The author expresses a strong desire for a more structured, machine-readable internet, lamenting the current reliance on natural language for encoding information. They highlight existing projects like Wikidata and OpenStreetMap as examples of successful structured data initiatives, contrasting them with the limitations of plain text in social media and search. The piece criticizes Large Language Models (LLMs) as an inefficient, backward solution to this problem, suggesting that improving data structure would be a more direct approach. AI
IMPACT Suggests that a shift towards structured data could be a more efficient approach to information processing than current LLM-based methods.
RANK_REASON Opinion piece discussing the limitations of natural language data encoding and advocating for structured data, criticizing LLMs as an inefficient solution.
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