Nervous Machine Information

Learning protocol for self-improvement and persistence in physical systems and AI agents. https://nervousmachine.com contact us for more info: heidi@nervousmachine.com "Map of Usable Space" @https://space-atlas.nervousmachine.com https://doi.org/10.5281/zenodo.20563491 Substack: nervousmachine.substack.com Research Paper: https://www.techrxiv.org/users/975562/articles/1343063-the-pure-error-signal-dissipative-causal-learning-for-intrinsically-safe-autonomy Case Studies: MSL-2024 · Mars surface radiation 43,044 measurements, 9 learning cycles, 3 refused hypotheses, and a persistent dose deficit registered as a dated gap. Continued hypothesis cycles against independent archives found two uncatalogued solar-wind arrivals at Mars, verified in MAVEN's plasma and magnetometer archives under detection criteria fixed before the data landed, the two instruments agreeing within an hour. Now registered for the field to confirm or refute. Read the article → https://nervousmachine.substack.com/p/the-error-that-survived-nine-learning Full findings → https://doi.org/10.5281/zenodo.20563381 SWARM-2024 · Three satellites, one superstorm, one spoofed node Real ESA and NASA data through the G5 Gannon superstorm. Zero false flags through a 600 nT storm, a spoofed signal thirteen times smaller caught in 0.8 hours, and a peer force-fed a groomed lie shed 93% of it, because certainty never transfers between platforms. It is re-earned against local reality. Read the article → https://nervousmachine.substack.com/p/stress-testing-sensor-trust-through HERON-156 · Quantum processor telemetry A 106-day audit of a 156-qubit Heron processor: seventeen shared-resource clusters discovered from telemetry alone, with no coupling-map input and no vendor hints. Fifteen were confirmed across multiple coordinated-motion events. This is the cross-component structure that per-component monitors are blind to by construction. Full findings → https://doi.org/10.5281/zenodo.20575885