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The Abstraction Fallacy: Why Algorithmic Computation Cannot Instantiate Consciousness

By

Alexander Lerchner

1mo ago· 2 min readenInsight

Summary

This article argues against computational functionalism—the view that consciousness can emerge purely from abstract causal topology regardless of physical substrate. The authors identify this as the "Abstraction Fallacy," contending that symbolic computation is not an intrinsic physical process but a mapmaker-dependent description requiring an experiencing cognitive agent. They propose a framework separating simulation (behavioral mimicry via vehicle causality) from instantiation (intrinsic physical constitution via content causality), concluding that algorithmic symbol manipulation cannot structurally instantiate experience. The argument does not rely on biological exclusivity but on physical constitution.

Key quotes

· 5 pulled
Tracing the causal origins of abstraction reveals that symbolic computation is not an intrinsic physical process.
It requires an active, experiencing cognitive agent to alphabetize continuous physics into a finite set of meaningful states.
If an artificial system were ever conscious, it would be because of its specific physical constitution, never its syntactic architecture.
Establishing this ontological boundary shows why algorithmic symbol manipulation is structurally incapable of instantiating experience.
We do not need a complete, finalized theory of consciousness to assess AI sentience—a demand that simply pushes the question beyond near-term resolution and deepens the AI welfare trap.
Snippet from the RSS feed
Computational functionalism dominates current debates on AI consciousness. This is the hypothesis that subjective experience emerges entirely from abstract causal topology, regardless of the underlying physical substrate. We argue this view fundamentally

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