3.1 Revisiting General Relativity Solutions
Einstein's General Relativity equations allow the mathematical existence of Closed Timelike Curves (CTCs), where a path through spacetime could theoretically return to its starting point in time. Historically, these solutions were dismissed due to instabilities and potential paradoxes.
Ace Aznur's work revisited these solutions with a new perspective: stability can be enforced using controlled negative energy fields and quantum corrections, preventing the collapse of the temporal loop.
3.2 Stabilizing Micro-Loops
The first step was the creation of micro-scale loops within a laboratory setting. Using Casimir-based exotic matter arrays and precision quantum entanglement monitoring, Ace demonstrated that micro-loops could exist stably for picoseconds without violating causality.
3.3 The Spacetime Metric Modulator (SMM)
The Spacetime Metric Modulator is the engine of temporal displacement. It consists of:
1. Toroidal Negative Energy Rings — to bend spacetime geometry
2. Quantum Field Stabilizers — to maintain loop coherence
3. Chronal Boundary Layers — to isolate the loop from external temporal disturbances
The SMM allowed precise control of CTCs, creating a Causality-Preserving Temporal Loop (CPTL).
3.4 AI as Navigator
While the SMM provides the physical engine, AI functions as the navigator, calculating non-linear spacetime equations in real-time to predict the outcomes of temporal displacement. This separation of engine and navigator was critical to ensuring safety and avoiding paradoxes.
3.5 Diary Excerpts
2038-05-17: First stable micro-loop observed; duration 37 picoseconds. AI navigation confirms no causality violation.
2039-11-04: Expanded loop to 1 nanosecond; measurements perfectly aligned with predictions.
2040-02-22: First multi-loop simulation completed; loops interact without creating logical contradictions.
3.6 Implications for Macroscopic Time Travel
The successful stabilization of CTCs at micro-scale opens the pathway to larger temporal loops. Chapter 3 establishes that time travel is feasible in principle, provided loops are stabilized and carefully monitored with AI-guided prediction systems.