Nvidia CEO Jensen Huang made a bold prediction about the future of artificial intelligence at a recent economic forum held at Stanford University.
According to Huang, artificial general intelligence (AGI) – AI capable of thinking like a human – could arrive within 5 years, depending on how it is defined.
Huang explained that if AGI is defined as an AI system that can pass any human test, we will likely achieve it in the next 5 years.
He theorized that if the computer science industry were given a comprehensive list of tests, AI systems could pass all of them in that timeframe.
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- Nvidia CEO predicts AI will pass any human test in 5 years.
- AI with human-like intelligence could arrive by 2029, per Jensen Huang.
- However, other experts say true AGI is still far away, and the progress timeline is uncertain.
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Nvidia CEO Predicts AI Capable of Passing Any Human Test Within 5 Years
AI can pass certain specialized tests like legal bar exams but still struggles with complex medical exams.
However, Huang believes AI capabilities will advance to passing any test within five years.
This is an incredibly ambitious timeline that, if achieved, would mark a monumental milestone in AI research.
However, Huang noted that true AGI could be much further away by other definitions.
This is because scientists still do not fully understand how human minds work.
Engineers face challenges in creating AGI systems without a clear framework for replicating human-like thinking.
Huang pointed out that as engineers they need well-defined goals to work towards.
The rapid progress in AI over recent years lends some credibility to Huang’s prediction.
Models like ChatGPT demonstrate AI’s increasing ability to perform human-like tasks involving reasoning and language.
However, most experts believe we are still far from developing true AGI.
Huang also discussed the AI industry’s chip requirements.
Media reports suggest more chip fabrication plants (fabs) will be needed to meet demand.
While acknowledging the need for more fabs, Huang said chip efficiency is also improving dramatically.
This means the number of chips required will be limited as their performance increases.
Nvidia’s chips already power many of the leading AI systems today.
The company’s research and advanced chip technology put it at the forefront of AI development.
If Huang’s predictions come true, Nvidia may play a pivotal role in bringing about the next giant leap in AI capabilities.
Only time will tell if AI that matches human intelligence is just 5 years away.
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