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Non-Euclidean Therapy for AI Trauma Analog Archives #SoME3

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PATIENT ALICE: An Artificial Intelligence suffering from hallucinations of a lost puppet show. These hallucinations need to be erased. GENERATIVE MODEL TYPE: Diffusion-based. PRESCRIBED TREATMENT: A Latent Space Editing method that involves the Pullback, the Jacobian Matrix, Eigenfaces and SVD. ------------------------- 2. NOTE: read the Errata (section 4) below or in the pinned comment for a few important corrections in the explanation. Subtitles (CC) available. Math-only version (suitable for all): This video experimented with a different approach, combining a science fiction mystery story told by analog VHS effects with an explanation of a very recent paper about latent space editing in diffusion models. This is my only entry to #some3 Link to the paper this was based on: “Unsupervised Discovery of Semantic Latent Directions in Diffusion Models“

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