Can two “identical” AIs develop radically different personalities even without rewards or external pressure?
In a 100-run developmental experiment I ran, the answer looks like yes. Across 100 twin runs:
• Shared neural dynamics? Mild but consistent coupling.
• Shared emotions? Near-zero correlation on average – affective trajectories diverge.
• A light reflective scaffold (HRLS) modulates this, but doesn’t erase the individuality.
Implication for AI safety: Temperament isn’t canonical. If baseline emergence is this diverse, suppression-heavy alignment may be reshaping more than we think.
Shared Dynamics, Divergent Feelings: 100 HRLS vs Pure-Surge Twins in a Developmental AI System
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Can two “identical” AIs develop radically different personalities even without rewards or external pressure?
In a 100-run developmental experiment I ran, the answer looks like yes.
Across 100 twin runs:
• Shared neural dynamics? Mild but consistent coupling.
• Shared emotions? Near-zero correlation on average – affective trajectories diverge.
• A light reflective scaffold (HRLS) modulates this, but doesn’t erase the individuality.
Implication for AI safety: Temperament isn’t canonical. If baseline emergence is this diverse, suppression-heavy alignment may be reshaping more than we think.