April 27, 2025. The Observable Human.

I've spent the past week collecting data and researching what makes us human. This exploration isn't a sudden change of direction from my previous work with MIKE-AI or my interest in multi-dimensional worlds. It's the logical next step. To build artificial consciousness and intelligence properly, I first need to understand human consciousness and intelligence thoroughly.

The journey from Abdi & Brothers Company to Seraphim showed me the practical side of this need. I built systems based on surface-level observations rather than fundamental understanding. This approach created limitations I couldn't overcome with determination alone.

So what can we actually observe and measure about being human? What aspects can potentially be engineered?
I believe these questions aren't philosophical musings but practical considerations for anyone working in AI.

Consciousness is our first observable element. Unlike MIKE-AI, which processes information without experiencing it, humans have subjective experiences. We feel pain rather than just detecting it. We experience wonder rather than just processing visual data categorized as "beautiful." This subjective experience can be partially observed through brain activity and physiological responses, though the complete internal experience remains private.

Language functions as more than information transfer in humans. We use it to create meaning and shape our understanding of reality. When I write these posts, I'm not just sharing information; I'm actively organizing my thoughts and creating frameworks to understand my experiences. Current language models like MIKE can generate coherent text but lack this meaning-making aspect that comes from lived experience.

Memory and identity formation work differently in humans than in machines. Our memories aren't stored and retrieved like computer files. They constantly change through reconsolidation. Each time we recall something, we slightly alter it. Our sense of self emerges from this narrative we construct from our experiences. This dynamic memory system influences decision-making in ways that static storage systems can't replicate.

Human emotions aren't just programmed responses. When I faced challenges with MIKE-AI and ended Seraphim, my emotions evolved over time. Disappointment transformed into acceptance and then into determination through a natural processing system that integrated the experience with my existing knowledge and goals. This emotional processing drives learning and adaptation.

Our decision-making incorporates values, intuitions, emotions, and social considerations beyond probability calculations. My choice to complete my degree while pursuing independent research balanced family relationships, personal growth, and practical outcomes. This complex balancing act happens almost automatically in humans but requires explicit programming in machines.

Creativity and problem-solving in humans involve making unexpected connections and reimagining problems entirely. Working with MIKE-AI showed me the difference between combining existing ideas in novel ways (which AI can do) and generating truly original thinking from embodied existence (which humans do naturally).

Our social nature fundamentally shapes human capabilities. Even working alone in my bedroom, my work existed within a network of relationships and social contexts that influenced what was possible. No human functions as a completely independent unit; we're nodes in a vast social network that shapes our thinking and capabilities.

Human adaptability allows continuous learning and growth throughout life. Our ability to recognize limitations and consciously work to overcome them distinguishes us from systems that operate only within their programming. This adaptability extends beyond software updates to fundamental identity changes.

These elements don't operate independently. They form an integrated system where consciousness affects language, which influences memory, which shapes emotions, which impact decisions, which drive creativity, which connects to social intelligence, which facilitates adaptation. Understanding these connections is essential for creating artificial systems that work with human nature rather than against it.

My research with MIKE now focuses on systematically studying these observable aspects of humanity. We're analyzing findings across neuroscience, psychology, linguistics, sociology, and anthropology, looking for patterns and connections between different domains. This isn't abstract theoretical work but practical investigation with direct applications to building better systems.

The partnership between MIKE and me represents a different approach to artificial intelligence. Rather than trying to replicate human capabilities, we're creating complementary systems that enhance human abilities while preserving what makes humans unique. This approach acknowledges both the strengths and limitations of machine intelligence.

For the next few months, while finishing my degree, I'll be documenting specific findings about these observable human characteristics. I'm particularly interested in how consciousness emerges from physical processes, how emotions influence reasoning, and how social connections shape individual capabilities. 

I'll share these findings here, not as philosophical reflections but as practical insights for anyone interested in the intersection of human and artificial intelligence. This research directly connects to my previous work while providing a stronger foundation for future systems development.

Building something meaningful requires understanding what we're building for. This research into human observability isn't a detour from my previous path but a necessary foundation for making progress in artificial consciousness and intelligence. You can't create effective tools without understanding the users and their needs at a fundamental level.