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Home » NVIDIA CEO Jensen Huang welcomes the rise of super-intelligent AI at CES 2025
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NVIDIA CEO Jensen Huang welcomes the rise of super-intelligent AI at CES 2025

matthewephotography@yahoo.comBy matthewephotography@yahoo.comJanuary 8, 2025No Comments2 Mins Read
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To no one’s surprise, NVIDIA CEO Jensen Huang isn’t too worried about a future filled with robots and super-intelligent AI. In fact, he welcomes it. During a CES Q&A session with media and analysts, Huang was asked whether he thought intelligent robots would ultimately be on the side of humans or against humans. “That’s how we plan to build humans,” he answered confidently.

“The idea of ​​superintelligence is not new,” Huang continued. “My company has a lot of people who are superintelligent in their field of work. I’m surrounded by superintelligent people. And I’m more superintelligent than others. I like to be surrounded by people.”

Given that the hype around generative AI is so big for NVIDIA’s business, which currently competes with Apple and Microsoft for the world’s biggest valuations, Huang believes it will rely more on smarter AI. It is only natural that we support the future with all our might. He stopped short of proclaiming the arrival of godlike artificial general intelligence (AGI) in the style of OpenAI CEO Sam Altman and Tesla’s Elon Musk; instead, Hwang’s vision is more Sounds like you’re task focused.

“That’s the future. We’re going to have super-intelligent AI that can write, analyze problems, address supply chain planning, create software, and design chips,” he said. “Of course, technology can be used in many different ways, but it is humans who are harmful. I think machines are machines.”

After Huang’s lengthy CES keynote address, he admitted in a morning Q&A to a largely unenthusiastic audience that he had a hard time communicating his vision for real-world AI. Huang is preparing robots for real-world tasks by combining NVIDIA’s Omniverse technology for visualizing 3D routines and NVIDIA Cosmos for generating photorealistic environments for AI training. We think it will make training easier. It could ultimately be a small step towards AI superintelligence, or at least slightly more capable robots.



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