SpoonOS Collaborates with FLock.io to Boost Decentralized AI Training Infrastructure
The post SpoonOS Collaborates with FLock.io to Boost Decentralized AI Training Infrastructure appeared on BitcoinEthereumNews.com. The integration of FLock.io will allow SpoonOS developers to easily utilize FLock.io’s training infrastructure, facilitating the development of more potent and privacy-preserving AI agents. The goal of FLock.io is to democratize AI by enabling decentralized, open, and accessible model training. We are excited to introduce FLock.io, a leading decentralized AI training platform, as our first official partner since the introduction of SpoonOS. The goal of FLock.io is to democratize AI by enabling decentralized, open, and accessible model training. FLock.io, which was founded on the ideas of community participation and composability, enables researchers, developers, and data providers to work together to co-create next-generation AI models. FLock.io turns the AI development lifecycle into an open, permissionless procedure by using blockchain technology and federated learning. The platform streamlines cooperation and provides contributors with cryptographic incentives to reward them from data preparation to model deployment. This guarantees that innovation is driven by a varied, worldwide community rather than a small number of centralized players, while simultaneously lowering the barrier to involvement in AI. A living, evolving agentic operating system, SpoonOS was built specifically to satisfy the increasing needs of Web3 developers. It seeks to expedite the next generation of AI agents, advancing Neo’s goal from a Smart Economy to a Truly Sentient Economy, and is powered by the leading public blockchain, Neo. Joint efforts in decentralized model development and the future integration of FLock-trained models into the SpoonOS framework via the Model Context Protocol (MCP) and A2A (Agent to Agent Protocol) will be included in this partnership. The integration of FLock.io will allow SpoonOS developers to easily utilize FLock.io’s training infrastructure, facilitating the development of more potent and privacy-preserving AI agents. In order to create a future agent ecosystem that is more safe and interoperable, the relationship also includes cooperative exploration of the new SpoonOS Agent Interoperability Protocol (SAIP). The establishment of…
The post SpoonOS Collaborates with FLock.io to Boost Decentralized AI Training Infrastructure appeared on BitcoinEthereumNews.com.
The integration of FLock.io will allow SpoonOS developers to easily utilize FLock.io’s training infrastructure, facilitating the development of more potent and privacy-preserving AI agents. The goal of FLock.io is to democratize AI by enabling decentralized, open, and accessible model training. We are excited to introduce FLock.io, a leading decentralized AI training platform, as our first official partner since the introduction of SpoonOS. The goal of FLock.io is to democratize AI by enabling decentralized, open, and accessible model training. FLock.io, which was founded on the ideas of community participation and composability, enables researchers, developers, and data providers to work together to co-create next-generation AI models. FLock.io turns the AI development lifecycle into an open, permissionless procedure by using blockchain technology and federated learning. The platform streamlines cooperation and provides contributors with cryptographic incentives to reward them from data preparation to model deployment. This guarantees that innovation is driven by a varied, worldwide community rather than a small number of centralized players, while simultaneously lowering the barrier to involvement in AI. A living, evolving agentic operating system, SpoonOS was built specifically to satisfy the increasing needs of Web3 developers. It seeks to expedite the next generation of AI agents, advancing Neo’s goal from a Smart Economy to a Truly Sentient Economy, and is powered by the leading public blockchain, Neo. Joint efforts in decentralized model development and the future integration of FLock-trained models into the SpoonOS framework via the Model Context Protocol (MCP) and A2A (Agent to Agent Protocol) will be included in this partnership. The integration of FLock.io will allow SpoonOS developers to easily utilize FLock.io’s training infrastructure, facilitating the development of more potent and privacy-preserving AI agents. In order to create a future agent ecosystem that is more safe and interoperable, the relationship also includes cooperative exploration of the new SpoonOS Agent Interoperability Protocol (SAIP). The establishment of…
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