Unified Theory of Learning & Generalization

Unified Theory of Learning & Generalization

By Justin Z. Martinez
Michael Caine
Listen with Sir Michael Caine™ and 1,000+ voices
Length2h 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
2❖ Why Generalization Is the Grand Challenge
3❖ Limits of Scaling Laws and Benchmarks
4❖ Toward Unified Intelligence
5Chapter 2: The Paradigm Problem
Show all chapters
6❖ From Pretraining to Reward: Broken Composability
7Fine-tuning teaches task performance.
8❖ The Disintegration of Representation, Memory, Value
9❖ The Case for a Unified Theory
10Chapter 3: What Is Generalization?
11❖ Formal Definitions and Informal Intuitions
12❖ Interpolation vs Extrapolation
13❖ Inductive Biases, Priors, and the Shape of Knowledge
14Chapter 4: Comparative Cognition
15❖ Human vs Machine Learning: A Systems Comparison Part 1
16❖ Human vs Machine Learning: A Systems Comparison Part 2
17❖ Human vs Machine Learning: A Systems Comparison Part 3
18❖ Human vs Machine Learning: A Systems Comparison Part 4
19❖ Human vs Machine Learning: A Systems Comparison Part 5
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