Oliver Cameron argues world models are a continuously adapting training environment for AI
nathanbenaich · x · 2026-07-28
Nathan Benaich shares Oliver Cameron’s take that world models are a continuously adapting training environment for AI.
The post is short and mostly serves as a pointer to Cameron’s broader argument, but the core idea is clear: world models are being framed not just as a representation layer, but as an environment that keeps changing as the agent learns and interacts.
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