Vol. IV · 39
Twelve Pieces, One Working Model
Building Blocks · Part 0
Somewhere between "it's just predicting the next word" and a hundred-billion-dollar training run sits an actual mechanism.
Read entryFig. I — Filtered by tag
Tag:explainer
19 meditations tagged explainer. Back toall tags or the full archive.
Clippings
Vol. IV · 38
Are we close to AGI, or is it all hype?
Foundations · Part 9
The question that started this whole series, revisited now that you actually know how the current stuff works.
Read entryVol. IV · 37
Who owns intelligence?
Foundations · Part 8
One camp locks the recipe in a vault. The other publishes it for anyone to copy, tweak, and rebuild.
Read entryVol. IV · 36
Why "just the data" isn't neutral
Foundations · Part 7
AI doesn't invent its opinions from nowhere. It learns them — including the ones we'd rather it didn't — from us.
Read entryVol. IV · 35
Will AI take my job?
Foundations · Part 6
The honest, non-clickbait version: it depends less on your job title than on which parts of your day you spend on.
Read entryVol. IV · 34
When AI stops answering and starts doing
Foundations · Part 5
A chatbot waits for you to ask again. An agent keeps going on its own — for better and occasionally for worse.
Read entryVol. IV · 33
Talking to AI is a skill now
Foundations · Part 4
Same model, wildly different results — depending only on how you ask. Here's why, and how to ask better.
Read entryVol. IV · 32
How computers learned to create
Foundations · Part 3
Not copy-paste. Not a collage of stolen pieces.
Read entryVol. IV · 31
The idea that changed everything
Foundations · Part 2
One clever trick called "attention" is the real reason AI suddenly got good. Here's the whole idea, no math required.
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