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Comment Meanwhile, at Carnegie Mellon... (Score 4, Interesting) 159

Jensen Huang to college grads: "Run. Don't walk" toward AI

https://www.axios.com/2026/05/...

Nvidia founder and CEO Jensen Huang told graduates at Carnegie Mellon University in Pittsburgh yesterday that demand for AI infrastructure is creating a "once-in-a-generation opportunity to reindustrialize America and restore the nation's capacity to build."

Why it matters: With many college grads fearing AI could obliterate their career dreams, Huang pointed to boundless opportunity as a "new industry is being born. A new era of science and discovery is beginning ... I cannot imagine a more exciting time to begin your life's work."

Nvidia, which makes AI chips, is the world's most valuable company. Huang told 5,800 recipients of undergraduate and graduate degrees that the AI buildout will require plumbers, electricians, ironworkers, and builders for chip factories, data centers and advanced manufacturing facilities.

"No generation has entered the world with more powerful tools â" or greater opportunities â" than you," he said. "We are all standing at the same starting line. This is your moment to help shape what comes next. So run. Don't walk."

"Every major technological revolution in history created fear alongside opportunity," Huang added. "When society engages technology openly, responsibly, and optimistically, we expand human potential far more than we diminish it."

Full speech: https://www.youtube.com/watch?...

Comment Re:Altman vs Musk (Score 1) 56

Musk has done good things. I really appreciate the way the Tesla pushed electric car development, and SpaceX has done good things. But those aren't recent...and even back then I wouldn't have wanted to work for him or live under his control.

However that's not what this case is about. But I hope they both lose.

Comment Re:Altman vs Musk (Score 1) 56

If you really want safety you don't train your AI on the internet. Internet chat is where people say what they feel like without worrying about repercussions. That's not a good source of training data...except for learning not to trust what people say.

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