Anthropic

Introduction - Why talk about RAG in 2026? As we keep surfing the AI wave, one of the recurring topics of discussion is cost. If you’re a frontier lab like OpenAI or Google, you scale up by building data centers and buying put options on energy. If you’re a major company like Uber or Snowflake, you start by building “tokenmaxxing dashboards”, until you inevitably need to place guardrails on how much your employees spend; Uber is capping its engineers to $1,500 per month. ...

Table of Contents Table of Contents Why this matters Achieving your potential requires guardrails Getting practical about the mission 1. Network Protocols - How AI talks to the world 2. Sensor Data - How AI perceives the physical world 3. Construction - Where it all converges in a lagging industry 4. Cryptoeconomics - What happens when you give an agent money Putting it all together Closing thoughts I was recently talking to someone about the importance of AI safety in today’s rapidly changing world. They asked me: “So what’s your mission? What would be on Daniel’s desk Monday morning to tackle this?” ...