media

Casey Muratori's 2005 video introducing immediate-mode GUIs as an alternative to retained widget toolkits. He explains the motivation and shows minimal-state button logic.

A lecture by Noam Chomsky on thought control in democratic societies, covering propaganda and manufacturing consent. The upload has no description.

Neil Postman's 1997 lecture at College of DuPage, based on his book, argues that Americans treat technology as a national religion and depend on it to solve larger human problems. It includes audience questions.

A 1983 Los Angeles lecture by KGB defector Yuri Bezmenov on how the Soviets carried out ideological subversion of target societies through propaganda. He walks through demoralization and normalization stages.

A philosophy lecture by Professor Moeller on the philosophy of identity. It builds on a discussion of Abigail Thorn's video and covers authenticity, sincerity and how online profiles reshape identity.

Andrej Karpathy's three-hour-plus general-audience deep dive into how ChatGPT-style LLMs are built, covering the full training stack from pretraining to post-training. It also gives mental models for their quirks, like hallucination, and how to use them well.

James Mickens of Harvard gives a funny lecture at HBS's Future Assembly arguing that blockchains are a very bad idea. He covers their trust, legal and practical shortcomings for real-world problems.

Joseph Tainter lectures at a 2010 sustainability conference on why complex societies such as Rome collapse. His thesis is that rising complexity brings diminishing returns until societies cannot afford to maintain it.

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.

Sebastien Bubeck presents the Sparks of AGI paper at MIT, showing early experiments with GPT-4 across many domains and asking whether artificial intelligence has arrived. It includes the TikZ unicorn example.

A Virginia Tech presentation by Sid Smith about collapse, fossil fuels and overshoot, arguing that industrial civilization faces a decline and how one might live with that. It was later expanded into a video series.

Leo Dirac explains how transformer models have replaced LSTMs in NLP. He gives background from bag of words through RNNs and LSTMs, then a technical deep dive into multi-headed self-attention and positional encoding, with sample code.

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

Sasha Rush surveys linear RNNs and state space models as replacements for attention in transformer-style models, in a talk for MLSys. It covers the foundational preliminaries and predates Mamba.

A university lecture from CS480/680 by Pascal Poupart on attention mechanisms and transformer networks, worked through on a chalkboard.

Part one of an American Airlines training video presented by Captain Warren VanderBurgh on automation dependency. It grew out of a program on wake turbulence avoidance, and this restored version has the audio cleaned up.

Jaron Lanier delivers the 2018 Willy Brandt Lecture in Berlin on who civilization is for, covering data, AI, tech platforms and the economics of who benefits, followed by a Q&A with Germany's data protection commissioner Ulrich Kelber.

Russian-American journalist Vladimir Pozner lectures at Yale on how US foreign policy toward Russia after the Soviet collapse shaped Putin, then takes audience questions on election interference, the Skripal poisoning and media independence.