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AI

Jensen Huang Says Nvidia Hit AGI, Then Says the Term Is Meaningless

On Nvidia's earnings call, the CEO claimed AGI for 'many tasks' while calling the whole debate pointless.

During Nvidia's latest earnings call, Jensen Huang was asked about OpenAI's ongoing quest for artificial general intelligence. His answer: Nvidia has essentially already gotten there, at least for many tasks. Then he undercut his own claim, calling the pursuit of an official AGI milestone "senseless."

Huang's point is that AGI has no agreed-upon definition. Different labs and researchers use it to mean everything from "matches human performance on most cognitive tasks" to "can do any economically valuable job" to vaguer notions of general reasoning. Without a shared benchmark, declaring victory is more of a marketing move than a technical one.

This isn't the first time Huang has made this kind of claim, and it likely won't be the last. It fits a pattern of AI executives using AGI as a rhetorical tool rather than a measurable target.

Why it matters: AGI claims from hardware and AI companies function more as investor signaling than technical milestones, especially when made on earnings calls. Reporters and readers should treat these statements skeptically until someone offers a testable, agreed-upon definition of what AGI actually means.

Sources: The Verge