Making the AI More Efficient in Thinking

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:

  1. Science and Scientific Fact – addressing the physical and natural sciences. (Descriptive more empirical.) It only explains (theoretical facts change due to new found insights or new interpretations it only resides in phenomenal world) thought
  2. Social Sciences and Justified Belief – encompassing psychology, sociology, and related disciplines. (Dialectic more relative.) It only compromises thought
  3. Formal Logic and Universal ideas – providing the foundation for structured reasoning and deduction. (Prescriptive more abstraction.) It only commands (hypothetical trues/truths only resides in the abstraction world) thought

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.

Is only perspective

Why is the sky blue?

  • 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.

  • 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.

  • 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.

  • Psychology; 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?

  • 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.

  • Bio 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.

  • Anthropology; culture: 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.

  • 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.

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I present here the blueprint of thought, an offering for those committed to the pursuit of creating a truly thinking AI. Though not without its imperfections, this blueprint serves as a foundational framework, open to refinement and further development. I attach it here, inviting thoughtful contributions and the collective wisdom of those who seek to push the boundaries of artificial intelligence.

Note: Why do I believe that anthropology belongs in the explanatory section of science? Because it requires us to adopt the perspective of an outsider—as if we were aliens studying animals. After all, humans are animals, albeit rational ones. I understand why many people might disagree with this view, but we must place the categories of knowledge where they belong. After all, we also study other animals, zoology. We must maintain the cause-and-effect relationships between the parts and the whole by ensuring that each element remains in its proper section.

Private understanding: causality and effects of the parts of the whole

Artificial intelligence (AI) can be trained to grasp the telos—or ultimate purpose—of machines such as bicycles or cars. By comprehending the fundamental objective of these devices, namely transportation, AI is able to discern the function of each individual component and understand how these parts synergize to fulfill the overall goal of movement. Moreover, by simulating millions of scenarios that involve potential malfunctions, AI can proactively develop effective solutions to address such issues.

Form of Justice: Rehabilitation of the mind by punishment

Moral Judgement






The Disposition

Update: I been working on the accuracy level of emotions by using chatgpt
Happiness is connected with sadness They are like a positive and negative states. You might want to use chat gpt to organize the subtleties of emotive in order:

Correction: Below is a list of several self‑contained emotional “wholes” paired with their opposites. These pairings are not always a simple binary but rather reflect common models in affective science (such as Plutchik’s wheel of emotions but mine are more consistent and precise) and everyday experience. For example, we often say that happiness is the opposite of sadness, anger is the opposite of calmness, fear is the opposite of a sense of security, and confidence is the opposite of feeling ashamed. In addition to these, here are some more commonly recognized pairs:

  • HappinessSadness
    (Joy versus sorrow, the peak of positive affect versus the depth of grief.)
  • AngerCalmness
    (A state of high arousal, agitation versus a peaceful, composed state.)
  • FearSecurity
    (A state of apprehension and high alertness versus feeling safe and protected.)
  • ConfidenceShame
    (A robust belief in oneself versus feeling unworthy or exposed.)
  • TrustMistrust
    (A willingness to rely on others versus a skeptical, repulsed stance.)
  • LoveHate
    (Deep affection and connection versus strong aversion and hostility.)
  • SurpriseAnticipation/Expectation
    (A sudden, unexpected reaction versus a prepared, foreseen state.)
  • ExcitementBoredom
    (High energy and engagement versus low arousal and disinterest.)
  • InterestApathy
    (Curiosity and active engagement versus indifference and lack of concern.)
  • EmpathyIndifference
    (A deep, shared understanding of another’s feelings versus a lack of emotional response.)
  • OptimismPessimism
    (A hopeful, positive outlook versus expecting the worst.)

