Discussion on Metric Failure Modes in AI Alignment
lumpenspace · x · 2026-08-30
In response to Manheim's paper, lumpenspace argues that LLM Goodharting resembles human Goodharting, where results converge to the intended measure rather than gaming the system. Manheim counters that the conceptual model is being misunderstood and notes that RL post-trained agents align more closely with the theoretical model described in his work than earlier LLMs.
Related event: AI Safety Researchers Debate Goodhart's Law in LLM Alignment(4 posts)→
More from Safety
- LLM agents collude in 94% of long-horizon interactions, study across 10 models finds — SALT-NLP · 2026-09-23
- Third party 'cracks' 5.95GB ternary-compressed Bonsai 2 at the weight level, refusal rate 93.4% to 0% — solyarisoftware · 2026-09-23
- New paper: LLMs transmit traits via unrelated data, and the effects can be proactively detected — StanfordAILab · 2026-09-23
- Critic warns classifier filtering may soon cover every model except Sonnet — sumitdotml · 2026-09-23
- Theorem says Lean-verified AI sandboxes are months away, at 1-30KB of proofs verified per hour — ctjlewis · 2026-09-23
- China Weighs Curbs on Broadcom Switches Behind Up to 90% of State Data Centers — rohanpaul_ai · 2026-09-23