Takes on Automating Alignment
Argues that alignment research should be converted into hill-climbable tasks that AI models can automate, and discusses reward hacking risks and mitigations such as held-out validation sets and honeypots.
AI research and discussion on LessWrong. www.lesswrong.com
Argues that alignment research should be converted into hill-climbable tasks that AI models can automate, and discusses reward hacking risks and mitigations such as held-out validation sets and honeypots.
Sketches a realistic target future where superintelligent AI stays under permanent human control through dynamic alignment targets, structured multi-source feedback, and institutional norms, without claiming a technical solution.
Argues that AI can safely automate alignment research if agents are trained for truth-seeking, with humans nudging rather than grading ground truth, provided agents stay non-egregiously misaligned.