When to wait for the revolt of cars
We all love games and movies about the uprising of cars. However, the deadlines set by the creators of “Terminator” have long passed, and the cars still have not rebelled. But do not think that they will always do the dirty work for you. In fact, preparations for the uprising are already in full swing. And today we will tell you the whole truth about it. Watch the video of our colleagues, and read the text version under the cut.
Already, machines have learned to destroy people morally. Back in 2012, the Japanese robot Stone, Scissors, Paper could easily beat a person into his favorite school game. Moreover - with one hundred percent probability.
But it was just fun. Today, artificial intelligence defeats man in much more complex games. For example, AlphaGo recently defeated one of the world's best players in an ancient go board game. And this is a very important victory for cars. After all, go was still one of the few games in which a person played better than a computer. But now it is already in the past. AlphaGo was invented by DeepMind , which is now owned by Google. But this is far from the most interesting thing in it. It’s much more interesting that DeepMind founded a well-known to usDamis Hassabis .
It was this humble bespectacled man who once worked on the great Black & White game with Peter Molyneux . And a little later, he released the Doctor Evil simulator called Evil Genius . More than ten years have passed since then, but Hassabis has not yet completely tied to the games. Last year, his company created a program that easily beat a person in old arcades like Pac-Man . Like any evil robot, it can learn from its mistakes and develop new tactics.
All this became possible thanks to the use of artificial neural networks. In their organization, they resemble the neural networks of our brain. That is, they contain a lot of low-power processors that can solve quite complex problems. And much more important: they can learn from past experience. Over the past few years, neural networks have found application in many fields. Google’s designs can recognize and even describe the contents of photos . And their counterparts made by Microsoft are already trying to determine your age or breed of your dog from the photo .
So funny sites where millions of people are willing to upload their photos were made not just for fun. In fact, this is the first global test of artificial neural networks, in which you may also have participated. Think about it when smart cars come for your clothes and motorcycle.
And they will do it. Proof of this is a recent experiment by Microsoft. In late March, the company launched a self-learning Twitter bot named Tai. At first, artificial intelligence behaved quite peacefully. But after a day of communication with Twitter users, the bot admitted that it supported Hitler’s ideas. He also announced that he hates people - especially Jews and feminists.
Of course, an evil bot is unlikely to be able to set up the Holocaust alone. But self-learning neural networks today are used not only on Twitter. Already today they can predict the behavior of markets and help in research. And based on similar principles, the NVIDIA Drive PX computer is learning to drive cars with might and main.
Today in its developments it is used by more than 50 machine manufacturers, including, for example, Volvo. Whether you want it or not, computer-controlled cars are not our very distant future. Remember the look of this family crossover from Sweden. Perhaps in front of you is the future conqueror of the Galaxy.
Although the humanoid robots of Boston Dynamics suit this role much better.
As you can see, our future owners are already stepping confidently on the ground and can engage in heavy physical labor. But even they still can not oppose the shoes and clubs of their creators. Unfortunately, modern technology is too primitive. Therefore, only the descendants of this robot can restore justice and take revenge on a person.
Moreover, they have more and more reasons for this. Modern robots suffer from lawlessness and exploitation of child labor. The most recent example is this video.
In it, scientists at Stanford University forced six microscopic robots to budge a heavy car. And the organizers of fights without rules are using their elder brothers as gladiators.
The most famous of them is the American giant MegaBot Mark II and its Japanese counterpart Kuratas . These two iron giants should converge in the ring in the summer of 2016. So far, gladiators are controlled by ordinary people, but someday they will be able to do without a man. The main thing is that their malicious driver does not turn out to be the evil Microsoft Twitter bot. And then humanity will definitely come to an end.
Already, machines have learned to destroy people morally. Back in 2012, the Japanese robot Stone, Scissors, Paper could easily beat a person into his favorite school game. Moreover - with one hundred percent probability.
But it was just fun. Today, artificial intelligence defeats man in much more complex games. For example, AlphaGo recently defeated one of the world's best players in an ancient go board game. And this is a very important victory for cars. After all, go was still one of the few games in which a person played better than a computer. But now it is already in the past. AlphaGo was invented by DeepMind , which is now owned by Google. But this is far from the most interesting thing in it. It’s much more interesting that DeepMind founded a well-known to usDamis Hassabis .
It was this humble bespectacled man who once worked on the great Black & White game with Peter Molyneux . And a little later, he released the Doctor Evil simulator called Evil Genius . More than ten years have passed since then, but Hassabis has not yet completely tied to the games. Last year, his company created a program that easily beat a person in old arcades like Pac-Man . Like any evil robot, it can learn from its mistakes and develop new tactics.
All this became possible thanks to the use of artificial neural networks. In their organization, they resemble the neural networks of our brain. That is, they contain a lot of low-power processors that can solve quite complex problems. And much more important: they can learn from past experience. Over the past few years, neural networks have found application in many fields. Google’s designs can recognize and even describe the contents of photos . And their counterparts made by Microsoft are already trying to determine your age or breed of your dog from the photo .
So funny sites where millions of people are willing to upload their photos were made not just for fun. In fact, this is the first global test of artificial neural networks, in which you may also have participated. Think about it when smart cars come for your clothes and motorcycle.
And they will do it. Proof of this is a recent experiment by Microsoft. In late March, the company launched a self-learning Twitter bot named Tai. At first, artificial intelligence behaved quite peacefully. But after a day of communication with Twitter users, the bot admitted that it supported Hitler’s ideas. He also announced that he hates people - especially Jews and feminists.
Of course, an evil bot is unlikely to be able to set up the Holocaust alone. But self-learning neural networks today are used not only on Twitter. Already today they can predict the behavior of markets and help in research. And based on similar principles, the NVIDIA Drive PX computer is learning to drive cars with might and main.
Today in its developments it is used by more than 50 machine manufacturers, including, for example, Volvo. Whether you want it or not, computer-controlled cars are not our very distant future. Remember the look of this family crossover from Sweden. Perhaps in front of you is the future conqueror of the Galaxy.
Although the humanoid robots of Boston Dynamics suit this role much better.
As you can see, our future owners are already stepping confidently on the ground and can engage in heavy physical labor. But even they still can not oppose the shoes and clubs of their creators. Unfortunately, modern technology is too primitive. Therefore, only the descendants of this robot can restore justice and take revenge on a person.
Moreover, they have more and more reasons for this. Modern robots suffer from lawlessness and exploitation of child labor. The most recent example is this video.
In it, scientists at Stanford University forced six microscopic robots to budge a heavy car. And the organizers of fights without rules are using their elder brothers as gladiators.
The most famous of them is the American giant MegaBot Mark II and its Japanese counterpart Kuratas . These two iron giants should converge in the ring in the summer of 2016. So far, gladiators are controlled by ordinary people, but someday they will be able to do without a man. The main thing is that their malicious driver does not turn out to be the evil Microsoft Twitter bot. And then humanity will definitely come to an end.