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Subject
News
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.

 

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Поп-культура, фэндомы и нейросети: фанаты встречаются с ИИ

Мониторинг общественного мнения: Экономические и социальные перемены. 2024. № 5. С. 183–202.
Nim E.

The article is dedicated to the analysis and conceptualization of the processes of dissemination of AI technologies in fan culture. The author examines fandoms as mediatized creative communities, reveals the relationship between artificial intelligence and fan culture, and identifies the practices of generative AI reception using the example of two fan communities (the Fandom wiki platform and the Archive of Our Own fan works repository). The article highlights the main lines of intersection between AI and fandom: AI technologies modify objects of fan interest; change the space, structure and creative practices of fandoms; are integrated into innovative fan services; are used for fandom analytics; foreground issues of ethics and law in participatory cultures. The expansion of artificial intelligence (neural networks in particular) has caused a polarization of fandom: while some fans actively use neural networks to edit and create content, others consider it inappropriate. Preliminary observations in two fan communities showed that critical and protest fan discourses around generative AI are focused on three ideas: a) the use of AI contradicts the concept of fandom; b) today's AI as a technology is imperfect; c) current practices in AI training and application are unethical. The article outlines further prospects for studying the interaction of fandoms with artificial intelligence, which will expand the boundaries of both fan studies and social studies of AI.

 

 

Research target: Media and Communications
Language: Russian
DOI
Text on another site
Keywords: искусственный интеллектpopular cultureпопулярная культураfan cultureгенеративный ИИ artificial intelligenceфэндомыfandomsgenerative AIфан-культура
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