DeepSeek’s Visual Text Compression Breakthrough Challenges AI Processing Paradigms
DeepSeek’s revolutionary OCR model treats text as images to achieve unprecedented compression ratios. The breakthrough could enable language models with context windows reaching tens of millions of tokens, challenging fundamental AI assumptions.
Visual Text Compression Breakthrough
DeepSeek, the Chinese artificial intelligence research company known for challenging AI development cost assumptions, has reportedly released a groundbreaking model that fundamentally reimagines how large language models process information. According to sources familiar with the release, the DeepSeek-OCR model achieves what researchers describe as a paradigm inversion by compressing text through visual representation up to 10 times more efficiently than traditional text tokens.