BUILDING A HUMAN FROM SCRATCH
There are some key points regarding this subject, and we can list them as follows:First, we place a CPU (Central Processing Unit) into the robot's cranial cavity and set up the necessary transistor circuits in the head section.
We load the ideal behavioral patterns for various situations into a disk mechanism and place this disk into the body cavity.
By prioritizing the processor in the head, we place a QPU (Quantum Processing Unit) into the body cavity. Between the two processors, the CPU's signal is first converted into microwave signals or laser pulses via digital-analog converters, making these signals capable of influencing quantum gates to change the state of the qubits in the QPU. Subsequently, through coaxial and fiber-optic lines, these signals generated in the head are transmitted to the quantum gates to affect the QPU located in the body. In the meantime, since the state of the qubits can change instantaneously, an architectural design that can measure the instantaneous states of the qubits and transmit them back to the CPU in the head must be used.
The CPU must process the incoming data in real-time, determine the most probable behavioral pattern, and, due to its priority status, execute that behavior pattern through the hardware components of the body.
I have tried to outline what is currently missing for creating a human from scratch. The other stages are already being implemented today.
Author: Emre Pelit
Artificial intelligence and digital technology
Sector Definition
Covers machine learning, large language models, algorithms, software products, automation, design and safe use.
Thesis discussed in the articleBUILDING A HUMAN FROM SCRATCH There are some key points regarding this subject, and we can list them as follows: First, we place a CPU (Central Processing Unit) into the robot's cranial cavity and set up the necessary transistor circuits in the head section. We loa
Sector Assessment
Sector relevance
The thesis relates to interpreting model behavior, software architecture or automated decisions.
Potential contribution
The topic may inform sector practice when assumptions, intended use and success criteria are stated clearly.
Evidence and method
Assess the claim separately from supporting evidence, counterevidence, alternative explanations and uncertainty. Conceptual consistency alone is not empirical validation.
Limits and risks
Fluent output alone does not establish consciousness, understanding or reliability. A single example, analogy or interpretation should not be treated as a universal result. State the conditions in which the thesis applies and may fail.
Review checks
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Possible metric: predefined success criteria, uncertainty and reproducibility.
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