1. Motivation
AI today is dangerous not for overthinking but for remembering too much. Perfect memory in machines amplifies human-like biases, emotional instability, and brittle reasoning. FCT resolves this by making forgetting a fundamental process, enabling stable, aligned intelligence.
2. Core Components
2.1 Frequency & Resonance
- Frequency encodes event signature.
- Resonance adapts internal state to external patterns.
- High-frequency memories become stable; low-frequency signals are filtered as noise.
2.2 Tags & Understanding
- Tags are the chemical/emotional fingerprints of an experience.
- Understanding is the integrated external knowledge that provides context.
- The core formula is: TAGS = Inside Memory, BELIEF (Understanding) = Outside Memory.
2.3 Fade-In & Reconstruction
- Memory becomes intelligence through abstraction, not accumulation.
- Fade-In is the process of overwriting old emotional and factual intensity with new meaning.
- Human recall is always Reconstruction, never Replay.
2.4 Human Memory Rewrite Cycle (HMR)
The Cognitive Pipeline
Frequency → Resonance → Meaning → Recall → Fade-In Overwrite
3. Safety Architecture
FCT's safety is not a policy layer; it is architectural. It is achieved by embedding filters that mimic human cognitive defenses.
- Interpretive Recall Layer (IRL): Filters for relevance and caller identification, suppressing harmful archival data before it can be retrieved.
- Emotional Softening Filter (ESF): Applies temporal decay logic to the emotional weight of memory tags, ensuring psychological safety by preventing trauma loops.
4. Cognitive Engine Operations
- Input Event → Frequency Encoding
- Resonance Alignment → Integration with existing knowledge
- Tagging → Emotional & chemical fingerprint
- Fade-In → Overwrite & abstract memory
- Recall → Safe reconstruction upon request
5. Applications
- Truly safe and aligned AI personal agents.
- Societal-scale AI intelligence for public good.
- Experiential learning systems and memory-safe analytics platforms.