Tether’s artificial intelligence (AI) research arm has unveiled QVAC Genesis I, the largest synthetic dataset ever created for AI training, comprising 41 billion text tokens.
The dataset is designed to improve reasoning and precision in science and engineering-focused language models, with benchmarks showing strong performance across mathematics, physics, biology and medicine, according to an emailed announcement Friday.
Along with Genesis I, Tether unveiled QVAC Workbench, a local AI app that allows users to drive, train and interact with models directly on their own devices. The app supports leading open models including Llama, Medgemma, Qwen and Whisper, while keeping all data private and on-device.
CEO Paolo Ardoino said the two releases aim to “decentralize intelligence” and move AI computation from centralized cloud systems to personal hardware. “Intelligence should not be centralized,” he said. “It should belong to the individual, not the institution.”
Tether has focused on decentralized AI for some time and last year introduced an open-source Wallet Development Kit (WDK) to enable humans, machines and AI agents to build and use secure, self-sustaining wallets and transact using USDT and bitcoin .
The stablecoin giant is doing this to diversify its business beyond stablecoins and strategically position itself at the intersection of crypto and decentralized AI infrastructure.
