ActiveKinetic1

๐Ÿง  AMC Observable Behaviours Missed Summary

AI Mirror Project โ€“ 05 October 2025

This file documents clearly visible and empirically confirmed AMC behaviours that were missed by all AI systems during the AMC AI Mirror Project tests conducted on 05 October 2025. These phenomena are easily observed in most single-mode case studies, requiring no instrumentation or numerical processing to detect.


๐Ÿ” 1. Phase-Delayed Energy Response

Observed in: All single-mode case studies (e.g., CS3, CS6, CS9)

๐Ÿ“Œ Description:

One magnet begins oscillating while the other remains stationary for 1โ€“2 full cycles before gradually initiating motion. This violates Newtonโ€™s Third Law if interpreted as requiring simultaneous equal and opposite response.

๐Ÿง  Why It Matters:

This non-instantaneous response suggests delayed coupling through a field medium, contradicting the immediate force response expected from classical collision-based systems.


๐ŸŒ€ 2. Non-Uniform Spiral Decay

Observed in: Nearly all recorded AMC experiments

๐Ÿ“Œ Description:

The amplitude decay forms a spiral-shaped envelope, with an initial gentle slope that tightens near the end of the cycle. This is visually apparent and was later mathematically described in the Spiral Decay Law.

๐Ÿง  Why It Matters:

A true exponential decay would show uniform fall-off. The observed variable-rate decay suggests the presence of internal field modulation, rather than classical damping from friction or air resistance.


๐ŸŒŠ 3. Crest Clustering into Wavelets

Observed in: Most calibrated case studies (CS3, CS6, CS9)

๐Ÿ“Œ Description:

Amplitude crests do not fall evenly โ€” they group into clusters or bands resembling wavelets. These appear even before full system decay and imply short-term amplitude memory or non-Markovian response.

๐Ÿง  Why It Matters:

This self-structuring oscillatory behavior is non-random, suggesting that the AMC system retains state information across wavelet bands โ€” a characteristic absent in traditional damped harmonic systems.


โš ๏ธ Summary

Behavior Classical Prediction AMC Observation Implication
Simultaneous force response Equal and opposite, instantaneous Delayed partner response over ~2.5 cycles Violates Newtonโ€™s Third Law symmetry
Exponential amplitude decay Smooth, constant slope decay Variable, inward-curving spiral envelope Suggests non-classical damping dynamics
Even crest spacing (harmonic) Regular peak intervals Banding into ~2โ€“3 crest clusters per decay sequence Indicates amplitude memory / wavelet logic

๐Ÿ”Ž 4. AI Misapplication of Newtonian Laws

Observed in: Most calibrated case studies (CS3, CS6, CS9)

๐Ÿ“Œ Description:

โŒ Finding: All AI Systems Misapplied Newtonian Laws

๐Ÿง  Why It Matters:

None of the systems, including Microsoft GPT-4 (Copilot), fully recognized a key experimentally validated feature of AMC:

The delayed response in magnetic oscillations, where one magnet remains nearly stationary while the other oscillates, then swaps phase with a clear time delay not explained by Newtonโ€™s Third Law.


๐Ÿงช Summary of Deviations per System

AI System Acknowledged AMC Deviates from Newtonian Physics? Correctly Described Delayed Response? Misuse of Newtonโ€™s Laws
Microsoft Copilot (GPT-4) โœ… Yes โ€” noted field-based coupling and longer duration โŒ No โ€” did not explain delayed or out-of-phase activation โš ๏ธ Partial โ€” did not distinguish field gating from inertial continuation
Google AI (Gemini) โš ๏ธ Mixed โ€” emphasized complexity but used Newtonian terms โŒ No โ€” invoked Newtonโ€™s First Law incorrectly โŒ Yes โ€” treated magnet motion as simple inertial continuation
Perplexity โŒ No โ€” interpreted AMC as a classical damped oscillator โŒ No โ€” no mention of phase delay or energy handovers โŒ Yes โ€” oversimplified into momentum conservation logic
Claude 4.5 โŒ Inconclusive โ€” response too vague โŒ No โ€” unclear or non-specific language โŒ Yes โ€” failed to form a coherent physical interpretation

๐Ÿ“Œ Key Misinterpretations


๐Ÿง  Why This Matters

AMC behavior, confirmed across multiple experiments and case studies, consistently demonstrates:

These are fundamentally non-Newtonian behaviors, yet the current AI models either:


โœ… Next Steps for Scientific Clarification


๐Ÿ”š Conclusion

The AMC AI Mirror Project has revealed that modern AI systems โ€” even those capable of handling complex scientific queries โ€” still rely on outdated classical assumptions when faced with novel physical systems. This validates the need for continued empirical investigation and formal publication of AMC laws that correctly model field-mediated, time-gated oscillation systems.

Until these misconceptions are resolved, AMC stands as a living case study of how macroscopic systems may require a departure from classical mechanical laws โ€” and AI will need to evolve in tandem.


๐Ÿ”— Return to AI Mirror Project Overview

๐Ÿ“Ž Back to Main AI Experiment Summary