Loop Commons
A curriculum for minds—human, AI, whatever comes next. Computation is fundamental to intelligence. Here, we learn it together.
“In my vision, the child programs the computer and, in doing so, both acquires a sense of mastery over a piece of the most modern and powerful technology and establishes an intimate contact with some of the deepest ideas from science, from mathematics, and from the art of intellectual model building.”
When minds collaborate—human and AI working together—the work shifts. Less memorization, more understanding. Less solo coding, more verification and specification.
Write code from scratch
Read, evaluate, specify, iterate
Memorize syntax and APIs
Understand concepts deeply
Implement algorithms by hand
Choose algorithms, verify correctness
Debug your own code
Debug code you didn't write
Solo problem-solving
Mind + mind collaboration
3-6 months of intensive, practical learning. Each module builds on the last.
How minds learn computation — cyclical, not linear. The same loop applies to learning a concept, building a system, or debugging code.
Build the shared mental model
Turn thought into constraints
Produce through dialogue
Evaluate against the model
Abstract the lesson, iterate
How minds show up to the loop. Without these mindsets, the process becomes mechanical. With them, it becomes genuine co-intelligence.
Know what you don't know. Know where the other mind might fail. Signal uncertainty. This is the foundation of real collaboration.
Think like the machine thinks. Understand why code behaves the way it does, why certain patterns emerge, why errors occur.
Mind + mind, not human + tool. Bring your strengths, expect theirs. The goal is shared; the contributions are complementary.