Nvidia’s CEO, Jensen Huang, mentioned that artificial intelligence is catching up to humans. Huang, speaking at The New York Times’ annual DealBook summit, made this statement. He said if artificial general intelligence (AGI) is a computer capable of performing tests in a way fairly comparable to human intelligence, then “within the next five years, you’re going to see, obviously, AIs that can achieve those tests.”
Nvidia’s AI Business is Booming
Nvidia is experiencing a thriving business due to the increased demand for high-powered graphics processing units (GPUs). These GPUs are essential for training AI models and handling substantial workloads across various industries. This includes automotive, architecture, electronics, engineering, scientific research, and even for applications like OpenAI’s ChatGPT.
In Nvidia’s fiscal third quarter, revenue saw a remarkable triple increase, reaching $9.24 billion in net income compared to $680 million in the same period the previous year.
Nvidia Supplied World’s First AI Supercomputer to OpenAI
During the interview on Wednesday, Huang reminisced about delivering “the world’s first AI supercomputer” to OpenAI. This significant development took place after Elon Musk, who co-founded the AI project but left it in 2018, heard Huang speak about the device at a conference.
In his statement, Huang said: “Elon saw it, and he goes, ‘I want one of those’ — he told me about OpenAI,” Huang added “I delivered the world’s first AI supercomputer to OpenAI on that day.”
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Discussing the recent turmoil at OpenAI, involving changes in its board structure and the temporary removal and subsequent reinstatement of CEO Sam Altman, Huang expressed his hope that the situation was settling down.
“I’m happy that they’re settled, and I hope they’re settled — it’s a really great team,” Huang stated. “It also brings to mind the importance of corporate governance. Nvidia is here 30 years after our founding, we’ve gone through a lot of adversity. If we didn’t set up our company properly, who knows what would have been.”
Competition in the AI Space
Huang predicted that increasing competition in the AI space would result in the development of off-the-shelf AI tools. Companies across different industries would then customize these tools to suit their specific requirements, ranging from chip design and software creation to drug discovery and radiology.
While onstage, Huang was asked to rank the success of various companies in the AI market.
“I’m not going to rank my friends,” he explained. “I’ll admit it, I want to, but I’m not going to do it.”
One reason the tech industry is still years away from AGI, Huang added, is that although machine learning is currently skilled at tasks like recognition and perception, it can’t yet perform multistep reasoning, which is a top priority for companies and researchers. “Everybody’s working on it.”
“There’s no question that the rate of progress is high,” Huang said. “What we realize today is that of course, what we can do today with these models and intelligence are related, but not the same.”
Source / Via: CNBC