Meta's Llama AI Model: Profits, Partnerships, and Piracy Allegations

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Meta Platforms Inc. faces scrutiny over revenue-sharing agreements for its Llama AI models and allegations of using pirated e-books for training, contradicting previous statements about its business model.

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Meta's Llama AI Model: Unexpected Profits and Ethical Concerns

Meta Platforms Inc., the tech giant behind Facebook, has found itself embroiled in controversy following revelations about its Llama AI models. Court filings from an ongoing copyright lawsuit, Kadrey v. Meta, have exposed that the company is profiting from its AI models through revenue-sharing agreements with host businesses, contradicting previous public statements 1.

Revenue-Sharing Agreements Unveiled

The unredacted court filing reveals that Meta earns a share of the revenue from businesses hosting its Llama AI models. While the specific hosts paying Meta remain undisclosed, the company has previously listed partners including Amazon's AWS, Nvidia, Databricks, Groq, Dell, Microsoft's Azure, Google Cloud, and Snowflake 1.

This revelation stands in stark contrast to Meta CEO Mark Zuckerberg's July 2024 blog post, where he stated that "selling access" to Meta's openly available Llama AI models "isn't [Meta's] business model" 2. However, during an earnings call in April 2024, Zuckerberg had hinted at the possibility of monetizing Llama models, suggesting that companies reselling these services should share a portion of their revenue with Meta 1.

Allegations of Copyright Infringement

The lawsuit at the center of these revelations alleges that Meta trained its Llama models using pirated e-books. More alarmingly, the court documents suggest that Meta's engineers were aware of the legal risks associated with using pirated data through peer-to-peer sharing but proceeded anyway, apparently with the approval of Meta's in-house counsel 2.

Ethical Concerns and Data Acquisition Methods

The court filings describe messages exchanged between Meta engineers discussing the legitimacy of 'seeding' (uploading) certain files, acknowledging potential legal consequences. One example cited involves the company's struggle to directly download from the shadow library LibGen, ultimately deciding to torrent the entire SciMag section containing approximately 81 million scientific articles 2.

Implications for AI Development and Regulation

These revelations raise significant questions about the ethical responsibilities of AI companies and the need for stricter regulation in AI model training and development. The case highlights the tension between rapid technological advancement and adherence to legal and ethical standards in data acquisition and usage 2.

Meta's AI Ambitions and Future Plans

Despite the ongoing legal battles, Meta continues to advance its AI investments. The company recently celebrated Llama reaching 1 billion downloads, with Zuckerberg framing each download as a "vote of confidence in open source AI" 1. Meta is also planning to launch a trial paid subscription service for Meta AI, offering users access to advanced versions of its technology 1.

As the story unfolds, the tech industry and regulators will be closely watching the outcome of this case and its potential impact on the future of AI development and monetization strategies.

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