Jack Dangermond Quotes

I got interested in computers and how they could be enslaved to the megalomaniac impulses of a teenager.

I thank God for not making me a computer scientist.

Robotics is very interdisciplinary, and so, except at a very few colleges, there is not a major that is exactly fitted to robotics.

The computing world is very good at things that we are not. It is very good at memory.

Computer science is no more about computers than astronomy is about telescopes.

I've always been interested in technology, but specifically how we can use machines to engage the imagination. I started using computers when I was young and was fascinated by creating rules and instructions that allow a computer to engage in a dialogue with humans. The stories found in the data all around us can do just that.

Graphics has lately made a great shift towards machine learning, which itself is about understanding data.

I like to think of it as this new field. Instead of computer science, it's going to be virtual science.

The idea of a computer winning the Nobel Prize for physics is not too unlikely, citing a computer as joint recipient. It's obviously not a huge leap to think of something similar happening in fiction.

Computer science inverts the normal. In normal science, you're given a world, and your job is to find out the rules. In computer science, you give the computer the rules, and it creates the world.

I think of 'data science' as a flag that was planted at the intersection of several different disciplines that have not always existed in the same place. Statistics, computer science, domain expertise, and what I usually call 'hacking,' though I don't mean the 'evil' kind of hacking.

I did not grow up around computers, so technology was not a tool used every day in my household. I was drawn to computer science due to the creative nature of programming and the technology focus.

I'm fascinated by artificial intelligence.

We're losing track of the vastness of the potential for computer science. We really have to revive the beautiful intellectual joy of it, as opposed to the business potential.

Computers, like automobiles and airplanes, do only what people tell them to do.

Yeah, computers are going to take over the programming business because they have become so fast recently that they can solve the Halting Problem in five seconds flat.

All of my friends who have younger siblings who are going to college or high school - my number one piece of advice is: You should learn how to program.

No more than these machines need the mathematician know what he does.

When people think about computer science, they imagine people with pocket protectors and thick glasses who code all night.

Machines built by human beings they will function correctly if we provide them with a very specific environment. But if that environment is changed, they won't function at all.

Giving the kids a programming environment of any sort, whether it's a tool like Squeak or Scratch or Logo to write programs in a childish way - and I mean that in the most generous sense of the word, that is, playing with and building things - is one of the best ways to learn.

Unlike us, machines do not have a 'nature' consistent across vast reaches of time. They are, at least to begin with, whatever we set in motion - with an inbuilt tendency towards the exponential.

The basis of computer work is predicated on the idea that only the brain makes decisions and only the index finger does the work.

In fact, there was general agreement that minds can exist on nonbiological substrates and that algorithms are of central importance to the existence of minds.

When you apply computer science and machine learning to areas that haven't had any innovation in 50 years, you can make rapid advances that seem really incredible.