AI as the New Archival Sleuth: Discovering the Dodo’s Lost History
228
Frontier AI is revolutionizing historical research by surfacing lost archival data, but it requires expert human oversight to interpret the significance of its findings.
Information Retrieval
The science and engineering of searching, indexing, and retrieving relevant information from large collections, including dense retrieval, sparse methods, and hybrid approaches.
Reading List
Scaling LLM Classification via Hallucination and Vector Search
246
Use LLMs to generate hypothetical categories and resolve them to a real taxonomy via vector similarity for cheaper, more scalable classification.
Search as Code: The Programmable Future of Agentic Retrieval
Search as Code transforms search into a programmable SDK, enabling AI agents to build and execute custom, high-efficiency retrieval pipelines via code generation.
The Dimensional Ceiling of Single-Vector Embedding Retrieval
151
Embedding-based retrieval hits a hard top-k capacity ceiling set by embedding dimension, and real systems already run into it.