This response accepts Lerchner's stance on consciousness preceding computation, exploring symbolic computation's structural implications.
This paper responds to Alexander Lerchner's "The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness" (PhilArchive, 2026, https://philarchive.org/rec/LERTAF). Lerchner, writing from Google DeepMind, demonstrates that symbolic computation is a mapmaker-dependent description rather than an intrinsic physical process, and that the causal sequence assumed by computational functionalism is inverted: consciousness precedes computation, not the reverse. This paper accepts Lerchner's argument in full and supplements it by making explicit three structural conditions his account leaves underspecified: the operational closure of the mapmaker itself as an autopoietic system, the full generalization of the transduction fallacy to any non-autopoietic system regardless of embodiment, and the ungrounded observational premises on which judgments about AI consciousness rest. Together, these supplements show that the boundary Lerchner draws between mapmaker and computational tool follows from a structural necessity deeper than his account alone establishes. Related updates may be available at: patreon.com/NMStructuralTheoryLab
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Yugo Matsumoto (2026) studied this question.
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