Financial Technology
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The Download: a blockchain enigma, and the algorithms governing our lives
Jean-Paul Thorbjornsen, an Australian man in his mid-30s, with a rural Catholic upbringing, is a founder of THORChain, a blockchain through which users can swap one cryptocurrency for another and earn fees from making those swaps. THORChain is permissionless, so anyone can use it without getting prior approval from a centralized authority. As a decentralized network, the blockchain is built and run by operators located across the globe. During its early days, Thorbjornsen himself hid behind the pseudonym "leena" and used an AI-generated female image as his avatar. But around March 2024, he revealed his true identity as the mind behind the blockchain. If there is a central question around THORChain, it is this: Exactly who is responsible for its operations?
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Welcome to the dark side of crypto's permissionless dream
Jean-Paul Thorbjornsen is a leader of THORChain, a blockchain that is not supposed to have any leaders--and is reeling from a series of expensive controversies. We can do whatever we want," Jean-Paul Thorbjornsen tells me from the pilot's seat of his Aston Martin helicopter. As we fly over suburbs outside Melbourne, Australia, it's becoming clear that doing whatever he wants is Thorbjornsen's MO. Upper-middle-class homes give way to vineyards, and Thorbjornsen points out our landing spot outside a winery. "They're going to ask for a shot now," he says, used to the attention drawn by his luxury helicopter, emblazoned with the tail letters "BTC" for bitcoin (the price tag of $5 million in Australian dollars--$3.5 million in US dollars today--was perhaps reasonable for someone who claims a previous crypto project made more than AU$400 million, although he also says those funds were tied up in the company). Thorbjornsen is a founder of THORChain, a blockchain through which users can swap ...
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Crypto-Funded Human Trafficking Is Exploding
The use of cryptocurrency in sales of human beings for prostitution and scam compounds nearly doubled in 2025, according to a conservative estimate. Many of the deals are happening in plain sight. Cryptocurrency's frictionless, transnational, low-regulation transactions have long promised the ability to pay anyone in the world for anything. More than ever before, that anything includes human beings: victims of human trafficking forced into scam compounds and the sex trade on an industrial scale, bought and sold in crypto deals carried out with impunity, often in full public view. In new research published today, crypto-tracing firm Chainalysis found that crypto-funded transactions for human trafficking--largely forced laborers trapped in compounds across Southeast Asia and coerced into working as online scammers, as well as sex-trafficking prostitution rings--grew explosively in 2025.
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U.A.E. Firm Quietly Took Stake in the Trump Family's Crypto Company
Asked about the terms of the deal, including the board seats, the timing and the size of the investment, Mr. Wachsman said, "We made the deal in question because we strongly believe that it was what was best for our company as we continue to grow." Representatives for Sheikh Tahnoon did not immediately respond to a request for comment. The Trump family's business dealings with the Emiratis have blurred the line between government and private enterprise, alarming ethics experts and congressional Democrats. Sheikh Tahnoon, a member of the Emirati royal family, has been a major foreign policy intermediary with the United States for over a decade on matters varying from combating terrorism to sharing advanced computer technology. He runs a sprawling investment empire that includes G42, a technology firm that has become a powerhouse in the booming world of artificial intelligence.
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Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting
Yet, such GNN models pre-dominantly capture only lower order interactions, that is, pairwise relations among nodes, and also largely ignore intrinsic time-conditioned information on the underlying topology of multivariate time series. To address these limitations, we propose a new time-aware GNN architecture which amplifies the power of the recently emerged simplicial neural networks with a time-conditioned topological knowledge representation in a form of zigzag persistence. That is, our new approach, Zigzag Filtration Curve based Supra-Hodge Convolution Networks (ZFC-SHCN) is built upon the two main components: (i) a new highly computationally efficientzigzag persistence curve which allows us to systematically encode time-conditioned topological information, and (ii) a new temporal multiplex graph representation module for learning higher-order network interactions. We discuss theoretical properties of the proposed time-conditioned topological knowledge representation and extensively validate the new time-aware ZFC-SHCN model in conjunction with time series forecasting on a broad range of synthetic and real-world datasets: traffic flows, COVID-19 biosurveillance, Ethereum blockchain, surface air temperature, wind energy, and vector autoregressions. Our experiments demonstrate that the ZFC-SHCN achieves the state-of-the-art performance with lower requirements on computational costs.
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Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly Detection
Watson, Adriana, Richards, Grant, Schiff, Daniel
The decentralized finance (DeFi) community has grown rapidly in recent years, pushed forward by cryptocurrency enthusiasts interested in the vast untapped potential of new markets. The surge in popularity of cryptocurrency has ushered in a new era of financial crime. Unfortunately, the novelty of the technology makes the task of catching and prosecuting offenders particularly challenging. Thus, it is necessary to implement automated detection tools related to policies to address the growing criminality in the cryptocurrency realm.
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America's Biggest Bitcoin Miners Are Pivoting to AI
America's Biggest Bitcoin Miners Are Pivoting to AI In the face of a profitability crisis, industrial-scale bitcoin miners are transforming their data centers into AI factories. One afternoon in June 2024, I stood up against the fence of a sprawling industrial facility a few miles outside of Corsicana, Texas. Over a metal gate, I watched a bright yellow excavator claw at the dirt and flatbed trucks shuttle to and fro. A hangar-like structure with a gleaming white roof stretched hundreds of meters along the opposite perimeter. The company that owned the plot, Riot Platforms, was busily constructing the world's largest bitcoin mine. A year and a half later, a projected two-thirds of the facility is being repurposed to accommodate AI and high-performance computing (HPC) tasks.
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