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Ben Kennedy Explainers · Latent Space Learning
The machine as a friendly device

A model stores
a position.

Watch separate concepts become numerical vectors, settle into a learned coordinate system, form neighborhoods, and answer a similarity query. Then take control and inspect the geometry yourself.

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Reference projection Fast, authored coordinates are active. MiniLM computation is optional.
Preparing the vector instrument Three.js field · GSAP sequence
Receiving concepts
Guided · 3D
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Sequence
Step 01 · Token input

Concepts begin without geometry

Before encoding, each item is a separate symbol. Its useful position has not yet been learned.

Use one finger to orbit, two fingers to pan, and pinch to zoom. Tap a vector to open it in the inspector.

The word is not stored.
The relationship is.

A vector preserves useful relationships as coordinates. Search works because concepts with related meaning tend to occupy nearby directions in the learned space.

Ben Kennedy is an AI Engineer and Researcher, PhD in Artificial Intelligence. Founder of Kennedy Applied Sciences Research Group, a self-funded applied AI research practice, and creator of StratoSort.