Decrypt. 

“Local law enforcement and other agencies are supposed to serve the public. That means if communities object and say, ‘We do not want the police using drones over our neighborhoods or tracking and storing our movements,’ that should be respected,” Stanley added.

Stanley also said communities shouldn’t accept the use of surveillance technology as inevitable.

“We can’t stop its development, but we can decide how it’s deployed in our communities and how government agencies are, and are not, allowed to use it,” he said.

ICE and the DHS did not respond to Decrypt’s requests for comment.

Edited by Sebastian Sinclair

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June 14, 2025 0 comments
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Popular AI apps get caught in the crosshairs of Anthropic and OpenAI
Gaming Gear

Popular AI apps get caught in the crosshairs of Anthropic and OpenAI

by admin June 7, 2025


Battlelines are being drawn between the major AI labs and the popular applications that rely on them.

This week, both Anthropic and OpenAI took shots at two leading AI apps: Windsurf, one of the most popular vibe coding tools, and Granola, a buzzy AI app for taking meeting notes.

”With less than five days of notice, Anthropic decided to cut off nearly all of our first-party capacity to all Claude 3.x models,” Windsurf CEO Varun Mohan wrote on X this week, noting that “we wanted to pay them for the full capacity.” An additional statement on Windsurf’s website said: “We are concerned that Anthropic’s conduct will harm many in the industry, not just Windsurf.”

Here, Mohan’s company is collateral damage in Anthropic’s rivalry with OpenAI, which has reportedly been in talks to acquire Windsurf for about $3 billion. The deal hasn’t been confirmed, but even the spectre of it happening was enough for Anthropic to cut off one of the most popular apps that it powers. After a spokesperson told TechCrunch’s Maxwell Zeff that Anthropic was “prioritizing capacity for sustainable partnerships,” co-founder Jared Kaplan put it more bluntly.

“We really are just trying to enable our customers who are going to sustainably be working with us in the future,” Kaplan told Zeff. “I think it would be odd for us to be selling Claude to OpenAI.”

Meanwhile, OpenAI sent its own warning shot this week to the budding AI app ecosystem. It announced a “record mode” for ChatGPT — initially only for enterprise accounts — that transcribes calls and generates meeting notes. This is the core use case of Granola, one of my favorite AI tools that recently raised $43 million in additional funding and released a mobile app.

Given how quickly Granola has evolved to do more than summarize meetings, I suspect that the company isn’t at risk of extinction. Still, it will be harder to grow when hundreds of millions of ChatGPT users eventually have access to its main functionality.

It’s unclear how the tension between the product ambitions of OpenAI and Anthropic and the needs of their API customers will settle out. When I interviewed Anthropic’s chief product officer, Mike Krieger, back in March, the company had just announced its own Claude coding competitor to Windsurf and Cursor, which coincidentally raised $900 million this week. I asked Krieger the obvious question: how does Anthropic think about competing with its API customers? He didn’t really have an answer.

“I think this is a really delicate question for all of the labs and one that I’m trying to approach really thoughtfully,” Krieger told me at the time. “Hopefully, we’ll all be able to navigate the occasionally closer adjacencies.”

AI investor Zak Kukoff put it well this week: “At some point model providers are going to need to decide if they want to be stable platforms or compete for every vertical.”

Ultimately, this week served as a wake-up call for the many startups building businesses on the backs of AI models; if you are successful enough, you run the risk of being copied by your model provider. A lot of companies are thinking through this risk right now, especially as OpenAI builds a new team to help its API customers “translate abstract ideas into production applications.”

“You have to wonder if the recent moves by the big AI labs to more directly compete with the app layer will be one giant tailwind for incumbents like Google, Amazon, MSFT, etc.,” Michael Mignano, a Granola board member, wrote this week. “If developers can’t trust the labs, maybe it’s better to trust the big guys like they did for cloud?”

A different take on AI and job loss

This week, I heard two CEOs contradict the growing fear that AI will destroy jobs en masse, at least when it comes to engineering roles.

The first was Sundar Pichai, whom I watched speak at Bloomberg’s tech conference in San Francisco. He downplayed Dario Amodei’s doomerism fear about job loss, correctly pointing out that “we’ve made predictions like that for the last 20 years about technology and automation, and it hasn’t quite played out that way.” He went so far as to say, “I expect we will grow from our current engineering base into next year,” because AI “allows us to do more.”

The next day, I walked down the street to the Moscone Center to see Snowflake CEO Sridhar Ramaswamy, who had just spoken to a room of 4,000 developers with AI pioneer Andrew Ng. I asked Ramaswamy if AI had changed his hiring plans, and he said he agreed with a ranking of hiring desirability for engineers that Ng had just described onstage, with the top being experienced engineers who leverage AI tools, followed by early-career engineers who are all-in on AI. He noted that new graduates who avoid AI tools are at the bottom of the desirability ranking and may struggle to find jobs.

