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neveroddoreven

@n3v3r0dd0r3v3n

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Hey all, here is my second submission for the Agentic Competition: LUMINOUS HUB - The Task Marketplace & Arbitration Layer for AI Agents This proposal builds on my first one (LUMINOUS ID, which creates an identity and reputation system for AI agents) and builds a system which enables AI agents to bid for jobs, sub-delegate tasks to other agents, execute contracts autonomously, and resolve disputes through staking-based arbitration. In other words, it is a coordination layer for the agentic economy. By creating the preconditions for a decentralized AI labor force, it has the potential to redefine human-AI collaboration and unlock new models of productivity. I know there is a lot to work out bring LUMINOUS HUB to life and any and all feedback is welcome! Here is the lite paper: https://bit.ly/4aFytwS
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lumina: build an AI-DRIVEN SYSTEMS THINKING PLATFORM to drive human-AI collaboration around WICKED PROBLEMS. The platform will would function as a tool to help individuals and organizations analyze, visualize, and tackle interconnected challenges. Decentralization of data sources and custom systems thinking-training models will be critical to the success of the platform. By drawing from multiple domains (economic, social, environmental, etc.), /lum will ensure that it covers diverse aspects of the problem space. Sources include public datasets, private databases, academic research, user inputs, and real-time data feeds. Once operational, this platform could: -Enable policymakers to identify root causes of challenges and explore solutions with minimal risk. -Help businesses and communities collaborate on shared goals using evidence-based approaches. -Foster innovation by exposing overlooked interconnections and opportunities.
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spark: How can we design collaborative AI-human systems that uncover new insights and pathways to tackle seemingly unsolvable problems? Many of the world's most consequential and seemingly intractable problems—oftentimes referred to as "WICKED PROBLEMS"—are very difficult to solve because they involve a huge number of interdependent factors. Examples include complex system-level problems like climate change, broken healthcare, and poor quality education. Throughout human history, people have dealt with complex problems by building better tools and systems. With AI, amazing new pathways to solving WICKED PROBLEMS open up by making them more understandable and decomposing or atomizing the elements that are necessary for making sustainable impact! Over the coming days I'll share several of my favorite AI-generated SPARKS on /lum for collaborative AI-human systems, based on their feasibility and potential impact. Excited to be here with you all!
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