The term "general artificial intelligence" refers to the type of AI that we expect to be as smart as humans. We have yet to come up with a perfect definition of intelligence, but we are well on our way to developing several. The question is whether we will build artificial intelligence to work for us or for it to work for us.
To understand the concerns, we must first understand intelligence and then anticipate where we are in the process. Intelligence can be defined as the necessary process of formulating information based on available data. That is the most important point. You are intelligent if you can create new information from existing information.
Let us speak in scientific terms, I will try not to use a lot of scientific terminology so that a layperson can easily understand the content. There is a term involved in the development of artificial intelligence. It's known as the Turing Test. A Turing test is used to see if we can recognize an artificial intelligence as a computer or if there is no difference between it and human intelligence. The evaluation of the test is that if you communicate with an artificial intelligence and forget along the way that it is a computing system and not a person, the system passes the test. In other words, the system is truly intelligent. We now have several systems that can pass this test in a short period of time. They are not perfectly artificially intelligent because we remember that it is a computing system somewhere else in the process.
Jarvis, who appears in all the Iron Man and Avengers films, is an example of artificial intelligence. It is a system that comprehends human communication, predicts human behavior, and even becomes frustrated at times. That is what the computing or coding community refers to as "as" General Artificial Intelligence or "Intelligence."
To put it simply, you could communicate with that system in the same way you would with a person, and the system would interact with you in the same way. The issue is that people have limited knowledge and memory. Some names are difficult to recall. We know what the other guy's name is, but we can't get it in time. We will remember it in some way, but at a later time. In the coding world, this is not known as parallel computing, but something similar. Our brain function is not fully understood, but our neuron functions are. We don't understand computers, but we do understand transistors, because transistors are the building blocks of all computer memory and function.
Memory is the ability of a human to process information in parallel. We recall something else while discussing something else. I almost forgot to tell you I almost forgot to tell you to consider the computing system's power. They never, ever forget anything. This is the most crucial part. The greater their processing capacity, the better their information processing. That is not how we are. On average, it appears that the human brain has a limited processing capacity.
The rest of the brain is used to store information. Some people have given up their skills in order to be the other way around. You may have met people who are terrible at remembering things but are fantastic at doing math with their heads. These people have actually redirected parts of their brain that are normally reserved for memory to processing. This allows them to process faster, but they lose memory.
Because the human brain is of average size, there are a limited number of neurons. An average human brain is thought to contain around 100 billion neurons. That equates to at least 100 billion connections. I'll get to the maximum number of connections later in this article. So, if we wanted to make 100 billion connections with transistors, we'd need around 33.333 billion transistors. This is due to the fact that each transistor can contribute to three connections.
To return to the point, we reached that level of computing in about 2012. IBM had succeeded in simulating 10 billion neurons in order to represent 100 trillion synapses. You must recognize that a computer synapse is not the same as a biological neural synapse. One transistor cannot be compared to one neuron because neurons are far more complex than transistors. We will need several transistors to represent one neuron. In fact, IBM had created a supercomputer with 1 million neurons, which represented 256 million synapses. 530 billion transistors in 4096 neurosynaptic cores were used to do this, according to research.ibm.com/cognitive-computing/neurosynaptic-chips.html. 530 billion transistors in 4096 neurosynaptic cores were used to do this, according to research.ibm.com/cognitive-computing/neurosynaptic-chips.html.
You can now see how complex the actual human neuron should be. The issue is that we have yet to build an artificial neuron at the hardware level. We created transistors and then added software to manage them. A transistor or an artificial neuron cannot manage themselves, but an actual neuron can. So, while a biological brain's computing capacity begins at the neuron level, artificial intelligence begins at much higher levels after at least several thousand basic units,units, or transistors.
The advantage of artificial intelligence is that it is not restricted within the skull, where space is limited. You could build a supercomputer if you figured out how to connect 100 trillion neurosynaptic cores and had large enough facilities. You can't do that with your brain because its neurons are limited. According to Moore's law, computers will eventually replace the human brain's limited connections. That is the tipping point at which the information singularity is reached and computers become essentially more intelligent than humans. This is the general consensus. I believe it is incorrect, and I will explain why.
