Project Karya: Giving Dignified Digital Work & People Powered Bulk Data Networking

About this video

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

Project Karya teaches data networking and task design for fair digital work distribution. Demonstrates concrete system for accessible digital employment.

A 9-minute video from Microsoft Research: “Project Karya: Giving Dignified Digital Work & People Powered Bulk Data Networking”.

Programming & CS Skills

Video by Microsoft Research, played through YouTube's embedded player.

Part of Data Platforms

Lecture 6: Version Control (git) (2020)Missing SemesterProgramming & CS

752K views

How to Do 90% of What Plugins Do (With Just Vim)thoughtbotProgramming & CS

991K views

Quantum Computing for Computer Scientists Microsoft ResearchScience & Math

Advanced2.18M views

Leslie Lamport: Thinking Above the Code Microsoft ResearchProgramming & CS

Advanced403K views

But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math

Intro25.1M views

The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS

Intro4.41M views

Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyProgramming & CS

8.21M views

Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS

Intro11.6M views

24:26

The Beauty of Bézier Curves Freya HolmérProgramming & CS

2.23M views

How to Speak MIT OpenCourseWareSkills

23.5M views

2:27:41

CS50x 2024 - Lecture 1 - C CS50Programming & CS

Intro1.41M views

2:04:55

CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

Intro2.2M views

Lecture 6: Version Control (git) (2020)

Missing Semester

752K views

MIT's Missing Semester lecture on Git: the data model of blobs, trees, commits and references, then the commands built on it.

How to Do 90% of What Plugins Do (With Just Vim)

thoughtbot

991K views

Max Cantor shows how to get fuzzy file finding, tag jumping, autocomplete and build integration in Vim using only built-in features.

Quantum Computing for Computer Scientists

Microsoft Research

Advanced2.18M views

Andrew Helwer's Microsoft Research talk teaching quantum computing to programmers with only linear algebra: qubits, gates, and the Deutsch oracle problem.

Leslie Lamport: Thinking Above the Code

Microsoft Research

Advanced403K views

Leslie Lamport argues that programmers should think — and write precise specifications — above the level of code before writing it.

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

3Blue1Brown

Intro25.1M views

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

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

Andrej Karpathy

Intro4.41M views

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

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

8.21M views

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

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

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

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M 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.

How to Speak

MIT OpenCourseWare

23.5M views

Patrick Winston's MIT lecture on how to speak: openings, structure, slides and closings.

2:27:41

CS50x 2024 - Lecture 1 - C

CS50

Intro1.41M views

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

2:04:55

CS50x 2024 - Lecture 0 - Scratch

CS50

Intro2.2M views

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