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Jensen Huang: I think we've achieved AGI. It's certainly difficult to define it precisely due to the lack of a uniform standard. But it seems that 2026 will be the turning point.

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Nvidia CEO Jensen Huang says: "I think we've achieved AGI” for example, it is not out of the question that a claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents
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Nvidia CEO Jensen Huang says: "I think we've achieved AGI” for example, it is not out of the question that a claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents

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🚨 BREAKING: On Lex Fridman's podcast Jensen Huang declared the exact moment when we achieved AGI. You can stop guessing when AGI gets here. CEO of Nvidia Jensen Huang gave Lex Fridman a four-word answer. "I think it's now," "I think we've achieved AGI. We've achieved AGI when an AI can build a billion-dollar app then immediately die." "You said a billion, and you didn't say forever." "It is not out of the question that a Claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents, and then it went out of business again shortly after." "We saw a whole bunch of those type of companies during the internet era, and most of those websites were not anything more sophisticated than what OpenClaw could generate today." "It's happening right now," Huang says. "When you go to China you're gonna see a whole bunch of people teaching their Claws to go out and look for jobs and do work, make money." The AGI you've been waiting for is already getting hired. It's just not hiring you. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast
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🚨 BREAKING: On Lex Fridman's podcast Jensen Huang declared the exact moment when we achieved AGI. You can stop guessing when AGI gets here. CEO of Nvidia Jensen Huang gave Lex Fridman a four-word answer. "I think it's now," "I think we've achieved AGI. We've achieved AGI when an AI can build a billion-dollar app then immediately die." "You said a billion, and you didn't say forever." "It is not out of the question that a Claw was able to create a web service, some interesting little app that all of a sudden, a few billion people used for 50 cents, and then it went out of business again shortly after." "We saw a whole bunch of those type of companies during the internet era, and most of those websites were not anything more sophisticated than what OpenClaw could generate today." "It's happening right now," Huang says. "When you go to China you're gonna see a whole bunch of people teaching their Claws to go out and look for jobs and do work, make money." The AGI you've been waiting for is already getting hired. It's just not hiring you. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

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Nvidia CEO: AIs are recursively self-improving. We are "obviously" less than 5 years from AGI. INTERVIEWER: People talk about AGI. Do you think in 10 years from now we're there? JENSEN HUANG: Depending on how you define it, I think the answer is yes. And so the question is, what is AGI? If we define AGI as a piece of software, a computer that can take a whole bunch of tests. And these tests reflect basic intelligence, and by completing those tests, deliver results that are fairly competitive to a normal human? I would say that within the next five years, you're going to see, obviously, AIs that can achieve those tests. AIs are designing AIs: INTERVIEWER: And design the chips that you're making right now? JENSEN HUANG: Yeah. INTERVIEWER: Will you need to have the same staff that designs them? JENSEN HUANG: In fact, none of our chips are possible today without AI. Literally. The H100s we're shipping today was designed with the assistance of a whole lot of AIs. Otherwise, we wouldn't be able to cram so many transistors on a chip or optimize the algorithms to the level that we have. Software can't be written without AI, chips can't be designed without AI. Nothing's possible.
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Nvidia CEO: AIs are recursively self-improving. We are "obviously" less than 5 years from AGI. INTERVIEWER: People talk about AGI. Do you think in 10 years from now we're there? JENSEN HUANG: Depending on how you define it, I think the answer is yes. And so the question is, what is AGI? If we define AGI as a piece of software, a computer that can take a whole bunch of tests. And these tests reflect basic intelligence, and by completing those tests, deliver results that are fairly competitive to a normal human? I would say that within the next five years, you're going to see, obviously, AIs that can achieve those tests. AIs are designing AIs: INTERVIEWER: And design the chips that you're making right now? JENSEN HUANG: Yeah. INTERVIEWER: Will you need to have the same staff that designs them? JENSEN HUANG: In fact, none of our chips are possible today without AI. Literally. The H100s we're shipping today was designed with the assistance of a whole lot of AIs. Otherwise, we wouldn't be able to cram so many transistors on a chip or optimize the algorithms to the level that we have. Software can't be written without AI, chips can't be designed without AI. Nothing's possible.

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Jensen Huang: "Don't be afraid of AI, engage it. The idea that it's gonna wipe out a whole bunch of jobs. Of course, the industry will change. The industry changed from the time that I went into it. Of course it's gonna change. The world's gonna change."
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