Tether releases QVAC Genesis III dataset to enhance AI reasoning

Tether’s AI research arm, QVAC, has released Genesis III, a massive dataset containing 191.43 billion tokens aimed at teaching smaller AI models how to reason through STEM problems rather than just guess at patterns. The data covers 19 distinct STEM domains and is freely available on Hugging Face under a Creative Commons CC-BY-NC 4.0 license. What Genesis III actually does The core innovation here is what QVAC calls a “dual teacher-distillation strategy.” In plain terms, the system uses a weaker AI model as a student, then learns from that student’s mistakes and successes in two different ways. When the student model gets an answer wrong, the system generates corrective explanations that walk through why the error happened and what the right reasoning looks like. When the student gets something right, the system creates contrastive reasoning that compares the correct answer against other plausible options, explaining why each alternative falls short. The numbers tell a compelling story Genesis III is a significant escalation from its predecessors. Genesis I contained 41 billion tokens, Genesis II scaled up to 148 billion, and now Genesis III lands at 191.43 billion. Performance ben...