The Surplus of Adjacency: Context, Compression, and the Shape of Intelligence by Rick Montgomery

Presentation Description

Intelligence isn’t computed—it’s compressed. Starting from a single Gaussian blur kernel, we trace how the fundamental operation of context-gathering creates surplus that must be destroyed to become useful. Through demonstrations of convolution, pooling, and attention mechanisms, we show that “understanding” is literally the art of forgetting the right things. Context windows, whether in pixels, neurons, or tokens, always overflow—and architectures for intelligence are, at their core, compression schemes for neighborhood relationships.

Presentation Details

Date:
11/11/2025
Time:
3:30 PM
Location:
Downstairs Classroom

Presenter Biography

Rick Montgomery
Rick Montgomery is a Staff Software Architect with a Ph.D. in Physics and over a decade of experience in machine learning. His work spans fintech, consulting, and now AI-native products, with a focus on how context and compression shape intelligent systems.