The original title is a metaphorical headline about AI context windows. Let me analyze it.

Short summary

The article argues that a larger context window is not memory but an execution surface analogous to CPU cache — fast, temporary, and gone after inference. It maps agentic AI system layers to computer architecture: context window as cache, working memory as RAM, durable memory as filesystem, and reasoning ledger as git history. The key insight is that capacity and communication are different problems; beyond a point, more tokens degrade recall, making deliberate memory infrastructure essential.

• •Context window is an execution surface like CPU cache, not a durable memory system
• •Collapsing memory layers (cache, RAM, filesystem, git history) causes architectural confusion
• •Memory as Infrastructure means deliberately curating what survives beyond a single inference pass

Generated with AI, which can make mistakes.