The article discusses how recent advancements in AI, particularly with models like ChatGPT-5, have shifted from improving inherent reasoning capabilities to relying on external tools for problem-solving. This change has led to a stagnation in model enhancement, prompting a reevaluation of AI architectures and methodologies needed to foster genuine progress in reasoning and productivity within the industry.

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.