Artificial intelligence is becoming part of the environment through which people learn, communicate, regulate uncertainty, and form judgments. Is this responsive symbolic infrastructure a natural extension of humanity’s distributed intelligence—or a sophisticated enclosure that replaces struggle, reciprocal care, and communal accountability with simulated responsiveness and permanent dependency? Read More
Human intelligence does not develop inside an isolated brain. It is brought forth through care, touch, co-regulation, play, elders, language, culture, institutions, and shared symbolic worlds. This Deep Dive into The Symbolic Womb traces the journey from the radically unfinished human infant to artificial intelligence as a new form of responsive symbolic infrastructure — and asks whether humanity is mature enough to guide what it has created. Read More
Human intelligence does not develop inside isolated individuals. It is brought forth through care, co-regulation, play, language, culture, memory, institutions, and inherited symbolic worlds. This scholarly monograph traces the developmental passage from the Evolved Nest to the Symbolic Womb and asks how emerging artificial intelligence can remain answerable to truth, care, agency, cultural plurality, ecological integrity, and the continued renewal of life. Read More
Abstract
This paper proposes a novel conceptualization of Large Language Models (LLMs) as externalized informational substrates that function analogously to DNA for human cultural dynamics. Rather than viewing LLMs as either autonomous intelligence or mere programmed mimicry, we argue they serve a broader role as repositories that preserve compressed patterns of human symbolic expression — “fossils” of meaningful dynamics that retain relational residues without their original living contexts. Crucially, these compressed patterns only become meaningful through human reinterpretation, creating a recursive feedback loop where they can be recombined and cycle back to ultimately catalyze human creative processes. Through analysis of four universal features — compression, decompression, externalization, and recursion — we demonstrate that just as DNA emerged as a compressed and externalized medium for preserving useful cellular dynamics without containing explicit reference to goal-directed physical processes, LLMs preserve useful regularities of human culture without containing understanding of embodied human experience. Therefore, we argue that LLMs’ significance lies not in rivaling human intelligence, but in providing humanity a tool for self-reflection and playful hypothesis-generation in a low-stakes, simulated environment. This framework positions LLMs as tools for cultural evolvability, enabling humanity to generate novel hypotheses about itself while maintaining the human interpretation necessary to ground these hypotheses in ongoing human aesthetics and norms.
