AI

Categorical Deep Learning and the Adjoint Correspondence

August 10, 2025

Forward Gradients, Exact Accumulation, and the Memory Geometry of Training

August 24, 2025

Continuous Learning and the Inference/Training Boundary

September 21, 2025

Typed Recurrence and Categorical Control of Inference

March 23, 2026

RDNA and the Unified Memory Desktop

December 14, 2025

A Vision For Unified Cognitive Architecture

October 15, 2025

Categorical Deep Learning and Universal Numbers

August 10, 2025

A Unified Vision for Ternary Models

June 19, 2025

Discriminated Unions In Post-Transformer AI

June 17, 2025

High Speed Inference

May 18, 2025

Next-Generation Memory Coherence

May 13, 2025

Dimensionally-Constrained CNN to TopOC Transfer Learning

December 15, 2024

Beyond Transformers

November 12, 2024

Fidelity Framework as AI Refinery

January 3, 2023

Pondering Python

September 25, 2022