#0843
Why AI Keeps Getting Things Wrong
40radar
LLM output is generated, not computed. Treating accuracy as 100% breaks tests, UX, and cost control; useful as a PM risk model.
- Unlike deterministic software, the same
LLMinput can yield unstable outputs, so QA needs probability ranges, not pass/fail assumptions. - Failures arrive as plausible answers, not obvious crashes. Add citations, confidence cues, review paths, and rollback rules before launch.
- A 100% accuracy KPI is the wrong contract. Measure acceptable error bands, harm severity, and recovery cost instead.
Source: yozm.wishket.com/magazine/detail/3775Read original →