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NO.
#e501157c
Topic
OTHER
Source
yozm_it
Published
2026-05-29 06:12:21
Importance
★ 4/10 — radar 40
Why AI Keeps Getting Things Wrong
FIG-0501:1

Why AI Keeps Getting Things Wrong

LLM output is generated, not computed. Treating accuracy as 100% breaks tests, UX, and cost control; useful as a PM risk model.

[ KEY POINTS ]
  1. Unlike deterministic software, the same LLM input can yield unstable outputs, so QA needs probability ranges, not pass/fail assumptions.
  2. Failures arrive as plausible answers, not obvious crashes. Add citations, confidence cues, review paths, and rollback rules before launch.
  3. A 100% accuracy KPI is the wrong contract. Measure acceptable error bands, harm severity, and recovery cost instead.
Originalyozm.wishket.com/magazine/detail/3775Read original →

// related