April 17, 2024

Nvidia CEO Jensen Huang says AI could pass most human tests in 5 years


Nvidia CEO Jensen Huang stated Friday that artificial general intelligence (AGI) could, by some definitions, arrive in as little as 5 years.

Huang, who leads the world’s main maker of artificial intelligence chips used to create programs like OpenAI’s ChatGPT, appeared at an financial discussion board held at Stanford University the place he was requested about how lengthy it might take to attain AGI with computer systems able to considering like people.

He responded that the reply largely depends upon how the purpose of AGI is outlined. If the definition is the flexibility to pass human tests, Huang stated that AGI will arrive quickly.

“If I gave an AI… every single test that you can possibly imagine, you make that list of tests and put it in front of the computer science industry, and I’m guessing in five years time, we’ll do well on every single one,” Huang stated.

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(*5*)Nvidia CEO Jensen Huang

Jensen Huang, President of NVIDIA holding the Grace hopper superchip CPU used for generative AI at supermicro keynote presentation in the course of the COMPUTEX 2023. The COMPUTEX 2023 runs from 30 May to 02 June 2023 and gathers over 1,000 exhibitors from 26 (Photo by Walid Berrazeg/SOPA Images/LightRocket by way of Getty Images / Getty Images)

Currently, AI can pass tests like authorized bar exams however has struggled on specialised medical tests like gastroenterology.

Based on different definitions of AGI, Huang stated it might be a lot farther away as a result of there may be nonetheless disagreement amongst scientists about the way to describe how human minds work.

“Therefore, it’s hard to achieve as an engineer” as a result of engineers want outlined objectives, Huang stated.

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Jensen Huang Nvidia Taipei Computex

Nvidia co-founder and CEO Jensen Huang says the timing of AGI depends upon the way it’s outlined. (Photographer: I-Hwa Cheng/Bloomberg by way of Getty Images / Getty Images)

The Nvidia CEO additionally addressed a query about what number of extra chip factories, referred to as “fabs” in the business, are wanted to support the enlargement of the AI business. 

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Media studies have indicated that OpenAI CEO Sam Altman thinks many extra fabs will likely be wanted, and he has pursued funding for an AI chip enterprise.

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Nvidia Logo Chip

Nvidia’s position because the main designer of AI chips has pushed huge development in its inventory worth. ((Photo by Jakub Porzycki/NurPhoto by way of Getty Images) / Getty Images)

Huang stated that extra fabs will likely be wanted however famous that every chip may also get higher over time, which limits the variety of chips required by prospects.

“We’re going to need more fabs. However, remember that we’re also improving the algorithms and the processing of (AI) tremendously over time,” Huang stated. “It’s not as if the efficiency of computing is what it is today, and therefore the demand is this much. I’m improving computing by a million times over 10 years.”

Nvidia not too long ago surpassed the edge of $2 trillion in market capitalization, surpassing Google father or mother firm Alphabet’s $1.71 trillion and Amazon’s $1.85 trillion to turn into the third-largest U.S. firm by market cap – trailing solely Microsoft and Apple.

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Nvidia’s inventory is up 70.8% thus far in 2024. The AI chip large’s share worth has risen by 244% over the previous 12 months and a pair of,084% in the previous 5 years.

Reuters contributed to this report.



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