Telegram has joined the AI privacy revolution with its backing of Cocoon, a decentralized confidential compute network built on the TON blockchain. Cocoon aims to address key challenges in AI development – high costs, data privacy concerns, and dependence on centralized providers. This technology enables developers to run complex AI tasks privately using GPUs while earning Toncoin for their services. How it Works: Cocoon connects three key groups – developers seeking private AI processing, GPU owners with unused hardware, and Telegram users who can leverage private AI requests. Cocoon utilizes Trusted Execution Environments (TEEs), like Intel TDX, to encrypt data throughout the process, ensuring secure execution even from GPU owners who don’t have access to the actual task details. **Why it Matters:** Cocoon offers a solution for high costs associated with traditional cloud computing, while maintaining privacy by decentralizing the infrastructure and minimizing dependence on centralized providers like Amazon Web Services or Microsoft Azure. This approach aligns with the growing trend of decentralized AI platforms that prioritize user control over their data and limit reliance on single entities for crucial processes. Benefits for Developers:** Cocoon’s platform empowers developers to run complex AI tasks privately, access private AI tools through Telegram mini-apps, and earn Toncoin for completing AI tasks. **Telegram’s Role:** Telegram, a messaging app with millions of active users, is the first major customer of Cocoon. By integrating AI into their platform using Cocoon’s network, they provide privacy-focused interactions while also accelerating Cocoon’s growth through direct user demand. **The Future of Privacy in AI:** Cocoon represents a significant step towards more private and transparent AI processing by leveraging blockchain technology to secure data throughout the process. However, challenges remain regarding scalability and regulatory considerations as the industry continues to evolve. Key Features: Confidential AI execution through TEEs, global marketplace for GPU providers, payments settled in Toncoin, integration with Telegram mini-apps, support for large AI models such as DeepSeek and Qwen, end-to-end encrypted inference. **Conclusion:** Cocoon’s decentralized approach to AI processing stands out as a promising alternative to traditional centralized platforms. By tackling privacy concerns, promoting transparency, and empowering both developers and hardware providers, Cocoon is paving the way for a more equitable future in the world of AI.