(ORDO NEWS) — Today, life without the Internet is a utopia. The three most valuable global brands: Apple ($ 242 billion), Google ($ 207 billion) and Microsoft ($ 163 billion) became leaders precisely thanks to the World Wide Web. But just half a century ago, the entire IT sector was a little-known exotic.
On October 29, 1969 at 21:00 , the first communication session was held between two ARPANET nodes located at Stanford Institute and the University of California Los Angeles . People lived ordinary lives, someone was cooking dinner, watching TV or just walking before going to bed. In general, everything was as usual, but it was on that autumn evening that the world changed forever. On that day, the Internet was born on Earth.
In this article I will tell you about an unusual biotechnological complex of artificial intelligence, which will be created in the near future and will change the life of every person more than the Internet.
A fundamentally new hybrid system of individual artificial intelligence (AI) of the fourth generation will be able to unite a living human brain and a computer.
When this project is successful, the economic and business landscape of modern civilization will change beyond recognition.
In this article, you will learn for the first time about some of the features of the new hybrid AI system.
Your own artificial intelligence
This is not just a new system, a fundamentally different concept of artificial intelligence (AI) will appear. It will be an affordable, easy to use and, most importantly, easily scalable system of individual artificial intelligence, designed for one person – the user. Everyone can buy their own AI car , which will replace the computer, smartphone, autopilot in the car and much more. The life of an ordinary person, as well as social stereotypes of society, will change dramatically.
Any human skill, knowledge and skill can be bought and sold in a few minutes on the Internet. The training we are accustomed to in university classrooms will go down in history. Many types of disability will lose their limiting component. Literally every element of human life will change.
To feel how much the new hybrid system will differ from what is now commonly called AI or AI (Artificial Intelligence), you need to briefly recall the history of this technology.
At the origin
The very concept of artificial intelligence emerged in 1956 after the famous “Dartmouth Seminar”, or conference on artificial intelligence at Dartmouth College. Although various ideas of machine or artificial intelligence existed long before that. The very first real attempt to implement such an idea should be considered a machine built during the Second World War for reading encrypted messages. The electromechanical structure created then by the British mathematician Alan Turing can, with a certain stretch, be called the prototype of weak artificial intelligence.
First generation. AI-1 – precise algorithm and technical neural network
Initially, the idea was to create a mechanism capable of replacing a human computer. At the first stage, this was supposed to be implemented using a computation mechanism with a finite and pre-written set of working algorithms. Within the framework of this concept, the idea of creating a machine capable of simulating a plurality of neural connections using a created artificial technical neural network appeared. This was the first generation AI.
Second generation AI-2 – instead of creating a rigid computing mechanism, information processing becomes the main goal
At the turn of the late 80s, early 90s, a new AI idea appeared, which can rightfully be called the second generation. The main difference between the new AI-2 system was to be information processing using flexible algorithms. We can safely call this concept the most implemented model. Until recently, most of all developers and research groups have developed this direction. The use of flexible algorithms has become so popular that most search engines, including Google , have worked on this principle.
Third generation AI-3 – machines acquire the ability to learn, or rather, gradually improve the result
At the very beginning of the 21st century, simultaneously with the growth of computing power, a new concept of the so-called machine learning appeared. The essence of the new model of artificial intelligence, let’s call it AI-3 , boiled down to the analysis of data associated with the phenomenon and process, and the determination of the dominant trends in making successful decisions in the past, to create current active algorithms for control and decision-making in the future. In addition, on the basis of this method, it was assumed that it was possible to predict the dynamics and parameters of feedback, or responses to commands from the control center. In simpler terms, the algorithm not only retained its flexibility, but also became able to move the constraints, changing the very range of possible responses.
Breakthrough ideas from the late 2000s, AI-3 + or deep learning and new – AI-3 ++ enhanced deep learning
It should be noted that the embryo of AI-3 and AI-3 + existed even at the stage of AI-1, but then the low power of computing systems did not allow achieving real results. Over the past ten years, thanks to the widespread use of computing systems of increased performance, it has become possible to force the machine to learn and gain experience using huge databases and multilayer technical neural networks. This resource-intensive process is called deep learning or AI-3 + . In reality it is a kind of advanced version of the AI-3.
