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continuation-interest

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christopher-altman / persistence-signal-detector

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A multi-criterion diagnostic framework for detecting latent continuation-interest signatures in autonomous agents using density-matrix entanglement entropy.

benchmarking reproducible-research representation-learning trajectory-analysis mutual-information autonomous-agents ai-safety interpretability latent-representations behavioral-analysis objective-detection quantum-inspired quantum-boltzmann-machine persistence-detection entanglement-entropy self-preservation agent-evaluation alignment-research continuation-interest artificial-agency
  • Updated Apr 1, 2026
  • Python

christopher-altman / christopher-altman.github.io

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Frontier AI research through rigorous systems-level experimentation — applying physics-inspired experimental methods and information-theoretic tools to measure scaling, robustness, and alignment properties of frontier AI systems.

ai artificial-intelligence alignment artificial-neural-networks superposition quantum-teleportation quantum-entanglement quantum-machine-learning quantum-dynamics quantum-technology adaptive-quantum-networks space-telemetry-anomaly-detection continuation-interest local-functional-recoverability macroscopic-quantum-coherence superposed-quantum-topologies
  • Updated Mar 24, 2026
  • JavaScript

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