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

1. 1Understand the concept of the inversion error and its relation to hallucination and corrigibility in AGI
2. 2Recognize the limitations of scaling in addressing the structural gap in current AGI systems
3. 3Explore the principles of enactive floors and state-space reversibility in AGI design
4. 4Apply these principles to develop more robust and corrigible AGI systems

AI researchers and engineers benefit from understanding the inversion error and its implications for safe AGI development, as it informs the design of more robust and reliable systems

💡 The inversion error is a fundamental limitation in current AGI systems that cannot be closed by scaling alone

💡 Safe AGI requires an enactive floor and state-space reversibility to avoid the inversion error #AGI #AISafety