🧠
Information Theory
From Electrons to Meaning
🗺️Territory Map▾
Ch 0 — The Map of the Territory
🎯⚡
∑Mathematical Foundations▾
Ch 1 — What Is a Computer?
🎯⚡
Ch 2 — Electricity
Ch 3 — Semiconductors
Ch 4 — Transistors
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Ch 5 — Logic Gates
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Ch 6 — Boolean Algebra
Ch 7 — Binary
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🧠Neural Networks▾
Ch 8 — Bits and Bytes
Ch 9 — Data Representation
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Ch 10 — CPU and Machine Code
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⚡Transformer Architecture▾
Ch 11 — Memory
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Ch 12 — Operating Systems
Ch 13 — Programming Languages
Ch 14 — Communication
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Ch 15 — Information Theory
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📈How Models Learn▸
🎯Alignment Systems▸
⚙️Inference Systems▸
📊Evaluation Systems▸
🖥️Distributed Training▸
🔀Mixture of Experts▸
💭Reasoning Models▸
🤖Agents, RAG & MCP▸
🚀Building Frontier AI▸
Chapters read0/25
📡 Signal path

Information Theory

A visual route from bits and probability to entropy, communication, compression, and meaning.

13 parts25 chapters29 terms
📡
BitsCodeEntropySignalAI
Bits → uncertainty → meaning
Version 3.0 · 2026

From Electrons to Meaning

25 Chapters · From Fundamentals to Frontier Systems

25
Chapters
13
Parts
7
Quizzes
29
Terms
📍 Choose a Learning Path
Novice Path
Ch 0 → Read straight through the stack
Engineer Track
Focus on logic, binary, and computation
Researcher Route
Deep dive into entropy, compression, coding
Executive View
Strategy, limits, and open questions
🗺️Part 0 — Territory Map
⚡🎯
Ch 0
The Map of the Territory
The complete vertical stack — from electrons to meaning
∑Part 1 — Mathematical Foundations
⚡🎯
Ch 1
What Is a Computer?
Before we ask how, we must ask what.
Ch 2
Electricity
What is actually flowing?
Ch 3
Semiconductors
Where insulators learn to conduct on command.
⚡
Ch 4
Transistors
One signal controls another.
⚡
Ch 5
Logic Gates
From switches to propositions.
Ch 6
Boolean Algebra
The mathematics underlying every digital system.
⚡
Ch 7
Binary
Why two states, and why not three.
🧠Part 2 — Neural Networks
Ch 8
Bits and Bytes
A bit is not a small thing — it is a distinction.
⚡
Ch 9
Data Representation
Numbers, text, images, and audio from the same substrate.
⚡
Ch 10
CPU and Machine Code
How does a sequence of bits become an action?
⚡Part 3 — Transformer Architecture
⚡
Ch 11
Memory
Where does a bit live when no one is looking?
Ch 12
Operating Systems
From transistors to something you can call.
Ch 13
Programming Languages
How humans talk to machines.
⚡
Ch 14
Communication
Source, transmitter, channel, receiver, destination.
⚡🎯
Ch 15
Information Theory
Surprise has a unit.
📈Part 4 — How Models Learn
⚡🎯
Ch 16
Compression
The bound is entropy, not size.
🎯Part 5 — Alignment Systems
⚡🎯
Ch 17
Error Correction
Adding redundancy to preserve information.
⚡🎯
Ch 18
Cryptography
Secrecy is a property of the key, not the cipher.
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Ch 19
Networks
Reliable communication over unreliable links.
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Ch 20
Information and Meaning
Syntax is not semantics.
⚙️Part 6 — Inference Systems
Ch 21
What Is Inference?
Training creates the model. Inference makes the money.
Ch 22
Information-Theoretic Limits
What cannot be done, no matter the engineering.
⚡🎯
Ch 23
Information Theory and AI
Learning as compression.
Ch 24
Research-Level Questions
What remains open.
📊Part 7 — Evaluation Systems
🖥️Part 8 — Distributed Training
🔀Part 9 — Mixture of Experts
💭Part 10 — Reasoning Models
🤖Part 11 — Agents, RAG & MCP
🚀Part 12 — Building Frontier AI