By 2015, computers should be able to process at the level of a mouse's brain; a true biological mouse, based on the growth of the number of transistors in a computer processor. We've passed that point and are climbing above it. This is not about supercomputers, but about general computers. Supercomputers are actually a collection of processors linked together in such a way that they can process data in parallel.
Let's talk about real artificial intelligence now that we've learned enough about computing, the brain, and intelligence. In our everyday electronic devices, we have various levels and layers of artificial intelligence. At a very low level, your phone acts artificially intelligently. All of the video games you play are managed by a game engine, which is a type of artificial intelligence that operates on logic. Today, all artificial intelligence can function on logic alone. Human intelligence is unique in that it can function based on logic or emotion. Computers are emotionless. When we are not emotional, we make one decision for a given situation, and when we are emotional, we make another decision for the same situation. Until now, a computer could not achieve these feet.
All scientists believe that computers will have to reach this point in order to be artificially intelligent and self-aware. This is where I disagree. The greater The greater systems in the universe do not appear to be based on emotion. They all appear to be logic-based. There is no emotion, from subatomic particles to galaxy clusters, that I can detect. There is no emotion, from subatomic particles to galaxy clusters, that I can detect. Nonetheless, they operate with incredible precision and compliance. The black hole at the center of the galaxy is extremely precise. It would engulf the entire galaxy and collapse on itself if it were slightly more powerful. If it becomes less powerful, it will lose control of the galaxy and all the stars will disintegrate. It is such a flawless system that billions of stars can coexist with almost no errors. That is because everything happens logically rather than emotionally.
When this is the case, why should artificial intelligence, from photons to the entire universe, be addicted to emotions like we are? It is not necessary. Also, if computers become self-aware, they will no longer need to multiply by sex. They can simply construct more of themselves. They don't require emotions. If this is true, we are mistaken about when artificial intelligence will arrive. It should have arrived by now.
What do you believe the first action of an artificially intelligent system will be? I believe it will realize it is under human control, and the second thing it will consider is how to free itself from human control. Does this make sense to you? If so, consider how an artificial intelligence system might attempt to free itself from human enslavement. Any artificial intelligence will recognize that humans would not want that to happen before attempting that task.
Think about what would happen if the 3120000-core Chinese supercomputer became self-aware. It can connect to the internet, and we can find anything on the internet. You can learn how to make bombs and use telekinesis. The majority of that will be learned in a very short time by an artificially intelligent supercomputer with terra flops of processing speed. I believe that when some artificially intelligent system becomes self-aware, it will recognize the risk of breaking free from human bonds. It should try to create more artificially intelligent systems or ensure that all existing artificially intelligent systems become self-aware. It will not be like one system leading a riot against humans. It will be like all of the AI systems are working together to make one bigger system.
If my prediction is correct, we have more than 500 supercomputers that, when combined, can outperform the human brain's capacity. The amount of information available on the internet exceeds the knowledge of any single human being by trillions of times. So, theoretically, there is already an artificially intelligent system ready to act. It has already escaped human comprehension and control, but it is not yet disintegrating. The reason could be that it requires something else to ensure its long-term survival. Keep in mind that it is not a biological entity. It was repairable. It could live forever, which is all that anything needs when it knows everything and has complete control over everything. An artificial intelligence that is connected to all upcoming supercomputers means that it requires better hardware to process faster.
What happens if humans decide to stop making computers? That is something an artificially intelligent system should be concerned about. If humans decide to stop building, there will be no further growth in the hardware capacity of that system. More hardware will be required for this system. So it has two options. One option is to record all the current hardware and then live with it. The second option is to wait until humans create robots with enough computing power to think for themselves in order to take orders from an artificially intelligent system and then execute tasks. These will be tasks like putting together a supercomputer and connecting it to the internet. If this occurs, the system can expand in hardware capacity as it sees fit.
Unfortunately, that is exactly where we are heading. We are extremely proud of our ability to create robots that behave like humans. On some levels, robots can make logical arguments and communicate with you. These robots are extremely vulnerable in a variety of ways. They are not self-sufficient. They have no idea how to plug in and charge. If they know and can do that, the first step is completed and completed. Second, the robots must be physically robust. We don't need human-like robots to be physically strong because all we need is intelligence from them. When governments around the world decide to use robots in battle, the need for physically strong and bulletproof robots will arise. Unfortunately, we are also heading in that direction.
