Jensen Huang says Nvidia achieved AGI, again — not that it matters

During Nvidia's earnings call, CEO Jensen Huang stated that the company had achieved artificial general intelligence (AGI) for many tasks, but almost immediately dismissed the milestone as "senseless." He argued that what truly matters is whether AI is "doing productive and useful work" and "generating profitable tokens," emphasizing that more compute leads to more tokens and profit. This is not the first time Huang has made such a claim; he made a similar statement in March on the Lex Fridman podcast, though he later conceded that the odds of 100,000 AI agents building Nvidia were "zero percent." The article highlights the broader industry confusion around AGI, noting that there is no consensus on what the term means or how to measure it. OpenAI's charter defines AGI as systems that outperform humans at most economically valuable work, while its financial agreement with Microsoft reportedly uses a profit threshold of $100 billion. Other tech leaders have created their own terminology, with Anthropic's Dario Amodei calling AGI a "marketing term" and preferring "powerful AI," while Google DeepMind's Demis Hassabis references the "foothills of the singularity." The piece concludes that as long as AGI remains poorly defined, claims of achieving it will continue to serve more as hype than meaningful progress.

(Source：The Verge)