# Gata, Why? Modern AI has achieved remarkable breakthroughs, but these advances rest on a fragile foundation. Today, AI models are largely powered by data collected from centralized platforms — often without transparency, user consent, or fairness. This centralized control creates several critical problems: * a few corporations monopolize the world’s most valuable training datasets; * valuable data remains siloed across disconnected ecosystems; * users have little visibility or control over how their personal data is collected, stored, or used; * most importantly, poor-quality and biased data leads to misaligned, unsafe AI behavior. To truly align AI with human values, we need more than better algorithms — we need better data foundations. Thus, Gata is created to address this urgent need by offering a new paradigm: a decentralized, user-owned AI data layer, where data is created, verified, and owned by the community itself — not by centralized platforms. Through Gata, we aim to rebuild the infrastructure for frontier AI, grounded in openness, transparency, and trust. --- # 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://gata-1.gitbook.io/gata-docs/introduction/quickstart.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.