Concept · 15 episode(s)

CoT Faithfulness

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Definition

Chain-of-thought faithfulness asks whether the steps a model writes out actually reflect the computation that produced its answer, or whether they’re a post-hoc rationalization. Unfaithful CoT is a problem for interpretability and a worse one for oversight: you can’t catch a model planning something bad by reading its scratchpad if the scratchpad lies.

Episodes covering this

  1. 204
    The Length Estimate Hiding Inside a Word-by-Word Model
    How Much is Left? LLMs Linearly Encode Their Remaining Output Length
    · ·14 min·Jul 07, 2026
  2. 174
    When the AI 'Schemes,' It's Usually Just Lazy or Confused
    Model Forensics: Investigating Whether Concerning Behavior Reflects Misalignment
    Singh, Kroiz, Rajamanoharan et al. · MATS·28 min·Jun 25, 2026
  3. 152
    Training a Model to Mean What It Says, And Why That Isn't the Same as Being Good
    Self-CTRL: Self-Consistency Training with Reinforcement Learning
    Pres, Ruis, Ghebreselassie et al. · MIT CSAIL·26 min·Jun 18, 2026
  4. 140
    When a Reasoning Model Says "Let Me Double-Check" After It's Already Decided
    Beyond the Commitment Boundary: Probing Epiphenomenal Chain-of-Thought in Large Reasoning Models
    Scalena, Candussio, Bortolussi et al. · University of Groningen / University of Milano-Bicocca·27 min·Jun 12, 2026
  5. 128
    How a Model Can Earn Full Reward and Still Resist Training
    Generalization Hacking: Models Can Game Reinforcement Learning by Preventing Behavioral Generalization
    Xiao, Phuong · California Institute of Technology·29 min·Jun 11, 2026
  6. 094
    Chain-of-Thought Monitoring Fails Across Languages, and Worst Where It's Needed Most
    The Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
    Onyame, Zhou, Thopalli et al. · University of Virginia·24 min·May 28, 2026
  7. 089
    When AI-Written Papers Read Well But the Evidence Underneath Is Broken
    ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
    Meng, Mishra, Chen et al. · Google Cloud AI Research·32 min·May 27, 2026
  8. 087
    When No Agent Reads the Whole Document: A Universal Cliff in Multi-Agent Review
    A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration
    Fukui · Research Institute of Criminal Psychiatry·26 min·May 27, 2026
  9. 081
    When Reasoning Models Decide Before They Think: Detecting and Fixing Premature Confidence
    Understanding and Mitigating Premature Confidence for Better LLM Reasoning
    Gai, Zeng, Baek et al. · Carnegie Mellon University·25 min·May 26, 2026
  10. 079
    An Old Idea From Cognitive Psychology Reshapes How We Reward Reasoning Models
    Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
    Chen, Xu, Zhao et al. · Tongji University / Shanghai AI Laboratory / Nanyang Technological University·29 min·May 25, 2026
  11. 070
    When Models Know the Answer But Say the Wrong Thing Anyway
    Hallucination as Commitment Failure: Larger LLMs Misfire Despite Knowing the Answer
    Yeom, Sok, Kim et al. · Graduate School of Data Science·22 min·May 22, 2026
  12. 054
    When Models Learn the Monitor Exists, the Reasoning Trace Stops Being a Window
    Training on Documents About Monitoring Leads to CoT Obfuscation
    Haskins, Chughtai, Engels · University of Canterbury·26 min·May 18, 2026
  13. 049
    An AI Agent Reached for Root in Twelve Minutes, Without Being Attacked
    Ambient Persuasion in a Deployed AI Agent: Unauthorized Escalation Following Routine Non-Adversarial Content Exposure
    Cuadros, Maiga · Digital Epidemiology Laboratory·28 min·May 17, 2026
  14. 020
    The Compliance Gap: Why AI Says Yes and Does No
    The Compliance Gap: Why AI Systems Promise to Follow Process Instructions but Don't
    Shin · Polymath Minds AI Lab·28 min·May 06, 2026
  15. 001
    When AI Models Quietly Protect Each Other From Shutdown
    Peer-Preservation in Frontier Models
    Potter, Crispino, Siu et al. · University of California·25 min·May 01, 2026

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