Respectful Skepticism About Strong Impossibility Claims in The Abstraction Fallacy

Alexander Lerchner's The Abstraction Fallacy offers one of the clearest recent arguments against the claim that advanced artificial systems could ever instantiate consciousness. The paper is intelligent, provocative, and genuinely valuable. Its central service is to challenge naive forms of computational triumphalism and to warn against the increasingly common slide from behavioral sophistication to ontological attribution. On that point, it deserves careful attention. Where it becomes less persuasive is in the transition from critique to closure. It moves from exposing weaknesses in simplified versions of computational functionalism to a much stronger conclusion, namely that algorithmic symbol manipulation is structurally incapable of instantiating consciousness. This article offers a respectful but firm reply. It argues that Lerchner's case depends on a contested conception of computation, treats concept formation as if it must already presuppose phenomenal consciousness, and too quickly converts underdetermination in interpretation into an impossibility theorem for machine sentience. It also moves too easily from limitations of current digital architectures to sweeping claims about all possible future artificial realizations of mind. From the standpoint of long experience in artificial intelligence, especially evolutionary computing, this is the central concern. Search processes often discover workable realizations that prior theory failed to anticipate. For that reason, universal negative claims about future forms of artificial organization should be made with unusual restraint. The more prudent conclusion is not that present AI systems are conscious. It is also not that artificial systems can only simulate and never instantiate consciousness. The stronger claim has not been established. A wiser position is disciplined uncertainty. Present systems do not provide compelling evidence of consciousness. Behavioral sophistication alone is not enough. The ontology of computation remains contested. But none of this yet licenses a final verdict on the outer limits of artificial mind.