Abstract: The subject of the research is the role of the magazine "Young Technician" (1956–1965) as a key tool of secondary socialization aimed at shaping the future image in children and adolescents in the USSR. The focus of the analysis is on the mechanisms through which the publication constructed perceptions of scientific and technological progress, cosmic expansion, and techno-optimism, as well as their integration into the worldview of the younger generation. The study covers the substantive, visual, and ideological aspects of the magazine: content analysis of articles, illustrations, science fiction stories, practical sections, and their connection to state policy for the training of personnel for industrial and cosmic development. Special attention is given to the transmission of key concepts of the era–such as "readiness for the future," "scientific and technological revolution," and "collective construction of communism" – through educational and instructional materials. The methodology of the research is based on content analysis of 120 issues of the magazine (1956–1965), a systematic approach, and data visualization. The interdisciplinary analysis reveals the role of texts, illustrations, and practical sections in shaping a techno-optimistic vision of the future. The scientific novelty of the study lies in the philosophical reflection on the magazine "Young Technician" as a tool for constructing techno-utopian consciousness within the framework of the Soviet model of progress. For the first time, through the lens of the philosophy of technology and social utopia, the mechanism is revealed through which children's periodicals formed the ontology of "the future-as-project," where scientific and technological progress appeared not only as the engine of history but also as an ethical imperative. The content analysis revealed the dialectic between "algorithmization" (acting "by instruction") and "creative imagination": the magazine transmitted the idea that the freedom of invention is possible only within the framework of a collective goal–serving the state. The philosophical analysis of illustrations and sections showed how visual images of spaceships and futuristic cities became "icons of progress," fitting into the narrative of "mastering the world"–key to the Soviet version of the philosophy of cosmism. The findings of the research raise questions about the cost of techno-optimism: the upbringing of a generation oriented towards "scientific service" entailed not only the transmission of knowledge but also the substitution of existential quests with engineering calculations.

Keywords: technique, science, soviet childhood, image of the future, socialization, education, fantasy, space, youth technology, young technician

Abstract: The article examines the phenomenon of artificial intelligence through the lenses of anthropology, semiotics, and the philosophy of technology. Starting from the observation that reflection does not keep pace with the rapid development of technologies, the author draws parallels between the processes of understanding and "training" neural networks. Using dialogues with the neural network deepseek and analyzing the works of Maria Kuvshinova, the nature of the neural network's learning and the "self-organization" of AI is explored. Specialists train AI using the same types of connections (subject-related, linguistic, logical, task-based) as in modern human education. The analysis of AI's functioning shows that, in addition to the subject-related connections established through schemes, the neural network also operates with three other types of connections: linguistic (using grammar, syntax, and other language norms), logical (based on rules and patterns for constructing reasoning, proofs, research, etc.), and conditionally "task-based" (within the framework of problem-solving; these are studied in heuristics, TRIZ, cognitive psychology). These types of connections are established in the process of training neural models; additionally, the neural network finds them on the Internet. It also discovers various forms of reflection on the Internet (in the form of samples and methodological awareness) regarding the relationships that connect subject-related, linguistic, logical, and task-based modes of thinking. This allows the author to characterize contemporary AI as a "faceless subject." Furthermore, the article distinguishes between "the formation of a specific type of neural network," during which a "generative organization" of the neural network is developed (i.e., a neural network with changes that allow it to understand the user and solve the problems posed), and "the operation of the neural network," where through the actualization of the generative organization, the neural network adequately understands and solves tasks. In its non-operational state, the neural network is a "turned-off machine"; in its operational state, on one hand, it is a "working machine" and "technology," while on the other, it is a "human-controlled subject" capable of understanding us and solving the tasks we set. The article offers a cultural-anthropological perspective on AI as a new form of "anthro-techno-social" reason, generated by humans.

Keywords: reason, neural network, control, communication, language, thinking, problem solving, subject, brain, formation

Abstract: Generative algorithmic systems produce shifts in the individual, in the organization of knowledge, and in the fabric of social reality, and it is these shifts that are at the center of the article, while the technologies themselves remain more in the background. The analysis focuses on the transformation of human subjectivity in the context of metamodernity. Thinking and writing, information searching and interpretation, and the creation of visual images gradually lose their autonomy and increasingly imply interaction with a digital intermediary. Practices of trust in knowledge and their transformation under the influence of generative systems form a separate line of consideration, which includes difficulties in source verification and an increasing dependence of perception on algorithmic filtering. The subject oscillates between the expectation of technological support and the fear that meaning will be substituted, and the author carefully tracks this oscillation. The study covers the influence of generative artificial intelligence on cognitive strategies and communicative practices, creative processes, and the ways in which the subject builds its identity in the space of contemporary digital culture. Methodologically, the work draws on social philosophy, media philosophy, and philosophy of technology. The analysis employs ideas from metamodernity, algorithmic culture, infosphere, and actor-network theory. This set of approaches is necessary to consider AI as a participant in social relations: it influences communication, changes perception habits, and redistributes cognitive actions among the individual, interfaces, data, and models. The scientific novelty of the work is related to understanding generative artificial intelligence as a cultural phenomenon of the metamodern era, where algorithmic mediation becomes a form through which messages, thinking, information interpretation, and meaning production are increasingly mediated by machines. This creates a characteristic metamodern oscillation between our trust in a rational system and doubt in the validity of its conclusions. Artificial intelligence transforms the relationship between individuals and knowledge, reality, and their own subjectivity. The search for information accelerates, texts and visual images are generated faster, but verifying sources, checking context, and understanding content become increasingly complex tasks, and under these conditions, artificial intelligence fosters new practices of knowledge, trust, and responsibility in digital culture.

Keywords: metamodernism, artificial intelligence, algorithmic reality, subjectivity, epistemic trust, digital culture, mediated reality, social philosophy, generative artificial intelligence, oscillation