For tech companies, artificial general intelligence (AGI) is the next big aim. While the current AI models are far from reaching AGI levels, the Nvidia CEO has said that some form of this type of AI can be achieved in the next five years.
AGI is a hypothetical type of AI that possesses human-like intelligence and cognitive abilities. It means that AI is able to learn, understand and act on a wide range of situations and problems, similar to how humans do.
Nvidia CEO, Jensen Huang, mentioned during an economic forum at Stanford University that artificial general intelligence (AGI) might become a reality within five years, depending on its definition.
Huang acknowledged that AI has made strides in passing various tests, hinting that within half a decade, it could excel in a broad array of assessments.
“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.
Goals must be defined
Huang, who heads the world’s leading maker of artificial intelligence chips used to create systems, emphasised that AGI’s arrival would be determined by how the goal is delineated. 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 noted that there is a need for more chip factories to support the AI industry’s growth. He noted that additional fabs are needed, underscoring the ongoing improvement in chip efficiency over time, which could mitigate the necessity for a vast number of chips.
AGI is a hypothetical type of AI that possesses human-like intelligence and cognitive abilities. It means that AI is able to learn, understand and act on a wide range of situations and problems, similar to how humans do.
Nvidia CEO, Jensen Huang, mentioned during an economic forum at Stanford University that artificial general intelligence (AGI) might become a reality within five years, depending on its definition.
Huang acknowledged that AI has made strides in passing various tests, hinting that within half a decade, it could excel in a broad array of assessments.
“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.
Goals must be defined
Huang, who heads the world’s leading maker of artificial intelligence chips used to create systems, emphasised that AGI’s arrival would be determined by how the goal is delineated. 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 noted that there is a need for more chip factories to support the AI industry’s growth. He noted that additional fabs are needed, underscoring the ongoing improvement in chip efficiency over time, which could mitigate the necessity for a vast number of chips.
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