Sam Altman what you once said is OpenAI’s ‘biggest goal’ is here as per Nvidia CEO Jensen Huang

Sam Altman what you once said is OpenAI's 'biggest goal' is here as per Nvidia CEO Jensen Huang

Nvidia CEO Jensen Huang has now claimed that AGI has arrived. According to a report by Verge, speaking on a recent podcast episode by Lex Fridman, Nvidia CEO Jensen Huang declared, “I think we’ve achieved AGI.” AGI to aritificial general intelligence, refers to the AI systems that match or surpass human intelligence. It is a milestone long described by OpenAI CEO Sam Altman as the company’s “biggest goal”.Fridman defined AGI as an AI system which is capable of “essentially doing your job,” such as starting, growing, and running a billion‑dollar tech company. When asked if AGI was five, 10 or 20 Yeats away Huang mentioned “I think it’s now.” His statement immediately sparked excitement and debate across the tech community.

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Explaining his point of view, Huang cited the viral success of OpenClaw, an open-source AI agent platform, as evidence of AGI’s arrival. He also noted that people are already using AI agents for diverse tasks, from creating digital influencers to managing social applications. However, he tempered his claim by acknowledging limitations, “The odds of 100,000 of those agents building Nvidia is zero percent.”Whether AGI has truly been achieved remains hotly debated. Huang’s comments highlight both the rapid progress in generative AI and the uncertainty around defining intelligence itself. For Altman and OpenAI, the claim underscores how close the industry may be to realizing what was once considered a distant ambition.

Nvidia CEO Jensen Huang has a message for the company’s engineers

A recent online report revealed that Huang has told engineers at Nvidia that who do not make extensive use of AI tools are not productive. Huang said he would be concerned if a highly paid engineer was not using a significant amount of tokens to complete their work. He said, “Let me give you a thought experiment. Let’s say you have a software engineer or AI researcher, and you pay them $500,000 a year. At the end of the year, I’m going to ask him how much did you spend in tokens. And [if] that person said $5,000, I will go ape something else. If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed.”He compared avoiding AI tools to rejecting standard industry software, saying it would be like a chip designer choosing paper and pencil over modern computer-aided design tools.

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