Did OpenAI Just Quietly Build AGI?

Did OpenAI Just Quietly Build AGI?

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On March 24, 2026, OpenAI CEO Sam Altman addressed the entire company in an internal all-hands meeting with three significant announcements: he is stepping back from directly overseeing AI safety to focus on fundraising and building data centers at unprecedented scale; the company’s next model — internally codenamed ‘Spud’ — has completed pre-training, with Altman telling employees a ‘very strong model’ would launch within weeks; and OpenAI’s product organization has been renamed to ‘AGI Deployment.’ That final change, from a generic product label to an explicit AGI deployment framing, is the detail that has generated the most discussion.

TheAIGRID places these internal moves alongside a cluster of public statements from major industry figures. Nvidia CEO Jensen Huang declared on the Lex Fridman podcast that AGI has already been achieved, defining it as an AI capable of generating a billion dollars in economic value — a financial definition, not a cognitive one. The physicist credited with coining the term ‘AGI’ in a 1997 nanotechnology paper echoed a similar view, as did Google DeepMind’s chief AGI scientist Shane Legg, who had predicted human-level AGI around 2025 in a 2009 blog post.

The video critically examines the varying and often self-serving definitions of AGI being deployed by each speaker. It notes that Jensen Huang’s company is valued at roughly $4 trillion and projected at least $1 trillion in chip sales from Blackwell and Vera Rubin through 2027 — a significant financial incentive to declare AGI achieved and sustain demand for AI infrastructure.


📺 Source: TheAIGRID · Published March 29, 2026
🏷️ Format: News Analysis

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