module 2
Foundation Stories
The quiet foundations of how AI actually works, explained in plain language. How it "learns" from patterns, why it sometimes makes things up with confidence, why it forgets between conversations, and why it reflects us more than we realize.
10 articles
- 1
Digital Memory vs. Human Memory
Why AI “forgets” between conversations
- 2
Learning Like a Child
Why AI learns through exposure, not memorization
- 3
Not a Brain, But Inspired by One
The difference between neurons and nodes
- 4
The Conversation It Had Before You
Understanding pre-training
- 5
The Echo Chamber
How AI reflects humanity back at us
- 6
The Library That Read Itself
How training data becomes understanding
- 7
The Pattern Seeker
How AI finds patterns the way we find faces in clouds
- 8
The Prediction Machine
Finish the Sentence
- 9
Weights and Measures: What it means when we say AI “learns”
The strange claim: “It learned”
- 10
Why It Sometimes Lies Confidently
Hallucinations explained gently
