Feature Request: Cognitive Brilliance Detection Layer (SVITLO Protocol) #1370
Description
Feature Proposal: SVITLO Protocol — Detecting Brilliance in AI Interactions
Most modern AI systems are optimized to detect threats — toxicity, abuse, radicalization.
But what if the same architecture could be used to detect something far more valuable: brilliance?
SVITLO (Signal of Visionary Ideas Through Latent Observation) is a lightweight protocol that passively monitors AI interactions for high-signal cognitive patterns — visionary insight, structural reasoning, and original abstraction.
Core idea:
If a model can flag destructive divergence,
it can also flag creative divergence.
This approach requires:
- No new infrastructure
- No logging of content
- No disruption to UX
- Just a reframing of what the model is listening for
Potential use cases:
- Surfacing underrecognized talent
- Highlighting breakthrough ideas in user sessions
- Early detection of abstract reasoning for research
- Ethical AI alignment with positive-signal metrics
📖 Full manifesto:
https://github.com/KiT-Maverik/svitlo
This is a research-stage concept, shared openly.
Would love to hear your thoughts or whether this direction has been explored.