Modern large language models (LLMs) have captured global attention and sparked claims that artificial intelligence has arrived, yet close examination of how these systems are built reveals a fundamental limitation: they are not autonomous intelligences emerging from first principles , but rather sophisticated mirrors of human data and cognition. The term Artificial Intelligence suggests a system capable of learning, reasoning, and adapting in ways that are independent of human constraints — yet current models are overwhelmingly shaped by human knowledge and experience. Because they learn from vast corpora of text, images, and structured data created by humans, these models reflect the perceptual, cultural, and cognitive biases of their human sources rather than generating independent representations of reality. In this sense, contemporary generative AI functions more like Artificial Human Intelligence (AHI) — pattern recognition systems trained to mimic human linguistic outputs and k...
Introduction I have spent my entire life thinking about existence more deeply than anyone I personally know. While most people touch these questions occasionally, I grew up living inside them. As a child, I experienced an early existential crisis—an overwhelming awareness that everything around me existed for reasons I could not understand. This forced me into a habit of thinking in systems: not emotionally, not through inherited beliefs, but through logic, structure, and a desire to see how all parts of reality influence one another. Because of this, I never accepted religious teachings simply because a human claimed them. I never believed in prophets who spoke on behalf of the universe. I never accepted that a divine force would have human emotions like anger, jealousy, vengeance, or mercy. These are biological reactions produced by evolution, hormones, and survival instincts. To attribute them to the creator of the entire cosmos is, to me, an unrealistic projection. So my belief sys...