Google and SpaceX are in discussions to deploy data centers in orbit, according to reports, as both companies position themselves at the forefront of a nascent race to move AI computing infrastructure beyond Earth’s atmosphere. The talks coincide with SpaceX’s anticipated $1.75 trillion IPO, in which Elon Musk has promoted orbital data centers as a […]
The trial's revelations could impact investor confidence and reshape perceptions of AI governance, affecting future nonprofit-to-profit transitions.
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Sam Altman took the stand in a federal courtroom and told a story that reads like a Silicon Valley succession drama. During discussions about restructuring OpenAI in 2017, Elon Musk didn’t just want a seat at the table. He wanted to own the table, the chairs, and pass them down to his kids. Altman testified that Musk insisted on “total control” over a proposed for-profit subsidiary of OpenAI, going so far as to suggest that leadership of the entity should transfer to his children after his death. Altman said he found the demand uncomfortable, and more importantly, fundamentally at odds with how OpenAI was designed to operate. The founding principle that started the fight Here’s the thing about OpenAI’s origin story: it was built around the idea that artificial general intelligence, the kind of AI that could match or exceed human-level reasoning,
Altman's testimony highlights the tension between collaborative AI development and individual control, impacting future AI governance debates.
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An article from AI CERTs reporting on the Anthropic-SpaceX capacity arrangement caught my attention because it highlights a possibility the cloud market has been moving toward for years but has never fully embraced. The traditional assumption has always been simple: If you need elastic infrastructure at scale, you go to a hyperscaler such as AWS, Microsoft, or Google. They own the data centers, they understand multitenancy, and they know how to deliver computing as a repeatable service. The article suggests something different may now be emerging. Organizations with excess capacity may be able to act, at least temporarily, like cloud providers.
This is a meaningful shift. If access to compute, power, and networking can be packaged and sold by enterprises, AI infrastructure operators, telecoms, colocation players, and perhaps even large private data center owners, then cloud computing becomes less about who invented the model and more about who has available capacity right now. In other
SpaceXAI, the company formed after SpaceX acquired xAI in February, is facing mounting pressure on two fronts: a significant exodus of AI research talent and a legal challenge over environmental violations at its Mississippi data center. More than 50 researchers and engineers have departed since the merger, according to reports, including key leaders in coding, […]
Bitcoin dipped to $79,200 during the Trump-Xi summit on Taiwan tensions and a scorching inflation print before recovering to reclaim $81,000 as U.S. President Donald Trump wrapped his Beijing visit. A Summit Between the World’s Two Largest Economies Trump arrived in Beijing accompanied by a delegation of U.S. executives, including Tesla’s Elon Musk, Apple’s Tim […]
Google's Googlebook launch with integrated AI and Android signals a transformative shift in personal computing, challenging existing ecosystems.
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