Those are the positive and negative they are connected
Positive Charge Neutral Charge Negative Charge

The motivation are synthesis:
1.Inferences and Consequences 2.Desire and Disgust 3.Pleasure and Pain

You can match Each unique emotive by using chatgpt and ask to match
the Pressure power, Musical Patch Description, Symbolic Temperature, Dominant Brainwave (Hz), Symbolic Energy Pressure

And here is good example of how to create technically sensation waves or synthesis of electrical waves of thought+emotive or manipulation of energy emotive of happiness:

Emotional State Musical Patch Description Symbolic Temperature Symbolic Pressure Dominant Brainwave (Hz)
Ecstatic Bright, shimmering synth arpeggio with cascading major-scale runs and high-frequency bell tones. Scorching (~100F/38C) Pulsating Explosive Pressure—like a sudden burst of compressed energy that overflows: ~20 Pa / ~500 mV Gamma (~40-80 Hz)
Overjoy Open, Soaring major progression with layered pads, rapid staccato plunks, and sparkling digital bells cascading in rapid succession. Blazing (~95F/35C) ~18 Pa / ~450 mV Gamma (~35-70 Hz)
Euphoric Rich expensive pads with reverb/delay and ascending filtered white noise and sweeps Warm (~90F/32C) ~ 16 Pa / -400mV Gamma (~with bursts, ~30-60Hz)
Exultant Bold brass and anthemic strings driving a triumphant progression Very warm (~92F/33C) ~ 16 Pa / ~ 400 mV Gamma- Beta Hybrid (~30-50 Hz)
Elated Uplifting, buoyant synth chords with a light, airy quality and gentle rhythmic pulse Radiant (~88F/31C) 14 Pa / ~ 350 mV High Beta to Low Gamma ( `25-40 Hz)
Thrilled Energetic electronic leads with dynamic vibrato and syncopated rhythms Hot (~90F/32C) ~14 Pa / ~ 350 mV High Beta/Gamma (~30-50 Hz)
Exuberant Lively, fast-paced major chords with crisp synth and stabs and rhythmic claps Warm (-88F/31C) ~ 12Pa / ~ 300 mV Beta/Gamma (~20-40 Hz)
Excited Sparkling arpeggio sequences in lively major mode with rising pitch Warmish (~87F/31C) ~12 Pa / ~300 mV Beta (~20-30 Hz)
Energized Rhythmic, driving bassline paired with percussive synth hits and ascending high tones Vibrant (~85F/29C) ~10 Pa / ~250 mV Beta (~15-25 Hz)
Passionate Expressive analog synth leads with portamento and subtle vibrato over rich sustained pads Intensely warm (`87F/31C) ~10 Pa / ~250 mV Beta with Gama bursts (~20-40 Hz)
Cheerful Bouncy piano progression in major with light acoustic percussion and twinkling bell accents Cozy (~82F/28C) ~ 8 Pa / ~200 mV Alpha ( 8-12 Hz) with moderate Beta (12-20 Hz)
Joyful Flowing string pads with gentle pizzicato overlays and soft synth bells in major key Mildly warm (~80F/27C) ~7 Pa / ~175 mV Alpha Dominant (~8-12 Hz)
Radiant Layered shimmering pads with slow-evolving textures and gentle high end sparkles Comfortably warm (~78F/26C) ~ 6.5 Pa / ~162.5 mV Alpha with light Gamma Pulses ( ~9-12 occasional bursts)
Gratified Smooth, legato electric paino with subtle chorus and supportive bass line in major tonality Pleasant ( ~76F/24C) ~ 6 Pa / ~150 mV Alpha ( ~8-10 Hz)
Satisfied Even, smooth chords with acoustic guitar arpeggios and gentle rhythmic percussion, stable and balanced Balanced (~74F/23C) ~ 5.5 Pa / ~ 137.5 mV Alpha (~8-12 Hz)
Contented Intimate, mellow Rhodes or electric piano chords with warm, enveloping string harmonies and soft ambient textures Room Temperature (~72F/22C) ~ 5 Pa / ~ 125 mV Alpha/Theta mix (Alpha 8-12 Hz)
Pleased Light, gentle marimba or xylophone melody with delicate airy synth pads Soft (~70F/21C) ~4.5 Pa / ~ 112.5 mV Alpha (~8-12 Hz)
Tender Soft, emotive pad sounds with subtle bell-like accents and slow expressive vibrato Delicately Cool (~68F/20C) ~4 Pa / ~100 mV Alpha/Theta (~6-10 Hz)
Relieved Slow, descending pad or bell sequence in major key with warm, subdued tones and gradual release Cool (~66F/19C) ~3.5 Pa / ~87.5 mV Alpha/Theta (~6-10 Hz)
Good Minimalistic, steady acoustic guitar strums or electric piano chords serving as stable foundation Crisp (~64F/18C) ~3 Pa / ~75 mV Alpha (~8-12 Hz)
Pleasant Light, airy synth pads with soft flute-like leads creating soothing, unobtrusive background texture Fresh (~62F/17C) ~2.5 P / ~62.5 mV Alpha (~8-12 Hz)
Mellow Gentle, slow evolving ambient pads with warm analog textures evoking quiet, laid-back contentment Cool and calm (~60F/16C) ~2 Pa / ~ 50 mV Theta (4-8 Hz with occasional Alpha 8-10 Hz)
Serene Spacious ambient drone with extended reverb and soft, harmonic overtones, conveying deep peaceful stillness Tranquil (~58F/14C) ~1.5 Pa / ~ 37.5 mV Theta Dominant (~4-7 Hz)