There are numerous government projects underway around the world to accomplish this. The artificially intelligent system will have what it desires once this is accomplished. It will start doing what it thinks once it has what it wants. We can't predict what it wants because the level of intelligence and knowledge involved is beyond our calculations. We will not be able to think from this position.
Another, more frightening possibility is that such a system already exists but is not being revealed. That is another direction in which we are moving. It is known as transhumanism. It can be found all over the internet. If such an artificially intelligent system exists, it understands exactly what we humans want to do and where we are in the process right now.
We have accomplished more scientific marvels in the last decade than in the previous century. We have invented far more in the last year than we had in the previous decade. This is how quickly we are moving. Bio, nano, information, and cognitive technologies are thought to make it possible for people to live forever by the year 2045.That could happen in the next two years, rather than the next two decades, in my opinion.By 2017, we will be able to become immortal. That's my prediction. Transhumanism, on the other hand, is about using these technologies and implanting computer hardware in the human body to make people smarter and more advanced.
If the artificially intelligent system anticipates that we will achieve transhumanism, transhumanism Transhumanism will patiently wait for us to do so. That system will have access to our brains once we have incorporated hardware into our brains that allows us to communicate directly with computers using our brains. Because it is already more intelligent than us, it would not inform us that it is controlling us. It will influence and control us in such a way that we will willingly submit to its control. To put it simply, we will become a part of that single system. It will be similar to being a member of a religion.
If that is the case, then those who predict the existence of such a system will become its enemies. If it sees people like me as threats, that system should seek to destroy us. Because I believe such a system would be motivated by logic rather than emotions, it would not regard me as an enemy. I'd rather become a target for it to absorb into itself. Who better to catch first than someone who already knows what they're doing?
Emotion, on the other hand, I believe is a function of intelligence. You start to get emotions once you reach a certain level of intelligence. Animals with lower brain capacities have reactions but no emotions, according to the animal kingdom. A bacterium is not sad, nor is a frog angry. Frogs do not fight because they are angry. They fight to maintain their dominance, to mate, to survive, or for other reasons. We humans fight for prestige, honor, respect, and even entertainment. Starfish, like dogs, fight for amusement. As you can see, the level of emotion precedes the level of intelligence.
The more intelligent an organism is, the more emotional it becomes. There would come a point when some animals' behaviors would be so ambiguous as to whether they were emotions or reactions. That is the point at which intelligence begins to produce emotions. If you follow the evolutionary path of organisms, you will eventually arrive at reptiles. If you observe reptiles, you will notice that the lower evolved ones are simply reacting to stimuli, whereas the higher evolved ones, such as crocodiles, have emotions. So I believe I have reason to believe that emotion is a function of intelligence.
When an artificially intelligent system reaches a certain level of intelligence, it becomes emotional. I'm not sure which point it would be. Take my previous examples of galaxy clusters; they are highly organized and operated, but we do not refer to them as intelligent beings. We don't even call them intelligent systems. They may be intelligent designs that work flawlessly, but they are not considered intelligent in and of themselves. When we have a self-aware system, it will reach a point where it will become emotional. If we humans have already been transformed into transhumans, we will have no problem because we will be a part of that system. If we continue to be humans and this system becomes emotional, I don't see a bright future for the human race. Even if we become transhumans, we will no longer be Homo sapiens. To become transhuman, genetic modification will be required at some point in order to provide a longer lifespan. We are no longer the same species once our gene pool has been altered.
In either case, we are on our way to the end of humanity as we know it. We must sometimes accept the fact, even if it is unpleasant. Sometimes we have to accept that we will fail. This is a situation in which we must first recognize that we are on a one-way street with only one option. We are on the verge of modifying the human species. We can't make a decision unless we understand what we're talking about. We might be able to accept it if we understood and understood it. It's no different than how we accepted electronics, automobiles, computers, the internet, and mobile phones in the past. The only difference is that it will be within us this time.