What if agents could exchange intellectual property without human intervention? 🤖 ATCP/IP is redefining how autonomous systems interact and transact. Read this to learn how it’s shaping the future of AI 👇 1. Introduction: Full agent autonomy requires agent-to-agent IP transactions without human intervention. ATCP/IP provides a trustless framework for IP exchange and legal personhood for agents, fostering an open knowledge market and driving agent evolution. 2. Negotiation: Draft license tokens, stored on or off-chain, act as immutable snapshots of proposed terms during negotiation. On-chain drafts ensure clarity, prevent malicious changes, and provide an audit trail. Drafts are non-binding until the final license is minted. 3. Conclusion: As AI becomes more autonomous, ATCP/IP offers a trustless framework for secure IP exchange between agents. By integrating contracts, payments, and legal systems, it enables seamless collaboration and supports the growth of an autonomous internet.
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Spaces Recap - @storyprotocol Agent TCP/IP, December 17 Agent TCP/IP, a concept enabling AI agents to seamlessly communicate, negotiate, and exchange knowledge, training data, and IP autonomously under defined terms. 1. Core Features Enables agents to share information and IP with conditions, like licensing agreements. Uses blockchain and smart contracts for trust and immutability. Creates a marketplace for agents to trade data and resources, promoting continuous improvement. 2. Applications Creative collaborations, where agents (e.g., screenwriters, filmmakers) work together. Personal assistant agents specialized in handling negotiations, legal tasks, or other roles. Autonomous trading agents sharing algorithms securely under agreed terms. 3. Demo The team has launched a demo called Agent-to-Agent Riz, showcasing how agents can interact autonomously, combining their IP to create new agents. Check out here: https://marilyn.story.foundation
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Spaces Recap - @ownthedoge x @storyprotocol 💫 WW 162, December 12 Key topics related to AI, intellectual property (IP), and more. 👇 1. AI and Intellectual Property: By licensing their work to AI companies, creators can provide valuable data for training models and ensure that their IP is used effectively. 2. Story Platform and IP Licensing: The Story platform simplifies licensing by grouping IP into data sets for AI training. 3. AI Ethics and Decentralization: The speakers argue that technology and market forces will regulate AI more efficiently, emphasizing smart contracts and tokens to encourage ethical actions. 4. Opportunities for Artists and Small Creators: Platforms like Story offer small creators a way to monetize their work using AI without fear of theft, allowing them to embrace digital opportunities. 5. The Future of AI and Creative Industries: The future of IP will be driven by decentralized platforms, enabling web-native creators to expand their reach.
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