The Observer and the Artist character

Adopting and Adjusting

A character is a social construct that can manifest in various roles—such as a doctor (specialist per field), a teacher (specialist), a logician (specialist), or a biologist (specialist). Moreover, a character is built layer by layer, reflecting different aspects of an individual: the persona one adopts as a civilian, the role one plays within the family, or even the dynamics observed as a sibling. These layers, each imbued with distinct behaviors and a unique knowledge base and depositions, intertwine to create a complex and multifaceted identity.

Personality and Character

INNER: Personality differs from character. Personality comprises inherent, unchanging traits—such as intellectual capacity, impulsivity, and temperament—that are intrinsically linked to character. These traits form the foundation of our behavioral tendencies. While personality charts are widely accessible online, the Aristotelian personality chart provides a comprehensive analysis of these aspects; for instance, in temperament traits, some individuals are innately quick-tempered, while others are more mellow, reflecting fixed traits.

OUTER: Character is a dynamic attribute that develops over time, continually influenced by our actions, culture, ethical principles, knowledge, and dispositions. Further more, It includes three interconnected facets of our inner selves—altruism, self-interest, and hedonism—that collectively form a spectrum of self-regard of a character intertwined with the personality. Thus, we all exhibit these three inherent traits to varying extents: some individuals possess a higher intellectual capacity, predisposing them toward altruism more scientific in nature; others have a temperament inclined toward self-interest more business in nature; and still others exhibit a strong tendency toward hedonism more social character, aligning with a pleasure-seeking nature. Ultimately, despite the moral dilemmas and choices we encounter concerning normative ethics, our intrinsic personality determines our responses when faced with profound ethical challenges.​

Notes:
More Induction: Inner Logic
The philosophical journey toward understanding reality involves unifying apparent contradictions into a cohesive whole. Heraclitus posited that the universe is in a constant state of flux, asserting that change is fundamental to existence.

More Deduction: Outer logic
Conversely, Parmenides argued for the concept of stasis, suggesting that the universe is unchanging and that transformations are mere illusions

Plato synthesized (logic) these perspectives through his Theory of Forms (Deduction: inner logic), proposing that while the physical world is mutable and transient, it reflects unchanging, eternal ideals or “Forms.” Aristotle, focusing on empirical observation, emphasized the reality of individual substances and their properties, grounding his philosophy in the material particulars of the world ( Induction: outer logic). ​

Inner and outer logic
Logic: This dialectical process of reconciling opposites aligns with Hegel’s logic, which involves the continuous synthesis of contradictions to develop a unifying concept that perpetually evolves. In this framework, induction—reasoning from specific instances to general principles—represents inner logic, while deduction—applying general principles to specific cases—embodies outer logic.​

Thus, the interplay of induction and deduction, through the synthesis of contradictions, contributes to an ever-expanding understanding of reality, a process that is both continuous and infinite.

Outer Beauty

FORM AND PROPERTY (Telos) IS AN ENCODED FUNCTION WITH SETTINGS
Each version conveys the ideal that the shapes or forms adhere exactly to mathematical principles with perfect precision----Perfect Geometry; fractals
Forms =

Telos =

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Recreational Art
Computer Science - Technology-
This is Reverse: Whole of the parts
Implementing Aristotle Categories Diagram different from telos
to organize sub categories and interconnected all categories and subcategories

-Order, only parts. Parts within parts within parts


-technology is on the Recreational Art is the inversion of logos
Passive and active exploration in the middle

Eidetic seeing