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#Data

4 posts across all issues

Issue #808 · Sep 4, 2026

How accurate have Ed Zitron's AI skeptic predictions been?

  • danluu.com
  • 879 points
  • 1,056 comments
  • 56 min read

Dan Luu checks about 30 dated predictions the AI skeptic Ed Zitron made in 2024 and 2025. They include that AI had peaked, that OpenAI's revenue forecasts were near-criminal, and that Cursor would die. Luu scores nearly all of them wrong. He says Zitron's numbers decorate anger more than they support an argument.

Issue #807 · Aug 28, 2026

RAG Is Simpler Than You Think

  • lighthousenewsletter.com
  • 516 points
  • 218 comments
  • 9 min read

Most retrieval-augmented generation (RAG) systems are over-built. Rafael Pierre argues that BM25 full-text search, plus an LLM that rewrites the user's query, is enough for about 60% of systems. Embeddings, rerankers and vector databases should come only after measured user complaints.

Issue #807 · Aug 28, 2026

Things I want in a modern relational query language

  • sporks.space
  • 116 points
  • 120 comments
  • 6 min read

A developer who works mostly with MySQL and Db2 argues that SQL's relational ideas are sound. Its implementations are clumsy, and that pushes programmers toward NoSQL. A successor should keep the declarative model. It should add modern syntax, readable query plans, real user-defined types, sum types with pattern matching, and foreign keys that can point at several tables.

Issue #806 · Aug 21, 2026

PostgreSQL for Everything

  • raphaelbauer.com
  • 451 points
  • 269 comments
  • 9 min read

Raphael Bauer argues that Postgres with extensions can replace Elasticsearch, MongoDB, Kafka, Redis, ClickHouse, Neo4j and a vector database. His advice is to start every new need in Postgres and add a dedicated system only when Postgres measurably falls short.