Tether Unveils Synthetic AI Dataset to Democratize STEM Intelligence
The 41-billion-token dataset QVAC Genesis I aims to decentralize AI development, bringing model training and reasoning to local devices

What to know:
- Tether Data’s AI division, QVAC, has released Genesis I, a 41-billion-token synthetic dataset designed to train STEM-focused AI models in math, physics, biology, and medicine.
- The company also unveiled QVAC Workbench, a local AI app supporting on-device model training and inference across mobile and desktop platforms.
- CEO Paolo Ardoino said the goal is to “return intelligence to the people” by decentralizing AI ownership and computation.
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 on Friday.
Alongside Genesis I, Tether unveiled QVAC Workbench, a local AI app enabling users to run, 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 twin releases aim to “decentralize intelligence,” moving AI computation from centralized cloud systems to personal hardware. “Intelligence shouldn’t be centralized,” he said. “It should belong to the individual, not the institution.”
Tether has been focusing on decentralized AI for some time, introducing an open-source Wallet Development Kit (WDK) last year to enable humans, machines, and AI agents to build and use secure, self-custodial wallets and transact using USDT and bitcoin
The stablecoin giant is doing this to diversify their business beyond stablecoins and strategically position itself at the intersection of crypto and decentralized AI infrastructure.
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