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tethe

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first_img Tether assists in freezing nearly 550 million USD related to Iran USDT

The issuer of the stablecoin USDT, Tether, stated on September 28 that actions involving USDT in 2026 have frozen approximately $550 million, with the related wallets identified by U.S. authorities as being associated with the Central Bank of Iran and the Iranian sanctions network. Tether claimed that its cooperation with U.S. and international authorities has supported over 2,900 investigations globally, with more than 1,600 involving U.S. law enforcement agencies.According to Tether, in April 2026, it assisted in freezing over $344 million USDT across two addresses based on information provided by the U.S. Department of the Treasury's Office of Foreign Assets Control (OFAC) and U.S. law enforcement agencies. The next day, OFAC listed these addresses as digital currency identifiers of the Central Bank of Iran, with the sanctions entry associated with the Quds Force of the Islamic Revolutionary Guard Corps and Hezbollah. In July 2026, the Treasury expanded the designated scope to four additional TRON addresses, with over $130 million USDT frozen across the four wallets.Tether CEO Paolo Ardoino stated that USDT is not a safe haven for sanctioned actors, terrorist organizations, or criminal networks, and that public blockchains allow authorities to see the flow of funds, enabling Tether to take action when law enforcement provides credible information. Tether also mentioned that it collaborates with over 340 law enforcement agencies in 67 countries, and its wallet freezing policy has been aligned with the OFAC Specially Designated Nationals list.

Tether released a dataset of 191.4 billion Token STEM, betting on the "explanatory ability" of local small models

The stablecoin giant Tether's Tether AI Research today released QVAC Genesis III, a synthetic training dataset aimed at the fields of science, technology, engineering, and mathematics, with a scale of 19.143 billion tokens, covering 159.6 million documents.It is reported that Tether hopes to enhance the reasoning and teaching capabilities of small AI models, allowing more AI assistants to run directly on laptops, mobile phones, and local servers, reducing the ongoing reliance on large cloud models.Genesis III continues the data lineage of Genesis I and Genesis II, covering 19 curriculum-related fields including biology, chemistry, physics, mathematics, computer science, medicine, electrical engineering, and machine learning, aimed at high school, university, and professional applications. Tether states that the dataset will focus on training models to explain problem-solving paths, identify erroneous reasoning, and provide corrections, rather than just outputting final answers.According to Tether's disclosed test results, a 1.7 billion parameter model trained with Genesis III option-level data achieved an effective answer rate of 99.45% in relevant benchmark tests. Compared to the Cosmopedia-v2 training model of similar token scale, Genesis III improved scores on the ARC-Easy, ARC-Challenge, and MMLU STEM benchmarks by 28.57, 21.35, and 15.03 percentage points, respectively.
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