A new arXiv paper introduces Multi-Stream LLMs, a framework that unblocks language models by processing prompts, internal reasoning, and I/O operations in parallel streams. By separating these traditionally sequential tasks, the proposed architecture aims to significantly enhance computational efficiency and overall model performance.