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News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Искусственный интеллект как симулякр смысла

Галактика медиа: журнал медиа исследований. 2025. Т. 7. № 4. С. 154–173.
Малинов С. А.

In recent years, artificial intelligence (AI) has been actively integrated into everyday human life. Its popularity continues to grow steadily, and companies increasingly employ AI to optimize and accelerate workflows. Ordinary users leverage large language models (LLMs) and multimodal AI systems to perform a wide range of tasks, including generating texts, images, and videos; planning their daily schedules; and searching for information, among others. The rapid integration of AI into diverse spheres of human activity gives rise to a number of fundamental challenges such as the simulation of meaning, the substitution of human agency, and other issues that threaten personal identity and autonomy. An increasing number of cognitive and creative functions – such as text generation, decision-making, and reflection – are being delegated by humans to AI systems. Consequently, it becomes critically important to explicitly identify and articulate the problems emerging from human–AI interaction and to develop ethically and cognitively sound frameworks for such interaction. This article examines current trends and key challenges associated with the integration of AI into everyday life. It introduces the concept of “meaning simulation” – a phenomenon whereby AI models function as simulacra of meaning, creating an illusion of understanding, thought, and meaning. The paper proposes a conceptual framework for productive human–AI collaboration and outlines a positive scenario for its implementation. This article will be of interest to researchers and professionals working in artificial intelligence, philosophy of science and technology, cognitive science, as well as to anyone concerned with contemporary technological trends and their social, ethical, and existential implications.

Research target: Philosophy, Ethics, and Religious Studies Media and Communications
Language: Russian
DOI
Text on another site
Keywords: симулякргенерация текстаТест Тьюрингаtext generationязык и речьsimulationssimulacraA. TuringTuring testА. ТьюрингИскусственный интеллектArtificial IntelligenceБольшие языковые модели (LLMs)Large Language Models (LLM)Simulacra of MeaningAI SlopperOrganiprojectionProblems of Artificial Intelligenceорганопроекциясимулякр смыслаИИ слопперпроблемы искусственного интеллекта
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