This article explores the epistemological risks of generative AI, drawing parallels between its function and the thought systems of Aleksandr Dugin and Julius Evola. The author argues that AI models, by predicting statistically probable token sequences rather than verifying truth, can inadvertently legitimize and amplify pseudoscientific or ideologically driven content, such as Dugin's geopolitical theories or Evola's anti-empirical traditionalism. This process risks democratizing misinformation by presenting fabricated or unverified content with an authoritative facade, blurring the lines between credible scholarship and propaganda. AI
IMPACT Generative AI's tendency to produce plausible but unverified content could amplify fringe ideologies, posing an epistemological challenge to information verification.
RANK_REASON The article is an opinion piece analyzing the epistemological risks of AI by drawing parallels with specific political and philosophical figures.
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