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 accuracy in science and engineering-focused language models, with benchmarks showing strong performance in math, physics, biology and medicine, according to an emailed announcement Friday.
Alongside Genesis I, Tether unveiled QVAC Workbench, a local AI application allowing users to run, train and interact with models directly on their own devices. The app supports major open models including Llama, Medgemma, Qwen and Whisper, while keeping all data private and on-device.
CEO Paolo Ardoino said both versions aim to “decentralize intelligence,” moving AI computing from centralized cloud systems to personal hardware. “Intelligence should not be centralized,” he said. “It should be up 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 create and use secure, self-custodial 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.
