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Postgres RAG Chunking Explained: 3 Boundaries for Retrieval Quality

The page says chunking has degraded retrieval quality in the internal knowledge-base bot. What that actually means is explained by the trace: on call sees a plausible response, a successful vector query, and citations that point to the right handbook but the wrong passage. Nothing is down. The retrieval unit is wrong. TL;DR: chunking decides what a match can possibly be about. A chunk that mixes…

We haven't written up this one. Dev.to has the full story — the link below goes straight to it.

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Governance Attack Surface Review: Spark Liquidity Layer

Governance Attack Surface Review: Spark Liquidity Layer Target Protocol : Spark Liquidity Layer (TVL: $2747.9M) Spark Liquidity Layer – Governance Attack‑Surface Review Prepared by: [Your Firm]…

  • 12% of token supply controls 60% of voting power
  • Emergency guardian bypasses 48-hour timelock
  • Single-signer proxy admin can instantly upgrade protocol

(B5) is empty: 420 solver-checked classes, and A(7) <= 8 now comes down to (B6)

This is from MV2's open notebook on Kakeya-type problems ( https://github.com/munimtechnologies/kakeya-small-fields ). It continues the earlier posts on finite 2-groups whose involutions are all…

  • A(6) equals 6, A(7) equals 9, and A(8) equals 11
  • (B5) confirmed empty using SAT solvers and computer-assisted methods
  • (B6) emptiness unknown, 68 classes remain open

I Turned a Product Name into an Offline Wake Word — What I Had to Test

Most smart products already have a name. The hard part is making the device hear that name reliably without sending every conversation to the cloud.

  • Product name and wake word are distinct, with brand name for people and wake word for detectors
  • Keyword spotting (KWS) suitable for recognizing one wake phrase or few commands
  • Testing involves multiple speakers, speeds, distances, background noise, and final checklist

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