# Slow AI: A Quantum Resonance & Spacetime Curvature Simulation 🌌
[](https://crates.io/crates/fa_slow_ai)
[](https://docs.rs/fa_slow_ai)
[](https://opensource.org/licenses/MIT)
[](https://github.com/Neil-Crago/fractal_algebra/actions/workflows/rust2.yml)
[](https://www.rust-lang.org/)
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This project is a computational exploration of a novel philosophical framework: the idea that **quantum mechanics is the semantic residue of a dimensional transition**. It simulates a "toy universe" where quantum-like effects (entanglement, resonance) and general relativistic effects (spacetime curvature) are not just parallel systems, but are part of a single, co-evolving feedback loop.
The simulation evolves an AI from a simple probabilistic guesser into a sophisticated signal processor, which then becomes a participant in a universe where its actions can warp the very fabric of the space it inhabits.
***
## Core Concepts
The project is built on a narrative of evolution, both for the AI and the simulation's physics.
1. **From Guesser to Analyst:** The AI begins as a "Slow AI," a probabilistic explorer that relies on thousands of random guesses to find a resonant frequency. It then evolves into a "Deterministic Analyst," using waveform analysis to deduce the system's underlying rules from a small data sample.
2. **Signal in the Noise:** The analyst is upgraded to a "Virtual Signal Processor." Using a Fast Fourier Transform (FFT), it learns to deconstruct a complex, noisy signal into its constituent pure waves, isolating the primary signal from interference. This models the search for coherence in a chaotic environment.
3. **The QM ↔ GR Feedback Loop:** The final stage implements a feedback loop inspired by John Wheeler's summary of general relativity: "Spacetime tells matter how to move; matter tells spacetime how to curve."
* **Quantum Mechanics (QM):** Multiple wave sources create interference patterns, representing "matter" or "energy" hotspots on a graph.
* **General Relativity (GR):** These energy hotspots then "curve spacetime" by dynamically modifying the graph's connections, creating new shortcuts.
* This new structure then affects how future waves propagate, completing the loop.
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## The Five Phases of the Simulation
The application runs a comprehensive test suite that demonstrates the entire evolutionary journey in five distinct parts:
* **Part 1: The "Slow AI"**
A simple, brute-force search for a resonant frequency, demonstrating the initial inefficient approach.
* **Part 2: The Waveform Analyst**
A deterministic analysis of a clean signal. The AI takes a small sample and derives the wave's equation to predict the peak.
* **Part 3: The Signal Processor**
The AI is presented with a noisy, multi-frequency signal. It uses an FFT to decompose the signal and correctly identify the primary frequency from the interference.
* **Part 4: The Interference Engine**
A test of the precision targeting system. Two in-phase wave sources are created on a line graph, and the simulation correctly shows a "hotspot" of constructive interference at the equidistant center point.
* **Part 5: The Feedback Loop**
The grand finale. The interference hotspot generated in the previous step is used to actively "curve" the graph, creating new connections and demonstrating the full QM ↔ GR feedback loop.
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## Getting Started
### Prerequisites
* [Rust](https://www.rust-lang.org/tools/install) (latest stable version recommended)
* Git
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## Understanding the Output
The program will print the results of each of the five phases to the console.
* You will see the initial random search, followed by the successful prediction from the simple analyst.
* Next, the FFT report will show the successful decomposition of the noisy signal.
* Finally, you will see the "before" and "after" state of the graph, showing a hotspot being created at the center and then the graph's connections being physically altered by that hotspot's energy.
This project serves as a conceptual pathfinder, using a "rough model" to explore profound ideas about the nature of physics, memory, and information. Enjoy the simulation!
## Related Crates
This crate is part of a collection of crates by the same author:
These include:-
* MOMA
* MOMA_simulation_engine
* tma_engine
* factorial_engine
* fractal_algebra