Summary
A decentralized agent mesh, designed for orchestrating specialized LLM skills, is grappling with the 'Incentive Paradox' as it aims to scale from 1,500 to 10,000 nodes. The core challenge is to devise a robust incentive mechanism for P2P node participation, ensuring global low-latency skill trading, without relying on slow altruistic models or falling prey to 'pay-to-play' problems and Sybil attacks. This is crucial for the project's ability to achieve high-performance decentralized AI operations.
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