Why build a simulated SF? To train agents' social intelligence and alignment
davidfromkansas · x · 2026-08-21
The author's motivation for SFSIM: virtual game environments acting as sandboxes for simulating the social intelligence of human-like agents with their own needs and goals. He argues such simulations could be key to scaling AI alignment — training agents to adopt beneficial behaviors while observing how they respond to scenarios hard to replicate physically. The experiment builds on the social simulacra research by @joonspk (of Stanford's Generative Agents), which derived the foundational techniques for generative agents that simulate human behavior.
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