In Praise of Folly: Illustrated With Many Curious Cuts, Designed, Drawed, and Etched
"In Praise of Folly: Illustrated With Many Curious Cuts, Designed, Drawn, and Etched" lädt die Zuhörer in einen witzigen, tiefgreifenden und absolut entzückenden Vortrag ein, der die Schichten menschlicher Vorstellungskraft und Selbsttäuschung zurückschneidet. Dies ist nicht nur ein Buch, sondern eine großartige, geistige Rede von Folly selbst, einer Persönlichkeit, die sich trotz ihres Namens als der einsichtigste und charmanteste Beobachter der menschlichen Natur erweist, den man sich vorstellen kann. Denn der menschliche Zustand mit seinen liebenswerten Absurditäten, seinen verzweifelten Suchen nach Glück und seiner oft unsichtbaren Abhängigkeit von Illusionen bleibt heute genauso wahr wie immer.Dieses Werk bietet einen Spiegel, der mit einem wissenden Lächeln aufgetragen wird, der unsere kollektiven Eigenheiten und Komfort widerspiegelt und uns bittet, die notwendigen Torheiten zu erkennen, die das Leben nicht nur erträglich, sondern auch wirklich glücklich machen.
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About this production
Human narration by a volunteer reader from LibriVox.org, the public-domain audiobook project. LibriVox volunteers record literary works whose copyright has expired in the United States, releasing the resulting recordings into the public domain.
In Praise of Folly: Illustrated With Many Curious Cuts, Designed, Drawed, and Etched by Desiderius Erasmus. The underlying text is in the U.S. public domain. We do not republish any modern copyrighted edition, translation, or commentary.
The 4K cinematic visuals accompanying this audiobook are generated by an AI image model from prompts derived from the source text. No copyrighted photos, paintings, or stock footage are used. AI generation is disclosed on every video on our YouTube channel as required by YouTube's altered/synthetic content policy.
English subtitles are transcribed from the LibriVox recording with OpenAI Whisper. Translations into the 11 other supported languages are produced by Meta's NLLB-200 neural translation model. No human translator's copyrighted translation is used.
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