General artificial intelligence may arrive in the coming few years.

Artificial general intelligence may arrive in less than five years, according to statements by NVIDIA's CEO, Jensen Huang.

Huang heads the globally leading company in manufacturing AI chips used to create systems, such as OpenAI's ChatGPT.

Huang's predictions came in response to a question at an economic forum held at Stanford University regarding the timeframe for achieving one of Silicon Valley's long-awaited goals: creating computers capable of human-like thinking.

Huang explained that the answer largely depends on how the goal is defined, suggesting that AGI capable of passing human-level tests could arrive soon.

The CEO, whose company's market value has reached trillions of dollars, stated, "When AGI arrives within five years, it will be able to surpass any test you can imagine. Just make a list of tests and put it in front of the computer science industry, and see it perform well on each test individually."

The emerging technology can now pass tests, such as the bar exams for lawyers, although it still faces difficulties with specialized medical tests, such as gastrointestinal diseases.

Huang emphasized that AGI should be able to pass any human test within five years from now.

NVIDIA's CEO suggests that AGI, according to other definitions, may need more time to arrive.

This stems from the fact that scientists are still debating how to describe the workings of the human mind.

Huang said, "Engineers find it difficult to develop AGI that resembles human intelligence because engineers need specific goals to apply, and there is currently a difference regarding these goals."

Huang also addressed a question about the number of additional chip factories needed to support the expansion of the AI industry.

Media reports mentioned that Sam Altman, CEO of OpenAI, believes that more chip factories are needed.

Huang said there might be a need for more, although each chip might also improve over time, potentially reducing the number of chips required.

NVIDIA's CEO stated, "We need more transformative industries, although we must remember that we are also working on improving algorithms and processing methods over time."