fix: update all Stage 2 references to Stage 3 CANONICAL type counts

Comprehensive update of type count references from Stage 2 (31 nouns + 40 verbs)
to Stage 3 CANONICAL (42 nouns + 127 verbs) across entire codebase.

Changes (23 files):
- Core architecture: Memory tracking comments, speedup calculations
- Tests: Type count assertions, enum index expectations, memory benchmarks
- CLI: User-visible type count output
- Augmentations: Type detection comments
- Documentation: Architecture docs, guides, performance docs
- Type embeddings: Regenerated for all 169 types (338KB)

Specific updates:
- 31 → 42 (noun count): 38 occurrences
- 40 → 127 (verb count): 24 occurrences
- 124 → 168 bytes (noun array size): 5 occurrences
- 160 → 508 bytes (verb array size): 5 occurrences
- 284 → 676 bytes (total type tracking): 12 occurrences
- Enum indices updated to match Stage 3 reordering

Type embeddings regenerated:
- 42 noun embeddings (64.5 KB)
- 127 verb embeddings (194.8 KB)
- Total: 338 KB (was 108.8 KB)

All constants, arrays, and tests now consistent with Stage 3 taxonomy.

Fixes #v5.5.1-type-count-migration

docs/guides/import-anything.md

@@ -185,7 +185,7 @@ Brainy automatically detects what TYPE of data you're importing:
 { latitude: 37.7, longitude: -122.4, city: 'SF' }
 ```
 
-**31 noun types** and **40 verb types** cover EVERYTHING!
+**42 noun types and 127 verb types** cover EVERYTHING!
 
 ## Relationship Detection
 
@@ -382,7 +382,7 @@ await brain.find('posts by users following Alice with >10 comments')
 
 **Zero Configuration**: Works perfectly out of the box
 **Maximum Intelligence**: AI understands your data's meaning
-**Universal Protocol**: 31 nouns × 40 verbs = ANY data model
+**Universal Protocol**: 42 nouns × 127 verbs = ANY data model
 **Delightful DX**: Simple, clean, modern API
 
 ## The ONE Method Philosophy