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Tether Applauds Court Decision for Removal of Roche Freedman LLP

We are pleased with the Court’s thorough and well-reasoned decision to remove Roche Freedman LLP as interim class counsel. Roche Freedman’s repeated attempts to trivialize and separate itself from Kyle Roche’s despicable statements describing unethical conduct were not the least bit persuasive.

It is unfortunate that our industry is riddled with cases like these that sensationalize the technology that so many of us are working hard to build.

This perception of a wild west is more fantastical than it is real, and it distracts from all of the innovation and progress that's being made day in and day out by some of the best developers in the world.

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$450 Million Frozen And Counting: T3 Financial Crime Unit Continues Global Crackdown on Illicit Crypto Flows

14 May 2026 – The T3 Financial Crime Unit (T3 FCU), a joint initiative by Tether, TRON, and TRM Labs, announced today that it has frozen over USD 450 million in illicit assets globally, strengthening regulatory collaboration to target cryptocurrency-related financial crimes. This year, T3 FCU has successfully supported investigations into crimes involving banned or […]

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Tether Launches Developer Grants Program to Fund Local-First AI and Payments Infrastructure

11 May, 2026 – Tether, the largest company in the digital asset ecosystem, announced today that it is launching a grants program to fund developers building on its open technology stack, with no cap on total payouts, tied to specific technical deliverables. The grants program is now open, and developers can apply to active tasks. […]

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Tether Unveils Medical AI That Runs on Phones, Outperforms Much Larger SoTA Models, and Can Cut the Cloud Out Entirely

7 May 2026 – Tether’s AI Research Group today launched QVAC MedPsy, a new class of medical language models designed to run directly on smartphones, wearables, and other devices with limited processing power, delivering performance that rivals and, in some cases, surpasses significantly larger models while remaining local and private. Instead of scaling performance through […]

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