Paul Allen Quotes

I'd rather see artificial intelligence than no intelligence.

IA is something that is proceeding very naturally, in most cases not even recognized by its developers for what it is.

The real goal of AI is to understand and build devices that can perceive, reason, act, and learn at least as well as we can.

My goal is to create friend machines. Friendly genius machines. Machines with genius capabilities.

There are three basic approaches to AI: Case-based, rule-based, and connectionist reasoning.

Artificial intelligence is always 20 years away.

This is a magical time for computer programming. We are moving towards the artifical intelligence holy grail of programming the computer to simulate the human brain.

The thing that's going to make artificial intelligence so powerful is its ability to learn, and the way AI learns is to look at human culture.

We want to build intelligence that augments human abilities and experiences.

The future of Windows is to let the computer see, listen and even learn.

Think about when a digital business marries up with what I'll call 'digital intelligence.' It is the dawn of a new era about being a 'cognitive' business. When every product, every service, how you run your company can actually have a piece that learns and thinks as part of it, you will be a cognitive business.

Artificial intelligence is one of 50 things that Watson does. There is also machine learning, text-to-speech, speech-to-text, and different analytical engines - they're like little Lego bricks. You can put intelligence in any product or any process you have.

If you step back a little and say we want to do A.I., then you will realize that A.I. needs knowledge, reasoning, and explanation.

There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.

Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the Web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.

My principal professional objective is to introduce intelligence as the ubiquitous utility. I'd like to be the Thomas Edison of intelligence.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

Twenty-five years ago, the notion was you could create a general problem-solver software that could solve problems in many different domains. That just turned out to be totally wrong.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

I think what's really amazing is that given the scale of the web and getting the compute power we have today, we're starting to see things that appear intelligent but actually aren't semantically intelligent.

My background really comes from geekdom and the idea of building a smart machine. If we're going to build a smart machine, let's have it read good books.

When people speak of creating superhumanly intelligent beings, they are usually imagining an AI project.

I am suggesting that we recognize that in network and interface research there is something as profound (and potential wild) as Artificial Intelligence.

A smart model is a good model.

Some claim that computers will, by 2050, achieve human capabilities. Of course, in some respects they already have.