NVIDIA CEO: AGI is here, but what does it mean?

Artificial General Intelligence (AGI) is currently AI's most discussed buzzword, with leading companies investing heavily. The claim of imminent human-level machine intelligence depends heavily on its definition, a flexibility that is being heavily utilized.

NVIDIA CEO Jensen Huang recently suggested AGI has already arrived. This claim, however, is based on a narrow interpretation of AGI, where it only needs to briefly achieve a billion-dollar valuation, not sustain a business. Huang contrasted this with the institutional intelligence required to build a company like NVIDIA, stating the odds of AI agents achieving this are zero percent.

Huang's earlier definition of AGI involved software capable of passing tests approximating human intelligence within five years. He also cited the dot-com era, where many viral websites had limited sophistication, as a precedent for what AI agents could achieve today. This vision, however, falls short of the transformative AGI shaping public conversations.

True AGI, as defined by some, would require AI to start, grow, and run a billion-dollar technology company. Huang's current assertion implies that AI doesn't need to manage people, navigate corporate structures, or sustain a business long-term. This limited scope means the profound economic and societal shifts associated with AGI are still a distant prospect.