Debate Heats Up Over Recursive Self-Improvement and Superalignment Feasibility

Kelsey Tuoc and Rohit Krishnan debated recursive self-improvement risks: Tuoc warned a misaligned model supervising its successors could drift from human intent unnoticed, while Krishnan argued recursive supervision isn't done in isolation and humans can intervene to correct course.

2026-10-13 ~ 2026-10-13 · 3 related posts

• Kelsey Tuoc pushes back on recursive oversight worries: fix training when models misbehave — KelseyTuoc · 2026-10-10
• Counterpoint: successor training isn't isolated — humans or other systems can intervene — krishnanrohit · 2026-10-10
• AI safety debate: what if oversight stagnates while models hugely improve — KelseyTuoc · 2026-10-13