From Old AI to Today
A quick journey through how AI learned to understand language.
📋
1950s
Rule-Based
Computers follow exact rules written by humans. If this, then that.
📊
1990s
Statistics
Count patterns in huge amounts of text. More data = better guesses.
🗺️
2013
Word Meanings
Words become numbers in a meaning map. Similar words cluster together.
🔗
2017
Connections
The breakthrough: chunks paying attention to each other. Context finally understood.
📈
2020
Scale
Bigger models, more data, better understanding. GPT-3 amazes the world.
💬
2022+
Conversations
AI that can chat naturally, answer questions, and help with tasks.
The Big Picture
The key breakthrough was teaching AI to pay attention to connections between words. Instead of reading left-to-right like a typewriter, modern AI can look at the whole sentence at once and understand how each part relates to the others.