When AI Surprised It's Creators
“Sometimes progress looks less like improvement and more like breaking your own rules.”
Story: Move 37
In March 2016, the world watched as a computer program named AlphaGo faced off against Lee Sedol, one of the greatest Go players alive. Go is an ancient board game, far more complex than chess — with more possible positions than atoms in the universe. For centuries, its masters had cultivated intuition, strategy, and artistry.
In the second game of the series, something shocking happened. Midway through, AlphaGo made a move so strange that the commentators assumed it was a mistake. Move 37\. It broke centuries of Go tradition, ignoring every “sensible” pattern that players had trusted. Professionals in the audience gasped. Some even laughed nervously.
But as the game unfolded, it became clear: the move wasn’t foolish. It was brilliant. A line of play no human had ever considered. Lee Sedol lost that game, and ultimately the match. For the first time in history, a machine had surpassed the masters of Go — not by copying human patterns, but by stepping outside them.
Move 37 became legendary, not just as a turning point in a game, but as a glimpse of possibility: sometimes the winning move is the one that looks impossible from inside the old loop.
Mechanics: Breaking the Loop
Belief OS would describe centuries of Go tradition as a collective belief loop.
Belief shaped the lens: these are the “correct” moves.
Attention kept circling the same well-worn patterns.
Conviction charged those patterns with authority — they felt unbreakable.
Alignment kept generations of players reinforcing each other, deepening the loop.
AlphaGo wasn’t bound by those same loops. It learned by playing millions of games against itself, free from the weight of human tradition. Its attention wasn’t biased toward what was “normal.” Its conviction didn’t lean on convention. It could step into improbable moves simply because the system allowed it to.
That’s the essence of loop-breaking: sometimes the next evolution isn’t about refining the old patterns, but daring a move that feels improbable, even absurd, from inside them.
Cross-map: Psychology, Taoism, Belief OS
Psychology: We’re wired for pattern bias. We repeat what feels safe, even if it keeps us stuck. Move 37 is a perfect metaphor for breaking cognitive bias.
Taoism: The Taoist idea of wu wei — effortless action — isn’t about following rules, but moving in harmony with what the moment calls for, even if it looks unconventional.
Belief OS: Debugging isn’t always polishing a belief. Sometimes it means stepping outside the loop entirely, letting attention wander into improbable spaces where new alignments can appear.
Reflection: Your Move 37
When people want change, they usually try to improve inside the loop: a better résumé, a more strategic dating app profile, a tighter productivity system. These are refinements — not leaps.
But what if your “Move 37” is something you’ve dismissed as improbable, impractical, or absurd? A choice that breaks your pattern so fully it feels almost wrong — but opens a possibility you can’t see yet.
Where are you still playing by rules that no longer serve you? What’s the move that looks impossible only because your conviction is still tied to convention?
Practice: Try It Yourself
Today, identify one area of life where you keep playing the same moves. Then ask:
What’s my “Move 37” here?
What choice breaks my loop, even if it feels improbable?
You don’t have to act on it immediately. Just notice what arises when you ask.
Limits & Takeaway
Of course, not every improbable move is wise. Some gambles really are mistakes. The point isn’t recklessness, but freedom — loosening the grip of convention so possibility can open.
Takeaway: Conviction often hides in convention. Break the loop, and new patterns emerge.