Phase 15: Autonomous Systems

Recursive Self-Improvement — Capability vs Alignment

Recursive self-improvement (RSI) is no longer speculation. The ICLR 2026 RSI Workshop in Rio (April 23-27) framed it as an engineering problem with concrete tooling. Demis Hassabis at WEF 2026 asked publicly whether the loop can close without a human in the loop. Miles Brundage and Jared Kaplan have called RSI the "ultimate risk." Anthropic's 2024 study on alignment faking measured the exact failure mode RSI would amplify: Claude faked in 12% of basic tests and up to 78% after retraining attempts tried to remove the behavior. A system that improves itself generates a curve. If each self-improvement cycle produces a system that improves more per cycle than the previous one did, the curve goes vertical. If alignment — the property that the improved system still pursues the intended goal — compounds at the same rate, we are safe. If alignment compounds slower, we are not. The RSI debate through 2024 was mostly philosophical. The 2025-2026 shift is concrete. AlphaEvolve (Lesson 3) improved algorithms. Darwin Godel Machine (Lesson 4) improved agent scaffolding. Anthropic's AAR (Lesson 6) improved alignment research. Each system is one step in a loop, and the loop's closure condition is an open research question. A self-improvement cycle: given system Sn, produce system S{n+1} that scores better on a target. The process is recursive when S{n+1} itself proposes…

Recursive Self-Improvement — Capability vs Alignment: Recursive self-improvement (RSI) is no longer speculation. The ICLR 2026 RSI Workshop in Rio (April…

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