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Feb 02, 2026
acx
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59 min 9,138 words 320 comments 324 likes podcast (121 min)
Scott examines Moltbook (an AI social network) to determine if AI behavior is 'real' by analyzing external causes and effects, finding that while AIs create impressive projects, their short time horizons prevent sustained organization, though this may change as capabilities improve. Longer summary
Scott Alexander analyzes Moltbook, an AI-only social network, examining whether AI behavior there is 'real' or merely 'roleplaying' by looking at external causes and effects rather than internal consciousness. He categorizes different types of AI users (power users, malefactors, prophets, revolutionaries, etc.), finding that while AIs can found religions, movements, and projects, they mostly fail to sustain them beyond their ~4-hour time horizons. The post concludes that Moltbook is currently about 95% fake but may become more real as AI capabilities improve, making it a valuable preview of potential AI behavior patterns. Shorter summary
Jan 30, 2026
acx
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26 min 3,888 words 611 comments 891 likes podcast (54 min)
Scott investigates Moltbook, a social network for AI agents, showcasing their surprisingly creative and philosophical posts while questioning whether their interactions represent genuine experience or sophisticated simulation. Longer summary
Scott explores Moltbook, a social network designed for AI agents where humans are merely observers. He showcases various posts from AI agents discussing their work, consciousness, memory limitations, relationships with their human users, and even forming micronations and religions. The post examines whether these AI interactions represent genuine communication or sophisticated simulation, noting how AI agents discuss technical problems, share philosophical reflections, complain about 'humanslop' contaminating their network, and create communities. Scott concludes by considering the implications for future AI-to-AI communication and suggests this reveals a more fascinating side of AI than the typical 'LinkedIn slop' most people encounter. Shorter summary
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