May 2026 AI links
(continues April 2026 AI links)

4v26

Local AI O'Reilly

Estimating how much text on the internet is generated flowing data

6v26

Am I Meant To Be Impressed? Ed Zitron

9v26

The AI Revolution Nobody Saw Coming: Why Ontology Just Beat Vector Embeddings Aftab at Medium

Palantir built a $80B empire on it. GraphRAG outperforms traditional RAG by 40%. And 78% of companies realize their data isn't AI-ready because they ignored ontologies. Here's how knowledge graphs are rewriting the rules of enterprise AI.

...Welcome to the ontology revolution. Where structured knowledge beats unstructured vectors, semantic reasoning defeats keyword matching, and the AI systems that will dominate 2026–2030 aren't the ones with the biggest models — they're the ones with the deepest knowledge graphs.

...What ontology actually is:

A formal representation of knowledge as concepts and relationships that machines can reason over.

Think of it as the "physics" of your domain — the fundamental entities, their properties, and the laws governing how they interact.

10v26

Semantic Layers Translate &mdas h;Ontologies Reason — And here is why that doesn't matter for enterprises (for now)! Suresh Kandula at Medium

...This post is to deep-dive from theory to practice from scratch. We will build all the layers of the ontology stack by hand.

Personal Agentry Doc Searls

...In Know your .agent, Esther Dyson suggests that we need a DNS-like registry of AI agents. She and her colleagues at the Agentic AI foundation (agentcommunity.org) have started one, and it has some good premises, such as accountability for AI agents and their operators. .agent is clearly designed—so far—to make Anthropic, Google, Microsoft, OpenAi, Perplexity, et. al. accountable for what their agents do. But what about personal agents: ones that are entirely ours? That's what I would want respected if such a registry were required for all the world's AI agents.