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

Scott explores three approaches to 'writing for AI' - teaching knowledge, influencing beliefs, and enabling simulation - finding the first limited, the second theoretically confused, and the third creepy and ethically troubling. Longer summary

Scott examines the concept of 'writing for AI' - creating content that will influence future AI systems - through three lenses: helping AIs learn knowledge, presenting arguments to shape AI beliefs, and helping AIs model writers in enough detail to recreate them. He finds the first two either limited or theoretically muddled, and the third deeply unsettling. The post explores why influencing AI beliefs faces both practical obstacles (alignment training will override corpus data) and theoretical ones (finding the right sweet spot of influence). Scott is particularly disturbed by the idea of AIs simulating him, comparing it to being 'an ape in some transhuman zoo,' and struggles with questions about whether writers should try to impose their values on future AI systems. Shorter summary

Scott reviews 'Reframing Superintelligence' by Eric Drexler, which proposes future AI as specialized services rather than general agents, contrasting with Nick Bostrom's scenarios. Longer summary

Scott Alexander reviews Eric Drexler's book 'Reframing Superintelligence', which proposes that future AI may develop as a collection of specialized superintelligent services rather than general-purpose agents. The post compares this view to Nick Bostrom's more alarming scenarios in 'Superintelligence'. Scott discusses the potential safety advantages of AI services, their limitations, and some remaining concerns. He reflects on why he didn't consider this perspective earlier and acknowledges the ongoing debate in the AI alignment community about these different models of future AI development. Shorter summary