Rogan plans an interview with Mark
Zuckerberg on the following and current topics
- Rogan's podcast could increase brand visibility for Meta by featuring high-profile guests who discuss or are associated with Meta's platforms, thereby indirectly promoting Meta's services.
https://en.wikipedia.org/wiki/Mark_Zuckerberg
- By discussing topics related to technology, privacy, and social media, Rogan might influence public perception of Meta, potentially affecting user trust and engagement with Meta's products.
https://en.wikipedia.org/wiki/Mark_Zuckerberg
- The podcast might serve as a platform for Meta executives or related figures to share insights or defend against criticisms, shaping public discourse around Meta's business practices.
https://en.wikipedia.org/wiki/Mark_Zuckerberg
- Rogan's discussions on health, wellness, and alternative diets could influence Meta's advertising strategies, particularly in targeting health-conscious demographics or promoting related content on Meta's platforms.
https://podcasts.apple.com/us/podcast/the-joe-rogan-experience/id360084272
- Given Rogan's audience demographics, his podcast could provide Meta with valuable data on listener interests, potentially guiding content algorithms or ad placements on Meta's social media sites.
https://podcasts.apple.com/us/podcast/the-joe-rogan-experience/id360084272
- If Rogan discusses or critiques Meta's policies or actions, it could prompt Meta to reconsider or adjust certain strategies to align with public sentiment or to address any criticisms raised on the podcast.
https://en.wikipedia.org/wiki/Mark_Zuckerberg
- The podcast could also inspire Meta to explore podcasting or similar content formats as part of their content strategy, recognizing the engagement potential of long-form conversational content.
https://podcasts.apple.com/us/podcast/the-joe-rogan-experience/id360084272
Sarah Silverman and others file court case claiming CEO approved use of dataset despite warnings
www.theguardian.com
Mark Zuckerberg approved Meta’s use of “pirated” versions of copyright-protected books to train the company’s artificial intelligence models, a group of authors has alleged in a
US court filing.
Citing internal
Meta communications, the filing claims that the social network company’s chief executive backed the use of the LibGen dataset, a vast online archive of books, despite warnings within the company’s AI executive team that it is a dataset “we know to be pirated”.
The internal message says that using a database containing pirated material could weaken the Facebook and Instagram owner’s negotiations with regulators, according to the filing. “Media coverage suggesting we have used a dataset we know to be pirated, such as LibGen, may undermine our negotiating position with regulators.
https://www.theguardian.com/technol...musk-data-ai-training-artificial-intelligence
The US author Ta-Nehisi Coates, the comedian Sarah Silverman and the other authors suing Meta for copyright infringement made the accusations in a filing made public on Wednesday, in a California federal court.
The authors
sued Meta in 2023, arguing that the social media company misused their books to train Llama, the large language model that powers its chatbots.
The Library Genesis, or LibGen, dataset is a “shadow library” that originated in Russia and claims to contain millions of novels, nonfiction books and science magazine articles. Last year a New York federal court ordered LibGen’s anonymous operators to
pay a group of publishers $30m (£24m) in damages for copyright infringement.
Use of copyrighted content in training AI models has become a
legal battleground in the development of generative AI tools such as the ChatGPT chatbot, with creative professionals and publishers warning that using their work without permission is
endangering their livelihoods and business models.
The filing cites a memo, referring to Mark Zuckerberg’s initials, noting that “after escalation to MZ”, Meta’s AI team “has been approved to use LibGen”.
Quoting internal communications, the filing also says Meta engineers discussed accessing and reviewing LibGen data but hesitated on starting that process because “torrenting”, a term for peer-to-peer sharing of files, from “a [Meta-owned] corporate laptop doesn’t feel right”.
A US district judge, Vince Chhabria, last year dismissed claims that text generated by Meta’s AI models infringed the authors’ copyrights and that Meta unlawfully stripped their books’ copyright management information (CMI), which refers to information about the work including the title, name of the author and copyright owner. However, the plaintiffs were given permission to amend their claims.
The writers argued this week that the evidence bolstered their infringement claims and justified reviving their CMI case and adding a new computer fraud allegation.
Chhabria said during a hearing on Thursday that he would allow the writers to file an amended complaint but expressed scepticism about the merits of the fraud and CMI claims.
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