The Inversion Error: Why Safe AGI Requires an Enactive Floor and State-Space Reversibility

This article discusses the concept of the "inversion error" in the context of Artificial General Intelligence (AGI) safety, highlighting the need for an enactive floor and state-space reversibility to address issues such as hallucination and corrigibility. The authors argue that simply scaling up current systems will not be sufficient to close the structural gap, and instead, a fundamental redesign of the system's architecture is required to ensure safe AGI.

⚡ Key Takeaways

• The inversion error refers to the mismatch between the system's internal model and the external environment, leading to hallucinations and other safety issues.
• An enactive floor is necessary to ground the system's understanding in sensorimotor experiences and prevent the inversion error.
• State-space reversibility is required to ensure that the system can recover from errors and maintain a stable and consistent internal state.

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