Quotes About Automation

Things that are so hard for people, like playing championship-level Go and poker, have turned out to be relatively easy for the machines. Yet at the same time, the things that are easiest for a person - like making sense of what they see in front of them, speaking in their mother tongue - the machines really struggle with.

Machines aren't replacing proofreaders at all. Copy editors, who proofread and much, much more, use spellcheck as a tool but read every word that appears in the paper.

A calculator is a tool for humans to do math more quickly and accurately than they could ever do by hand; similarly, AI computers are tools for us to perform tasks too difficult or expensive for us to do on our own, such as analyzing large data sets or keeping up to date on medical research.

We're at a point now where we've built AI tools to detect when terrorists are trying to spread content, and 99 percent of the terrorist content that we take down, our systems flag before any human sees them or flags them for us.

The entire idea of building a series of systems in a business is simply this - to create the tools that allow you, as a business owner, to increase productivity and get the job done. The idea behind these systems, of course, is to quit needing your judgement or input in every area of the business.

Autonomous driving provides a scenario where AI can deliver smart tools for assistance in decision-making and planning to human drivers.

Apple has an opening to say, 'The tools we are selling to you will enable you to do things rather than do things for you.' Google's vision is tools that will do things for you.

The ability to save automatically is among the most powerful tools available to us.

I made a toothbrush helmet, which was a skateboard helmet with a robot arm holding a toothbrush. The idea was that it would brush your teeth for you.

If you want to make a serious, rugged, reliable robot, you can start with the Create platform and just build stuff on top of it.

People at the very top of the income scale also benefited from globalization and automation. But the income of working- and middle-class people in the developed world has stagnated.

Robots... I think that is a hot topic.

La sociedad de lo sucedáneo os seguirá utilizando como máquinas, alimentando como máquinas, controlando como máquinas, haciendo currar como máquinas, y se deshará de vosotros, como máquinas, cuando ya no podáis manteneros en estado de funcionamiento».

Computers are famous for being able to do complicated things starting from simple programs.

Is there anything more self-defeating than using technology to free up your time - so that you can learn how to do an even better job at it?

Next time round Hitler will be a machine.

Software substitution, whether it's for drivers or waiters or nurses - it's progressing. Technology over time will reduce demand for jobs, particularly at the lower end of skill set.

Corporations turned the human into a robot a long time ago.

A recent survey found that 82 per cent of Americans think that over the next thirty years robots and computers will 'probably or definitely do most of the work done by humans' but that only 37 per cent think they will do 'the type of work I do': a big contradiction there.

In the contemporary rendition, it's not that the slave technology grows stronger than us and learns to disobey our commands—it's that we deteriorate to the level of the machines. Smart technology makes us dumber.

For every job lost to automation, a new one will materialize that we cannot anticipate: he unemployed forklift operators will retrain as tattoo removal technicians and video game costume designers and social media content moderators and pet psychiatrists.

The acts of life we repeat every day need to be automatized. They must be turned into stable and reliable habits, so they lose their complexity and gain predictability and simplicity.

Working an integral or performing a linear regression is something a computer can do quite effectively. Understanding whether the result makes sense—or deciding whether the method is the right one to use in the first place—requires a guiding human hand. When we teach mathematics we are supposed to be explaining how to be that guide. A math course that fails to do so is essentially training the student to be a very slow, buggy version of Microsoft Excel.

linear regression is something a computer can do quite effectively. Understanding whether the result makes sense—or deciding whether the method is the right one to use in the first place—requires a guiding human hand. When we teach mathematics we are supposed to be explaining how to be that guide. A math course that fails to do so is essentially training the student to be a very slow, buggy version of Microsoft Excel.