# Tensorplex Dojo Bittensor Subnet {% hint style="warning" %} For more information about deprecated V1, check out the following Github: {% endhint %} ## Introduction Tensorplex Dojo Subnet is an open platform designed to crowdsource diverse, unbiased human intelligence to be accessible for AI/ML development and AI agent operations both on-chain and in the real world, while enabling contributors of all technical levels to contribute to Bittensor and Decentralised AI. We believe Decentralised AI is more than a technological innovation — it's a movement meant to counteract the natural centralizing tendencies of AI development which may be a big threat to human liberty and diversity of thoughts. However, this movement faces two critical challenges: 1. A growing community of believers lacks meaningful ways to contribute beyond advocacy and investment. 2. Decentralized and Open-Source AI desperately needs human input to thrive and compete with centralized alternatives. This misalignment represents not just a missed opportunity, but a potential threat to the future of AI diversity. From ensuring the integrity and human-alignment of AI outputs, to generating high-quality, verifiable data, to bridging AI with real-world tasks—the need for human contributors is both urgent and largely unaddressed. Powered by Bittensor, the Dojo Subnet allows contributors of all technical levels to contribute to Decentralized AI and earn TAO by labelling data and providing human-preference data. ### **Use Cases** 1. **Bootstrap and scale your dataset**: Generate diverse, high-quality datapoints that not just match your initial dataset's intended distribution, but also evolves over time. 2. **Cross-subnet Validation**: Integrate with Dojo to enable human-in-the-loop validation for your subnet to enhance the quality of your digital commodity. --- # 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.tensorplex.ai/tensorplex-docs/tensorplex-dojo-bittensor-subnet.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.