Quotes About Automation

It was extraordinary the way her body knew how to do things—the mobile phone, the makeup, the lock—without her mind remembering her ever having done them before.

Well that's a system too but you don't think about it very much because of how flawlessly it works for you.

You cannot endow even the best machine with initiative; the jolliest steam-roller will not plant flowers.

When technology reaches that level of invisibility in our lives, that's our ultimate goal. It vanishes into our lives. It says, 'You don't have to do the work; I'll do the work.'

Until computers and robots make quantum advances, they basically remain adding machines: capable only of doing things in which all the variables are controlled and predictable.

Traditionally, images have functioned as representations of something in the world, but we are quickly approaching the point where vast majority of images are produced for other machines, and no human being will ever see them.

The hope is that we'll continue to create jobs for the vast majority of people. But if the situation arises that this is less and less the case, then we need to rethink, how do we make sure that everybody can make a living?

The benefits of having robots could vastly outweigh the problems.

From a technology and economic perspective, it's vastly more likely that autonomy will be used for mobility services.

There will be new businesses that will digitally enable the planning and consumption of passenger and goods movement to be more efficient, enjoyable, productive, safer, cleaner, and cheaper. That could mean everything from maintaining vehicle fleets to remote monitoring.

To make a vehicle autonomous, you need to gather massive streams of data from loads of sensors and cameras and process that data on the fly so that the car can 'see' what's around it.

The key with autonomous is the whole ecosystem. One of the keys to having truly fully autonomous is vehicles talking to each other.

Transportation, with self-driving vehicles, is going to be a big use of machine learning.

The energy that's going into autonomous vehicles is very significant, and we expect to continue to invest there.

Well, you can say there is a self driving car. I'm seeing the automation of vehicles. Really, computer-assisted driving. I think that is really interesting to us because we are taking all of the sensors technologies and putting them in cars and making people safer.

I'm not yet convinced that we will face an unemployment problem created by AI. There will certainly be some occupations eliminated - drivers of vehicles, many production jobs, etc. Whether this creates mass unemployment depends on how quickly this happens. If it happens overnight, it will be a huge disruption.

The promise of autonomous vehicles is great.

Here's a startling fact: in the 45 years since the introduction of the automated teller machine, those vending machines that dispense cash, the number of human bank tellers employed in the United States has roughly doubled, from about a quarter of a million to a half a million.

In a world with many blockchains and hundreds of tradable tokens built on top of them, entire industries are automated through software, venture capital and stock markets are circumvented, entrepreneurship is streamlined, and networks gain sovereignty through their own digital currency. This is the next phase of the Internet.

The AI strategy is implausible.

Historical fact: People stopped being people in 1913. That was the year Henry Ford put his cars on rollers and made his workers adopt the speed of the assembly line. At first, workers rebelled. They quit in droves, unable to accustom their bodies to the new pace of the age. Since then, however, the adaptation has been passed down: we've all inherited it to some degree, so that we plug right into joy-sticks and remotes, to repetitive motions of a hundred kinds.

But in 1922 it was still a new thing to be a machine.

The adaptation [to assembly lines] has been passed down: we've all inherited it to some degree, so that we plug right into the joysticks and remotes, to repetitive motions of a hundred kinds.

The computer should be doing the hard work. That's what it's paid to do, after all.