According to Andrej Karpathy on Twitter, the growing dominance of large language models (LLMs) in information processing suggests that traditional research papers, typically formatted as PDFs for human readers, are not suitable for machine consumption (source: @karpathy, Twitter, July 10, 2025). Karpathy identifies a significant business opportunity for developing a specialized 'research app' that creates and distributes research content in formats optimized for LLM attention rather than human attention. This shift requires rethinking data structures, semantic tagging, and machine-readable formats to maximize LLM efficiency in knowledge extraction and synthesis. Companies that pioneer AI-native research publishing platforms stand to capture a new market segment, streamline scientific discovery, and offer advanced tools for AI-driven literature review and summarization workflows.