Welcome to the BitMind Subnet! This repository contains all the necessary information to get started, understand our subnet architecture, and contribute.
- Mining Guide ⛏️
- Validator Guide 🔧
- Incentive Mechanism 📈
- Project Structure and Terminology 📖
- Contributor Guide 🤝
IMPORTANT: If you are new to Bittensor, we recommend familiarizing yourself with the basics on the Bittensor Website before proceeding.
Overview: The BitMind Subnet leverages advanced generative and discriminative AI models within the Bittensor network to detect AI-generated images and videos. This platform is engineered on a decentralized, incentive-driven framework to enhance trustworthiness and stimulate continuous technological advancement.
Purpose: The proliferation of generative AI models has significantly increased the production of high-quality synthetic media, presenting challenges in distinguishing these from authentic content. The BitMind Subnet addresses this challenge by providing robust detection mechanisms to maintain the integrity of digital media.
Features:
- Applications: See our applications page for a list of applications that leverage the BitMind Subnet to detect AI-generated media
- Model Evolution: Our platform continuously integrates the latest research and developments in AI to adapt to evolving generative techniques.
Core Components:
- Miners: Tasked with running binary classifiers that discern between genuine and AI-generated content.
- Research Integration: We systematically update our detection models and methodologies in response to emerging academic research, offering resources like training code, model weights and datasets to our community.
- Validators: Responsible for challenging miners with a balanced mix of real and synthetic images, drawn from a diverse pool of sources.
- Resource Expansion: We continuously add new datasets and generative models to our validators in order to maximize the coverage of the types of media our miners are incentivized to detect.
Subnet Architecture Diagram
The BitMind platform offers a best-in-class developer experience for Bittensor miners.
⚡ Access Compute: We offer a wide variety of CPU and GPU options
⚡ Develop in VSCode: Develop in a feature-rich IDE (we support Jupyter too if you hate rich features)
⚡ Fully Managed Devops: No more tinkering with networking configuration - register and deploy your miner in just a few clicks
⚡ Monitor Emissions: View the emissions for all of your miners in our Miner Dashboard
For real-time discussions, community support, and regular updates, join our Discord server. Connect with developers, researchers, and users to get the most out of BitMind Subnet.
This repository is licensed under the MIT License.
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