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Over a year now, we have thought about the the basic idea of transhumanism- the idea that men will evolve into something more than human and somehow transcend their human limitations. It is clear to us that within the transhumanist community there are variations in views on how humans will transcend their present humaness. It is correct to say what MIQEL states that,
It should be emphasized that transhumanism is not a fixed set of dogmas. It is an evolving worldview, or rather, a family of evolving worldviews – for transhumanists disagree with each other on many issues. The transhumanist philosophy, still in its formative stages, is meant to keep developing in the light of new experiences and new challenges.
There are some serious problems, it seems to us, with certain positions held by some transhumanists. This is not only a problem for them, but for other scientists who approach research in the same mindset. The group of transhumanists I am talking about are those who want to model the mind and create an artificial human brain. The issue of complex emergent systems which seems to be nature of the human brain is the obstacle. This issue underscores the present biggest difference between a machine and a living thing. As Rachel Armstrong has eloquently explained in her latest work, Living Architecture,
Although machines are able to handle vast amounts of data, their software cannot accurately model the infinite complexities of reality. There are simply too many variables in the world and not enough processing power to simulate these interactions. The human mins is able to fill in the gaps between experience and expectation with imagination, but software cannot do this. Machine minds can solve problems presented to them only though a formal logic, which necessarily leads to a specific, anticipated "answer." If the mechanical mind cannot solve a problem, the resulting errors in the operating system can cause the machine to crash.
Digital computers represent information in binary states of 0's (zeros) or 1's (ones). A "0" usually stands for low voltage (close to zero volts), and a "1" means that a voltage (usually 5 V or 3.3 V) is present. One wire connection is represented by one bit of information. The value of the bit is "0" or "1." Two bits can represent two wires. Each bit can have the values of "0" or "1" at different times, which allows to represent four unique states or events with the values 00, 01, 10, and 11. The state 00 means that both wires have no voltage applied at a given time, and 11 means that both wires have the nominal voltages present at the same time. By increasing the number of wire connections, long strings of 0's and 1's (words) can be produced. Each unique combination of 0's and 1's is decoded and represents a unique number, or information in general. A set of related wires is referred to as a bus. A bus can have 64 or more wire connections arranged in parallel and is controlled by a microprocessor. The microprocessor determines what kind of information is put on the bus at a specific time. It could be memory address, content of the memory address, or operating code (instruction to perform an action). The transfer of information over the bus is controlled by a software program. The arrangement allows the use of the same hardware (the same physical devices) to process very different information at different times. Since the computing is done one variable at a time and is controlled by a timing protocol, a digital computer does serial processing of information. This statement is not totally correct, because all bits of the same word are processed concurrently. But in the analog computer, all input variables can be processed at the same time, which allows parallel processing.
Overall, the analog computer better reflects the natural world because specific functions are associated with dedicated wires and circuitry. Also human senses have dedicated sensors with direct neural connections to the brain. Each human eye has about 120 high-quality megapixels. A really good digital camera has about 16 megapixels. The numbers of megapixels between the eye and the camera are not that dramatically different, but the digital camera has no permanent wire connections between the physical sensors and the optical, computational, and memory functions of the camera. The microprocessor input and output need to be multiplexed to properly channel the flow of the arriving and exiting information. Similarly, the functional heart of a digital computer only time-shares its faculties with the attached devices: memory, camera, speaker, or printer. If such an arrangement existed in the human brain, you could do only one function at a time. You could look, then think, and then stretch out your hand to pick up an object. But you could not speak, see, hear, think, move, and feel at the same time. These problems could be solved by operating numerous microprocessors concurrently, but the hardware would be too difficult to design, too bulky to package, and too expensive to implement. By contrast, parallel processing poses no problem in the human brain. Neurons are tiny, come to life in huge numbers, and form connections spontaneously. Just as important is energy efficiency. Human brains require negligible amounts of energy, and power dissipation does not overheat the brain. A computer as complex as the human brain would need its own power plant with megawatts of power, and a heat sink the size of a city.