Jeff Liu Lab
Home
Projects
Workshop
AI Wiki
AI Lab
Shop
中
Sign In
All
Computing Science
Artificial Intelligence
Deep Learning
Reinforcement Learning
AI Agents
Embodied Intelligence
Robot Engineering
Human-Like Intelligence
AI Engineering
← Back to Wiki
Human-Like Intelligence
Introduction to Human-Like Intelligence
Philosophical Foundations
Neuroscience Insights
World Models
Causality & Representation
Meta-Learning & Self-Improvement
Comments (0)
Sign in to comment
Table of Contents
The Core Question: Why Are Large Language Models Not Enough?
LeCun's Thesis: Language Models Are a Dead End for AGI
The Landscape of Human-Like Intelligence Research
Ring 1: Philosophical Foundations — What Is the Nature of Intelligence?
Ring 2: Neuroscience Insights — How Does the Human Brain Do It?
Ring 3: World Models — The Core Path Toward Machine Understanding of the World
Ring 4: Causality and Representation — Key Capabilities Beyond Correlation
Ring 5: Embodiment and Intuitive Physics — Grounding in the Physical World
Ring 6: Meta-Learning and Self-Improvement — Learning to Learn
Key Figures
The Current Landscape
Comments
Comments (0)
Sign in to comment