in the immediate future, our notes will be organized for us by large language models (LLMs) like GPT-3.

A better way to unlock the value in your old notes is to use intelligence to surface the right note, at the right time, and in the right format for you to use it most effectively. When you have intelligence at your disposal, you don’t need to organize.

The problem is, we put things into notes because we don't know what we'll use them for.

when you read an old note you have to load its context back into your head about when you took it and why before you understand what it’s saying, and whether or not it’s relevant to the task at hand.

For an old note to be helpful it needs to be presented to Future You in a way that clicks into what you’re working on instantly—with as little processing as possible.

Beyond tagging and linking, LLMs can help create an automated taxonomy of your notes that makes it easier for you to navigate through them.

Our notes are a reflection of our lives. Think about using an LLM to summarize a key relationship or pattern in your thinking over time. It could produce a history of your mind on a particular topic, including a summary and a timeline of key events that could help you understand yourself, and your world, better.

What you really want is the information in your notes, synthesized and presented to you at the right place and at the right time.

LLMs can truly turn your notes into a second brain. They can enrich notes as you’re writing them to create more context, automatically taxonomize and synthesize them, and present them back to you in a way that clicks later on—so you can actually use them.

In the future, notes won’t be organized by us—they’ll be organized for us. The ultimate tool for thought is tools that think.