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Telegram Launches Decentralized Privacy Computing Network Cocoon
According to BlockBeats, Telegram founder Pavel Durov announced the official launch of Cocoon, a decentralized privacy computing network. Cocoon is composed of three main components: clients, proxies, and work nodes.
Clients initiate work requests to proxies and pay fees upon completion. Proxies route these requests to work nodes, selecting nodes based on device model, load, and reputation. Protected by TEE, proxies pay nodes from client fees, with nodes earning commissions. Telegram plans to allow anyone to run their own proxy, aiming for complete decentralization.
Work nodes execute AI inference requests within TEE-protected virtual machines and receive payment from proxies. Anyone with a GPU can become a work node and earn $TON by contributing AI computing power to the decentralized network. By running the Cocoon protocol stack on TEE-supported GPU servers, private and verifiable AI model execution is possible, with transparent $TON payments for processed requests.
Durov noted that some AI-related Telegram features, such as message translation, are partially supported by Cocoon. He mentioned voice-to-text and summarization features, indicating Cocoon's practical applications from the start. Telegram mini-programs are expected to increase demand for Cocoon's network.
Unlike previous Telegram NFT projects, Cocoon integrates blockchain and $TON as a payment method, focusing on decentralized AI computing without issuing new tokens. This reflects a growing trend of privacy concerns regarding centralized AI companies. In the crypto space, privacy projects increasingly emphasize "data sovereignty protection."
Currently, Cocoon's total TVL is approximately 4487 TON, with 30 work nodes, 18 proxies, and 12 clients, indicating early-stage development. Supported by Telegram's built-in functionality and TON incentives, Cocoon's future trajectory remains to be seen, as it seeks to differentiate itself from other crypto computing projects.
Clients initiate work requests to proxies and pay fees upon completion. Proxies route these requests to work nodes, selecting nodes based on device model, load, and reputation. Protected by TEE, proxies pay nodes from client fees, with nodes earning commissions. Telegram plans to allow anyone to run their own proxy, aiming for complete decentralization.
Work nodes execute AI inference requests within TEE-protected virtual machines and receive payment from proxies. Anyone with a GPU can become a work node and earn $TON by contributing AI computing power to the decentralized network. By running the Cocoon protocol stack on TEE-supported GPU servers, private and verifiable AI model execution is possible, with transparent $TON payments for processed requests.
Durov noted that some AI-related Telegram features, such as message translation, are partially supported by Cocoon. He mentioned voice-to-text and summarization features, indicating Cocoon's practical applications from the start. Telegram mini-programs are expected to increase demand for Cocoon's network.
Unlike previous Telegram NFT projects, Cocoon integrates blockchain and $TON as a payment method, focusing on decentralized AI computing without issuing new tokens. This reflects a growing trend of privacy concerns regarding centralized AI companies. In the crypto space, privacy projects increasingly emphasize "data sovereignty protection."
Currently, Cocoon's total TVL is approximately 4487 TON, with 30 work nodes, 18 proxies, and 12 clients, indicating early-stage development. Supported by Telegram's built-in functionality and TON incentives, Cocoon's future trajectory remains to be seen, as it seeks to differentiate itself from other crypto computing projects.
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