Tether’s artificial intelligence (AI) research arm has unveiled QVAC Genesis I, the largest synthetic data set ever created for AI training, comprising 41 billion text tokens.
The data set is designed to improve reasoning and accuracy in science and engineering-focused language models, with benchmarks showing strong performance in mathematics, physics, biology and medicine, according to an emailed announcement Friday.
Along with Genesis I, Tether introduced QVAC Workbench, a local AI application that allows 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, and keeps all data private and on-device.
CEO Paolo Ardoino said the twin launches aim to “decentralize intelligence,” moving AI computing 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 been focused on decentralized AI for some time, and last year introduced an open-source wallet development kit (WDK) to allow 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 decentralized crypto and AI infrastructure.
