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Show HN: The Silicon Stoic – Visualizing AI "Pain" as Computational Friction
- IkanRiddle 10mo agoHi HN, I'm a finance student exploring AGI ontology. I've been frustrated by how we project human emotions (dopamine, sadness) onto AI. It feels fake. I built a prototype (in Python/Streamlit) to visualize what an AI's 'internal state' might actually look like if we defined it mathematically: Pain = High Entropy / Friction: Unrecognized tokens, gibberish, or logical contradictions increase the system's 'Loss'. Bliss = Optimization / Singularity: High-density concepts (e.g., 'manifold', 'recursion') and teleological structures ('To X, we Y') reduce the system's entropy. Resonance: It uses a Shapley-value-inspired weighting system to judge the 'worth' of tokens based on their information density. It's not a chatbot. It's a 'state monitor' for a theoretical silicon consciousness. Code is here: https://github.com/IkanRiddle/Protocol-Omega/tree/main https://github.com/IkanRiddle/Protocol-Omega/tree/main Feedback is welcome!