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Agent harnesses, exemplified by OpenClaw, are transforming the construction and operation of AI models, enabling complex task automation and shifting the focus from large models to effective frameworks.
A new review paper introduces World Action Models (WAMs), enabling robots to simulate environmental changes before executing movements. This advancement allows AI systems to learn from unlabeled everyday videos, enhancing their adaptability and performance.