Jaan Tallinn Quotes

If there is a small rocket on top of a big one, and if the big one is jettisoned and the small one is ignited, then their speeds are added.

With artificial intelligence, we are summoning the demon. You know all those stories where there's the guy with the pentagram and the holy water, and he's like, yeah, he's sure he can control the demon? Doesn't work out.

Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we'll augment our intelligence.

I thought the best place to advance the AI mission is at Baidu.

You have to teach your algorithm what it can do and what it cannot do because, otherwise, there is a risk that the algorithms will learn the tricks of the old cartels.

Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!

OpenAI is doing important work by releasing tools which promote AI to be developed in the open. Compute power is largely produced by NVIDIA and Intel and still relatively expensive but openly purchasable. Blockchains may be the key final ingredient by providing massive pools of open training data.

I set out to make a sandwich using a robot arm. I put a knife at the end of it and tried to make it spread peanut butter over bread. It didn't work so great.

Besides publishing its own work, the Google AI China Center will also support the AI research community by funding and sponsoring AI conferences and workshops and working closely with the vibrant Chinese AI research community.

People are going to use more and more AI. Acceleration is going to be the path forward for computing. These fundamental trends, I completely believe in them.

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.

I believe in the future of AI changing the world. The question is, who is changing AI? It is really important to bring diverse groups of students and future leaders into the development of AI.

I have long been fond of comparing Workday strategy to the process of sending a rocket to the moon.

You need to have a lot of human judgment involved in the financial industry in terms of risk management, in terms of investment decisions, and things that really allow us to blend the best of technology and the human brain.

The amount of money and industrial energy that has been put into accelerating AI code has meant that there hasn't been as much energy put into thinking about social, economic, ethical frameworks for these systems. We think there's a very urgent need for this to happen faster.

We need to build EQ in our AI systems because, otherwise, they're not going to be as effective as they were designed to be.

There is a lot of work out there to take people out of the loop in things like medical diagnosis. But if you are taking humans out of the loop, you are in danger of ending up with a very cold form of AI that really has no sense of human interest, human emotions, or human values.

Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.

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.

We can't stop the development of smarter and smarter artificial intelligences. So our alternative is to make ourselves smarter so that we always stay one step ahead.

The truth is that behind any AI program that works is a huge amount of, A, human ingenuity and, B, blood, sweat and tears. It's not the kind of thing that suddenly takes off like 'Her' or in 'Ex Machina.'

Making AI more sensitive to the full scope of human thought is no simple task. The solutions are likely to require insights derived from fields beyond computer science, which means programmers will have to learn to collaborate more often with experts in other domains.

We believe behavioral science, cognitive computing, and machine intelligence are essential to a successful, holistic surveillance offering and critical to efficient and effective organizational compliance with an increasingly intricate global regulatory environment.

My own work falls into a subset of AI that is about building artificial emotional intelligence, or Emotion AI for short.

We want to take AI and CIFAR to wonderful new places, where no person, no student, no program has gone before.