Are there examples of models recognizing their introspective capability and then suppressing it?

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• Introspective capabilities may continue to develop with further improvements to model capabilitiesclaim0.850
  Forward-looking statement about future models.
• This introspective capacity is highly unreliable and context-dependent in today's modelsclaim0.829
  A caveat qualifying the main claim.
• Introspective capabilities have threshold effects requiring very large models; 70B models are barely on the threshold, and independent researchers lack access to larger models.claim0.828
  Practical bottleneck explaining why these phenomena are not widely studied.
• We hypothesize that introspective capabilities may scale with model size and architecture, including recurrence/looping that extends the integration windowhypothesis0.824
  Forward-looking prediction about whether early-layer introspection generalizes to larger models or recurrent architectures
• Introspective awareness correlates with overall model capabilityclaim0.822
  Most capable models (Opus 4, 4.1) show greatest introspective awareness; trend suggests introspection aided by improvements in model intelligence.
• What are the mechanisms underlying introspection in language models?question0.811
  Central open question raised by the paper.
• model size threshold for introspectionconcept0.809
  Introspective capabilities appear only in very large models (>70B), with 70B barely on the threshold; bottleneck for independent research.
• Will introspective awareness become more reliable in future AI models?question0.807
  Speculative question about future developments.