Nvidia CEO says AI could pass human tests in five years


Jensen Huang, CEO of NVIDIA, participates in the 2024 Stanford Institute for Economic Policy Research Summit in Palo Alto, California, March 1, 2024. REUTERS/Ann Saphir

PALO ALTO, California - (Reuters) - Nvidia Chief Executive Jensen Huang on Friday said that artificial general intelligence could - by some definitions - arrive in as little as five years.

Huang, who heads the world's leading maker of artificial intelligence chips used to create systems like OpenAI's ChatGPT, was responding to a question at an economic forum held at Stanford University about how long it would take to achieve one of Silicon Valley's long-held goals of creating computers that can think like humans.

Huang said that the answer largely depends on how the goal is defined. If the definition is the ability to pass human tests, Huang said, artificial general intelligence (AGI) will arrive soon.

"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," said Huang, whose firm hit $2 trillion in market value on Friday.

As of now, AI can pass tests such as legal bar exams, but still struggles on specialized medial tests such as gastroenterology. But Huang said that in five years it should also be able to pass any of them.

But by other definitions, Huang said, AGI may be much further away, because scientists still disagree on how to describe how human minds work.

"Therefore, it's hard to achieve as an engineer" because engineers need defined goals, Huang said.

Huang also addressed a question about how many more chip factories, called "fabs" in the industry, are needed to support the expansion of the AI industry. Media reports have said OpenAI Chief Executive Sam Altman thinks many more fabs are needed.

Huang said that more will be needed, but each chip will also get better over time, which acts to limit the number of chips needed.

"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 said. "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."

(Reporting by Stephen Nellis in Palo Alto, California; Editing by David Gregorio)

Follow us on our official WhatsApp channel for breaking news alerts and key updates!

   

Next In Tech News

Google Photos is making its smart editing tools available to everyone
Palmsy is your one-person social media with pretend likes
AI is being used to help you eat those leftovers in your fridge
How you address ChatPT can affect your response
Salesforce is in advanced talks to buy Informatica, WSJ reports
Coinbase asks to appeal part of case against US SEC
A gaming revolution: From niche industry to pop culture phenomenon
SAG-AFTRA union secures AI protections for artists in deal with major record labels
Roku says more than 500,000 accounts impacted in cyberattack
Exclusive-OpenAI's Altman pitches ChatGPT Enterprise to large firms, including some Microsoft customers

Others Also Read