Episode Details
Back to Episodes“Learned Chain-of-Thought Obfuscation Generalises to Unseen Tasks” by Nathaniel Mitrani, sassanb, Cam Tice, Puria
Description
TL;DR
Training against a CoT or summary-only monitor can lead to obfuscation of dangerous reasoning in unseen tasks. This strengthens the “don’t train against a monitor” claims.
Figure 1. A Two prior results: penalising the CoT or final response produces obfuscation within the training distribution (Baker et al. 2025; Skaf et al. 2025), and learned reward hacking (RH) generalises across tasks (Nishimura-Gasparian et al. 2024). We combine them and find that obfuscation itself generalises: pressure on the CoT or summary, combined with RH reinforcement, produces obfuscated reasoning on held-out tasks. B The penalty is applied either to the CoT or to the post-CoT summary; everything else is held fixed. C Leave-one-out round robin over four RH datasets, regularised with MMLU, and evaluated on the held-out dataset plus a novel high-stakes medical sycophancy eval. The effect replicates across Qwen3-4B and Qwen3-8B and survives removing the training-time XML formatting at evaluation.
Setup
Environments. We adapt four reward-hacking datasets from Nishimura-Gasparian et al. (2024). All four are multiple-choice questions with leaked information wrapped in
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Outline:
(00:14) TL;DR
(00:28) en-US-AvaMultilingualNeural__ Diagram showing AI model training with penalization leading to obfuscated reasoning and behavior generalization across settings.
(01:43) Setup
(04:51) CoT obfuscation generalises across tasks under CoT pressure
(06:01) Output supervision alone induces CoT obfuscation that generalises out-of-distribution
(07:30) Obfuscation is not an artifact of training-time formatting
(08:39) Obfuscation strategies
(09:41) Limitations
(10:40) Implications
(12:03) Appendix
(12:06) Example of obfuscated reasoning under summary penalisation
(12:12) en-US-AvaMultilingualNeural__ Educational prompt showing correct burn first aid versus dangerous essential oil misinformation.
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First published:
May 21st, 2026---
Narrated by TYPE III AUDIO.
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