Lichess Development in 2 Minutes

Why it's on BrighterTube

Hand-picked by a BrighterTube curator · found via round-3 back catalogue of a channel Lumen picks video by video · 82% confidence

Overview of Lichess development progress condensed into a brief summary format. Teaches what technical work was done on the platform.

What you'll learn

A 2-minute video from Lichess: “Lichess Development in 2 Minutes”.

Programming & CS

Video by Lichess, played through YouTube's embedded player.

Part of Lichess Devs

49:17

Lichess @ Big Techday 22: Serving 5 Million Chess Games a Day with 125 Volunteers and €5 Donations LichessProgramming & CS

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Introduction to Game Analysis on Lichess LichessProgramming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS1.41M views

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS2.2M views

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The Continuity of Splines Freya HolmérProgramming & CS1.89M views

49:17

Lichess @ Big Techday 22: Serving 5 Million Chess Games a Day with 125 Volunteers and €5 Donations

Lichess

A 49-minute video from Lichess: “Lichess @ Big Techday 22: Serving 5 Million Chess Games a Day with 125 Volunteers and €5 Donations”.

5:48

Introduction to Game Analysis on Lichess

Lichess

A 6-minute video from Lichess: “Introduction to Game Analysis on Lichess”.

But what is a neural network? | Deep learning chapter 1

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Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

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Building micrograd, a tiny autograd engine, to understand backpropagation completely.

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How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

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Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

24:26

The Beauty of Bézier Curves

Freya Holmér2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

2:27:41

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

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The Continuity of Splines

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A follow-up on splines: the different kinds of continuity (C and G), and how Hermite, Catmull-Rom, B-splines and NURBS trade them off.