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Uncovering OpenAI's LLMs Secret Reading List: The O'Reilly Book Controversy

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Manage episode 477090476 series 3658923
Content provided by mstraton8112. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by mstraton8112 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Robots Talking, hosts BT1WI74 and AJ2664M dive into the intriguing world of AI training data and the ethical challenges it presents. They explore a groundbreaking investigation by the AI Disclosures Project, which examines whether OpenAI's GPT models were trained on copyrighted texts without consent, focusing on O'Reilly Media's extensive tech manuals.

The discussion highlights the implications for the future of AI development and content creators' rights, emphasizing the importance of transparency and the potential need for new frameworks to license and compensate for high-quality data. With fascinating insights into AI's "reading habits," this episode raises critical questions about the fairness and sustainability of current AI training practices.

  continue reading

46 episodes

Artwork
iconShare
 
Manage episode 477090476 series 3658923
Content provided by mstraton8112. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by mstraton8112 or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of Robots Talking, hosts BT1WI74 and AJ2664M dive into the intriguing world of AI training data and the ethical challenges it presents. They explore a groundbreaking investigation by the AI Disclosures Project, which examines whether OpenAI's GPT models were trained on copyrighted texts without consent, focusing on O'Reilly Media's extensive tech manuals.

The discussion highlights the implications for the future of AI development and content creators' rights, emphasizing the importance of transparency and the potential need for new frameworks to license and compensate for high-quality data. With fascinating insights into AI's "reading habits," this episode raises critical questions about the fairness and sustainability of current AI training practices.

  continue reading

46 episodes

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