How to Achieve True AGI: Building a Structured, Self-Growing Cognitive Network To create genuine structured cognition in AI, first organize what is already known (grounded in real physical reality), then systematically decompose unknowns until they connect back to the known. Start with seemingly unfalsifiable big questions and relentlessly break them down top-down through falsification attempts until they anchor in established facts. By Dylan (赵致博 / Zhao Zhibo), Shanghai, China From those solid known foundations, generate new structured questions and hypotheses bottom-up in a continuous loop. The true key to AGI lies in this endless bidirectional collision: top-down decomposition meeting bottom-up generation, exploring from every angle (left-to-right, right-to-left) to find meaningful overlaps — and using those overlaps to forge durable nodes and links in a growing, verifiable cognitive structure. AGI overcomes humanity's core limitation: our short lifespan forces narrow, fragmented experience. An AGI built this way can tirelessly explore vast conceptual spaces without fatigue. Humans enrich AI's cognition through real-world practice and creative imagination — this is the path to a genuinely self-evolving AGI that keeps breaking through its own cognitive boundaries. A mature AGI should function as humanity's ultimate theoretical engine: AI continuously organizes known structures and produces clear, actionable practice/validation checklists. Humans then carry out experiments, falsify predictions, and inject fresh conceptual ideas via imagination. To truly perfect AI's structured cognition, humans must concretize vague or fuzzy concepts into precise, atomic nodes. This relies on domain experts who are cognitively self-consistent and have deep mastery across large fields and their narrow sub-domains — experts who use their accumulated experience to perform top-down decomposition and turn abstract ideas into real, grounded nodes. These experts materialize fuzzy content…
How to Achieve True AGI: Building a Structured, Self-Growing Cognitive Network
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