Vol. IV · 43
Dimensions: why AI thinks in thousands of directions at once
Building Blocks · Part 4
Every entry in an embedding is a separate axis of meaning. Here's what that actually buys a model, and what it costs.
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Tag:vector space
3 meditations tagged vector space. Back toall tags or the full archive.
Clippings
Vol. IV · 42
Embeddings: where similar ideas learn to live near each other
Building Blocks · Part 3
Vectors gave every idea an address. Embeddings are what happens when a model chooses those addresses on purpose, so that meaning has geography.
Read entryVol. IV · 9
Embeddings: How Meaning Becomes Geometry
ML Foundations · Part 4
Of all the ideas in machine learning, this is the one that genuinely changed how I see the field: neural networks turn meaning into geometry.
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