人工智能如何能帶來一場新的工業(yè)革命
? ? ? ? ?How AI can bring on a new industrial revolution
? ? ? ??? ??? ? ? ? ? ? ? ? ? ? ? ? -?Adapted from a speech by Kevin kelly
??When we take AI and embody it, we get robots.
? Robots are going to do many of the tasks that we have already done. A job is just a bunch of tasks, so they're going to do some of those tasks. But they're also going to create whole new categories, a whole new slew of tasks that we didn't know we wanted to do before. They're going to actually engender new kinds of jobs, new kinds of tasks that we want done, just as automation made up a whole bunch of new things that we didn't know we needed before, and now we can't live without them, So they're going to produce even more jobs than they take away.
? But it's important that a lot of the tasks that?we're going to give them are tasks that can be defined in terms of efficiency or productivity. If you can specify a task, either manual or conceptual, that can be specified in terms of efficiency or productivity, that goes to the robots. Productivity is for robots. We're really good at things that are inefficient. Science is inherently inefficient. It runs on the fact that you have one failure after another. It runs on the fact that you make tests and experiments that don't work, otherwise you're not learning. It runs on the fact that there is not a lot of efficiency in it. Innovation by definition is inefficient, because you make prototypes, becaude you try stuff that fails, that doesn't work. Exploration is inherently inefficient. Art is not efficient. Human relationships are not efficient. There are all the kinds of things?we're going to be attracted to, because they're not efficient. Efficiency is for robots. We're also going to work with these robots because they think differently than us.
? When Deep Blue beat the world's best chess champion, people thought it was the end of chess. But actually, it turns out that today, the best chess champion in the world is not a robot. And it's not a human. It's the team of a human and a robot. It's the team. We're going to be working with these robots, and I think you'll be paid in the future by how well you work with them. They're different, they're useful and they're going to be something we work with rather than against. We're working with tham rather than against them.
? So the future: where does that take us? I think that 25 years from now, they'll look back and look at our understanding of AI and say,?“you didn't have AI. In fact, you didn't even have the Internet yet, compared to what we're going to have 25 years from now.” There's a lot of money going to it. There are billions of dollars being spent on it. It's a huge business, but there are no experts, compared to what?we'll know in 20 years from now.
? So?we're just at the beginning of the beginning,?we're in the first hour of all this. We're in the first hour of?what's coming. The most popular AI product in 20 years from now, that everybody uses, has not been invented yet. The means that you're not late.
? Thank you.
? ? ? ? ? ? ? ? ? ? ? ? ? (The article come from my textbook)