Subnet 34
BitMind
BitMind detects AI-generated images using decentralized, advanced AI models to ensure media integrity
SN34 : BitMind
| Subnet | Description | Category | Company |
|---|---|---|---|
| SN34 : BitMind | Deepfake detection | Deepfake detection | BitMind |
The BitMind Subnet is a cutting-edge solution within the Bittensor network, utilizing advanced generative and discriminative AI models to detect AI-generated images. It operates on a decentralized, incentive-based framework designed to enhance trustworthiness while driving ongoing technological progress. With the rapid increase in high-quality synthetic media produced by generative AI models, distinguishing between real and artificial content has become increasingly challenging. The BitMind Subnet tackles this issue by offering powerful detection mechanisms to help preserve the integrity of digital media.
They are expanding their accessibility by developing an intuitive API and user interface, making it easier for users to integrate and leverage their detection technologies. Their platform continuously incorporates the latest AI research and advancements, ensuring it stays ahead of evolving generative techniques.
Miners
Responsible for running binary classifiers that distinguish between authentic and AI-generated content.
Foundation Model: Drawing from insights in the 2024 CVPR paper Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection, their primary model employs Neighborhood Pixel Relationships to identify specific anomalies in AI-generated images.
Research Integration: They continuously update their detection models and methods based on the latest academic research, providing their community with resources like training codes and model weights.
Validators
Tasked with testing miners by presenting them with a carefully balanced selection of real and synthetic images sourced from a wide array of inputs.
Resource Expansion: They are dedicated to enhancing the validators’ effectiveness by expanding the diversity and size of the image pool, ensuring robust testing and validation processes.
At BitMind, they are driven by a strong belief in the power of innovation and creativity. The company was established in response to the increasing demand for Decentralized AI solutions. Their team of experts brings extensive experience in web3, AI, and distributed networking, with a deep passion for open-source technology, decentralization, and developing exceptional consumer software. Their mission is to make it easy for anyone to fully tap into the potential of Decentralized AI.
Ken Miyachi – Co-Founder
Ammar Mohiyadeen – Marketing Manager
Dylan Uys – AI
Benjamin Liang – AI
Andrew Liang – AI
