AI Memory Verdict · OEM lens · 2026-W19
AI vantage missing — cannot classify; needs cohort substrate expansion
INSUFFICIENT_DATAINSUFFICIENT_DATAAI vantage missing
▸ Panel signature · what AI saw, what we compared against
AI: 0 textsOEM: 2DIST: 0AGG: 0SEARCH: 0
1024-dimensional centroid embeddings · all numbers reproducible from methodology
OEM action: panel too thin to classify · cohort substrate must expand.
rs-232-transceivers· level 2· tier C· leaf· 10,000 SKUs measured· 23 observations · 2 vantagesavailable
Brands AI associates with RS-232 Transceivers
No brand-attribution coverage in 2026-W19. Either the panel is below the meaningful-presence threshold or no brand has slug_closest_frame resolved here.
What you unlock
RS-232 Transceivers — paid-tier surface
◧22 brands competing here
Per-brand convergence scores, vantage coverage, full sourcing-card drill-down per brand.
◤Live week-over-week trajectory
Fragmentation direction, channel-pull attribution, drift narratives.
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Sign inPublic preview · counts only · no brand names, scores, or specific facility data shown
New surface · paid tier
See RS-232 Transceivers as a physics field.
Each of the 22 brands competing here becomes a particle, pulled toward the vantages that observed it. The shape of the cloud is the shape of fragmentation.
substrate · 21 weeks · 26.4M AI observations · 35,746 brands · 2025-W51 → 2026-W20
this page · 2026-W19 · numbers reproducible from our weekly substrate (methodology)
per-(brand × vantage × form) aggregation, top-form share within (brand × vantage) cells; divergence classified at category level using a 1024-dimensional embedding centroid.