Stanislav Lvovsky (Yury Sorochkin) is a writer, critic, and scholar working on how people think — and fail to think — with large language models. Since 2023 he has taught Neurologic: Thinking with Large Language Models at Prague Media School, an institution of Free Press Unlimited; the methods course has been taken by more than two hundred journalists, researchers, and humanities practitioners across ten cohorts. He is the author of the forthcoming The Smoothness Trap: How to Think With Large Language Models, a methods book for people whose expertise is language and interpretation rather than engineering. Its argument is that the real danger of generated text is not hallucination but fluency — and that what is needed is not caution but working protocols for keeping judgment, provenance, and voice intact when a probabilistic machine enters the writing process.

He came to this work as an editor and a poet, not a technologist. He holds a DPhil from the University of Oxford and was a postdoctoral fellow at the University of Helsinki, and has published with Oxford University Press and Palgrave Macmillan. As Stanislav Lvovsky he is the author of seven books of poetry and a collection of short stories, and a recipient of the Andrey Bely Prize, one of the most prestigious literary awards in the Russian language. He has worked as an editor at Colta.ru — then Russia’s leading independent cultural platform — and at the Strelka Institute for Media, Architecture and Design, and has served as a representative of the Joseph Brodsky Memorial Fellowship Fund.

His current work sits where editorial practice, the history of reading, and machine-generated text meet: what happens to evidence, memory, and authority when fluent prose can be produced faster than it can be checked. He writes on these questions at Substack and Medium.