If you work in tech, or anywhere near it, you know the pattern. A new thing shows up, everyone starts chasing the shiny new thing, and the content machine kicks in: “X is game-changing.” “Automation is over.” “AI is eating the world.” “Your job is next.”
AI is not just another shiny thing. The technology is real.
But the conversation around it? Broken. There’s a vicious cycle: people feel FOMO, so apocalyptic headlines become more relevant, which generates more FOMO, which feeds more apocalyptic headlines. You get it. The problem is not that people don’t care about AI. The problem is that the noise makes it harder to actually understand it.
So I started writing these notes.
Not tutorials. I’m not here to teach you prompts that will be obsolete in six months. Not news. The landscape shifts so fast that anything about “the latest” would expire before you finish reading it. And definitely not one of those “10 AI tools that will change your life” posts. (They won’t. You know it. I know it.)
Each note takes one, two, maybe three concepts that already existed before AI and uses them to look at one face of this thousand-headed dragon. Ideas from your career. From design. From engineering. From how organizations actually work.
Why existing concepts? Because I think the most useful thing right now is not to learn something new. Not saying that’s useless, but it’s not the most important move. The most important move is to realize that what you already know is something you can leverage, and it’s more relevant than ever.
Your experience? Your years in the field? That’s not what AI replaces. That’s what makes AI work.
(That’s my whole thesis. Two sentences. The rest of this series is me trying to prove it.)
Who is this for
Curious people who want to understand AI without the noise. And people who are done with the FOMO cycle but don’t want to disconnect from the conversation entirely.
How this works
Each note plays with a few “legacy” concepts to make sense of AI. I cite everything because nothing here is new. My thing is connecting dots between places that don’t usually talk to each other. I have opinions and I’ll tell you when something is my opinion vs. a fact.
These are not papers. Food for thought between two coffees.
The notes
- ATTENTION is all you need – Prequel
- AI fluency is all you need — coming soon
- Z is all you need — coming soon
- X are all you need — coming soon
- Y thinking is all you need — coming soon
This page is alive. New notes show up as I write them.
The series name is a nod to “Attention Is All You Need,” the 2017 paper that introduced the transformer architecture behind every major AI model today. If you’ve never heard of it, good. That’s one of the dots we’ll connect.
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