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Entropy-Gated Bitstream Diffusion Matches Autoregressive Language Models

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itstream diffusion has major advantages over its tokenized counterpart. First, it provides a universal encoding scheme for multimodal data. Language, audio, images, and chemical data can all be represented in a common format. Second, binary encoding compresses vocabulary sizes exponentially! This allows the use of much larger vocabularies with a significantly smaller memory footprint. Now that continuous diffusion for categorical data is taking off... go bitstream! ;)

8:26 AM · May 19, 2026 View on X

Bitstream diffusion has major advantages over its tokenized counterpart.

Universal encoding for multimodal data + exponential compression of vocabulary sizes!

Now that continuous diffusion for categorical data is taking off... go bitstream! ;)

3:40 PM · May 19, 2026 · 1.3K Views