Peter Thiel Quotes

People are good at intuition, living our lives. What are computers good at? Memory.

If computers remain far worse than us at image recognition, a certain over-confident combination of man and machine can elsewhere take inaccuracy to a whole new level.

People are good at figuring out what's attractive, and computers are good at quickly searching and finding. You put them together, and bang!

Knowledge created a new culture of business derived from the information gathering and analysis capabilities of first the mainframe and then the PC.

The purpose of computing is insight, not numbers.

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

The real danger is not that computers will begin to think like men, but that men will begin to think like computers.

The computer is not, in our opinion, a good model of the mind, but it is as the trumpet is to the orchestra - you really need it. And so, we have very massive simulations in computers because the problem is, of course, very complex.

When human judgment and big data intersect there are some funny things that happen.

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

People assume that computers will do everything that humans do. Not good. People are different from each other and they are all really different from computers.

There will always be plenty of things to compute in the detailed affairs of millions of people doing complicated things.

The computer is incredibly fast, accurate, and stupid. Man is unbelievably slow, inaccurate, and brilliant. The marriage of the two is a force beyond calculation.

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

I think we are definitely suffering from an information overload, but I believe that there is going to be better and better ways of organizing that information and processing it so that it will enhance your daily life.

Machine learning is the science of getting computers to learn without being explicitly programmed.

Watson augments human decision-making because it isn't governed by human boundaries. It draws together all this information and forms hypotheses, millions of them, and then tests them with all the data it can find. It learns over time what data is reliable, and that's part of its learning process.

Deep learning is a very capital-intensive area, and it's rare to find a company with both the necessary resources and a company structure where things can get done without having to pass through too many channels and committee meetings.

We're making progress, but getting machines to replicate our ability to perceive and manipulate the world remains incredibly hard.

We are approaching a time when human intelligence alone will be incapable of managing a highly advanced society. Existing technologies are rapidly exceeding the human capacity to absorb and process information.

Google seems to be more intelligent than some people.

In our age of individualism, we see computers as ways through which we can express our individuality. But the truth is that the computers are really good at spotting the very opposite. The computers can see how similar we are, and they then have the ability to agglomerate us together into groups that have the same behaviours.

Data is a tool for enhancing intuition.

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.

In my view, the fact that computers caught up to humans and completely dominate humans in chess and some other domains already, that says there's evidence that, yes, in principle, they can be better programmers than humans.