This article outlines how Oxide approaches the use of large language models (LLMs) in various contexts, emphasizing responsibility, rigor, empathy, teamwork, and urgency. It discusses specific applications of LLMs, such as reading, researching, editing, and writing, while highlighting potential pitfalls and the necessity of human oversight.

An LLM should focus solely on tool calls and their arguments, which allows for a more efficient and specialized use of external tools that can handle large-scale tasks and improve the editing process. By utilizing infinite tool use, LLMs can interleave different levels of task execution, backtrack to correct mistakes, and manage long contexts more effectively. This approach is seen as a significant evolution in model architecture and functionality, enhancing capabilities across various domains like text editing, 3D generation, and video understanding.