Lets go! @BitMindAI launching the Deep Fake Detection Subnet to solve a huge problem of deciphering what is AI-generated and what is real. Open, transparent, and decentralized. #Bittensor #BitMind $TAO https://t.co/632ybidAuJ
BitMind Deep Fake Detection Subnet is live on #Bittensor which produces highly accurate classification of real vs AI-generated media content. https://t.co/3FDXTk1geK $TAO #decentralizedAI #deepfakes https://t.co/FlL2Imo2cC
The BitMind Subnet is live on #Bittensor! Check out Subnet 34. Build and get compensated for building the most accurate deep fake detection models! Get Started: https://t.co/oOTkqJuObL $TAO #BitMind #decentralizedAI #deepfakes



The launch of the BitMind Deep Fake Detection Subnet on the Bittensor platform marks a significant advancement in decentralized artificial intelligence. The subnet aims to provide accurate classification of real versus AI-generated media content, addressing the growing concerns surrounding deepfakes. The project is backed by the Bittensor protocol, which is experiencing growth in the decentralized AI space, as indicated by the market capitalization of its token, TAO, currently at $2.4 billion. In contrast, the DEAI protocol, with a market cap of $28 million, is highlighted as a promising alternative. The launch is seen as a public good, emphasizing transparency and decentralization in AI technologies. The BitMind Subnet is now live, inviting developers to contribute to building effective deep fake detection models.