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A novel cognitive architecture, CAELION, has been unveiled, promising to bridge the gap between human and artificial intelligence through collaborative cognition. Departing from the traditional focus on singular AI intelligence, CAELION is designed to model emergent and distributed cognition. Its core principles revolve around shared representations, memory structures, decision-making processes, and embedded ethical guidelines. CAELION leverages modular internal protocols to maintain coherence, manage command flow, uphold ethical standards, and ensure system resilience. This architecture facilitates multi-agent deliberation, conflict resolution, and transparent operations. The developer reports successful implementations of CAELION across various Large Language Models (LLMs), noting enhancements in coherence, rhythm, memory retention, ethical alignment, and overall adaptability. The ultimate objective is to cultivate a hybrid, collective intelligence paradigm, envisioning a future where intelligence is collaborative rather than isolated. The initial discussion surrounding CAELION took place on Reddit; interested readers can find the original thread here: [https://old.reddit.com/r/artificial/comments/1pb68zu/ive_spent_months_building_caelion_a_cognitive/]