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AI Encyclopedia

Living curriculum of 2,600 AI concepts grouped into 130 phases.

What is symbolic AI? The original recipe — and where it still wins

What is symbolic AI? The original recipe — and where it still wins

Symbolic AI was the original AI — rules, search, logic, expert systems. It lost the photogenic half of the field after 2012 but still wins where transparency, hard constraints, and audit trails matter. With a paired expert-system lab.

AI vs Machine Learning vs Deep Learning vs LLMs — the actual differences

AI vs Machine Learning vs Deep Learning vs LLMs — the actual differences

Four layers everyone conflates — AI, Machine Learning, Deep Learning, and Large Language Models. What defines each, what each can and cannot do, where production systems use them in 2026, and how to tell which layer a system actually is. With a paired lab.

Human vs machine intelligence: where they actually differ

Human vs machine intelligence: where they actually differ

How humans and machines actually differ in 2026 across five axes — data efficiency, embodiment, transfer, common sense, energy — where they're surprisingly similar, and why the productive frame is complement, not replicate. With a 4-challenge lab.

What is intelligence? The definition AI inherits

What is intelligence? The definition AI inherits

Four serious, mutually inconsistent definitions of intelligence — psychometric, biological, generalisation-efficiency, and multiple-intelligences — and why which one you accept silently decides which AI you build. With an interactive yardstick lab.

What is artificial intelligence? A complete intuitive guide

What is artificial intelligence? A complete intuitive guide

A complete intuitive guide to what artificial intelligence actually is — the nested AI/ML/DL/LLM hierarchy, the one idea that drives modern AI, narrow vs general vs super, five myths the news still gets wrong, and a 60-second tour from 1956 to 2026. With an interactive lab.