{
  "id": 3172766,
  "title": "The Same Bug, Four Times, Three of Them Mine",
  "url": "https://urgent.news/2026/08/25/the-same-bug-four-times-three-of-them-mine",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T02:20:15.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/bedvibe_studios/the-same-bug-four-times-three-of-them-mine-4b78"
  },
  "original_language": "en",
  "account": "The issue of validation tooling failing to accurately assess certain conditions was discovered multiple times, ultimately leading to the creation of a library to address the problem. The first instance occurred when a run was executed that learned nothing, but was reported as healthy due to the tool's inability to properly handle division by zero. The second instance involved a similar scenario, where a training run with a loss of exactly 0.0 on every step was also reported as healthy. The third instance was discovered in infrastructure compliance, where a framework document described things that could not be verified by a machine, leading to a situation where unevaluated items appeared identical to those that had passed. The fourth instance was found while the reporter was pleased with themselves, where three instances were detected while evaluating a retrieval experiment. This led to the conclusion that the current validation tooling states were insufficient, and a new taxonomy was needed to accurately reflect the different conditions.",
  "summary": "Originally published at ai.bedvibe.studio . Most validation tooling has two states: it passed, or it failed. Everything that was not actually evaluated has to be forced into one of them — and it is wrong in both directions. I did not work that out from first principles. I worked it out by shipping the same defect four times. One: a run that learned nothing, reported as healthy In trainproof , a…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}