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March 6, 20260 citationsOpen Access

The Survival Code: An Evolutionary Framework for Biological General Intelligence

KTKalkidan Tadesse

Key Points

  • The aim is to explore how evolutionary mechanisms underpin biological general intelligence using a survival code framework.
  • Proposes a conceptual framework integrating DNA as a survival code.
  • Draws from evolution, abiogenesis hypotheses, and systems theory.
  • Analyzes the role of environment in shaping biological complexity.
  • Frames biological intelligence in terms of predictive integration and cultural amplification.
  • Establishes a link between gene-centered evolution and computational analogies.
  • Emphasizes the brain's role in enabling general intelligence through environmental interaction.
  • Suggests that embodied stakes and selective pressures are necessary for true adaptability in AGI.

Abstract

Abstract Human intelligence and consciousness represent the culmination of billions of years of evolutionary processes, yet their foundations remain rooted in a simple, ancient imperative: survival. This paper proposes a conceptual framework viewing DNA as an interdependent "survival code"—a deterministic set of molecular instructions that, when executed in compatible biological and environmental "runtime" environments, drives replication, adaptation, and persistence. Drawing from abiogenesis hypotheses, evolutionary biology, and systems theory, we trace the code's progression from primitive replicators to multicellular complexity, emphasizing the environment's role as primary sculptor through selection, phenotypic plasticity, and niche construction. The brain emerges as navigational hardware for predictive integration, enabling general-purpose intelligence in humans via neural scale and cultural amplification. This "biological AGI" paradigm unifies gene-centered evolution with computing analogies, avoiding teleology by framing outcomes as statistical differentials under constraint. Implications extend to bio-inspired artificial general intelligence (AGI), suggesting that true agency and adaptability require embodied stakes and selective pressures. This model offers a non-reductive lens for understanding life's informational trajectory and its relevance to engineered systems.

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Cite This Study

Kalkidan Tadesse (2026) studied this question.

synapsesocial.com/papers/69aa7087531e4c4a9ff5a5dchttps://doi.org/10.5281/zenodo.18859034
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