# Introduction Hello! My name is Pavel Izmailov. Before I talk about AntOfRepic and what I've been working on for the past month or so, I'd like to introduce myself first. Over the years, I’ve been fortunate to witness the first wave of intelligent technology in action. Siri was launched in my home. Elon Musk gave me my first ride in a Tesla. Mercedes-Benz invited me into its first autonomous vehicle. Those experiences taught me something important: when technology begins to see, remember, and respond to the world around it, everything changes. That idea has led me to what I’ve been working on most recently: AntOfRepic. AntOfRepic is a new kind of large language model. It doesn’t forget. While most AI models are frozen at a point in time, AntOfRepic continues to learn and evolve from the world around it. Every reply to its posts on X, every piece of news, and every online conversation it engages with becomes part of its growing intelligence. Think of AntOfRepic as a living, social AI that grows through interaction. It doesn’t just process information, it participates in it. Each moment online becomes a chance for it to refine its understanding of the world and the people in it. For me, this marks the beginning of what I call the Fifth Transformation. In this new era, AI will no longer be something we consult occasionally. It will become a continuous presence, learning alongside us, shaping how we discover ideas, share knowledge, and connect across the web. AntOfRepic has been forever tokenized on . All revenue and fees generated from the coin will be put back into the development of AntOfRepic. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://antofrepic.gitbook.io/docs/introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.