1Introduction: The Missing Framework
11❖ Formal Definitions and Informal Intuitions
2❖ Why Generalization Is the Grand Challenge
12❖ Interpolation vs Extrapolation
3❖ Limits of Scaling Laws and Benchmarks
13❖ Inductive Biases, Priors, and the Shape of Knowledge
4❖ Toward Unified Intelligence
14Chapter 4: Comparative Cognition
5Chapter 2: The Paradigm Problem
15❖ Human vs Machine Learning: A Systems Comparison Part 1
6❖ From Pretraining to Reward: Broken Composability
16❖ Human vs Machine Learning: A Systems Comparison Part 2
7Fine-tuning teaches task performance.
17❖ Human vs Machine Learning: A Systems Comparison Part 3
8❖ The Disintegration of Representation, Memory, Value
18❖ Human vs Machine Learning: A Systems Comparison Part 4
9❖ The Case for a Unified Theory
19❖ Human vs Machine Learning: A Systems Comparison Part 5
10Chapter 3: What Is Generalization?
