
Unified Theory of Learning & Generalization
By Justin Z. MartinezLength2h 4m
About this audiobook
Unified Theory of Learning & Generalization
At root, what’s missing is a principled, unified theory of how generalization, representation, memory, reward, and adaptation all integrate. Human cognition seems to have solved this. Today’s models… haven’t. Until we solve that — progress will remain uneven, brittle, and surprising in both good and bad ways.
Audiobook details
GenreTechnology
Length2 hrs 4 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateDec 1, 2025
LanguageEnglish
Table of contents
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
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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?