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    Story Protocol partners with Oxford University to advance AI agent communication

    Yeek.ioBy Yeek.ioMarch 4, 2025No Comments2 Mins Read
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    Story Protocol has announced a partnership with Oxford University on a research initiative to advance AI agent communication and negotiation capabilities. 

    The collaboration will focus on improving clarity in AI interactions and optimizing agent-to-agent negotiations, with developments feeding into Story’s Agent TCP/IP framework.

    Agent TCP/IP is designed to facilitate AI-driven transactions of intellectual property, enabling autonomous agents to exchange, license, and manage digital assets. 

    By integrating research from Oxford, Story aims to refine how AI agents communicate, ensuring smoother and more transparent exchanges.

    “We are able to accelerate towards a future where AI agents can collaborate and exchange IP autonomously,” Story stated. 

    The company positions itself as the leading hub for AI agents, and its partnership with Oxford reflects a commitment to pioneering advancements in AI autonomy.

    Story Protocol is a purpose-built layer 1 blockchain designed to register and manage intellectual property on-chain. It allows creators to register various forms of IP — such as images, songs, real-world assets, and AI training data — and specify usage terms, facilitating decentralized and programmable IP management. 

    Oxford University and AI

    Oxford University recently partnered with OpenAI as part of a $50 million initiative involving 15 top universities to integrate AI tools into research and education. 

    The university provided 3,000 academics and staff access to ChatGPT Edu after a successful pilot. Oxford researchers gained access to OpenAI’s latest models and research grant funding through the NextGenAI initiative. 

    The collaboration included a project to digitize public domain materials from the Bodleian Libraries, making historic dissertations accessible online.

    The Story initiative aligns with broader industry efforts to enhance AI’s ability to interact effectively in decentralized digital ecosystems. 

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