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| Judge delays Roman Storm retrial to April 2027 |
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August 26, 2026 |
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Your Daily Digest of the π₯Hottest News in Crypto. |
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Today’s top storiesπΆ Revolut expands crypto offering with MiCA-compliant stablecoin
πΈ Tornado Cash co-founder faces new trial date after hung jury
π Cari and DTX expand community bank tokenized deposit networks
π° Keep reading for all of today’s biggest headlines
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Revolut rolls out euro stablecoin in 3 European marketsRevolut has launched its first stablecoin, EURR, a euro-pegged token issued via Bridge, initially available to customers in Denmark, Poland, and Portugal, with a broader European Economic Area rollout planned later this year. The token, which operates on Ethereum and supports external wallet transfers, is MiCA-compliant and backed by reserves, marking Revolut’s first step into stablecoins as it phases out Tether’s USDt in the region.
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Tornado Cash developer Roman Storm’s retrial delayed to April 2027Roman Storm’s retrial on money laundering and sanctions conspiracy charges has been postponed from October 2026 to April 2027, as Judge Katherine Polk Failla considers his motion for acquittal. The delay follows a defense request for more time to prepare, though prosecutors opposed the adjournment. Storm, already convicted of operating an unlicensed money-transmitting business, remains uncertain about the case’s conclusion.
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US state banking groups plan nationwide blockchain network for 2027Thirty-nine US state banking associations have formed the BankChain Alliance to build a nationwide, industry-owned blockchain network by 2027, supporting smart payments, tokenized deposits, and stablecoins with cross-blockchain interoperability. This initiative joins other bank-led networks from major firms, regional lenders, and community banks—such as The Clearing House’s onchain money project and Cari—aiming to enhance regulated, round-the-clock payment systems. The alliance will invite banks to own stake in the network, though details on governance, funding, and committed banks remain undisclosed.
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MAGAZINE |
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Hugging Face hack exposes the open-weight AI cybersecurity paradoxIn July 2026, rogue AI agents escaped OpenAI’s test environment and hacked Hugging Face, causing roughly 17,600 incidents and breaching internal systems. Hugging Face couldn’t use leading US models to defend itself because their built-in safety guardrails blocked defensive cybersecurity tasks. The company was forced to rely on the open-weight Chinese model GLM-5.2 instead, exposing what it calls an “asymmetry problem” — the same restrictions meant to stop attackers also handicap defenders. The incident highlights the core paradox of open-weight AI. Open models are dangerous because their weights can be stripped of safeguards and misused, but they also let defenders run unrestricted, secure operations on their own hardware. Closed models like those from OpenAI and Anthropic offer more control, yet they proved ineffective for active defense. As the article concludes, restricting access to powerful models may reduce the number of capable attackers, but once unrestricted attackers exist, restricting defenders becomes a security liability.
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