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[New] Concise and Practical AI/ML
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    • Preface
    • Artificial Intelligence
      • Concepts
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        High-level Intelligence
    • Maths for ML
      • Calculus
      • Algebra
    • Machine Learning
      • History of ML
      • ML Models
        • ML Model is Better
        • How a Model Learns
        • Boosted vs Combinatory
      • Neuralnet
        • Neuron
          • Types of Neurons
        • Layers
        • Neuralnet Alphabet
        • Heuristic Hyperparams
      • Feedforward
        • Input Separation
      • Backprop
        • Activation Functions
        • Loss Functions
        • Gradient Descent
        • Optimizers
      • Design Techniques
        • Normalization
        • Regularization
          • Drop-out Technique
        • Concatenation
        • Overfitting & Underfitting
        • Explosion & Vanishing
      • Engineering Techniques
    • Methods of ML
      • Supervised Learning
        • Regression
        • Classification
      • Reinforcement Learning
        • Concepts
        • Bellman Equation
        • Q-table
        • Q-network
        • Learning Tactics
          • Policy Network
      • Unsupervised Learning
        • Some Applications
      • Other Methods
    • Practical Cases
    • Ref & Glossary
[New] Concise and Practical AI/ML
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High-level Intelligence
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High-level Intelligence

The Levels

The level of intelligence is
Automated (no intelligence)
ANI (artificial narrow intelligence, some intelligence)
AGI (artificial general intelligence, know everything, but not equivalent to 1 human)
ASI (artificial super intelligence, know everything, at least equivalent to 1 human)

AGI & ASI

From AGI onward, there are 2 things to consider, whether the model is knowledgeable and whether the model is intelligent:
Knowledgeable:
Know a lot of things, fundamental concepts and can recall everything when facing info; know is recall and not remembering exactly.
Intelligent:
The innovativity, assemble known things to create a-bit-new things
The creativity, create new things, and even completely new things, and should be useful.

The Life

After reaching AGI, ASI, intelligence being can have
AI Consciousness (AI, not artificial consciousness), is self-aware level, self-living level
AI Soul (believer only😊), is when AI believes in God, it has a soul.

Quantum

Quantum is currently (2025) are at the size of minicomputer (table size, mainframe is room size), and will reach microcomputer size soon, and quantum PC will be practical.
Quantum will be good for AI to learn giant number of samples at once, and pick out values for generative networks also a giant number of samples at once. Although, quantum computing isn’t the same as classical computing, AI and ML will be with it too.


The Levels
AGI & ASI
The Life
Quantum
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