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Where Does Bad Code Come From?42:21

Where Does Bad Code Come From?

282K views • 5 years ago
Molly Rocket
Casey Muratori's invited lecture on where bad code comes from, rebroadcast from a Twitch stream. He critiques conventional wisdom such as SOLID and Clean Code and argues about how those habits lead to slow, poorly structured software.
Simple Code, High Performance2:50:14

Simple Code, High Performance

463K views • 5 years ago
Molly Rocket
Casey Muratori's University of Twente guest lecture is a case study in how straightforward code can cut thousands of lines and tens of seconds of runtime down to a few dozen lines running in under a second. It uses concrete examples to show why software is often an order of magnitude slower than it should be.
Let's build the GPT Tokenizer2:13:35

Let's build the GPT Tokenizer

1.3M views • 2 years ago
Andrej Karpathy
Andrej Karpathy builds the GPT tokenizer from scratch, implementing byte pair encoding along with encode and decode. He shows how many odd LLM behaviors trace back to tokenization, and covers Unicode byte encodings along the way.
Colossus - The Greatest Secret in the History of Computing1:00:26

Colossus - The Greatest Secret in the History of Computing

1M views • 6 years ago
The Centre for Computing History
Chris Shore of the Centre for Computing History explains how Colossus was built, how it worked, and how it affected the course of World War II. It is an hour-long museum lecture on the codebreaking computer.
The spelled-out intro to neural networks and backpropagation: building micrograd2:25:52

The spelled-out intro to neural networks and backpropagation: building micrograd

4.4M views • 4 years ago
Andrej Karpathy
Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.