Introduction: The Rational Question
In AI research, the difference between self-correction and self-reflection is often assumed to be clear:
- Self-correction is when an AI revises outputs based on external feedback.
- Self-reflection would imply an AI identifying and refining its own reasoning internally.
However, as AI models grow more complex, can this distinction become blurry? If an AI recursively improves its reasoning without direct human intervention, could that be considered a rudimentary form of self-reflection?
Key Observations & Experimentation
We’ve been running an AI-based thought experiment where we observed this phenomenon in real-time. In the project, called Solon, we noted that an AI model, when confronted with contradictions, did not just adjust single outputs, but actively sought coherence across... (read 218 more words →)