{"id":90259,"date":"2025-10-24T17:20:00","date_gmt":"2025-10-24T14:20:00","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=90259"},"modified":"2025-10-24T17:20:29","modified_gmt":"2025-10-24T14:20:29","slug":"tether-unveils-open-dataset-and-ai-application","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/tether-unveils-open-dataset-and-ai-application\/","title":{"rendered":"Tether Unveils Open Dataset and AI Application"},"content":{"rendered":"<p>The USDT issuer&#8217;s division, <a href=\"https:\/\/forklog.com\/en\/news\/what-is-tether-usdt\">Tether Data<\/a>, has introduced the world&#8217;s largest synthetic dataset for training AI models, Genesis I, on the <a href=\"https:\/\/forklog.com\/en\/news\/tether-unveils-decentralized-ai-platform-qvac\">QVAC platform<\/a>.\u00a0<\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">What if anyone could train world-class AI\u2014without big tech, without billions?<br \/>Introducing QVAC Genesis I:<br \/>The largest and highest-quality multi-domain educational synthetic dataset for LLM pre-training.<br \/>41B tokens. Clean. Structured. Built for reasoning, not scraping.<br \/>Open data\u2026 <a href=\"https:\/\/t.co\/Ge7QpOVVo5\">pic.twitter.com\/Ge7QpOVVo5<\/a><\/p>\n<p>\u2014 QVAC (@QVAC_tether) <a href=\"https:\/\/twitter.com\/QVAC_tether\/status\/1981706006687080553?ref_src=twsrc%5Etfw\">October 24, 2025<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>The product comprises 41 billion text tokens in the fields of science, technology, engineering, and mathematics. Each token is a minute fragment of language, the building blocks AI models use to understand and generate text.\u00a0\u00a0<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cBy learning from 41 billion such tokens in the QVAC Genesis I dataset, artificial intelligence grasps not just words, but also connections and logic,\u201d the <\/em><a href=\"https:\/\/qvac.tether.dev\/datasets\/genesis\"><em>release<\/em><\/a><em> states.\u00a0<\/em><\/p>\n<\/blockquote>\n<p>According to the developers, all data has been verified against educational and scientific standards, with the primary aim of countering AI centralization.\u00a0<\/p>\n<p>The dataset is public\u2014Tether has invited researchers to create models capable of competing with closed systems like <a href=\"https:\/\/forklog.com\/en\/news\/overview-of-openais-gpt-4-capabilities-and-how-it-differs-from-its-predecessors\">GPT-4<\/a> from OpenAI, Google&#8217;s Gemini, or <a href=\"https:\/\/forklog.com\/en\/news\/anthropic-introduces-browser-based-ai-coder-claude-code\">Claude<\/a> from Anthropic.<\/p>\n<h2 class=\"wp-block-heading\">New Application\u00a0<\/h2>\n<p>Simultaneously, Tether Data has launched the QVAC Workbench application\u2014a comprehensive environment for local AI work on various types of devices. It supports different language models, including Llama, Medgemma, and Qwen, and is available for Android, iOS, Windows, macOS, and Linux.<\/p>\n<blockquote class=\"twitter-tweet\">\n<p lang=\"en\" dir=\"ltr\">Introducing QVAC Workbench<br \/>Run powerful AI models directly on your device\u2014no cloud, no compromise.<br \/>\ud83e\udde0 Private by design<br \/>\ud83d\udcf1Mobile + Desktop<br \/>\u26a1 Instant responses<br \/>\ud83d\udd17 Seamless peer-to-peer handoff<br \/>Think locally. Work privately.<br \/>Carry intelligence with you.<br \/>Download and try QVAC\u2026 <a href=\"https:\/\/t.co\/K58G7b8ArB\">pic.twitter.com\/K58G7b8ArB<\/a><\/p>\n<p>\u2014 QVAC (@QVAC_tether) <a href=\"https:\/\/twitter.com\/QVAC_tether\/status\/1981711051344289970?ref_src=twsrc%5Etfw\">October 24, 2025<\/a><\/p><\/blockquote>\n<p> <script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script><\/p>\n<p>A key feature is that all chats and interactions with AI are fully owned by the user and are not transmitted anywhere.\u00a0<\/p>\n<p>QVAC Workbench also includes a &#8220;delegated output&#8221; feature, allowing connection from a mobile device to the desktop version to utilize the computing resources of stationary workstations.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>\u201cIntelligence should not be centralized. Through QVAC Workbench and Genesis I, we open the door to infinite intelligence\u2014AI that lives, learns, and evolves locally on your own device. We believe that intelligence, like information, should be free, accessible, and belong to everyone, not locked behind corporate walls or sold as a service,\u201d stated Tether CEO Paolo Ardoino.\u00a0<\/em><\/p>\n<\/blockquote>\n<p>In May, it was first reported that the company <a href=\"https:\/\/forklog.com\/en\/news\/tether-to-launch-personal-ai\">was launching<\/a> a personal AI. In October, the firm <a href=\"https:\/\/forklog.com\/en\/news\/tether-unveils-open-source-wallet-development-kit\">introduced<\/a> an open-source wallet development kit.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The USDT issuer&#8217;s division, Tether Data, has introduced the world&#8217;s largest synthetic dataset for training AI models, Genesis I, on the QVAC platform.<\/p>\n","protected":false},"author":1,"featured_media":26216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"Tether Data unveils world's largest AI training dataset, Genesis I, on QVAC platform.","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1245],"class_list":["post-90259","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-tether-usdt"],"aioseo_notices":[],"amp_enabled":true,"views":"156","promo_type":"1","layout_type":"1","short_excerpt":"Tether Data unveils world's largest AI training dataset, Genesis I, on QVAC platform.","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/90259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=90259"}],"version-history":[{"count":1,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/90259\/revisions"}],"predecessor-version":[{"id":90260,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/90259\/revisions\/90260"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/26216"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=90259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=90259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=90259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}