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July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.
July 13, 2026
Biologists Discover Unique Properties of MiR-93-5p MicroRNA in Prostate Cancer
Researchers at the International Laboratory of Microphysiological Systems of the HSE Faculty of Biology and Biotechnology investigated how different isoforms of the same microRNA influence gene function in prostate adenocarcinoma. The study found that in some cases, microRNAs can reinforce each other’s effects by targeting and suppressing the same genes. This finding offers a fresh perspective on the molecular mechanisms underlying tumour development and on the search for disease biomarkers. The results have been published in PeerJ.

 

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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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