Nvidia’s CEO, Jensen Huang, has predicted that the timeline for achieving artificial general intelligence (AGI), could be as soon as five years, revealing this at an economic forum held at Stanford University.
While speaking at the forum, Huang addressed the goal of creating computers capable of human-like thinking, stressing that the timeframe for achieving AGI depends on how it is defined. He explained that if AGI is defined as the ability to pass human tests, then significant progress could be made within five years.
Nvidia, headquartered in the US, leads in producing AI chips used in large language models like OpenAI’s ChatGPT. The company’s CEO noted that current AI technologies have passed tests like legal bar exams. The AI models struggle with specialised medical tests like gastroenterology, but it’s expected that that challenge will be overcome in a few years. However, Huang acknowledged that disagreements among scientists about how to describe human minds may delay progress in achieving AGI by other definitions.
Addressing the need for chip factories, or “fabs,” to support the expansion of the AI industry, Huang noted that while more fabs will be required, ongoing improvements in algorithms and processing will also enhance efficiency.
Source: Reuters
By Derrick Kafui Deti – Digital Economy Magazine
