Registering a significant shift in the global market landscape,the American tech giant Nvidia has surpassed Saudi Aramco while claiming the third-place spot among the world’s largest companies by market capitalization, as per the Spectator Index, which is the name of a popular X(Twitter) account having 2.7 million followers.
Nvidia Becomes The World’s Third Largest Company
On the first day of March, Nvidia’s stock market value closed above $2 trillion for the first time following an upbeat report from Dell Technologies which has reignited Wall Street’s AI-fueled rally.
This all started on late Thursday when Dell, which sells high-end servers made with Nvidia’s processors, gave an upbeat forecast.
The company was talking about having a surge in orders for its AI-optimized servers.
The event has led to Nasdaq 100 climbing almost 1.5 percent.
A gauge of chipmakers jumped over 4% and Nvidia Corp. led gains in megacaps.
A Computer – Thinks Like Human
“Artificial general intelligence could – by some definitions – arrive in as little as five years,” said Jensen Huang, Nvidia Chief Executive while speaking at the 2024 Stanford Institute for Economic Policy Research Summit in Palo Alto, California on March 1.
While answering the question of how long it would take to achieve one of Silicon Valley’s long-held goals of creating computers that can think like humans, Huang said that the answer largely depends on how the goal is defined.
Further he said that if the definition is the ability to pass human tests, then artificial general intelligence (AGI) will arrive soon, responding to a question at an economic forum held at Stanford University.
Huang, who heads the world’s leading maker of artificial intelligence chips used to create systems like OpenAI’s ChatGPT, said, “If I gave an AI … every single test that you can possibly imagine, you make that list of tests and put it in front of the computer science industry, and I’m guessing in five years, we’ll do well on every single one.”
So far, AI can pass tests such as legal bar exams.
Although, it struggles with specialized medical tests such as gastroenterology.
According to Huang, in five years AI should also be able to pass any of them.
“AGI may be much further away, because scientists still disagree on how to describe how human minds work,” said Huang, in another definition.
Further adding, “it’s hard to achieve as an engineer” because engineers need defined goals.
Besides this, Huang also answered a question about how many more chip factories, called “fabs” in the industry, are needed to support the expansion of the AI industry.
According to the OpenAI Chief Executive Sam Altman, many more ‘fabs’ are needed, as per the media report.
“More will be needed, but each chip will also get better over time, which acts to limit the number of chips needed,” said Huang.
