TECH NEWS – Jensen Huang, CEO of Nvidia, predicts that we will have a million times more powerful artificial intelligence models than the current ChatGPT within ten years.
It is safe to say that Nvidia is confident of revolutionary innovations in artificial intelligence, which will surely come at a price (likely, the companies will buy up their graphics cards from us… if anyone can buy anything for themselves), as demand for their products will increase, and AI factories will be created. Huang spoke about this in detail during Nvidia’s quarterly earnings call:
“Moore’s Law, in its best days, would have delivered 100x in a decade by coming up with new processors, new systems, new interconnects, new frameworks and algorithms and working with data scientists, AI researchers on new models, across that entire span, we’ve made large language model processing a million times faster. Over the next ten years, I hope through new chips, new interconnects, new systems, new operating systems, new distributed computing algorithms, and new AI algorithms and working with developers coming up with new models, I believe we’re going to accelerate AI by another million times.
There was a time when people manufactured just physical goods. In the future, almost every company will manufacture soft goods. It just happens to be in the form of intelligence. I expect to see AI factories all over the world. There will be some that are large, some that will be mega-large, and then there’ll be some that are smaller. I expect that you will see massive breakthroughs in AI models in the next company, the AI platforms, in the coming decade. But simultaneously, because of the incredible growth and adoption, you’re going to see these AI factories everywhere,” said Huang, who is going all out for the technology.
Of course, let’s not get carried away because if they became fully conscious, what we saw in the Terminator movies would happen. (China already has a surveillance system called Sky Net, and US NSA has a program called Skynet).
Source: PCGamer
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