Have they ever attempted to implement the philosopher’s algorithm of thought? Kant’s categories serve as a great example of how a thought can be formulated more efficiently to arrive at a better rational answer. When we formulate a thought, it passes through these categories to develop a clearer and more refined concept.
Additionally, one could combine Aristotle’s concept of telos (purpose) with Kant’s categories to enhance rational thinking. By integrating these with the Socratic method as an added layer, we could construct powerful algorithms of thought. If these were applied, we would achieve a framework for developing true artificial intelligence.
I have also solved why AI struggles to answer questions like “Why is the sky blue?” The issue lies in how knowledge is organized. AI needs to compartmentalize information into three distinct categories, each corresponding to a specific area of expertise:
- Science and Scientific Fact – addressing the physical and natural sciences. (Descriptive.)
- Social Sciences and Justified Belief – encompassing psychology, sociology, and related disciplines. (Dialectic.)
- Formal Logic and Universal ideas (Telos) – providing the foundation for structured reasoning and deduction. (Prescriptive.)
Once knowledge is organized into distinct domains, AI can respond more effectively. For example, when explaining the question “Why is the sky blue?”—a concept I refer to as Private Understanding—AI can draw insights from multiple perspectives, ensuring a well-rounded explanation that integrates all relevant categories.
I want to elaborate on why AI struggles to explain this question. The core issue lies in how knowledge is—or, more precisely, isn’t—structured. Without properly categorizing information into its respective domains, AI cannot provide a comprehensive or coherent response to complex questions.
If knowledge were systematically organized according to my framework, AI could develop a more structured and nuanced thought process. This would allow it to explain why the sky is blue in a more logical and detailed manner. A similar principle applies to understanding the telos—or ultimate purpose—of objects like bicycles and cars. By recognizing that their primary function is transportation, AI can learn how individual components contribute to this goal. Additionally, AI could simulate countless scenarios involving potential malfunctions, enabling it to generate solutions effectively.
A major challenge AI faces is paralogism—a form of reasoning error that arises when conflicting yet valid perspectives from different domains attempt to assert a singular “correct” answer. For example, one domain might explain the sky’s color through physics, while another might consider psychological or social interpretations. When these perspectives clash without proper distinction, AI struggles to reconcile them, leading to incoherent or misleading responses.
The solution is to maintain clear boundaries between these domains while acknowledging their interconnectedness. Instead of allowing perspectives to overwrite each other, we must recognize that each is valid within its own field. By keeping knowledge organized in this way, AI can avoid paralogism and deliver clearer, more precise answers.
With this structured approach, AI could provide layered responses, offering insights from each relevant domain in a coherent sequence. This would mirror the complexity of human understanding, making AI-generated explanations both comprehensive and rational—free from paralogism.
Why is the sky blue?
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Chemistry: In chemical terms, the sky itself is not inherently colored; rather, what we perceive as color is the result of electromagnetic energy interacting with matter. The phenomenon arises because the energy emitted or scattered by atmospheric particles falls within wavelengths that our eyes interpret as blue.
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Biology: Biologically, the color we see is determined by the configuration and sensitivity of the photoreceptor cells (cones) in our eyes. These cells respond to specific wavelengths of light, which means that the blue appearance of the sky is partly a function of how our visual system processes incoming light.
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Cosmology: From a cosmological perspective, the blue hue of the sky can be understood by examining how sunlight interacts with Earth’s atmosphere. Although factors like the reflection of sunlight off water and the dynamics of planetary movement contribute to the overall appearance of celestial bodies, the dominant cause of the sky’s blue color is the scattering of sunlight by the atmosphere’s molecules—a process known as Rayleigh scattering.
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Subjective Experience: Ultimately, the perception of color is a subjective experience. While physical processes determine the wavelengths of light reaching our eyes, individual differences in sensory processing mean that the experience of “blue” can vary from person to person.
What is love?
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Biology: In biological terms, love is a complex emotional and physiological response governed by the brain. It involves the limbic system, particularly the amygdala and hypothalamus, which process emotions and attachment. Neural circuits and neurotransmitters, such as dopamine, oxytocin, and serotonin, play crucial roles in feelings of affection, bonding, and desire.
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Chemistry: Chemically, love is driven by a cascade of hormones and neurotransmitters that influence mood, attraction, and attachment. Dopamine is associated with pleasure and reward, oxytocin promotes bonding and trust, serotonin stabilizes mood, and adrenaline contributes to the excitement and intensity of romantic attraction. These biochemical processes create the physical sensations and emotional highs we associate with love.
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Anthropology: From an anthropological perspective, love is a uniquely advanced form of emotional expression that distinguishes humans from other species. It plays a vital role in social bonding, mate selection, and the formation of familial and societal structures. Love has evolved as a mechanism for cooperation, reproduction, and survival, shaping cultural practices, rituals, and social norms across civilizations.
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Subjective Experience: Love is ultimately a deeply personal and unique experience, shaped by individual perceptions, memories, and emotions. While science can explain its biological and chemical foundations, love is also influenced by personal relationships, upbringing, cultural background, and personal beliefs. No two people experience love in exactly the same way, making it one of the most profound and multifaceted aspects of human life.
