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OpenAI urges California, Delaware to investigate Musk's 'anti-competitive behavior’
OpenAI says Musk’s lawsuit could cripple its nonprofit foundation and asked California and Delaware officials to review alleged anti-competitive conduct.
- On Monday, OpenAI urged California Attorney General Rob Bonta and Delaware Attorney General Kathy Jennings to investigate Elon Musk for "improper and anti-competitive behavior" ahead of an upcoming trial.
- Musk, who co-founded OpenAI in 2015 before departing in 2018, sued the organization in 2024, alleging he was "assiduously manipulated" and "deceived" after the company explored converting to a for-profit entity.
- Alleging Musk is "coordinating his efforts" with Meta CEO Mark Zuckerberg, OpenAI strategy chief Jason Kwon wrote that these "attacks" threaten the nonprofit's mission to ensure AGI benefits humanity.
- Seeking damages exceeding $100 billion, the lawsuit threatens to cripple OpenAI, which also highlighted that Musk's xAI platform faces scrutiny for allegedly generating sexually explicit deepfakes ahead of an upcoming IPO.
- As jury selection for the trial begins April 27 in the Northern District, OpenAI Chief Global Affairs Officer Chris Lehane questioned why "two of the top four wealthiest people" are attempting to stop the nonprofit.
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16 Articles
16 Articles
OpenAI Calls for Investigation Into Musk by California, Delaware
OpenAI urged the attorneys general of California and Delaware to investigate potential “improper and anti-competitive behavior” by Elon Musk in his efforts to block OpenAI from restructuring as a for-profit company.
·United States
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OpenAI urges California, Delaware to investigate Musk's 'anti-competitive behavior’
OpenAI urged the California and Delaware attorneys general to consider investigating Elon Musk and his associates' "improper and anti-competitive behavior", ahead of a trial between the two sides set to begin this month.
·United Kingdom
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Coverage Details
Total News Sources16
Leaning Left3Leaning Right1Center5Last UpdatedBias Distribution56% Center
Bias Distribution
- 56% of the sources are Center
56% Center
L 33%
C 56%
11%
Factuality
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