Shulou(Shulou.com)12/24 Report--

On November 30, Nvidia CEO Huang Renxun said at the annual DealBook summit of the New York Times on Wednesday that artificial intelligence is surpassing humans.

He points out that if general artificial intelligence (AGI) is defined as a computer that can perform tests in a manner comparable to human intelligence, then "it is clear that artificial intelligence can complete these tests in the next five years".

Nvidia's business is growing rapidly because of a surge in demand for high-performance graphics processing units (GPU) in a variety of industries. These GPU are used to train artificial intelligence models and run a large number of workloads in industries such as automotive, construction, electronics, engineering and scientific research. They also support OpenAI's chat robot ChatGPT.

Nvidia's revenue tripled in the third quarter, with net profit climbing to $9.24 billion from $680 million in the same period last year.

Huang Renxun recalled how he delivered "the world's first artificial intelligence supercomputer" to OpenAI. At the time, Elon Musk, co-founder of OpenAI, had not yet left, and he heard Huang Renxun's introduction to the device at a conference.

"Musk heard my introduction and said,'I want one, too, 'and told me about OpenAI," Huang recalled. "on the same day, I delivered the world's first artificial intelligence supercomputer to OpenAI."

Mr Huang said he hoped things would calm down as soon as possible, referring to the recent board reshuffle surrounding OpenAI and the dismissal and subsequent reinstatement of chief executive Sam Altman.

Huang Renxun said: "I am glad that they have reached an agreement, and I hope they have reached an agreement. This is a very great team. It is also reminiscent of the importance of corporate governance. Nvidia has gone through a lot of adversity since it was founded 30 years ago. If we don't build the company correctly, who knows what will happen."

Huang Renxun predicts that competition in the field of artificial intelligence will lead to the emergence of a large number of off-the-shelf artificial intelligence tools, and companies in different industries will adjust to their own needs, from chip design and software development to drug discovery and radiology.

When asked to rank the success of different companies in the artificial intelligence market, he replied: "I will not rank my friends. I admit, I want to do this, but I won't do it."

Huang Renxun believes that one reason why the technology industry is still years away from achieving general artificial intelligence is that although artificial intelligence currently performs well in tasks such as recognition and perception, there are still challenges in performing multi-step reasoning tasks. multi-step reasoning is a top priority for companies and researchers. "everyone is working on it," he said. "

This technology is developing rapidly. Huang Renxun said: "there is no doubt that the pace of progress is very fast. What we realize today is that while these models are related to what we can do with intelligence, they are different."

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