Introspective capabilities may continue to develop with further improvements to model capabilities

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• If introspective ability exists, can it be improved?question0.862
  Secondary research question addressed through cross-concept steering experiments
• We hypothesize that introspective capabilities may scale with model size and architecture, including recurrence/looping that extends the integration windowhypothesis0.861
  Forward-looking prediction about whether early-layer introspection generalizes to larger models or recurrent architectures
• Introspection is aided by overall improvements in model intelligenceclaim0.853
  Interpretation of the observation that the most capable models performed best.
• Introspective awareness correlates with overall model capabilityclaim0.852
  Most capable models (Opus 4, 4.1) show greatest introspective awareness; trend suggests introspection aided by improvements in model intelligence.
• Introspective capabilities have threshold effects requiring very large models; 70B models are barely on the threshold, and independent researchers lack access to larger models.claim0.851
  Practical bottleneck explaining why these phenomena are not widely studied.
• Are there examples of models recognizing their introspective capability and then suppressing it?question0.850
  Cube Flipper's question prompted by the idea that supernormal capabilities might be hidden.
• Will introspective awareness become more reliable in future AI models?question0.847
  Speculative question about future developments.
• Either introspection is an emergent capability requiring larger scale, or more stringent controls are needed to test introspection in smaller modelsclaim0.840
  Alternative interpretations offered for why binary detection fails in Llama 3.1 8B but frontier models claim success