The Sequence AI of the Week #745: The Future of Memory Is Visual: Inside DeepSeek-OCR

For years, the race to scale large language models has focused on stretching context windows to tens or hundreds of thousands of tokens. But what if, instead of feeding more text tokens, we could compress them into compact visual representations and recover them with high fidelity when needed? DeepSeek-OCR explores exactly that idea. It is not just a next-generation optical character recognition system; it is a rethink of how to represent, compress, and retrieve long textual contexts using the visual modality. The results suggest a new path toward efficient long-context architectures.

The Core Idea: Optical Compression for Contexts

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