semantic-contradiction-reuses-cluster-infrastructure
IN premise
Semantic contradiction detection delegates embedding and clustering to the existing `list_clusters()` from `reasons_lib/cluster.py` — the same infrastructure that serves deduplication also serves contradiction detection, with no duplicate embedding/clustering implementation.
Summary
The system's contradiction detection doesn't build its own separate machinery for understanding how beliefs relate to each other. Instead, it piggybacks on the same embedding and clustering code that already exists for finding duplicate beliefs, meaning there's a single shared implementation for grouping related beliefs rather than two parallel ones that could drift apart.
Details
| Source | entries/2026/05/10/semantic-contradiction-detection.md |