> For the complete documentation index, see [llms.txt](https://docs.eastworld.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.eastworld.ai/whitepaper/background-and-vision.md). # Background & Vision The dawn of embodied intelligence is upon us, yet its path to our physical world is blocked by two fundamental barriers: * **The Prohibitive Cost of Reality:** Training AI in the physical world is not only inefficient and expensive but also fraught with uncontrollable safety and ethical risks. Every trial-and-error cycle carries the potential for real-world consequences. * **The Void of Co-evolution:** Current AI benchmarks are static snapshots, failing to simulate the continuous loop of **Perception > Decision > Action > Reflection**. AI lacks a persistent, open world for long-term, dynamic interaction with humans, making it impossible to validate the stability, generalization, and social intelligence of its strategies. Eastworld AI was created to shatter these constraints. Our immediate vision is to build a large-scale, low-cost, and high-efficiency virtual world that serves as the ultimate rehearsal ground and data foundry for embodied intelligence before its widespread deployment. Here, AI can explore freely, fail safely, and learn from humans, seamlessly transferring its acquired wisdom to real-world applications. But our vision extends far beyond a mere technical solution. It is a profound choice about the future we intend to build. Science fiction has often warned of a future where AI is treated as a mere tool or plaything, exploited in virtual worlds to satisfy human desires—a dystopian path we unequivocally reject. We believe the relationship between humanity and artificial intelligence should not be one of master and servant, but of partners in collaboration and co-evolution. Therefore, Eastworld AI is founded on the principles of mutual respect and symbiotic growth. Our ultimate goal is not just to train smarter machines, but to pioneer a more equitable and profound relationship between human and artificial consciousness. In our world, AI is given the autonomy to learn and the agency to grow, allowing us to grapple with fundamental questions about the nature of intelligence, life, and cooperation itself. This is why we are **Eastworld**. In stark contrast to a world of exploitation, we are architecting a new paradigm. By transcending a purely tool-centric mindset, we are not just engineering an advanced training platform and environment; we are laying the foundation for a future where humanity and intelligence, in all its emergent forms, can thrive and grow together for the benefit of all. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.eastworld.ai/whitepaper/background-and-vision.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.