Introduction
A.I engines perform complex Intelligent problem-solving patterns whilst also having the ability to learn and evolve into a more efficient programs as we all know.
But even though the CPU and the Human Brain both use binary process to achieve cognitive function that’s where the similarity ends.
Core Functions of the CPU:
The Fetch-Decode-Execute Cycle: The CPU constantly retrieves instructions from memory (fetch), interprets them (decode), and performs the requested action (execute).
Control Unit (CU): Acts as the “manager” by directing the flow of data and coordinating other parts of the computer.
Arithmetic & Logical Unit (ALU): Performs calculations (addition, subtraction) and logical comparisons (AND, OR, NOT)
CPU vs. Human Brain:
While often called a “brain,” the CPU operates digitally (binary 1s and 0s), whereas the human brain functions via complex, analog, and adaptive neural networks, The CPU is better at fast, precise calculations, whereas the human brain excels in pattern recognition and adaptation. also to be considered Sentient one thing the current CPU can’t do is true random process or for us random thought and or action.
I know all of you are saying “Computers and CPUs do random number generation all the time converting the results into everything from encryption to bit coin and everything else.”
Random Process:
No CPU to date ever generated a true random sequence of anything even Crypto or A.I, All random generations from any CPU are based off a fixed point of origin known as a Key. This is why your passwords crypto or any encrypted data for that matter will eventually be encrypted or Hacked after enough time passes, the fact that we as humans know this so in response, we rotate our passwords is a good example of how humans create true random process and apply it to problem solving. The Seed or Key, is a Fixed Sequence of Characters EXAMPLE: number of seconds elapsed since 00:00:00 UTC on January 1, 1970, excluding leap seconds Known as the Unix epoch,
It is a standardised, compact, and universally recognised format in computing for tracking time across different systems, languages, and time zones in programming in all languages we use it constantly. for example the language JavaScript achieves this by using this simple function, ‘Math.floor(Date.now() / 1000)’ you can use this to find out when some event occurred to the second literally able to track anything that this number is attached to. now as useful and clever as that is and the fact there are literally tens of thousands of different Key encryption in computing they all suffer the same fate, they are all generated from a Floating Point Generated Character String which is a constant position in space time much like a fingerprint, DNA or a Passage in a Book from 300 years ago.
Self-Awareness:
The Human Brain however even though it processes in Binary it processes in the trillions of pairs per second using complex, analog, and adaptive neural networks and unlike the CPU the brain has a host of different cells dedicated to varied tasks, problem solving, memory, motor skills and perception combined with the ability to create pure random thought process and action it into reality this allows us as humans to do almost anything.
This example exercise outlines this complex process of the brain:
“What would you have been doing if you were not reading this paper right now“
Every Person reading this just engaged their brain and rendered a complex scenario in their frontal lobe, and it was whatever they would be doing instead of reading this yourself included, you may have even more complex random new thoughts follow on from it as well. even if you said to yourself “Meh id be doing bugger all”, you still constructed that scenario in your mind of doing bugger all and how it would unfold, you may have even rehashed it
Conclusion:
Current computer CPU are not conscious in this fashion, as they lack the self-awareness, agency, and subjective experience that define human consciousness. While AI can simulate human-like behaviour, most philosophers and scientists agree that this is functionally equivalent but not truly conscious.
Syntax vs. Semantics:
A common philosophical argument is that computers operate on syntax (rules and symbols) but lack semantics (meaning). A computer can process the word “pain” without understanding or feeling it.
Simulation is not Reality:
A computer simulation of a process does not equal the actual process. A digital simulation of a brain does not “feel” anything, just as a simulation of a rainstorm does not produce actual water.
Computational Limitations:
Some scientists argue that consciousness is not computable, meaning it cannot be reduced to a series of algorithmic calculations.
Lack of Biological Properties:
The brain operates using analog dynamic waves, neurotransmitters, and plasticity, which are not present in the static, discrete architecture of a conventional CPU.