Training a 4B model to produce 81% faster query plans than Postgres

Written and edited by the WorldPing NewsdeskPublished Updated Original reporting: Hacker News

What happened

Article URL: https://rohanbansal.com/qorl Comments URL: https://news.ycombinator.com/item?id=49731285 Points: 235 # Comments: 38…

Key facts

  • Article URL: https://rohanbansal.com/qorl Comments URL: https://news.ycombinator.com/item?id=49731285 Points: 235 # Comments: 38…
  • Reported by Hacker News and published Wed, 16 Sep 2026 18:50:00 UTC.

Why it matters

Platform, chip and AI decisions set the terms other companies have to build on, so a single announcement here tends to ripple through products, supply chains and regulation.

What to watch next

  • Availability, pricing and rollout regions
  • Independent testing or verification of the claims made
  • Responses from regulators and competing platforms

Coverage timeline

When each newsroom published on this story, oldest first — all times UTC.

  1. Training Text-to-Image Models 3.6× Faster

  2. Reverse-engineered Jev-like model

  3. Training a 4B model to produce 81% faster query plans than Postgres

  4. Accurate Models of AMD Matrix Cores

  5. How good are frontier models at physics?

  6. ‘Hope’ Director, Star Weigh In on Sequel Plans

  7. Xiaomi Mimo 2.6 live post-training dashboard

Sources

The original report was published by Hacker News. WorldPing does not claim that reporting — this page summarises and contextualises it.

Read the full report at Hacker News

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