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New RSL Spec Wants AI Crawlers to Show a License or Pay
Really Simple Licensing (RSL) offers a scalable, automated system for publishers to set AI content use fees, aiming to secure fair royalties amid ongoing lawsuits and industry funding disparities.
- A coalition of prominent web publishers and tech firms has introduced a new open licensing protocol, managed by the nonprofit RSL Collective, to establish guidelines and pricing models for AI content crawlers.
- This initiative arose from publishers' losses under the old web ad model and the unlicensed use of content by AI models like ChatGPT since November 2022.
- RSL builds on RSS and adds machine-readable licensing terms to robots.txt, letting publishers require authorization or payment for AI use, with enforcement supported by partners like Fastly.
- Reddit CEO Steve Huffman stated that the RSL Standard provides publishers and platforms with a straightforward and flexible method to establish licensing agreements in the context of AI development, and noted that Reddit earns approximately $60 million annually from Google for the use of its training data.
- The RSL Collective aims to negotiate fair compensation on behalf of members but faces uncertainty if AI companies will comply, signaling potential shifts in web content licensing dynamics.
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11 Articles
11 Articles
Reddit, Quora, and Yahoo announce RSL, a new licensing protocol to regulate AI data scraping
Really Simple Licensing, or RSL for short, is a decentralised protocol that allows AI companies like Google, Anthropic and OpenAI to scrape data for AI training without risking lawsuits.
·India
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Reddit, Yahoo, and other publishers roll out licensing protocol, pressuring AI companies to pay for scraped data
Announced earlier today, Really Simple Licensing, or RSL, is an open, decentralized protocol developed by the non-profit RSL Collective. Built on the widely used RSS (Really Simple Syndication) standard, it can handle any digital content – web pages, books, videos, and datasets – across millions of websites. Unlike traditional licensing...Read Entire Article
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Total News Sources11
Leaning Left2Leaning Right0Center4Last UpdatedBias Distribution67% Center
Bias Distribution
- 67% of the sources are Center
67% Center
L 33%
C 67%
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