SGM: A Statistical Godel Machine for Risk-Controlled Recursive Self-Modification
Proposes a statistical framework for recursive self-improvement with explicit risk controls, potentially advancing safe AI self-modification research.
Proposes a statistical framework for recursive self-improvement with explicit risk controls, potentially advancing safe AI self-modification research.
Auto-scored: A research paper proposing a risk-controlled approach to recursive self-modification, offering a partial mitigation step.