Derivative Work and Modifica... - Eleftheria Stefanaki, Nokia Technologies & Jimmy Ahlberg, Ericsson

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

Addresses derivative works, modifications, and licensing under open-source frameworks. The video teaches legal concepts in open-source licensing and software modification rights.

A 42-minute video from The Linux Foundation: “Derivative Work and Modifica... - Eleftheria Stefanaki, Nokia Technologies & Jimmy Ahlberg, Ericsson”.

Programming & CS Philosophy

Video by The Linux Foundation, played through YouTube's embedded player.

Part of Open Source Summit + Embedded Linux Conference Europe 2026

Consciousness in Artificial Intelligence | John Searle | Talks at Google Talks at GooglePhilosophy

481K views

Joscha: Computational Meta-Psychology media.ccc.dePhilosophy

85.2K views

Joscha: From Computation to Consciousness (31c3)Joscha BachPhilosophy

28.5K views

1:02:43

Resolving Disagreement by Sharing Uncertainty Oxford Internet Institute, University of OxfordPhilosophy

Seymour Papert 1983 Cynthia SolomonLectures

28.2K views

1:12:03

Humanities and Text-based Projects at Zooniverse Oxford Internet Institute, University of OxfordPhilosophy

Replace Your Exploit-Ridden Firmware with Linux - Ronald Minnich, Google The Linux FoundationProgramming & CS

73K views

27:01

A Leap in Automotive Security through Unikernel-based De-aggregation - Michalis Pappas The Linux FoundationEngineering

Advanced

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

Consciousness in Artificial Intelligence | John Searle | Talks at Google

Talks at Google

481K views

John Searle argues that syntax isn't semantics — the Chinese Room — and that computation alone can't produce consciousness, then takes questions from Google engineers.

Joscha: Computational Meta-Psychology

media.ccc.de

85.2K views

Joscha Bach's 32C3 talk on computational meta-psychology: how a mind could be built from computational principles and what that says about motivation and consciousness.

Joscha: From Computation to Consciousness (31c3)

Joscha Bach

28.5K views

Cognitive scientist Joscha Bach outlines a computational account of mind, from how minds model the world to how consciousness might arise.

1:02:43

Resolving Disagreement by Sharing Uncertainty

Oxford Internet Institute, University of Oxford

A 63-minute video from Oxford Internet Institute, University of Oxford: “Resolving Disagreement by Sharing Uncertainty”.

Seymour Papert 1983

Cynthia Solomon

28.2K views

A 1983 excerpt of Seymour Papert, creator of Logo, on children learning abstract ideas by acting out the turtle.

1:12:03

Humanities and Text-based Projects at Zooniverse

Oxford Internet Institute, University of Oxford

A 72-minute video from Oxford Internet Institute, University of Oxford: “Humanities and Text-based Projects at Zooniverse”.

Replace Your Exploit-Ridden Firmware with Linux - Ronald Minnich, Google

The Linux Foundation

73K views

Ron Minnich explains the problems with proprietary firmware (UEFI, management engine) and how Google replaced it with Linux (NERF).

27:01

A Leap in Automotive Security through Unikernel-based De-aggregation - Michalis Pappas

The Linux Foundation

Advanced

A 27-minute video from The Linux Foundation: “A Leap in Automotive Security through Unikernel-based De-aggregation - Michalis Pappas”.

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.