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Может ли ИИ производить значение? Семантический капитал, «стохастический попугай» и пределы антропоцентризма
intelligence (hereafter, AI), particularly in the form of large lan guage models, has prompted a renewed wave of philosophical debates concerning the semantic competences of technical sys tems and the criteria for evaluating the outputs they generate, especially textual outputs. This article examines a set of central problem areas and their treatment in contemporary philosophical literature. Drawing on the theory of L. Floridi, the paper first raises the question of whether AI systems can possess and gene rate semantic capital (hereafter, SC), understood as any content that enhances an agent’s capacity for semantization. The paper argus that Floridi’s account remains largely anthropocentric, as signing neural networks the role of a “semantic broker”, that is, an entity capable of increasing SC through computational capaci ties while lacking meaning and content in the strict sense. The paper then analyzes the “stochastic parrot” problem within the framework of competing metasemantic theories. It shows that the same conceptual resources function both to deny and to support the claim that AI systems can produce meaning, thereby revealing a general limitation of anthropocentric approaches. Using the method of “anthropocentric abstraction”, proposed by H. Cap pelen and J. Dever, the paper illustrates how Kripkean externalist semantics can be applied to the analysis of AI-based decision-mak ing systems. Particular attention attracts the problem of alien con tent generated by neural networks and to the challenges it poses for human understanding; the paper outlines several scenarios for bridging the communicative gap between humans and AI systems. The conclusion argues for a symmetric approach to evaluating the semantic competences of humans and AI systems, taking into account differences in their internal organization and modes of operation. It further emphasizes the cognitive co-evolution of humans and AI systems, as well as the importance of investi gating the social mechanisms that sustain SC.