TASUKU Kato

TASUKU Kato

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Building Mim, an experimental iOS SNS that transmits meaning instead of raw images. Using on-device AI (Stable Diffusion, Core ML, SigLIP), we compress photos into semantic representations and reconstruct them locally. Exploring the future of semantic communication. AI enthusiast learning in public from Japan.

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TASUKU Kato•

11d ago

Mim - Transmit meaning, not pixels — Privacy-first AI SNS

Mim is a privacy-first experimental SNS that shares the “meaning” of images instead of pixels. Images are never uploaded; on-device AI extracts semantic data, and the receiver reconstructs visuals locally using Stable Diffusion. This enables low-data, private visual communication. Reconstructed images may differ from originals. Features include privacy modes, Pro mode (fidelity, time, memory), social functions, and full on-device processing. Open source, built with Swift and Core ML.
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