Network States

🧵 Learn Sprint — Day 1
I’m a philosopher.
Not a developer.
But today I started the fast.ai course —
because I believe AI sovereignty starts with learning to think in code.

This is Day 1 of my Learn Sprint.
(1/10)

I didn’t follow the official path.
Skipped the video.
Opened @muellerzr’s notebook.
Ran the code.

The model trained — eventually.
After 10 minutes of setup…
and nearly an hour per epoch. On loop.

(2/10)

That’s when I realized:
Starting from theory feels fast, but it’s passive.
Starting from practice feels slow — but it sticks.

Watching teaches concepts.
Waiting teaches patience.
Building teaches truth.

(3/10)

The model worked.
Loss dropped. Predictions made sense.

But I asked myself:
Could I rebuild it tomorrow — from scratch?
Without guidance?
Without AI?

Not yet.
That’s where real learning begins.

(4/10)

Socrates once said:

“The craftsmen are wiser than the wise, because they act —
but they don’t know why they know.”

Today we could say:
The builders are fast — because AI helps.
But could they build alone?

(5/10)

This isn’t about completing a course.
It’s about building autonomy — not just velocity.
And I’m testing how this could scale.

(7/10)

You could ask:
“Why worry about building without AI —
if it’ll always be there?”

Because it’s not about rejecting AI.
It’s about understanding what it’s doing —
so we can use it better.

I don’t want to depend on AI.
I want to be supercharged by it.
And that starts with learning the fundamentals.

(8/10)

I spent 11 hours on Day 1.
Not just coding — waiting, reading, debugging, reflecting.
My notebook is alive.
So is my doubt.

More tomorrow.

(9/10)

Oh, and about that prediction?

The model said: “Shiba Inu — 91.62% sure.”

Reality said: “Nope.”
Just a lovely mixed-breed dog on some steps.

The model was confident.
But it was confidently wrong.

Just like us, sometimes.
That’s why real learning matters —
beyond the output.

(10/10)

That tension shaped my framework:
Build → Distill → Share → Repeat

Start from motion.
Backfill the meaning.
Teach it forward.

(6/10)