Mermaid chapter 1
mindmap
root((Capabilities))
Chapter Overview
State-of-the-Art AI
Language
Image Generation
Multi & Cross Modality
Robotics
Playing Games
Foundation Models
Fine-tuning
Limitations & Risks
Terminology
Capabilities vs. Intelligence
Definitions of Advanced AI Systems
Artificial Narrow Intelligence
Artificial General Intelligence (AGI)
Human-Level AI (HLAI)
Transformative AI (TAI)
Artificial Super Intelligence (ASI)
t,n-AGI Framework
Leveraging Computation
The Bitter Lesson
Scaling Laws
Scaling Hypotheses
Weak Scaling Hypothesis
Strong Scaling Hypothesis
Forecasting
Zeroth-Order Forecasting
Reference Classes
Anchors
First-Order Forecasting
Current Trends Analysis
Rate of Change Calculation
Biological Anchors Framework
Evolution Anchor
Lifetime Anchor
Neural Network Anchors
Genome Anchor
Affordability of Compute
Takeoff
Speed
Slow Takeoff
Fast Takeoff
Continuity
Continuous Takeoff
Discontinuous Takeoff
Similarity
Homogeneous Takeoff
Heterogeneous Takeoff
Polarity
Unipolar Takeoff
Multipolar Takeoff
Appendices
Expert Opinions
Surveys
Expert Quotes
Prediction Markets
Discussions on LLMs
Empirical Insufficiency
Shallow Understanding
Structural Inadequacy
Differences with the Brain
Reasons to Continue Scaling LLMs
Trends
Compute Trends
Model Size Trends
Algorithmic Trends
Data Trends