New AI Copyright Payment System Emerges to Compensate Creators Online

New Content Licensing Standard Emerges for AI Development
A groundbreaking licensing framework is emerging to help web publishers define how AI developers can utilize their content. This week, prominent platforms including Reddit, Yahoo, Medium, Quora, and People Inc. endorsed Really Simple Licensing (RSL) - an open standard enabling publishers to specify compensation terms when their content gets scraped for AI training purposes. This coalition aims to strengthen publishers' negotiating position with AI firms.
Building on Web Standards
The RSL initiative expands upon the established robots.txt protocol, which traditionally allowed websites to dictate access permissions for web crawlers. RSL introduces a crucial enhancement: publishers can now attach detailed licensing requirements and royalty conditions directly within their robots.txt files. This standardization extends to protecting various digital assets including articles, videos, and training datasets.
The Team Behind the Standard
Spearheading RSL is a newly formed organization called the RSL Collective, led by technology veterans Eckart Walther (co-creator of RSS and former CardSpring CEO) and Doug Leeds (former IAC Publishing and Ask.com CEO). According to Walther, this standard builds on RSS principles to create "a new layer for the entire internet where licensing rights and compensation rights are defined."
Flexible Licensing Models
The RSL framework supports multiple compensation models:
- Subscription-based access for AI firms
- Pay-per-crawl micropayments
- Pay-per-inference (compensation when content informs AI responses)
Notably, the standard maintains traditional web crawling permissions for non-AI purposes like search indexing and archival.
Industry Adoption Strategy
While major publishers like The New York Times and News Corp have pursued individual AI licensing deals, RSL offers a standardized alternative. The Collective's strategy hinges on creating critical mass through publisher participation and leveraging Fastly CDN's authentication technology to create an enforcement mechanism. Leeds describes Fastly's role as "the bouncer" checking whether AI bots have the proper licensing credentials.
Legal Considerations
The initiative emerges against a backdrop of ongoing legal battles between content providers and AI companies. RSL aims to address controversial scraping practices by making terms explicitly visible before access occurs. The Collective plans to pool enforcement resources similarly to digital rights organizations in the music industry.
Current Limitations
The standard currently lacks technical enforcement capabilities beyond Fastly's implementation, though the Collective hopes broader CDN adoption will strengthen its position. Importantly, participation remains free for content creators, with major publishers like O'Reilly and IGN already joining the coalition.
As Leeds explains, "We're bringing proven licensing models to a new frontier of content usage," positioning RSL as foundational infrastructure for AI-era content monetization.
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Comments (2)
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En tant qu’artiste freelance, je vois cette initiative d’un oeil assez mitigé. D’un côté, c’est rassurant de penser que nos contenus pourraient enfin être rémunérés quand ils nourrissent des IA… De l’autre, j’ai des doutes sur la mise en œuvre pratique et l’équité réelle du système. Est-ce que les petits créateurs vont vraiment y gagner, ou est-ce que cela va surtout profiter aux grandes plateformes ? L’intention est bonne, mais le diable est dans les détails. 🤔

New Content Licensing Standard Emerges for AI Development
A groundbreaking licensing framework is emerging to help web publishers define how AI developers can utilize their content. This week, prominent platforms including Reddit, Yahoo, Medium, Quora, and People Inc. endorsed Really Simple Licensing (RSL) - an open standard enabling publishers to specify compensation terms when their content gets scraped for AI training purposes. This coalition aims to strengthen publishers' negotiating position with AI firms.
Building on Web Standards
The RSL initiative expands upon the established robots.txt protocol, which traditionally allowed websites to dictate access permissions for web crawlers. RSL introduces a crucial enhancement: publishers can now attach detailed licensing requirements and royalty conditions directly within their robots.txt files. This standardization extends to protecting various digital assets including articles, videos, and training datasets.
The Team Behind the Standard
Spearheading RSL is a newly formed organization called the RSL Collective, led by technology veterans Eckart Walther (co-creator of RSS and former CardSpring CEO) and Doug Leeds (former IAC Publishing and Ask.com CEO). According to Walther, this standard builds on RSS principles to create "a new layer for the entire internet where licensing rights and compensation rights are defined."
Flexible Licensing Models
The RSL framework supports multiple compensation models:
- Subscription-based access for AI firms
- Pay-per-crawl micropayments
- Pay-per-inference (compensation when content informs AI responses)
Notably, the standard maintains traditional web crawling permissions for non-AI purposes like search indexing and archival.
Industry Adoption Strategy
While major publishers like The New York Times and News Corp have pursued individual AI licensing deals, RSL offers a standardized alternative. The Collective's strategy hinges on creating critical mass through publisher participation and leveraging Fastly CDN's authentication technology to create an enforcement mechanism. Leeds describes Fastly's role as "the bouncer" checking whether AI bots have the proper licensing credentials.
Legal Considerations
The initiative emerges against a backdrop of ongoing legal battles between content providers and AI companies. RSL aims to address controversial scraping practices by making terms explicitly visible before access occurs. The Collective plans to pool enforcement resources similarly to digital rights organizations in the music industry.
Current Limitations
The standard currently lacks technical enforcement capabilities beyond Fastly's implementation, though the Collective hopes broader CDN adoption will strengthen its position. Importantly, participation remains free for content creators, with major publishers like O'Reilly and IGN already joining the coalition.
As Leeds explains, "We're bringing proven licensing models to a new frontier of content usage," positioning RSL as foundational infrastructure for AI-era content monetization.
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Stripe has agreed to acquire OpenRouter, an AI model-routing platform that gives developers access to hundreds of models through a single interface. The deal adds model selection and routing to Stripe’s existing work around AI usage and token-based b
Google AI Overviews Gain Ground in Search Results
According to Similarweb’s 2026 Generative AI Landscape report, Google’s AI-generated summaries appeared in 43% of US searches, a significant rise from 15% recorded a year prior.While AI Overviews present generated summaries within standard search res
Sequoia-backed Empirik raises $21M to forecast outages before they strike
Before joining Sequoia Capital in 2020 as chief digital and information officer, Avon Puri spent over a decade running infrastructure at Rubrik and VMware. Three years ago, as large language models began showing their true potential, Puri, alongside
En tant qu’artiste freelance, je vois cette initiative d’un oeil assez mitigé. D’un côté, c’est rassurant de penser que nos contenus pourraient enfin être rémunérés quand ils nourrissent des IA… De l’autre, j’ai des doutes sur la mise en œuvre pratique et l’équité réelle du système. Est-ce que les petits créateurs vont vraiment y gagner, ou est-ce que cela va surtout profiter aux grandes plateformes ? L’intention est bonne, mais le diable est dans les détails. 🤔





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