Bookmarks

George Hotz | Programming | twitchchess | a simple neural chess AI | Part1

Live coding session where George Hotz designs and trains a simple neural-network chess engine, examining model architecture, training loop, and gameplay integration.

Simple Artificial Neural Network entirely in assembly language

Demonstrates building and training a single-layer neural network entirely in x86-64 assembly language, covering forward pass, MSE loss, back-propagation, and low-level numeric routines.

What Matters for Model Merging at Scale?

Technical summary of a current arXiv paper on large-scale model merging, providing up-to-date insights for ML practitioners.

LSTM: The Comeback Story?

Autoencoders | Deep Learning Animated

When AI Is Designed Like A Biological Brain

Dense Associative Memory in Machine Learning

Research talk on Dense Associative Memory networks, exploring high-capacity energy-based models for pattern storage and retrieval.

1 - Introduction

The Most Important Algorithm in Machine Learning

H-Nets - the Past

H-Nets - the Future

Neural Scaling Laws by Data Manifold Dimensions

Continuous Thought Machines

How To Scale

Unnamed Document

Greg Yang

Using neural nets to recognize handwritten digits

ai

Root Mean Square Layer Normalization

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