Mind · Strategy
ThinSlice
High-confidence classification from minimal data
Definition
Mechanism
Sampling a tiny fraction of data (e.g., first 512 bytes) to make a high-confidence classification. Used for triage and routing where full processing is too expensive. Utilizes Route, ExtendedThinking, SomaticMarker.
Invariants
- Fail-Safe: If classification low confidence, forward to full processor
- Sample Limit: Input size <= Slice Size
- Representative Sample: The slice must statistically resemble the whole for the target feature
Risks
Failure modes
None stated.
Relationships
Builds on
References
Scale inference compute via extended reasoning
Infrastructure
Classify input and direct to specialized handler
Society
System health acting as an inhibitory emotion
Nothing in this library builds on this pattern yet.
Reference