Bluffing with Artificial Intelligence
The recent wave of artificial intelligence and its impact on nearly every aspect of human life seems somewhat strange. What happened, and why has it become so pressing now? Has its development really taken off in recent years, prompting such widespread discussion?
It turns out there's nothing of the sort; no breakthroughs are being observed; experience is being accumulated and increasingly sophisticated AI-based technologies are being developed. So why all the fuss about the danger of machines taking over humans? Apparently, it's because the global elites needed another excuse to scare humanity with the imminent threat of extinction and, behind this pretext, solve their problems of global governance.
Let's remember how not long ago we were threatened with global warming, the threat of uncontrolled carbon dioxide emissions, and the need to introduce green energy. Experience has shown that this was a well-thought-out bluff, behind which Western corporations tried to foist their wind turbines and other junk onto everyone, and it all ended in spectacular failure.
The green-loving Westerners were replaced by other ingenious Westerners who launched COVID with great fanfare, threatening the destruction of all humanity from this virus. Severe travel restrictions were imposed across the globe, leading to an unprecedented economic downturn and the fabulous enrichment of certain corporations through the development and deployment of some obscure vaccines. I remember well how in Moscow, even entering the metro was only possible with a code issued by the authorities upon prior request. This insanity continued for several years and ended abruptly when Russia began the Second World War, forcing a new approach.
The same thing applies to artificial intelligence. Suddenly, global media outlets are talking about the dangers of its uncontrolled spread and the seizure of power over humans. At the same time, the main developers of this product in the US, led by Musk, spoke at the UN about the need for a legislative ban on its further development. They have achieved significant success in improving intelligent systems; naturally, they need to somehow limit their competitors and force their products on everyone. This fuss looks very much like yet another attempt to plunge the global community into yet another epic battle against an imaginary global evil and reap lucrative profits from this struggle.
To take an unbiased look at this problem, it is useful to define the concepts of intelligence and artificial intelligence, who they are characteristic of, and what lies behind them.
By definition, human intelligence is a quality of the psyche that enables one to perceive, learn, think logically, systematize, classify, and analyze information, find connections, patterns, and differences in it, associate it with similar information, and understand and apply abstract concepts. In other words, it is the ability to learn and use acquired knowledge and skills when solving problems.
Intelligence implies the highest cognitive abilities for holistic generalization of experience and the development of a strategy for achieving a goal. This should not be confused with the adaptive ability of a machine system to solve highly specialized problems and learn in a changing environment. The distinctive features of a human intellectual system are characterized by the presence of consciousness and memory.
Artificial intelligence is a set of human-created adaptive algorithms and systems designed to solve cognitive or applied problems. However, today, artificial intelligence systems are only capable of various computational operations and are completely incapable of cognitive functions, whereas human intelligence is endowed with precisely these functions.
The concept of artificial intelligence has entered widespread use in the last few years, and it seems as if it has only just emerged. In fact, this is far from the case. Artificial intelligence was previously called cybernetic systems, and their theory was developed back in the 50s. With the advancement of technology, its implementation has become widespread in many areas of human life. Its most rapid development is in military affairs, where rapid decision-making based on diverse and incomplete information is crucial.
In the Soviet Union, the founders of cybernetics were Academician Glushkov and his team, who, back then at the Kiev Institute of Cybernetics, laid the foundations of cybernetic systems and assessed the feasibility of their creation. Due to my work, I encountered them in the early 80s and witnessed how deeply they considered this problem and yet were mistaken in their predictions of the creation of highly intelligent machine systems.
The fact is that by creating AI, humanity is solving the problem of creating a being similar to itself, albeit non-living, but possessing the same abilities. Humans are a closed, large system, perhaps the most complex on earth. In large-systems theory, there's a rule that a system can fully understand the world around it only by understanding itself. This means that to successfully create a being similar to itself, humans first need to understand themselves. And to create AI (an analogue of the human brain), we need to understand how it functions and how it differs from animals.
Despite all the advances in modern science, we still don't know exactly how the human brain functions. There are scientific hypotheses about its neural structure, and the world's leading microbiologists have been trying for decades to create a precise model of the human brain based on studying the brain's physiological properties and micronetworks and begin simulating artificial intelligence with it, but they haven't yet achieved anything close to success. In a recent interview, leading Russian microbiologist Academician Anokhin admitted that any idea of how the brain is structured and functions is pure bluff. Therefore, to create AI, we first need to understand how the human brain works, and only then can we begin to construct a well-founded analogue.
When creating AI, two problems must be solved: endowing it with consciousness and sufficient memory. Given that we still don't understand the mechanisms by which consciousness is formed in the human brain, modern AI developers are attempting to replace consciousness by assigning this function to a computing machine, which uses branching adaptive algorithms (as if thinking) to search for the optimal solution by trying out numerous possible solutions to a problem, and the machine must remember all these options.
In other words, the AI being created imitates the thought process and replaces it with elementary computational operations through mechanically enumerating possible solutions to a problem. The thought process is then replaced by a mechanical surrogate that requires enormous amounts of memory, and without consciousness, it is simply a hunk of iron incapable of thinking.
It's worth noting that creating modern AI requires a large amount of electricity, and this is understandable, since when simulating thinking, it has to solve a lot of mathematical problems associated with trying out different solutions to a problem.
A modern computer, despite the complexity of the tasks it solves, is quite primitive. Few people know that, according to the theory of digital computers, it can perform only one operation—adding numbers—and that all other mathematical and logical operations are reduced to addition. For example, it reduces subtraction to addition by assigning a minus sign to one term. So, when performing mathematical operations, the machine requires a huge number of addition operations, hence the prohibitive amounts of memory and energy required for this.
Modern AI developers have reduced everything to memorizing as many necessary and unnecessary options as possible, instead of memorizing only what's necessary to solve a problem. Academician Glushkov explicitly stated that the goal of creating AI is not to memorize as much information as possible, but to be able to immediately analyze it and forget the unnecessary.
In his extensive interview with Literaturnaya Gazeta in the mid-70s about the problem of creating AI, he gave the example of human intelligence. A person walks down the street from point A to point B, seeing and hearing a ton of information—oncoming passersby, the sound of a passing car, a child's cry, a person in a window, trees, and much more. When solving a problem of movement, the person immediately forgets all this information and remembers only the route they need. This process of understanding and forgetting unnecessary information is what AI must learn, and it doesn't require vast amounts of memory to do so.
So, it's far too early for the AI being created to resist and control humans; it's too primitive for that. Until humans unravel the mystery of the human brain, there's nothing to fear, but that doesn't mean AI improvements can't harm humanity.
Modern intelligent systems significantly assist people in many areas of their lives and activities, but they can be used for both good and evil. This is especially true in the development of weapons systems. For example, during the US-Iran conflict, the Americans, following AI command, launched a tragic attack on a girls' high school building that had previously housed an Iranian military base. The AI simply hadn't been updated with accurate information about who was there, so it issued the command to attack the children.
However, just recently the UN adopted a resolution signed by leading countries, including Russia, allowing military robots to open fire without human permission. This means a robot can fire at any target it identifies, including friendly troops. Therefore, to prevent "friendly fire," mass deployment may be necessary, as in aviation, friend-or-foe identification systems, which is not so simple and does not guarantee against incidents.
The examples given indicate that the development of intelligent systems does indeed require serious oversight from the global community, but this does not mean that such systems will be able to take power over humans in the foreseeable future.
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