# Why are we different? ### Team / Knowledge / Experience / Technology We are a team of experts with a strong academic and scientific background (master's degrees, PhDs) and experience (Amazon, META, Porsche Motorsport) who began this project in January 2022 (yes, more than 3 years ago!). All the way before ChatGPT and OpenAI became widely popular. As a result, unless others, we are not using OpenAI/ChatGPT. We created custom machine learning and deep learning models that are unlike anything else on the market. This enables us to accomplish what others cannot: develop a true artificial intelligence that powers the entire Crypticorn ecosystem. As stated on our "Technology" page, we use a variety of sources and AI models to generate our predictions and trading algorithms. Our scientific background allows us to stay ahead of the market by utilising cutting-edge technology (SOTA) from the most recent scientific applications. All of this combined allows the Crypticorn team to outperform all other teams in the space. ### $AIC Token Holders Communication: We decided to be transparent with what we do, so we share everything we do and allow our $AIC token holders to make important decisions about Crypticorn's future direction. We conduct regular AMA (Ask-Me-Anything) sessions with our token holders to keep them up to date on the latest developments, decisions, and marketing progress. Unlike other projects, we regularly solicit feedback through polls to determine which exchanges to implement next, what products to focus on, and so on. This is unlike any other project you will come across. --- # 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://docs.crypticorn.com/crypticorn-token-aic/why-are-we-different.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.