People like to mention that the brain has billions of neurons and how that is completely out of reach for current technology... But that neuron count includes n

People like to mention that the brain has billions of neurons and how that is completely out of reach for current technology... But that neuron count includes neurons from brain structures related to non-cognitive tasks such as controlling your heart rate, breathing, glands, etc. Also, not everything in a neuron is for information processing, part of it is responsible for keeping the neuron alive, and part of it has to do with communication at the lower levels of the OSI model. With respect to a theoretical artificial intelligence, we have very deep disadvantages that people do not talk about often. Verbal communication in humans, seen from an oversimplified perspective, is about encoding ideas into words and then emitting the respective sounds for those words with your vocal chords and mouth, so that then another person listens to those sounds to recognize the words, and then inferring the meaning for each word and then the phrases. To make verbal communication more efficient, new words can be created to represent high level concepts, making faster communication possible. But there are still limits to verbal communication, both as speakers and listeners. But what about machines? Machines do not even need to translate their thoughts into words. Machines can simply share a serialized cognitive model with another one, at gigabytes per second, and then the receiving machine can load it. What does this mean? that for machines, going to school is a experience that will last only a few seconds, and after that machines will be able to pass every school exam with 100% score. Once one machine achieves expertise in a field, that machine can share its model with others, who will then load it and become experts immediately. This means that once one machine becomes as smart as Einstein, few minutes after, millions of machines will be as smart as Einstein. It is not really the fact that we will be competing with smart machines, but the fact that we will be competing with machines that do not take 18 to 25 years to become "productive" in the job market, and that can educate themselves at a ridiculously fast rate making it impossible for us to catch up. Also, the fact that machines can simply forget and throw away a model and incorporate a new one as needed. In a machine economy, AGI machines may be able to switch jobs multiple times per day, redirecting their effort to meet the needs of the economy in a highly dynamic way. They'll never have unemployment because they will quickly readjust their skill set to what needs to be done. And when it comes to war, once machines have one highly successful general skilled at military tactics and strategy, every member of the robot army will be potentially as smart as that general. Then, not only computer science, AI and ML are advancing fast, but we are also at the same time reverse engineering biology. In Terminator II, the fictional company Cyberdyne reverse engineers a robot arm and a robot chip from the future. That's not necessary: the "future" technology is already here. The robot arm = human arm, and the robot chip = your brain.