MIT Tech Review
Week one of the Musk v. Altman trial: What it was like in the room
Elon Musk's lawsuit against OpenAI and Sam Altman moved from public feuding to a federal courtroom in Oakland last week, marking one of the most consequential legal battles in AI history. Musk alleges that his early millions in funding came with an implicit agreement to keep OpenAI a nonprofit, a promise he claims was abandoned as the company pursued a for-profit structure. The trial puts two of Silicon Valley's most influential figures directly at odds over who controls the future direction of artificial intelligence.
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Elon Musk’s only expert witness at the OpenAI trial fears an AGI arms race
Stuart Russell, one of the field's most respected AI researchers and Elon Musk's sole expert witness in his lawsuit against OpenAI, has warned that the race toward artificial general intelligence poses serious systemic risks without stronger government oversight. Russell argues that frontier labs operating without meaningful restraint could trigger a dangerous global arms race dynamic. His testimony adds academic weight to Musk's case while reflecting a broader debate over who controls the most powerful AI systems being built today.
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Elon Musk sent ominous texts to Greg Brockman, Sam Altman after asking for a settlement, OpenAI claims
After OpenAI rejected a settlement offer, Elon Musk warned Greg Brockman and Sam Altman via text that they "will be the most hated men in America." The messages, now surfaced by OpenAI, add a personal and combative dimension to the ongoing legal and public battle between Musk and the company he once co-founded. The revelation suggests the dispute runs far deeper than a policy disagreement — pointing to a bitter personal falling-out at the highest levels of Silicon Valley.
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In Harvard study, AI offered more accurate diagnoses than emergency room doctors
A Harvard study has found that at least one large language model outperformed emergency room physicians in diagnostic accuracy when tested against real clinical cases. The findings add weight to a growing body of research suggesting AI could serve as a powerful decision-support tool in high-stakes medical settings. As hospitals face persistent staffing pressures, the case for integrating AI into frontline care is becoming harder to ignore.
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In Harvard study, AI offered more accurate emergency room diagnoses than two human doctors
A Harvard study found that at least one large language model outperformed human emergency room physicians in diagnostic accuracy when tested against real ER cases. The findings add weight to a growing body of evidence suggesting AI could meaningfully improve clinical decision-making under pressure. For a healthcare system plagued by diagnostic errors, the implications are hard to ignore.
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