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SpoonOS Partners with Supernet to Power Trustless, Decentralized AI with Optimized LLM Integration
By: bitcoin ethereum news|2025/05/07 23:00:02
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With regard to LLM (Large Language Model) integration, we are excited to announce our collaboration with Supernet! LLMs constitute the foundation of intelligent decision-making in AI by allowing agents to reason, plan, and carry out difficult tasks. To safely execute huge models, SpoonOS’s Trustless Execution Layer enables Trusted Execution Environments (TEEs). It enables AI agents to interpret data effectively and independently by optimizing the execution of Web3-specific, fine-tuned LLMs. Supernet is a cutting-edge Layer 1 blockchain intended for decentralized, verifiable intelligence. AI coordination, ownership, and execution are enabled by its modular architecture via breakthroughs such as: Super Agent: An AI planning LLM that is decentralized and self-evolving. Deferred Transactions: Transaction kinds that are AI-native for lengthy tasks. Decentralized Data Engine: Data access that is private, tokenized, and secure. Composable AI Stack: AI components that are modular for collaborative reasoning and action. Verifiable, privacy-preserving computing: maintaining secrecy while fostering trust. Our partnership will concentrate on incorporating Supernet’s soon-to-be open-source, optimized LLM into SpoonOS. Supernet is planning to create an LLM Marketplace in the next weeks, and more than a dozen projects have already committed to take part. SpoonOS is also actively contemplating joining this effort. In order to unleash the next generation of intelligent, trustless apps, SpoonOS and Supernet are working toward a future in which decentralized AI is visible, programmable, and verifiable. Stay tuned! A devoted content writer having 3 years of crypto trading experience. Loves cooking and swimming. Stays up to date with the latest developments on blockchain technology. Source: https://thenewscrypto.com/spoonos-partners-with-supernet-to-power-trustless-decentralized-ai-with-optimized-llm-integration/
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