Douglas Hofstadter Quotes

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

Machines are on track to be on par with human intelligence in less than 15 years.

Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.

I don't think there's anything unique about human intelligence.

Is artificial intelligence less than our intelligence?

I think that the artificial-intelligence people are making a lot of noise recently, claiming that artificial intelligence is making huge progress and we're going to be outstripped by the machines.

AI does not keep me up at night. Almost no one is working on conscious machines. Deep learning algorithms, or Google search, or Facebook personalization, or Siri or self driving cars or Watson, those have the same relationship to conscious machines as a toaster does to a chess-playing computer.

There is a real danger that computers will develop intelligence and take over. We urgently need to develop direct connections to the brain so that computers can add to human intelligence rather than be in opposition.

The big question society will have to answer is whether it wants computers thinking like humans.

The idea [of the Quantum Computer] is to create a machine that is as intelligence as humans, and probably much more so.

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.

Despite all the hype and excitement about AI, it's still extremely limited today relative to what human intelligence is.

None of us today know how to get computers to learn with the speed and flexibility of a child.

Look, when AIs come up, they're not going to be like us. A self-aware, sentient AI is not going to be like a human.

Most of the value of deep learning today is in narrow domains where you can get a lot of data. Here's one example of something it cannot do: have a meaningful conversation.

Even though chess isn't the toughest thing that computers will tackle for centuries, it stood as a handy symbol for human intelligence. No matter what human-like feat computers perform in the future, the Deep Blue match demands an indelible dot on all timelines of AI progress.

Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.

We really believe that long-term, the way AI will drive is similar to the way humans drive - we don't break the problem down into objects and vision and localization and planning. But how long it will take us to get there is questionable.

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.

Since the beginning of the computer age, there has been immense development in computer intelligence but exactly zero development in computer consciousness.

The only path to build intelligent machines is to enable it with powerful visual intelligence, just like what animals did in evolution.

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 is the science of making machines do things that would require intelligence if done by men.

From one perspective, we're in the early stage in artificial intelligence, but exponentials start out slowly, and then they take off.