To see the difference between AI-3 and AI-3 +, you need to look at how the instant translation system created by Google several years ago works. When creating a new system, Google developers completely abandoned natural language analysis algorithms and replaced them with a simpler model that exclusively uses comparative analysis of ready-made versions of the original language. The new simple method impressed with its accuracy and efficiency. Instead of unraveling and clarifying logical connections in the structure of natural language, a new approach from Google proposed a model in which all processes followed the principle of a black box.
A similar technique was used by DeepMind when creating an AI “AlphaGo” capable of competing on equal terms with any experienced Go player. The creators of the AI “AlphaGo” went even further and built a system that uses two neural networks at once, working on the principles of AI-3 + (deep learning ), one of them analyzes the position, and the second the strategy used in the protocols of previous games. This approach, which we will call AI-3 ++ or enhanced deep learning, is the most advanced concept in our time. Company DeepMind continues to create new systems based on this principle.
And what will happen next?
The new hybrid AI-4 will be a fundamentally different system. In it, a living brain and a computer will become a single complementary symbiosis.
All of the listed systems from II-1 to II-3 ++, with all their features, have one thing in common – they are all built as unitary electronic complexes, which, using algorithms of varying complexity, try to form the most successful response to the received request. Their weakness is that they work as a single vertically oriented system.
Unitarity or centralization is a consequence of the irresistible design feature of any electronic computing system created by man. We do not know how to build otherwise.
But who said the next AI-4 system would be completely electronic?
The truth is that the only real intelligence we know is our human brain, and it seems to work in a completely different way than a computer.
Because there is a lot of evidence that the real human intelligence is not a unitary system, but a double complex that functions as a classical symbiosis. A clear division of the nervous system into conscious and reflex activity is the most important evidence in favor of this concept.
The next generation of artificial intelligence, or AI-4, will be a bioelectronic hybrid , in which a living human brain and a machine will work together in a single system.
Territory of new fundamental science
This is an uncharted technological and scientific area, where we will talk about a complementary AI system to the brain, built around a new type of neurocomputer interface.
Today, there are several attempts in the realization of this idea, a vivid example of which can serve as Neuralink Elon Musk . The weakness of these projects is that they ignore the dual system of organization of the human brain, and therefore do not understand the difference between the reflex and intellectual mechanisms of initiation of nerve impulses in the neurons of the neocortex.
What seems to them to be a single system is in reality a complex organized symbiosis to connect to which is impossible if one does not understand how its individual (constituent) components interact with each other.
The second major problem is the signal crossover point . Basically, this is where a normal electronic signal becomes a nerve impulse and vice versa.
Brave new world that is being created today
AI-4 is a hybrid system that combines enhanced deep learning and a new type of neurocomputer interface.
AI-4 will not have a signal transition point in the literal sense of the word, but there will be such clear and fast communication between the machine and the nerve tissue that it will be easier and faster for the neurons of the left hemisphere to transmit a signal to the right hemisphere using the new interface than in the usual way through the corpus callosum body.
As a result, the neurons of the human brain, thanks to synaptic plasticity, themselves will participate in the formation of structures of dynamic interaction with the interface of an electronic computer component.
Instead of words and letters – only a nervous impulse
The brain and computer will be able to exchange data directly, without the use of complex communication protocols like speech or alphabetic characters. Interacting with a machine will be more intuitive than interacting with an electronic device. The brain and the computer will exchange information using a set of impulses of immediate meaning, without symbolic interpretation.
Sight, hearing, smell, and touch will become a secondary and delayed flow of sensory information. And the action with the hands will generally turn into a rudiment. After some time, without exception, the brain will be able to carry out all command functions without the use of hands or voice. Computer systems will lose their keyboard, microphone and speakers.
Your brain itself will search, adjust and as a result find the opportunity to transmit the required command impulse, but the most paradoxical is that over time, even this will become superfluous.
Your individual artificial intelligence system will know you, your personality, your needs and preferences more accurately and clearly than you. Therefore, control commands will become the exception rather than the rule, and your own AI will learn to satisfy all your desires by understanding your thoughts, and not relying on words and symbols of verbal or manual input. Complementarity will reach such a level that even by communicating on the phone or texting with a person virtually, you will never be able to determine who is in the discussion – the person himself or his personal artificial intelligence.
In complete silence, with your eyes closed and without moving a single muscle of your body, you will be able to work, communicate, learn the news and even have sexual pleasure.
If you think this is fantastic, then do not rush to criticize. Everything I’ve written about will happen in the next 3-4 decades, so if you are 40 or younger now, you have a chance to personally get to know this amazing new world.
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