About this book
Summary
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.Book information
Genre
Technology
Length
2 hrs 4 mins
Publish date
Dec 1, 2025
Language
English
About the Author
Justin Z. Martinez
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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