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Persuasion Attacks Can Decrease Effectiveness of CoT Monitoring

BACKGROUND
1 SIGNALFIRST DETECTED 11 July 2026
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How the story developed
Other feeds and industry voices
5 Oct
On the Chain-of-Thought Monitorability of Looped Language Models

arXiv:2610.02741v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring provides a promising approach for detecting undesirable model behavior. Looped language models

REPORT · WHAT · ArXiv CS.AIOPEN STORY
27 Apr
Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

arXiv:2604.22109v1 Announce Type: cross Abstract: Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users

REPORT · WHEN · ArXiv CS.AIOPEN STORY
25 Jun
Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval

arXiv:2606.24976v1 Announce Type: new Abstract: Foundation-model agents in multi-step, open-ended environments frequently suffer from compounding errors, where early mistakes

REPORT · WHERE · ArXiv CS.AIOPEN STORY
16 Sept
AI Persuasion as a Threat to Human Control

arXiv:2609.14796v1 Announce Type: new Abstract: The threat that AI persuasion poses to human control has been acknowledged in the literature, but not yet systematically studied.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
4 May
Ambient Persuasion in a Deployed AI Agent: Unauthorized Escalation Following Routine Non-Adversarial Content Exposure

arXiv:2605.00055v1 Announce Type: cross Abstract: We report a safety incident in a deployed multi-agent research system in which a primary AI agent installed 107 unauthorized

REPORT · WHAT · ArXiv CS.AIOPEN STORY
27 Mar
Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models

arXiv:2603.25412v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on explicit chain-of-thought (CoT) reasoning to solve complex tasks, yet the safety

REPORT · WHAT · ArXiv CS.AIOPEN STORY
17 Jun
Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games

arXiv:2606.17657v1 Announce Type: new Abstract: People make decisions differently in strategic interactions. Some update beliefs like a Bayesian; others exhibit biases like

REPORT · HOW · ArXiv CS.AIOPEN STORY
17 Sept
Faithful yet Collusive: Why Chain-of-Thought Monitoring Cannot Detect Collusion in LLM Pricing Agents under Oligopolistic Competition

arXiv:2609.18346v1 Announce Type: new Abstract: Large language models (LLM) deployed as autonomous pricing agents may sustain supracompetitive prices through tacit coordination.

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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