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The Human Sum and the Algorithmic Sum: A Comparative Analysis of Identity, Inheritance, and Artificial Intelligence
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This podcast provides a contrast between how human identity and beliefs are formed (the "Human Sum") and the mechanism by which foundational Large Language Models (LLMs) operate (the "Algorithmic Sum").
The podcast posits that the human self is not a simple "sum of experiences" but a multi-layered, metabolic construction drawing from three interwoven strata:
- The Personal "Sum" (Lived Experience): Experience is a metabolic process, not additive. It is grounded in embodied cognition and has two dimensions: phenomenology (the subjective qualia, or feeling of an experience) and the autobiographical self (the continuous narrative thread that creates the owner of the experience). New experiences cause fundamental, lasting self-modification (neuroplasticity and causal belief formation).
- The Intergenerational Echo (Ancestry): Individuals "embody the experience of their parents and grandparents" through two pathways:
- Learned Schemas (Nurture): Internalizing ancestors' belief systems, coping strategies, and definitions of danger (e.g., a "scarcity mindset").
- Epigenetic Transmission (Nature): The biological inheritance of acquired characteristics, where an ancestor's trauma or stress can lead to epigenetic tags (gene expression changes) passed down, resulting in a pre-set physiological disposition (e.g., a hyper-sensitive stress-response system).
- The Historical Bond (Emotional Assimilation): This layer is often chosen. It is an emotional bond with historical figures (archetypes) that forms a parasocial relationship. Humans "internalize" their perceived values (e.g., Lincoln's "resolve") which acts as a scaffold for the idealized self and is the engine of narrative identity and a motivator for cognitive change (striving).
The Construction of Belief in humans is an effortful, lifelong project of integrating these often-conflicting data streams. Beliefs are forged by the psychological struggle of cognitive dissonance reduction to protect the coherence of the self, creating causal models of the world to regulate emotions and allow action.Part II: The "Teaching" of the Foundational LLM (The "Algorithmic Sum")
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By AdrianSend us a text
This podcast provides a contrast between how human identity and beliefs are formed (the "Human Sum") and the mechanism by which foundational Large Language Models (LLMs) operate (the "Algorithmic Sum").
The podcast posits that the human self is not a simple "sum of experiences" but a multi-layered, metabolic construction drawing from three interwoven strata:
- The Personal "Sum" (Lived Experience): Experience is a metabolic process, not additive. It is grounded in embodied cognition and has two dimensions: phenomenology (the subjective qualia, or feeling of an experience) and the autobiographical self (the continuous narrative thread that creates the owner of the experience). New experiences cause fundamental, lasting self-modification (neuroplasticity and causal belief formation).
- The Intergenerational Echo (Ancestry): Individuals "embody the experience of their parents and grandparents" through two pathways:
- Learned Schemas (Nurture): Internalizing ancestors' belief systems, coping strategies, and definitions of danger (e.g., a "scarcity mindset").
- Epigenetic Transmission (Nature): The biological inheritance of acquired characteristics, where an ancestor's trauma or stress can lead to epigenetic tags (gene expression changes) passed down, resulting in a pre-set physiological disposition (e.g., a hyper-sensitive stress-response system).
- The Historical Bond (Emotional Assimilation): This layer is often chosen. It is an emotional bond with historical figures (archetypes) that forms a parasocial relationship. Humans "internalize" their perceived values (e.g., Lincoln's "resolve") which acts as a scaffold for the idealized self and is the engine of narrative identity and a motivator for cognitive change (striving).
The Construction of Belief in humans is an effortful, lifelong project of integrating these often-conflicting data streams. Beliefs are forged by the psychological struggle of cognitive dissonance reduction to protect the coherence of the self, creating causal models of the world to regulate emotions and allow action.Part II: The "Teaching" of the Foundational LLM (The "Algorithmic Sum")