Media industry executives want to avoid the mistakes of the early internet era, when many offered articles online for free that ultimately undermined their business models. Big Tech groups such as Google and Facebook then accessed that information to help build multibillion-dollar online advertising businesses.
Some discussions currently involve trying to find a pricing model for news content used as training data for AI models. One number that had been discussed by publishers is US$5 million to Us$20 million a year, according to an industry executive.Article content Google has been leading the negotiations with U.K. news outlets, meeting the Guardian and NewsUK. The Alphabet-owned company has long-running partnerships with many media organizations to use data from content such as articles to ensure it is optimized to appear in its search engine. The company has used the data to train its large language models, according to two people familiar with the arrangement.
The Silicon Valley giant added another option it was considering was how to give publishers more “choice and control” over whether their content became part of a training data set for AI, similar to how it allows websites to opt out of their content being used in search. “There was no discussion, and so now we have to try to get paid after it happened,” the executive said. “The way they launched these products, the total secrecy, the fact that there is zero transparency, no communication before it happened, there’s reasons to be pretty pessimistic.”
The technology companies building AI are keen to focus on its utility in driving efficiencies within newsrooms and enhancing journalism and are happy to pay millions to preserve longstanding relationships with the industry, people involved in the talks said.
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