How to win the race

Jensen explaining how to win the AI race

To do well in a a race, you have to understand the race.  You have to understand the resources that you are working with, the assets that you have, the assets that you don't have, your advantages and disadvantages. AI is fundamentally, at it's core level, going back to the three leves that we were talking about, at each level we have to make sure that we understand the game. And there's no clock on this thing, this is an infinite game. Most people aren't very good at playing infinite games. Video is now 30 years old, we have been throug three computer revolutions, from the PC revolution, to the internet to mobile and now we are in AI, and so in order to thrive accross all of these different changes in the environment, you have to understand how to play games. 

At the first layer, the technology layer, the most important thing to understand is the intellectual capital. Remember, 50% of the world's AI researchers are Chinese. First take a step back and recognize that. That important factor has to play into how we think about the game. The next is AI factories. And to do well there you need to have energy. Fundamentally, we transform electricity into digital tokens. Just as the last industrial revolution transformed atoms through energy into the physical things that we know of, cars and buildings and things like that. And the generation before that we did water into a machine, called a dynamo, and what came out was electricity. And so now we have electricity going in and tokens come out. 

So the next layer requires energy. The layer above that is just happening now. And it is really, really important that we understand that ultimately the winners of the last industrial revolution wasn't the country that invented it, it was the country that applied it. And the United States applied steel, applied energy, faster than any country. Everybody else was worried about things like labour and, you know, horses being replaced by cars, you know, those kind of matters, but the United States, we just took it and ran with it. And so the infrastructural layer above that is about the application of the technology. It's about not being afraid of it, wanting to engage it, reskilling our workforce, thtat they are able to apply it. Encouraging people to adopt it. And so, when you look at AI through the lens that I just described, the framework that I just described, each one of the layers has its own challenges, opportunities and the game is a little different on each one.  --- See also: artificialintelligencenews.in