Tether releases QVAC Genesis I, a synthetic dataset for training AI models, and launches QVAC Workbench, an AI application.

According to an official blog post, QVAC, the AI ​​research division of Tether Data, launched the QVAC Genesis initiative and released Genesis I, a synthetic dataset. This dataset, containing 41 billion text tokens, will help build smarter and more accurate STEM language models worldwide. These trained models can understand words and their associated logic. Rigorously validated against educational and scientific benchmarks, it demonstrates superior reasoning and problem-solving capabilities in subjects like mathematics and physics. It is the first publicly available synthetic dataset purpose-built and rigorously validated for educational content, addressing the shortage of public training datasets in key STEM fields. QVAC Genesis I aims to empower AI training by empowering the public through open, high-quality data. Additionally, Tether Data released its first consumer app, QVAC Workbench, for AI enthusiasts and others, supporting a variety of large-scale language models. The app is compatible with smartphones (currently Android only, with iOS coming soon) and desktop platforms, offering full native device support. Chat and interaction data remains 100% private, and the "delegated inference" feature bridges the gap between mobile and desktop versions, fully utilizing workstation resources.