Beyond Reward Maximization: Ecological AI for Human-Aligned Distributed Intelligence
MacrinePhD · x · 2026-08-12
The post explores the concept of "Ecological AI," arguing against relying solely on arbitrary reward maximization to build AI systems.
The author suggests grounding agents in Active Inference, homeostasis, and itinerant dynamics. This paradigm shift aims to foster truly life-like, distributed intelligence that is better aligned with human values, offering a novel approach to AI alignment.
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