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Gašper Beguš

@begusgasper • 8,823 subscribers

Assoc. Professor @UCBerkeley Interpretable AI and language @Interpret_AI PI @BerkeleySCLab Linguistics Lead @ProjectCETI🐳 College Principal of Bowles🏰

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This project argues that latent space—the learned, multidimensional, representational substrate of neural networks—is not only a mathematical construct but, read through literature, a structure akin to architectural interiority that renders the abstract physically legible.

This project argues that latent space—the learned, multidimensional, representational substrate of neural networks—is not only a mathematical construct but, read through literature, a structure akin to architectural interiority that renders the abstract physically legible.

10,671 views

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This project argues that latent space—the learned, multidimensional, representational substrate of neural networks—is not only a mathematical construct but, read through literature, a structure akin to architectural interiority that renders the abstract physically legible.
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This project argues that latent space—the learned, multidimensional, representational substrate of neural networks—is not only a mathematical construct but, read through literature, a structure akin to architectural interiority that renders the abstract physically legible.

Gašper Beguš

10,671 views • 2 months ago

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