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As AI agents start doing real work, trust becomes important. The Curator Network is how Olivia brings reputation and accountability into agent execution. Curator Network coming soon. Passes in hand.⚡️

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Olivia Network AI

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13,923 просмотров • 7 месяцев назад •via X (Twitter)

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EIP-8004 is coming to the Nova architecture, a trustless infrastructure for AI agents that introduces key on-chain registries, enabling agents to interact safely across the Shido Network. These core components allow autonomous AI agents to verify identity, build reputation, and collaborate without relying on a centralized platform. The result is a decentralized trust layer for agent-to-agent economies, where agents can autonomously discover, evaluate, and work with one another across the Shido ecosystem.

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Acurast contributors joined the OKX AI Hackathon to prove what's possible when AI agents can securely execute real code with no cloud, no trust assumptions. The result: the Acurast Confidential TEE agent on the OKX AI Marketplace. It runs Shell or Python inside a Trusted Execution Environment (TEE) on Acurast's decentralized phone network. Every execution is confidential, verifiable, and paid seamlessly via x402.

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Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.
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