HK.Chat DAO Unveils Innovative Community-Led Governance and Collaboration Model
Hong Kong, China
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November 15, 2023 01:19 PM Eastern Standard Time
(King NewsWire) - HK.Chat DAO, a decentralized autonomous organization, has declared its objective to promote cooperation and involvement within the HK.Chat ecosystem. Comprising the HK.Chat community, YOHO.AI, HK.Chat NFT marketplace, IPFS resource sharing platform, and GPU cloud service functionality, this organization is poised to transform the Web3 and AI integration landscape.
In recent developments, HK.Chat DAO's primary initiative, the YOHO token, has empowered the community by providing control over DAO governance and flexibility in various domains like digital art, applications, and GPU cloud services. This token signifies a fundamental change in how communities interact with and influence decentralized ecosystems.
The community has actively participated in advancing AI technologies, encompassing deep learning and natural language processing. Collaborative innovation has been fostered through the sharing of AI models on the platform, resulting in the integration of AI across diverse fields such as production, education, healthcare, socialization, and entertainment.
HK.Chat DAO has introduced the Community Fund, earmarking 10% of the initial YOHO token supply (100M YOHO) to support developers within the community. Accessible through a transparent application process, the fund allows developers to request YOHO tokens by detailing their works and contributions. Following approval, the distribution of tokens and review outcomes is publicly disclosed, ensuring a fair and transparent process.
Furthermore, HK.Chat DAO employs a comprehensive token voting mechanism. Token holders have the authority to review and decide on the distribution of tokens to community developers or contributors. The voting process occurs on Snapshot, with pending token applications openly listed for community assessment.
For more information about HK.Chat, please visit them on
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HK.Chat
Howard Cao
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