Oct 24, 2026

How Bridgewater Turned 100 Million Documents Into an Edge - Sam Green & Aaron Linsky, Bridgewater

Bridgewater Associates' Applied AI and product engineering leads explain how they built the Vault, a governed repository of more than 100 million unstructured documents, and why humans and agents need different things from the same search system. They cover a hand-built benchmark that lifted precision at 10 from about 60% to over 90%, the filtering and scaling choices behind it, and the shift toward proactive agents that bring investors the topics most deserving of their attention.

Oct 07, 2026

Grep or Embeddings? Agentic Search Over Company Documents — George He, LlamaIndex

George He, head of engineering at LlamaIndex, explores when agents need pre-indexed vector search and when plain file traversal with grep is enough. He contrasts Claude Code's embedding-free approach on code with the harder reality of large, messy, multimodal, permissioned company documents, and proposes a harness of hybrid retrieval, metadata filtering, grep, and reading tools backed by LlamaParse and LiteParse. The talk closes with a live demo of an agent building a cash-flow table from 135 Alphabet filings, grounded in source files.

Oct 31, 2025

No Priors Ep. 138 | The Best of 2025 (So Far) with Sarah Guo and Elad Gil

A recap of key conversations from the No Priors podcast in 2025, featuring insights from leaders at OpenAI, Harvey, and the Center for AI Safety on topics ranging from reasoning models and spatial intelligence to the geopolitical risks of superintelligence and the human impact of AI in healthcare.