Moku3D
Made the invisible behaviour of quantum mechanics visible, one equation at a time
Field | Detail |
|---|---|
Type | Creative research |
Status | Active |
Category | Data Visualisation, AI Workflow |
Stack | Blender 5.2 (headless), Python, Claude Code |
Output | MP4 (vertical 9:16, horizontal 16:9) |
Timeline | October 2026 to present |
Studio | Mokujiro Studio |
Creative director | Ken Tai |
Summary
Purpose: I wanted to return to the fundamentals of mathematics and physics and understand them in my own way. The series now centres on quantum mechanics. Its behaviour cannot be seen, and quantum technology may add a new layer to the way we understand and use the world. So I start with experiments: I compute one equation at a time, give it a form, and learn from what appears.
Problem: Mathematics describes forces, waves and probabilities that nobody can see. Most explanations stop at a graph or a paragraph. I wanted to know what happens when the equation itself drives the picture.
Solution: Moku3D, a series of short films. Each one takes a single equation, computes it, and lets the computed geometry move. Python scripts drive Blender in the background. I direct; Claude Code writes the code.
Impact: Twelve studies published between 16 October and 2 November 2026, from three bodies under gravity to a pair of entangled particles. Along the way, a way of working that every new study builds on.
Overview
The work I do under Mokujiro has always been about making the invisible visible. Information hierarchy, the relationships between services, the paths people take. None of it can be seen, and once it has a shape people can work with it. Mathematics is the purest of those invisible things. Moku3D shows it as form and as motion. Each study is a film of about 30 to 45 seconds.
The series began on 16 October 2026 with three bodies orbiting under Newton’s law. By the end of the month it had settled on quantum mechanics. I am not a mathematician, so I am learning as I go.
The origin of Moku3D
Moku3D began with a personal desire to learn.
I wanted to return to the fundamentals of mathematics and physics, and understand them in my own way. Not simply by reading theories or studying equations, but by exploring how they work, building computational models and translating abstract ideas into visual forms.
Through this process, learning became a form of exploration. Each study offered an opportunity to question assumptions, deepen understanding and discover connections that were not immediately visible.
My curiosity extends beyond understanding established principles. I am also interested in how emerging concepts, such as quantum mechanics, and advances in artificial intelligence may introduce new layers to the way we understand and interact with the world.
I believe that adding new layers of understanding to what we already know may fundamentally expand what is possible.
Moku3D is an ongoing journey of learning, experimentation and discovery.
The question
An equation is a rule for how points connect. Newton’s law says how three masses pull on one another. The Schrödinger equation says how a wave inside a box must stand. Computed and drawn, those rules become shape, and shape can move.
So the question each study asks is small. What does this rule look like when it is the only thing on screen? Not an illustration of it. The rule itself, evaluated, with nothing added by hand.
How it is made
Every study starts as an explanation a ten-year-old could follow. I write it first, page by page, like a picture book. If the idea cannot be said in plain words, it is not ready to be drawn.

The pages become a storyboard: one line of text, one picture and one camera move for each act. Read in order, the lines on screen carry the whole argument, and each one stays long enough to be read.


The stack is what made this possible. Blender draws, Python drives it, and Claude Code writes the code while I direct the concept, the look, the motion and the final call. The equation on screen is always the one the code computed.
Before release, each study is checked against the physics and labelled as an accurate visualisation or a simplified one.
Beyond what we know
What happens when we add another layer to the way we understand the world?
As mathematics and physics develop, new ideas keep testing the limits of existing logic. Quantum mechanics is one of them: about a hundred years old, and still hard to grasp with everyday intuition. Quantum technology is now trying to put that theory to work. AI is a separate change. It is helping researchers with hard problems, including the error correction that quantum computers depend on.
These ideas do not replace what we already know. They may add layers of understanding on top of it, and what is possible in science, technology and everyday life may grow with them. I cannot say how far that goes, which is why I want to study it.
Moku3D studies the mathematical and physical principles underneath, by computing them and turning them into films. That is why the series has turned to quantum mechanics.
Verdict pending
The series is ongoing. Study 069 is the first of three on entanglement. Study 056, the second, asks whether the paired results could be explained by something simpler; the third will ask what a pair is for. Whether another layer of understanding really expands what is possible is still an open question, and I keep studying it one equation at a time.
Outcome
Twelve studies published, 16 October to 2 November 2026, each a film of about 30 to 45 seconds.
One way of working, shared by every study.