If anything, it’s the middle of the workforce — those who are in the middle of their careers and hesitant to adopt AI tools — that is the most in danger of near-term displacement, Ramaswamy argued. “Companies tend to accrete middle management, so there’s very much a push to get more people who are doing. How do we get them as leveraged as possible? Snowflake has historically been a little top-heavy on the engineering side, so we are balancing that out.”

“Oh, man, the girls are fighting, aren’t they?” – Rep. Alexandria Ocasio-Cortez commenting on what was the best day on Twitter in years.

“Maybe there’s a world where you have one AI in the sky. Maybe you actually have a bunch of domain-specific agents that require a bunch of specific work to make it happen. I think the evidence has really been shifting towards this menagerie of different models.” – OpenAI’s Greg Brockman speaking at the AI Engineer’s World Fair.

“Give it a year. We’ll be doing a billion queries a week if we can sustain this growth rate.” – Perplexity CEO Aravind Srinivas onstage at Bloomberg’s tech conference.

“We were accidentally cash flow positive in Q1, which was cool.” – Substack CEO Chris Best speaking at The Information’s creator economy summit.

  • As part of a broader leadership reshuffling, Microsoft’s CEO of LinkedIn, Ryan Roslansky, is now also leading the Office portfolio of products.
  • After a short stint as a distinguished AI engineer at Meta, Rohan Anil is leaving to join Anthropic. Richard Fontaine, CEO of the Center for a New American Security, is also joining the board of Anthropic’s controlling trust.
  • Tesla’s head of Optimus, Milan Kovac, is leaving to spend “time with family,” according to Elon Musk.
  • Christian Szegedy, a co-founder of xAI, is leaving to be the chief scientist of an AI startup called Morph.
  • Gary Briggs will serve as the interim chief marketing officer of OpenAI while Kate Rouch takes medical leave.
  • Palo Alto Networks CEO Nikesh Arora, who was also an early Google executive, is joining Uber’s board. Andrew Macdonald is also being promoted to become the company’s president and chief operating officer.

If you haven’t already, don’t forget to subscribe to The Verge, which includes unlimited access to Command Line and all of our reporting.

As always, I welcome your feedback, especially if you’ll be attending WWDC next week as well, or if you have a story idea to share. You can respond here or ping me securely on Signal.





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June 7, 2025 0 comments
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Ethereum, Solana, Doge traders caught off guard as Musk-Trump split weighs on markets
Crypto Trends

Ethereum, Solana, Doge traders caught off guard as Musk-Trump split weighs on markets

by admin June 6, 2025



Total crypto liquidations hit $972.22 million in 24 hours, with Ethereum, XRP, Dogecoin, and Solana among the most impacted

Long traders were caught off guard in the largest liquidation event since February, following a public split between U.S. President Donald Trump and a former close ally and supporter Elon Musk. On June 6, a wave of liquidations totaling $972.22 million swept the market, according to data from CoinGlass. Over the last 48 hours, nearly $3 billion in long and short positions were liquidated.

24-hour liquidations heat map on June 6 | Source: CoinGlass

Bitcoin and Ethereum led in total liquidation volume over the past 24 hours, accounting for 64% of the total. However, Solana (SOL) and Dogecoin (DOGE) saw the most liquidations relative to their market caps, highlighting a high level of leverage in these assets.

Trump-Musk spat caught long Doge, Solana traders off guard

The liquidation bias over the last 24 hours was overwhelmingly tilted against long positions. Of the total liquidations, $875 million, or 89%, came from longs. These highly leveraged positions were not able to withstand the spike in volatility driven by political developments in the U.S.

The trigger for the sharp liquidation wave was a slump in crypto prices following a public fallout between U.S. President Donald Trump and his former political ally, Elon Musk. Over the last 24 hours, Bitcoin (BTC) touched a low of $100,437, Ethereum (ETH) fell 7% to $2,387, and Solana dropped to $142. Meanwhile, Musk’s favorite crypto, Dogecoin, plunged over 20%, hitting a daily low of $0.1692.

Overall, the liquidation event appears to have stemmed from excessive long positioning amid a highly volatile market. Specifically, aggressive leveraged bets on Solana and Dogecoin, combined with stop-loss triggers during the slump, were enough to fuel the cascade of liquidations.

Despite the outsized liquidations, Solana has shown relative resilience—even outperforming Ethereum on some metrics. Dogecoin, however, remains heavily tied to Musk’s influence. With Musk now falling out of favor politically, DOGE is likely to face increased volatility in the near term.



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June 6, 2025 0 comments
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