In the last post, I talked about how AI has changed the way I work with ideas.
Not just sparking them, but expanding them — turning half-formed thoughts into something developed enough to revisit later. That led naturally to the question of idea capture: once AI helps you explore something, where does it go so it doesn’t disappear?
But ideas aren’t the only thing that deserve this treatment.
Knowledge does too.
We Consume a Lot More Than We Create
Most of the time, we’re not generating original ideas.
We’re:
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reading articles
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listening to podcasts
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watching talks
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skimming books
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coming across insights from other people
And occasionally, something jumps out.
Not the whole piece — just a paragraph, a concept, a way of framing something that feels useful.
You think:
“I want to remember this.”
So you highlight it.
Or copy it into notes.
Or scribble something down.
And then… you never see it again.
The Problem With Traditional Notes
The issue isn’t that we don’t take notes.
It’s that most notes are:
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fragments
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decontextualized
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hard to search
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impossible to rediscover at the right moment
Six months later, you find a sentence you wrote down and think:
“Why did this matter to me?”
The insight is gone — not because it wasn’t valuable, but because it was never processed.
AI Changes What “Taking Notes” Can Mean
This is where AI quietly changes everything.
Instead of saving raw notes, you can capture understanding.
Here’s what that looks like in practice:
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You read something and find an idea valuable
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You copy the relevant passage
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You give it to AI and say:
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“Can you summarize this in plain language?”
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“Why is this important?”
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“How might this apply in practice?”
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“Can you put this in context?”
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If the idea is complex, AI can simplify it.
If it’s interesting but abstract, AI can ground it.
If it’s not your idea, AI can help you internalize it.
At that point, you don’t just have a note.
You have a developed piece of knowledge.
From Notes to Knowledge Artifacts
Sometimes, I take this one step further.
If an idea feels especially useful, I’ll ask AI to turn it into a short article or blog-style explanation — including:
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what the idea is
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why it matters
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how it could be used
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and where it came from
If it’s from an external source, I’ll keep a link or attribution.
The goal isn’t publishing.
It’s making the idea legible to my future self.
One Place for Ideas and Knowledge
I store these knowledge pieces the same way I store my own expanded ideas — on my Read Eric’s Mind site.
That site isn’t just a collection of things I’ve thought.
It’s also a collection of things I’ve learned, processed, and decided were worth keeping.
Because everything is:
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written in complete form
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categorized by major area
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tagged by more specific themes
I can stumble across old knowledge the same way I stumble across old ideas.
And when I do, it’s not a cryptic sentence fragment.
It’s something I can actually re-enter.
Why This Matters More Than Ever
AI makes:
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ideas easy to expand
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information easy to access
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summaries easy to generate
The real bottleneck isn’t creativity or learning anymore.
It’s retention and retrieval.
If you don’t have a system for capturing:
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the ideas you generate
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and the knowledge you encounter
You’re constantly re-learning the same lessons and re-discovering the same insights.
Capturing Knowledge Is About Future Leverage
This isn’t about building a second brain or creating a perfect system.
It’s about something simpler:
When something matters, don’t let it dissolve back into noise.
AI makes it possible to:
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turn learning into artifacts
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turn notes into understanding
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and turn fleeting insights into something durable
Where you put those artifacts matters less than the fact that they exist — in a form you can find again.
For me, that place is a quiet, organized library of ideas and knowledge I can revisit when the time is right.
And over time, that library becomes more valuable than any single conversation.