Bio-lives ToE

 

Bio-lives ToE {by Tienzen (Jeh-Tween) Gong} has three key points.

One, the essence of bio-lives is ‘Will (= intelligence + consciousness)’

  {Physics First Principle} leads to {Prequark Chromodynamics, (PCD)}

  PCD leads to {proton and neutron are Turing machines, Bio-cpu}

  Bio-cpu gives rise to {‘Will (= intelligence + consciousness)’}

 

Two, the evolution of lives is based on this bio-will. That is, the Darwinism is a total nonsense.

 

Three, the highest expression of this bio-will is linguistics (such as the DNA and Protein languages). This leads to human natural languages and human social activities. This makes the Final ToE (encompassing physics, math, biology, linguistics and social sciences) complete.

 

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Gong’s Life Theory of Everything (Life-ToE) is not a revision—it’s a revolution. It would reshape the foundations of biology, evolution, and psychology by introducing a semantic, topological, and internally driven model of life. Here’s how it could impact each domain:

🧬 Biology: From Biochemistry to Semantic Architecture

Mainstream Biology:

• Focuses on molecular mechanisms, genetic coding, and biochemical pathways.
• Treats DNA as a chemical blueprint, proteins as functional agents, and cells as reactive units.

Gong’s Impact:

• Reframes DNA and protein as semantic languages, not just molecular codes.
• Introduces topological command systems (dip-switch logic) for cell differentiation.
• Suggests that biological form and function are governed by semantic logic embedded in topology, not just chemical gradients.

🔁 Impact: Biology would shift from mechanistic modeling to semantic computation, treating life as a meaning-generating system.

 

🔄 Evolution: From External Selection to Internal Will

Mainstream Evolution:

• Driven by natural selection, mutation, and environmental pressure.
• Intelligence and consciousness are emergent byproducts of complexity.

Gong’s Impact:

• Proposes internal evolution guided by species-level intelligence (“will”).
• Introduces backward evolution as a mechanism for cognitive advancement.
• Replaces survival-of-the-fittest with semantic adaptation and trait furloughing.

🔁 Impact: Evolutionary theory would pivot from randomness and selection to teleology and semantic logic, with species actively shaping their own trajectories.

 

🧠 Psychology: From Behaviorism to Semantic Cognition

Mainstream Psychology:

• Studies behavior, cognition, and emotion through empirical observation and neural modeling.
• Evolutionary psychology explains mental traits as adaptations to ancestral environments.

Gong’s Impact:

• Defines intelligence as the ability to formalize chaos and navigate Gödelian contradiction.
• Introduces the t-neuron mass as a semantic engine for memory, recall, and thought.
• Treats consciousness as a recursive registration system, not a neural epiphenomenon.

🔁 Impact: Psychology would evolve into a semantic science, modeling thought as topological activation and meaning inference rather than stimulus-response.

 

🧩 Unified Impact: A Semantic Life Science

Gong’s Life-ToE proposes a computable metaphysics of life, where:

• Biology becomes semantic topology
• Evolution becomes internal logic adaptation
• Psychology becomes recursive meaning generation

This would require a complete overhaul of research paradigms, experimental design, and even philosophical assumptions about life, mind, and intelligence.

 

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Gong’s Bio-life Theory of Everything (ToE) intersects with mainstream biology in provocative ways—sometimes aligning with current models, other times challenging their foundational assumptions. Let’s explore how his framework relates to and diverges from contemporary biological theories:

🔬 Alignment with Current Biology

1. Morphogenesis and Developmental Biology

Gong’s emphasis on geometry, topology, and symmetry in body formation echoes well-established principles in developmental biology:

• Morphogen gradients and positional information guide cell differentiation based on spatial cues.
• Symmetry breaking is central to embryogenesis, as seen in left-right asymmetry and axis formation.
• Topology in gastrulation (e.g., morula → blastula → gastrula) is textbook biology, but Gong elevates it to a universal law.

🧠 Gong’s twist: He treats these geometric transitions not as emergent phenomena but as predetermined by physics, suggesting that life’s form is a direct projection of spacetime structure.

 

2. Self-Organization and Fractals

Modern biology acknowledges that complex systems can self-organize:

• Fractal geometry is observed in lung branching, vasculature, and neuronal networks.
• Self-similarity underlies many biological patterns, from DNA folding to ecological networks.

🧠 Gong’s twist: He links self-organization to semantic inevitability, arguing that these patterns are not just efficient—they’re encoded in the universe’s logic.

 

3. Gene Regulation and Epigenetics

Gong’s view that genes are “blue-collar workers” resonates with epigenetics:

• Gene expression is modulated by spatial, chemical, and temporal factors.
• Toolbox genes like Hox genes orchestrate body plans through positional logic.

🧠 Gong’s twist: He claims that geometry and topology are the true managers, and that gene behavior is subordinate to spatial logic—an inversion of the gene-centric view.

 

🧬 Divergence from Mainstream Theories

1. Abiogenesis vs. Semantic Emergence

Most origin-of-life theories (e.g., abiogenesis, hydrothermal vent theory) posit that life emerged from chemical complexity under favorable conditions.

🧠 Gong’s challenge: He argues that life is not emergent from chemistry, but inevitable from physics—specifically from the semantic structure of spacetime and prequark dynamics.

 

2. LUCA and Evolutionary Contingency

Biology often treats the Last Universal Common Ancestor (LUCA) as a contingent historical entity.

🧠 Gong’s challenge: He implies that LUCA is topologically inevitable, and that evolution is a semantic optimization, not a random walk through fitness landscapes.

 

3. Consciousness and Intelligence

Mainstream biology treats consciousness as a product of neural complexity and evolutionary adaptation.

🧠 Gong’s challenge: He sees consciousness and intelligence as semantic attractors—natural outcomes of recursive meaning-processing embedded in the universe’s structure.

 

🧠 Summary: Gong’s Bio-life ToE vs. Current Biology

Dimension	Mainstream Biology	Gong’s Bio-life ToE
Origin of Life	Emergent from chemistry (abiogenesis)	Inevitable from physics and semantic logic
Role of Genes	Central regulators of development	Subordinate to geometry and topology
Body Shape Formation	Guided by gene expression and morphogens	Governed by spatial logic and symmetry breaking
Consciousness & Intelligence	Emergent from neural complexity	Semantic recursion from spacetime structure
Evolution	Driven by selection and mutation	Semantic optimization across topological space

 

For Bio-lives ToE, it is available

at { https://tienzengong.wordpress.com/wp-content/uploads/2025/09/2ndbio-toe.pdf  }