arXiv AI By Eric Xing, Mingkai Deng, Jinyu Hou

Critique of Agent Model

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arXiv:2606. 23991v1 Announce Type: new Abstract: What is an agent?

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The paper reviews how large language models have evolved into agents that can influence external environments through tool use, interface operation, delegation, state retention, virtual world inhabitation, and robotic control. It critiques the narrative of a single march toward autonomy, distinguishing model competence from system integration, persistence, and safe authority. The authors find that action-interface expansion is well documented, while robust completion, recovery, authorization, and independent verification remain less proven, and they propose a framework of justified delegation to guide future research.

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Critique of World Model

arXiv:2507. 05169v5 Announce Type: replace-cross Abstract: World Model, the algorithmic simulator of the real-world environment which biological agents experience and act upon, has been an emerging topic in recent years due to the rising need to develop virtual agents with artificial (general) intelligence.

By Eric Xing, Mingkai Deng, Jinyu Hou