Message:
Hi, I’ve been exploring a concept for generating unique AI individuality using a controlled balance of randomness and computational efficiency. The idea involves sourcing entropy from pseudo-random pixel data taken from real-world camera feeds — introducing environmental variability without high compute cost. By tuning the ratio of power to randomness, the system could create distinct yet stable AI “personalities.” I believe this approach could inspire research into bounded chaos and identity formation in AI systems. I’d appreciate if someone from the research or experimental division could take a look or point me to a channel for deeper discussion.
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