The CEO of Nvidia, Jensen Huang, does not only build chips that feed the AI advanced models – he says that he also uses these models as a personal tutor.
“I use it every day as a tutor,” said Huang about tools like Chatgpt, Gemini Pro and Perplexity. “In the fields that are new enough for me, I could say:” Start by explaining myself as if I was a 12 year old child “, then progress in a level of doctorate over time.”
Huang was speaking in a panel at the 28th annual global conference of the Milken Institute on Tuesday. The Mega-Investments Conference held in California this year attracts world leaders, technological executives and experts to discuss the future of finance, innovation and global markets.
This type of access, says Huang, is what makes this generation of technology a potential equalizer.
“Artificial intelligence is the greatest opportunity for us to close the technological gap,” he said.
“In this room, it is very unlikely that more than one handful of people know how to program with C ++,” he said. C ++ is a specialized coding language used for the creation of software.
“However, 100% of you know how to program an AI, and the reason is that the AI will speak the language you wanted to speak,” he added.
Huang said everyone should take advantage of AI and “each student should use it as a tutor”.
“Do not be that person who ignores this technology and this result is losing you,” he added.
The AI revolution will also affect each job, Huang said.
Some roles will be lost, others created – but all will be transformed. “You are not going to lose your job against AI,” said Huang. “You will lose your job with someone who uses AI.”
Huang has long been a supporter of the use of AI and Copilotes to automate the workforce. He previously declared that he wanted Nvidia to be a company with “100 million AI assistants”.
Huang said in October at an AI summit in India that AI would make parts of certain jobs 1,000 times – but that will never replace real humans who play these roles.
Nvidia Produce some of the most sought after chips for AI models. In June, at the back of the AI wave, Nvidia struck Stock market cap of 3 billions of dollars for the first time. Its value has since been reduced to 2.8 billions of dollars.
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