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Musk’s Lawyers Seek to Block OpenAI Access to Meta’s Bid Documents in Legal Battle

Elon Musk’s legal team has filed a motion asking a U.S. federal judge to prevent OpenAI, the maker of ChatGPT, from accessing documents from Meta Platforms related to Meta’s prior $97.4 billion bid for OpenAI’s assets. The request, revealed in court filings, is part of an ongoing legal battle between Musk and OpenAI, which he co-founded but later left. Musk’s lawyers argue that the documents in question are highly sensitive and could contain confidential business information, including strategic plans and internal evaluations of OpenAI’s value. They claim that releasing them to OpenAI would be prejudicial and potentially harmful to Meta’s interests, especially given the competitive landscape in artificial intelligence. The motion comes amid broader disputes over the governance and direction of OpenAI, with Musk alleging that the company has deviated from its original mission and become overly reliant on corporate funding, particularly from Microsoft. He has also accused OpenAI of misusing his intellectual property and failing to uphold its nonprofit roots. Meta’s $97.4 billion bid, which was ultimately withdrawn, was one of the largest proposed acquisitions in the tech sector and underscored the intense interest in controlling leading AI platforms. The documents now at the center of the legal dispute are believed to include internal assessments, financial models, and communications related to that bid. OpenAI has argued that the documents are relevant to its defense in the lawsuit, particularly in demonstrating how Meta evaluated its interest in acquiring the company and whether any promises or commitments were made. The company maintains that transparency is essential to ensure a fair legal process. The judge overseeing the case has yet to rule on Musk’s request, but the decision could have significant implications for how evidence is handled in high-stakes tech litigation. The outcome may also influence how companies manage sensitive data in the context of corporate takeovers and legal disputes in the AI industry.

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