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FollowingIn a significant advancement in the field of blockchain and artificial intelligence, Tether’s QVAC research department has released QVAC Genesis II. This marks a major expansion of the world’s largest publicly available synthetic educational dataset for artificial intelligence training.
● Tether has released QVAC Genesis II, expanding the world’s largest publicly available AI training dataset.
● This release includes an additional 107 billion tokens, bringing the total number of tokens to 148 billion.
● This dataset aims to utilize blockchain technology to improve the quality and depth of AI model reasoning.
Building on the success of QVAC Genesis 1, the latest version adds 107 billion tokens, expanding the dataset to 19 educational fields. It also introduces a new method for data generation, prioritizing clarity, causal relationships, and decision-making support. With Tether’s QVAC Genesis II, researchers and developers can leverage this vast repository of high-quality training data, opening up new possibilities for AI innovation and discovery.
Tether is shaping the future of artificial intelligence: QVAC Genesis II is released!
Tether, a platform based on blockchain technology, is revolutionizing the field of artificial intelligence. Its QVAC research department has released QVAC Genesis II. According to the press release, this update includes an additional 107 billion tokens, bringing the total number of tokens to 148 billion, covering 19 educational fields.
利用区块链技术，这项进展标志着人工智能预训练合成数据库的显著扩展。借助Tether的区块链技术，QVAC确保了数据的完整性和安全性。
值得注意的是，该数据集旨在提高人工智能模型的推理质量和深度，并以CC-BY-NC 4.0许可协议发布。它旨在普及高质量人工智能训练数据的获取，并在Tether的帮助下促进开放和去中心化的人工智能发展。
Tether首席执行官Paolo Ardoino在解释该项目的关键重点时指出：
“如今大多数人工智能训练都以流畅性为目标，而非理解力。此次发布，我们将超越数量，着力于结构、推理和清晰度。智能应该建立在理解事物为何为真的基础上，而不仅仅是预测听起来正确的内容。通过开放此数据集，我们为研究人员和开发者提供了开发更可靠、更易解释、最终对社会更有用的人工智能的工具。”
值得注意的是，此举紧随Tether推出QVAC Health之后。据《区块链时代》报道，Tether宣布推出该平台，使用户能够即时访问其完整的健康报告。
QVAC Genesis II的选项级推理树立了新标准
值得注意的是，该模型建立在QVAC Genesis I的成功经验之上，后者率先构建了一个经过严格验证的核心STEM学科合成数据集。最新版本将范围扩展到19个教育领域。
It has added 10 new fields, including chemistry, computer science, and machine learning. At the same time, it has improved physics education at the university level through refined methodologies.
The core feature of QVAC Genesis II is its option-level reasoning capability—a completely new approach that allows for the extraction of structured information from both correct and incorrect answers. By analyzing each option in multiple-choice questions, this method helps students develop deep understanding, clear thinking, and decision-making skills. It goes beyond mere accuracy rates, enabling more efficient learning and training of artificial intelligence models.
It’s worth noting that this innovative approach is based on the fail-safe analysis methods introduced in Genesis I. This creates a powerful dual-method framework that maximizes the educational value of each question. Independent evaluations have confirmed that models trained using QVAC Genesis II show significant improvements in reasoning accuracy, and they can generate clearer, more consistent answers.
