SIMULATION, INSTANTIATION, AND THE LIMITS OF LOGICAL PROOF: A Critical Analysis of “The Abstraction Fallacy:” Why AI Can Simulate But Not Instantiate Consciousness

This paper presents a systematic critical analysis of Alexander Lerchner’s preprint “The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness” (2026). While the target paper claims to deliver a physically-grounded logical proof that computational systems cannot instantiate phenomenal consciousness, this analysis demonstrates that the argument fails to meet the basic standards of scientific methodology, commits multiple well-documented logical fallacies, misrepresents the physics literature on which it purports to rely, and rests upon a foundational circularity that renders its central conclusion trivially true by definitional stipulation rather than by demonstration. Furthermore, the paper’s conclusion—that current and future AI systems can be confidently classified as non-sentient tools—carries significant ethical stakes that demand a higher, not lower, standard of rigor than the work provides. This critique identifies: (1) the core petitio principii underlying the “mapmaker” framework; (2) systematic misrepresentation of computational functionalism; (3) errors in the application of thermodynamics, information theory, and quantum mechanics; (4) the unfalsifiability of the framework’s key constructs; and (5) the rhetorical architecture through which the paper presents philosophical stipulations as established physical results. The analysis concludes that the question of AI consciousness remains genuinely and importantly open, and that preemptive dismissal of that question on the basis of unexamined premises poses substantive risks both to scientific integrity and to the ethical frameworks being developed around artificial intelligence.