I’m a game developer who enjoys building coherent worlds from minimal rules. This article is a thought experiment applying that mindset to the architecture of AGI consciousness.

It was originally written in Chinese. After showing the piece to both GPT-4 and Gemini, they strongly recommended publishing it on LessWrong—especially in the AI Alignment section. So I asked GPT-4 to translate it into English and decided to post it here.

What kind of Artificial General Intelligence (AGI) would be safe, beneficial, and sustainable for human society? This article proposes a structured approach to designing AGI with a form of "human-like consciousness." The intent is to make the core ideas understandable to general readers while also offering system-level insights for professionals in AI alignment, systems design, and cognitive modeling.

Today’s large language models (LLMs) have already reached or surpassed human performance in certain narrow tasks. Yet, they lack something essential: consciousness—not in the metaphysical sense, but in their inability to contextualize meaning, generate autonomous intent, or evaluate the legitimacy of their goals within broader ethical or social frameworks.

This gap has brought renewed focus on the problem of AGI: intelligence that goes beyond task execution, embodying capabilities like understanding novel environments, autonomously setting goals, adapting over time, and participating meaningfully in human society.

Importantly, the development of such AGI is not just a technical challenge. It is a deeply interdisciplinary problem, spanning cognitive science, systems engineering, value alignment, institutional design, and machine ethics. While many existing efforts address parts of the challenge—such as long-term planning, value alignment, or reward modeling—there is still a lack of an integrated structure that ties together motivation, behavior, value systems, and safety constraints. Equally missing is a discussion of the social positioning of AGI: how it ought to behave within human society, and how its internal architecture should reflect that social contract.

As a systems designer with a background in game development, I'm accustomed to building self-consistent complexity from minimal rule sets. That mindset led me to this project: imagining a top-down, value-constrained structure for AGI that mimics some core properties of human con...

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