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From seeing to understanding

Representation & understanding

The same object can be a list of numbers, a picture or a movement. What does a new representation reveal—and what can it make us think we understand?

8readings · three paths
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What becomes visible when you change representation?

No need to relearn a whole mathematics course. Begin with a concrete question: what changes when you change the view?

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01

A different view reveals structure

Compare representations, then revisit matrices through geometry.

01What becomes visible when you change representation?An average, a spectrum and a geometric diagram each foreground a different structure. Before asking which view is intuitive, ask which comparison you need it to support.73 sources · traceable passages02What does a matrix do, and which outputs can disappear?Read a column as an arrow, then a matrix as an action on that arrow. Solving an equation becomes a question about reachable targets, giving collapse, eigenvectors and rotations a geometric interpretation.12 sources · traceable passages03What is missing from a picture of brightness?Follow rotating hands, short tones and holographic exposures to separate three questions: what is in a wave, what the observation window permits, and what the instrument actually records.13 sources · traceable passages
02

It looks that way. But is it?

What lies between an image and a proof, or a smooth path and smooth motion?

01Is the shape in an image the shape of the object?A black hole’s shadow and a rotating shape in infrared footage arise in very different physical settings. Both invite the same reading habit: trace light and the imaging system before interpreting the shape on the screen.3 sources · traceable passages02When does a pattern in a picture become a proof?A tiling suggests a conjecture, a new encoding turns rectangles into collisions, and a plotting rule creates spirals before primes even enter the picture. What work does each picture actually do?12 sources · traceable passages03The path looks smooth. Why does the camera still jerk?Follow two complementary explanations by Freya Holmér: first inspect how progress along one curve is measured, then how two curves join. Constant speed, continuous tangents and continuous curvature are different requirements.2 sources · traceable passages
03

Make gaps in understanding visible

Use feedback and fresh explanations to expose what only felt understood.

BEYOND THIS FIELD

Take a question into another field.

These links come from existing readings. They do not imply that two fields share the same standards of proof.

Testing & evaluation →
An editorial connection

Familiar questions and real mastery

Doing well under familiar conditions may only mean recognising a pattern seen before. Both readings ask for a test in a new setting, whether the one being tested is a model or a student.

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a valid environment, many repetitions, timely feedback, and thousands of hours of deliberate practice.
The Expert Myth · 16:33 ↗
At its core, expertise is recognition.
The Expert Myth · 16:22 ↗
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Software & systems →
An editorial connection

Think it through, or try it?

Rich Hickey argues that most software problems are misconceptions and that you should step away to think. The other reading sets this slow thinking beside instant feedback: quick trials expose behaviour but need not correct a mistaken idea.

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most of the big problems we have with software are problems of misconception
Hammock Driven Development - Rich Hickey · 4:27 ↗
you're going to try stuff and go back
Hammock Driven Development - Rich Hickey · 37:44 ↗
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Learning & intelligence →
An editorial connection

Words as vectors

A transformer turns words into high-dimensional vectors whose directions carry meaning. Reading that claim needs the intuition built in the other reading: a column of numbers is both coordinates and an arrow in space.

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directions in the space have a kind of semantic meaning
Transformers, the tech behind LLMs | Deep Learning Chapter 5 · 14:28 ↗
the ability to translate back and forth between them
Vectors | Chapter 1, Essence of linear algebra · 8:45 ↗
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