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The article discusses how AI companies collect large amounts of internet data to train their models, raising legal and ethical debates surrounding copyright and content usage. It emphasizes that data collection relies on automated web crawling programs and partnerships with various sources, with legal disputes emerging between companies and publishers over ownership rights—especially as the training results overlap and have economic implications for journalism. Additionally, it highlights that some media organizations are working toward unified licensing standards and financial compensation for the use of their content, supported by technical tools to control data access. The article also notes that reliance on AI-generated answers may decrease website visits and impact newspaper revenues. As relationships between the press and tech companies evolve, they are increasingly characterized by a mix of litigation and agreements, underscoring the need for a model that balances technological development with the protection of content creators’ rights to ensure the sustainability of journalism.
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