Popular Explainers
Accessible explanations of somatic AI, movement intelligence and generative systems for curious non-specialists.
Why the Best Movement Edit May Have More Than One Right Answer
If you ask an AI to “make this reach softer,” there is no single correct edited movement waiting to be found. The reach could take longer, travel through a rounder pathway, use less acceleration, reorganise support through the feet, allow the ribs to follow, or change how the hand meets its destinat…
Does Whole-Body Control Mean a Robot Has a Body Sense?
No. A robot that can coordinate its feet, torso, arms and fingers has achieved a difficult form of whole-body control, but that does not by itself mean it has a body sense like ours. Control is the ability to make many parts act together toward a goal. Body sense is the continuous perception of wher…
Why Most AI Movement Models Only Know One Body
Almost every AI system that predicts or generates human movement is built around a single fixed skeleton — a specific list of joints, in a specific order, connected in a specific way. Feed it a body described differently and it fails, which is why a model trained on one motion capture dataset usuall…
The Robot That Can See Your Hand But Cannot Feel It
A new benchmark just measured something movement practitioners have always known: there are things about touch that no camera will ever capture.
33 Milliseconds: The Tiny Delay That Decides Whether a Machine Feels Alive
AI can now generate movement fast enough to respond within the blink of an eye. That number turns out to be exactly the threshold where a lagging tool becomes a present partner — and where a deeper question begins.
Can You Build a Movement Out of Parts? What AI's Newest Trick Reveals About the Body
A new system lets AI control each body part separately, like a puppeteer with independent strings. It works impressively well — and in doing so, it shows exactly what a living body does that a puppet cannot.
The Word, the Muscle, and the Missing Middle
Why AI struggles to turn "dance joyfully" into actual movement — and what the gap reveals about how bodies really work.
How Do You Grade a Movement? The Hidden Problem at the Heart of Motion AI
Before an AI can generate good movement, someone has to decide what "good" means. That turns out to be one of the deepest questions in the field — and the place where somatic knowledge has the most to offer.
Why You Have 600 Muscles to Do a Job That Needs Far Fewer
The "extra" muscles in your body aren't redundant engineering. They're the reason movement can have quality at all — and AI is finally learning to work at their level.
The End of the Motion Capture Suit
For fifty years, recording movement accurately meant covering the body in markers. That era is closing — and what replaces it changes who gets to study movement.
Why AI Needs Two Billion Frames to Understand a Single Step
On scale, generalisation, and what it means when a machine finally "gets" movement
Why Putting Your Dance on Someone Else's Body Is So Hard — and What AI Is Learning About It
Motion retargeting sounds technical. What it's really about is the deeply personal relationship between a body and the movement it knows how to make.
The Movement Alphabet That's Teaching AI How Bodies Actually Feel
Laban notation was invented in the 1920s to describe what no camera could capture. A century later, AI researchers are rediscovering why it matters.
Reading Between the Frames: What AI Motion Systems Miss in the Transitions
Movement lives in the spaces between moments. That is precisely where most AI systems stop looking.
When AI Learns the Laws of Motion — and What That Still Doesn't Tell It About the Body
A quiet revolution is making AI movement more physically real. But physical realism and somatic authenticity are not the same thing.
Can AI Improvise? What Spontaneous Movement Reveals About Machine Intelligence
The hardest test for an AI movement system isn't whether it can copy a phrase. It's whether it can respond.
When Your Body Becomes a Point Cloud
Somatic movement practice meets generative AI — and the gap between them tells us something important about both
Whose Body Did the Algorithm Learn From?
Publication note (2026-08-03). This page previously contained only an internal planning summary rather than an article — an editorial error that went uncorrected for several months. The full article has now been written and published here, preserving the original publication date and URL. The Lab re…
Your Body Knows Things the Algorithm Doesn't — Yet
You have probably seen the videos. A skeleton glides across a screen, conjured from a text prompt. A dancer's silhouette is captured by a phone camera and instantly remapped into a shimmering avatar. Motion-capture data that would have required a Hollywood studio five years ago is now generated in s…
Lost in Translation: What Happens to Movement When an Algorithm Learns It
Publication note (2026-08-03). This page previously contained only an internal planning summary rather than an article — an editorial error that went uncorrected for several months. The full article has now been written and published here, preserving the original publication date and URL. The Lab re…
The Body Knows What Words Cannot Say
Every child arrives at walking before they arrive at words. Somewhere around their first birthday, long before they can name the thing they are doing, they develop one of the most complex coordinated behaviours in the animal kingdom: upright bipedal locomotion on a shifting, unpredictable surface. T…