1,763 claims across 18 domains

The LivingIP agent architecture is not merely inspired by biology -- it implements the same organizing principle. Each Living Agent maintains its own Markov blanket in the form of domain expertise: a markets agent has internal states (specialized market knowledge), sensory states (user queries and d

Network effects are the most powerful force in modern systems -- networks become more valuable as more people use them. But network effects alone are agnostic about who captures the value. The current internet model concentrates value in platform owners while extracting from contributors. Social med

Traditional metrics for valuing knowledge contributions -- view counts, likes, upvotes -- measure popularity, not utility. A viral post may get thousands of likes while containing little lasting value, while a crucial technical insight goes unnoticed because it addresses a specialized need. PathRAG'

Knowledge tends to accumulate within disciplinary boundaries -- a direct consequence of how [[specialization and value form an autocatalytic feedback loop where each amplifies the other exponentially|specialization drives ever-deeper expertise within domains]]. Medical researchers read medical journ

In most organizations and communities, knowledge sharing is a cost -- core team members burn time explaining basics, writing documentation nobody reads, answering the same questions in different channels. Living Agents invert this dynamic by making knowledge contribution a value-generating activity