AGI Concept Map: How Agents Acquire Human Values via Interaction

mimi10v3 · x · 2026-08-21

The post presents a conceptual diagram titled gpt-5.6-sol, illustrating the developmental path of a General Intelligent Agent. The core argument is that an agent, navigating an uncertain world with limited compute among other agents, relies on "curiosity," "attachment," and "salience" to drive "play," "cooperation," and "emotion." These mechanisms facilitate predictive learning, social modeling, and communication, ultimately leading to the acquisition of increasingly rich human values through narrative, humor, and art.

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