<ul data-eligibleForWebStory="true"><li>Introducing the Maxwell's Demon Tokenizer (MDT) in language models for entropy-aware tokenization.</li><li>MDT rethinks tokenization through information thermodynamics, aiming to reduce semantic drift and hallucination.</li><li>Proposing real-time entropy optimization for token boundaries, integrating with the Semantic-Information Uncertainty Principle.</li><li>Theoretical groundwork is set for thermodynamically-aware symbolic processing systems in AI architectures.</li></ul>

# The Maxwell's Demon Tokenizer: An Information-Theoretic Framework for Entropy-Aware Symbolic…

Discover more