storage lookups got up to 1.9x faster on tpuf v3 using cascading binary search
v3 keys rows on 3 columns (a, b, c). lookups inefficiently compared all 3 during each search step
now we cascade: search a, then b, then c, narrowing the search range as we go
Attention is a lookup. Each token builds a query, compares it against every key in the sequence, and pulls value vectors weighted by the match. Stack that 96 layers deep and you get a frontier model.
Video covers the full pipeline: Q/K/V, attention scores, encoder blocks.
ditched hosted cloud vector APIs for local SQLite with sqlite-vec.
lookups dropped to 4ms with zero remote network calls and no monthly cloud bill. There are no connection timeouts or silent context drops.
[New] Preprocessed Private Function Evaluation: Achieving Sublinear Online Complexity for Lookup Tables (Tanping Zhou and Xiaoyi Wang and Yi Qu and Wenchao Liu and Long Chen and Zhenfeng Zhang)
🚀 Just shipped: a New World Screwworm tracker.
🔎 Beef-sourcing lookup (70+ chains & grocers)
🗺️ Live map of confirmed detections
📋 Cases, zones & official USDA links
Facts, not fear.
The Vercel CDN makes over 80 million routing decisions per second.
We cut P99 metadata lookup latency by 91%, helping requests reach your pages faster and speeding up deployments along the way ↓