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This week, Nvidia has become the first company in the story to are worth $ 4 trillion. It’s such a big number is almost without meaning, more of the full economy of Germany or the UK. While the Wall Street celebrates, the question for everyone else is simple: So what?
The response, according to Nvidia Jensen Huang, is that this is not only of the stock prices. It’s about a fundamental refund of our world.
So why is this a society so important? In the simplest, Nvidia terms makes the “brain” for artificial intelligence. Their advanced pats, known as GPUS, I’m the motor that all right to the UI character is built by Google and Microsoft. In the gold golden golden in the gold for Jobale for the Novia disjus shows all click, and made the poor society on the planet.
In a wide cranished interviews with CNNs to Zakaria, Huang the Favorite company company company company company’s company’s company’s company, they will be ordinary persons.
Huang has no sugar. “Everyone’s work have been affected,” Everybody’s work will be affected. Some works will be lost, “Shows me. Some will ship it. Others will be reigned. Hope, has suddenly suddenly as fascinate.
I admit the caps are high. A recent economic owl survey found that 41% of the plans of reducing its work force by 2030 because of the AI. And inside of itself, Huang said, what do you use ai is not just encouraged. Is obligation. One of the most Huang boldest claims is that ai is dependent on America who has to build things. He has offered a different suspility to refuse Trump Administration to reuse the country, calling you not only a clever political movement but an economic necessity.
“This passion, skill, the mary of growing; the ability to get the wonderful career and a wonderful, it will reduce the wonderful chipmities, and opening the workmen to workouts without i workers.
This alignment position with trump fees and “done in America” push, a rare moment of agreement and bad technology.
In perhaps its more optimistic prediction, Huang described the power to revolution the medicine. He believes the ARE HAVE THE DRUG DRUGLIZE, scratch the human biology code, and also helps to research the sorts of all illnesses.
“With the time, we’re going to have the virtual searchers and scientists to help them care in essentially,” he said Huang.
The patterns have already trained on the “language” of proteins, chemicals, and genetic. Huang says you see you soon powerful the partners AI in Labs through the world.
I can’t see you too, but huang says technology for physical robots, intelligence they have already, and what do we see in the next three to five years. Calls you “sail patterns,” short for life-linguistic. These robots may see, understand the instruction, and take the action in the real world.
Huang doesn’t dodge the darkest side of the AI boom. When he asked controversiness such as Elon Musk chatbot has shot antisemitic content, has admitted “some damage will be done.”
But has urged people to be patient as a security instruments improve. He said most models you already use others AIS to the fact control results, and technology is better every day.
His bottom line: AI will be overwhelmining positive, even if you put it in the road.
Jensen Huang is talking on the cooking diseases ai and repaired work. But here is what is left unsaid: every transformation that describes it flows through nvidia. They make chips. Have set the beat. And now, at $ 4 trillion, they have the LEGE to guide the ai was in his favor. We’ve seen this playbook first. Technician giants make Utopian promises, catch the infrastructure, and then decide which one turns on, and in which cost. By Amazon Warehouses to facture tax: The mottlords always same: Consolidation, switch, check.
I have hype machine keeps inevitable sale. But behind the scenes, this is a story of raw power. Nvidia has become a cat for what is possible in scientie, work, and safety. And most of us did not have a vote.
Huang says how long it will happen. But the story tells us that when the firms promise to solve the world with technology, the damage tends to land on the same people each time.