Luis von Ahn Quotes

I don't look at computers as opponents. For me it is much more interesting to beat humans.

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

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.

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.

When humans team up with computers to play chess, the humans who do best are not necessarily the strongest players. They're the ones who are modest and who know when to listen to the computer. Often, what the human adds is knowledge of when the computer needs to look more deeply.

We've seen computers play chess and beat grand masters. We've seen computers drive a car across a desert. But interestingly, playing chess is easy, but having a conversation about nothing is really difficult for a computer.

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.

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

As a science fiction fan, I had always assumed that when computers supplemented our intelligence, it would be because we outsourced some of our memory to them. We would ask questions, and our machines would give oracular - or supremely practical - replies.

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.

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.

The attribution of intelligence to machines, crowds of fragments, or other nerd deities obscures more than it illuminates. When people are told that a computer is intelligent, they become prone to changing themselves in order to make the computer appear to work better, instead of demanding that the computer be changed to become more useful.

As a society, we are underinvesting resources in research on the societal implications of AI technologies.

Human intelligence trumps electronic or signals intelligence every time.

Man is going to be displaced altogether as a specialist by the computer. Man himself is being forced to reestablish, employ, and enjoy his innate "comprehensivity.

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

Venture capitalists are pouring billions of dollars into commercial surveillance satellites, unmanned aerial vehicles, social media analytics, biometric technologies, and cyberdefenses to meet surging market demand. Heavy competition is driving down the cost of and improving the information available to individuals, businesses, and governments.

The best people in this industry [technology] are the people who are trying to solve big problems.

What the computer in virtual reality enables us to do is to recalibrate ourselves so that we can start seeing those pieces of information that are invisible to us but have become important for us to understand.

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

Everyone talks about how much data's in the world. Except, actually, 80% of it is pretty blind to computers. I mean, it can store it. But if it's a movie, a poem, a song, it doesn't know what it's actually saying or doing.

I am now very interested in computer technology as it is used currently to make games. I think this technology is very powerful and could be used in new ways.

A computer is a wonderful thing, but it's cold, and what comes out of it is sort of cold.

As technology increasingly takes over knowledge-based work, the cognitive skills that are central to today's education systems will remain important; but behavioral and non-cognitive skills necessary for collaboration, innovation, and problem solving will become essential as well.

Computers seem a little too adaptively flexible, like the strange natives, odd societies, and head cases we study in the social sciences. There's more opposable thumb in the digital world than I care for; it's awfully close to human.