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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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Сайнс-арт и китч: компьютерное искусство на основе больших языковых моделей

Коммуникации. Медиа. Дизайн. 2024. Т. 9. № 2. С. 45–64.
Milovidov S.

Today the emergence of large language models has led to the spread of popular graphic neural network generators (DALL-E, MidJourney, Stable Diffusion, Kandinsky, etc.). There was the reason of the widespread implementation and democratisation of artistic practices. The article analyses the processes of disappearance of the boundaries between art and kitsch in relation to computer art. The article considers the kitschisation of generative neural network graphics and the ways of overcoming it by means of appealing to scientific knowledge and the art direction of seins-art, as well as new artistic practices and contradictions arising in this connection.

Research target: Art History
Language: Russian
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Keywords: искусственный интеллекттрансгуманизмtranshumanismнейросетиartificial intelligencescience artkitschкитчposthumanismПостгуманизм в искусствесайнс-артбольшие языковые моделиlarge language model (LLM)neural network
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