There are different types of intelligences in the world. I mean, consider it like a symphony of intelligences like, our intelligence is really good at doing a huge range of jobs, but a dog has a certain sort of intelligence that keeps it more conscious of things than we would be, correct? Dogs possess superhuman hearing capacity. So a dog is more intelligent than individuals for this task. So if we say’intelligence,’ you know, talking about the AlphaGo instance, that algorithm is far better than any human in the world for that task. It s a sort of intelligence. ”’alien,”artificial’ — you know, those words all would kind of describe its ability.

One example would be classifying pictures, which ’s a very generic example, but we could use that example to state , help farmers in parts of South Africa to discover plants which are benign, or which aren’t diseased. Another illustration would be detection. Of finding the needle in the haystack kind. What here does not fit in with all the rest? And that may be applied to fraud detection? If you’ve got thousands and thousands of trades, and one of them is a fraud, and AI can learn’what fraud is’ better than any human could because it’s just so much information. That two, I will find a little more. There’s quite a good deal but I think that…
Like, allow ’ s take AlphaGo, I mean. Let’s say they let, allow ’ s put out an iPhone edition of Go and pick. Let’s create a program that plays Go. Now it is no longer as it stopped learning if we rigidly follow your definition, it s frozen in capability. Yeah, I can play it a thousand times in a match 1001 it is not doing any better.

Place some flesh on those bones. What exactly does it mean to learn… what are people learning to perform?


Sure. I’ve been creating informative videos about AI on YouTube for the past few years and I had the idea about nine weeks ago, to possess this call to action for people who see my movies. And I had this idea of saying,’Allow ’s begin an initiative where I’m not the only one teaching but there are different individuals, and we’ll call ourselves The School of AI and we have one mission that is to teach folks how to use AI technology for the enhancement of humankind for free.’

And therefore we’re a nonprofit initiative. And since we’ve got, what are known as’deans.’ It’s 800 of them spread out throughout the world, around 400 cities internationally. And they’re teaching people in their communities from Harare, Zimbabwe into Zurich. It s a global community. They’re building Schools of AI, their schools, you know, School of AI Barcelona, what are you, and it’s been an amazing, amazing couple of months. It seems like every day that I wake up, I seem in our side station, I see a picture of a lot of students in, say, Mexico City and our school there, our emblem there and it’s like,”Is this real?” But it’s real. Yeah, it s been a lot of fun up to now.
That we’ll do in the latter area.
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I always like to start off with just definitions.

Yeah. So it s not learning. So there has to be some kind of opinions, some kind of response to stimulation, so if that’s out of data or whether that’s a statistical technique based on the amount of wins versus losses, did this work, did this not work? It’s got to have this feedback loop of something outside of it being external to it is being affected by it. In the way that the world is perceived by us, something external to our own minds and that impacts how we act in the world.

Right. So the guideline that we’re pursuing — we’re speaking about the improvement of humankind — would be the 17 sustainable development targets (SDGs) outlined by the United Nations. One of these would be things like that, no poverty, no poverty activity on the weather. Basically trying to meet the basic needs for people both in developed and developing countries so that eventually we can all reach that point of self-actualization and be able to contribute and create and detect, which is what I think we people are best at. Not performing trivial laborious repetitive tasks. This ’s what machines are good for. If we can teach our pupils we call them’wizards,’ when we can instruct our wizards how to utilize a technology to automate all that away, we can get into a world where most people are contributing to the improvement and the advancement of our species whether it’s ’s in science or art, etcetera.
Byron explores issues about artificial intelligence and computers that are alert in his new book The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity.

Concerning this Episode

This ’s a fantastic question. So, AI, Artificial Intelligence is actually… I love to think of it as a giant circle. I’m a very visual person so only imagine we and a circle ’ll tag that circle AI, okay? Inside the circle, there’s a circle, of, and this would be the eye’s subfield. One of these are heuristics. These are approaches.

Do you believe it’s artificial in that it isn’t actually intelligence, it simply looks like it? Is what a computer can it be or does actually intelligent intelligence that is mimicking? Or is there a difference between these two things?

That’s a good question. I mean, the point at or there would be nothing for it to learn are the point where, to get’out there,’ it saturates the whole universe.
That’s a great question. Intelligence is the ability to learn and apply knowledge. And we have a lot of it. Well, a Number of us anyway (just kidding)
Episode 81 of Voices at AI features host Byron Reese and Siraj Raval talking how teaching AI into the world can help improve the quality of life for everyone, and exactly what exactly the footfalls along how they are.
That’s exactly what it is. And yeah, in the concepts behind this technology believe are available yet to a wide audience that is enough. We seeking to make it accessible not only to programmers but to everybody and at School of AI are trying to broaden that audience. You know, moms, dads, grandmas, grandpas, individuals who — just they’re not like the most technical folks — we’re attempting to achieve them and make this something everybody does, because we sincerely feel that this will be part of our lives and eventually everybody will be implementing AI somehow or another.
And it’s the simple fact that we’re facing so many huge problems, daunting problems as a species — existential dangers. And we think we may not be good enough alone to solve these issues. Climate change, such as: lots of individuals think that it’s too late to solve climate change, but we believe that we’ve got a massive number of information available and we believe the answers to some of the hardest problems related to CO2 emission and we could allocate funds for this lie concealed in that data, and using AI we can locate them.
That’s interesting due to AlphaGo — the accent on it being in a position to understand is a pretty large bar. Something similar to my kitty food dish that refills itself when the food is eaten by the cat, that isn’t intelligent on your book? It is not learning anything. Is that true?
Well hold on a minute, however, you are able to ’t state artificial intelligence is a machine which mimics human intellect since you’re just defining the term together with what we’re trying to get at. So what’s intellect?
So [take] the smartest program in the world. Once it s instantiated as a single program, is no more smart. Is that accurate? Since it stopped learning at that point. In mind, in case it ’ s not learning something new it ’ s not as intelligent, although as could be, it may be as sophisticated.

Siraj Raval: Thanks you a lot for getting me, Byron.

Sure. Alright, but to stick to my stiff definition, I’ve stated that intelligence is the capacity to learn and apply knowledge.

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Today my guest is Siraj Raval. He is the director of the School of AI. He holds a degree in computer science from Columbia University. Welcome Siraj, to the series.

No, but I mean, what’s the hint … so it’s the idea that there just aren’t enough people that possess the basic skills to “perform AI” and you’re seeking to fill that gap?
But especially, what exactly are people learning to do such as on a day to day basis?

When Garry Kasparov was defeated by big blue — which has been using heuristics. There’another bubble inside of this larger AI bubble known as machine learning and that’s actually the area of AI now and that’s about learning from information. So there’s heuristics, there’s learning from data — that is system and there’s profound learning also, which will be a bubble inside of machine learning. Thus AI is a really wide term. About what is and people in computer science are arguing? But for me, I like to keep it easy. I think about AI as some other sort of machine that mimics human intellect in some manner.

You’re the Manager of School of AI. What is that? Tell me what you do and the assignment.