Nvidia’s CEO, Jensen Huang, stated last week that artificial general intelligence (AGI) could potentially be achieved within five years, particularly when defined by the ability to pass human tests.
Jensen Huang, CEO, NVIDIA. Photo by Duy Ho for Fortune via Flickr, CC BY-NC-ND 2.0 license
Huang, who leads Nvidia, a prominent manufacturer of artificial intelligence chips utilized in systems like OpenAI’s ChatGPT, shared his perspective during an economic forum at Stanford University. He emphasized that the timeline for AGI largely hinges on how the goal is defined, suggesting that if the criterion is the capability to excel in a broad range of human tests, it could be achievable within the next five years. Nvidia recently reached a market value of $2 trillion.
Currently, artificial intelligence (AI) exhibits proficiency in certain tests like legal bar exams, while encountering challenges in specialized medical assessments such as gastroenterology.
According to Nvidia’s CEO, Jensen Huang, within the next five years, AI should be capable of excelling in a broad spectrum of tests, including specialized medical ones. However, the timeline for achieving artificial general intelligence (AGI) remains uncertain, as there is disagreement among scientists regarding the understanding of how human minds function.
Huang acknowledged the need for more chip factories (“fabs”) to support the growth of the AI industry, aligning with OpenAI Chief Executive Sam Altman’s perspective. He emphasized that while an increase in fabs is necessary, ongoing improvements in algorithms and AI processing efficiency will contribute to limiting the overall demand for chips.
Huang also emphasized a continuous enhancement in computing efficiency, projecting a significant improvement over the next decade.
Written by Alius Noreika