Nvidia’s Chief Executive Jensen Huang recently expressed optimism about the potential arrival of artificial general intelligence (AGI), suggesting that it could happen within the next five years, depending on how AGI is defined.

Huang’s remarks came during an economic forum at Stanford University, where he addressed the longstanding goal of creating computers capable of human-like thinking. He noted that the timeline for achieving AGI largely hinges on how one defines the goal.

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According to Huang, if AGI is defined as the ability to pass a comprehensive set of human tests, including specialized tasks such as medical diagnostics, he believes AGI could emerge within five years. He cited the progress already made by AI systems in passing certain tests, such as legal bar exams, and expressed confidence that AI would soon excel in a wide range of tests.

However, Huang acknowledged that AGI remains a complex and multifaceted concept, with ongoing debates among scientists about how to characterize human intelligence. This variability in definitions complicates the engineering process, as engineers typically require clear objectives to work towards.

Regarding the expansion of the AI industry and the need for more chip manufacturing facilities (“fabs”), Huang agreed that additional fabs would be necessary to support growth. However, he pointed out that advancements in chip technology would also contribute to meeting demand. As computing efficiency improves over time, the demand for chips may be mitigated to some extent.

In summary, while Huang remains optimistic about the potential for AGI within the next five years, he acknowledges the complexity of the concept and the ongoing challenges in engineering systems that replicate human intelligence. Additionally, he highlights the need for continued advancements in chip manufacturing to support the expanding AI industry.