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Harvard law professor Lawrence Lessig argues that US democracy is corrupted by money, since a tiny fraction of the population effectively funds who gets elected. He says fixing this must come before addressing issues like climate change or student debt.

A Council on Foreign Relations event where Joe Biden and Michael Carpenter discuss their Foreign Affairs article on defending democracy against Kremlin interference.

Veritasium explains why no voting system can be perfectly fair, drawing on Arrow's theorem and the work of Eric Maskin. It looks at problems with systems like first-past-the-post and ranked-choice voting.

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

Billionaire Nick Hanauer warns fellow wealthy people in a TED talk that growing inequality could lead to social upheaval like pre-revolutionary France. He argues a higher minimum wage would grow the middle class and prosperity.

Mel Robbins gives a TEDxSF talk on why people sabotage themselves and how to push past hesitation. It is the source of her 'count backward from five' technique.

Lawrence Lessig's Talks at Google presentation based on his book Republic, Lost, arguing that money in politics corrupts Congress and eroded public trust, and outlining what could be done about it. It supports the argument with data on political donations.

The first episode of Adam Curtis's 1992 BBC series Pandora's Box, on the engineers' plot, examining communism in the Soviet Union and the rise and limits of technocratic central planning.

Cognitive scientist George Lakoff lectures on how political debates are framed through language and metaphors tied to values, and on the moral worldviews behind progressive and conservative politics. It was given in 2005 at UC San Diego.

Elizabeth Warren's 2007 Berkeley lecture, when she was a Harvard law professor, on why middle-class families are under growing financial strain. She draws on bankruptcy research to examine rising costs of housing, health care and education.

Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.

Emily Shea explains how repetitive strain injury pushed her to program by voice using speech recognition (Talon), and gives a live coding demo. She argues voice-driven development can be pain-free, efficient and enjoyable.

Andrej Karpathy, then Tesla's head of AI, presents at ScaledML 2020 on how Tesla builds full self-driving using vision-based neural nets and fleet data collection. He covers training custom detectors and neural nets gradually replacing traditional code.

The 1965 Cambridge Union debate between James Baldwin and William F. Buckley Jr. on whether the American Dream comes at the expense of the American Negro. It is a historic recording of the two speaking.

Benn Jordan explains how Flock Safety's license plate cameras log and share vehicle locations, and explores how adversarial AI can defeat them. It covers weak security and the surveillance risks of private police-camera networks.

David MacKay's 2007 Google Tech Talk presents Dasher, a text-entry system driven by continuous gestures and a language model, reaching about 35 words per minute with one finger and 25 hands-free. It explains the information-theory reasoning behind the design.

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.

Lawrence Lessig's 2011 Berkeley book talk based on Republic, Lost, arguing that money in politics creates institutional corruption in Congress. He calls it his favorite version of the talk.

The opening lecture of Ian Shapiro's Yale course Power and Politics in Today's World, which examines political dynamics and institutions over the past quarter century, including inequality, declining unions and new forms of authoritarianism.

Innuendo Studios' Alt-Right Playbook episode, drawing on Corey Robin's The Reactionary Mind, argues that conservatism defends hierarchy and a shrinking in-group.

Andrej Karpathy, then Tesla's head of AI, gives a CVPR 2021 workshop keynote on how Autopilot's neural networks work. A large part covers the move to a vision-only stack, including why radar was dropped and how vision produces depth estimates.

Peter Norvig's 2007 Google talk on theorizing from data, covering what huge datasets can do for language understanding, translation, information extraction and inference. It argues that more data often beats cleverer models.

Peter Robinson interviews Peter Thiel at the Hoover Institution about Thiel's essay The Straussian Moment. Thiel discusses how people trust the will more than the intellect and reason, and how the question of human nature has been abandoned.

Rob Miles explains on Computerphile how language models generate plausible text and how transformers improved on recurrent networks, with a look at what comes next.

AlphaPhoenix uses Monte Carlo simulation and annealing-style methods to draw North Carolina congressional district maps, both gerrymandered and fair. He focuses on the fascinating computational problem rather than the politics.

A political commentary video arguing that tech billionaires such as Thiel, Musk and Andreessen, along with figures like Yarvin, are using the new administration to push their agenda. It connects Yarvin's ideas with Project 2025.

The Real News Network interview between Aaron Mate and Guardian reporter Luke Harding about Russiagate and Harding's book on alleged Russian collusion.

Aaron Swartz's keynote at Freedom to Connect 2012 describing how ordinary people helped defeat the SOPA censorship bill. He recounts how the Senate unexpectedly united behind the bill and how grassroots action stopped it.

Brian Springer's documentary Spin, built entirely from unauthorized satellite feeds of politicians and newscasters before they went on air during the 1992 US presidential election. It exposes the behind-the-scenes construction of media reality.

A PyCon 2012 talk by Kurt Grandis on building an automated water-squirting turret that uses Python and computer vision to detect and drive off squirrels from a bird feeder.

Pokey Rule presents Cursorless, a spoken language designed for editing code by voice, built on tree-sitter parsing with smart structural and simple token-level primitives. The talk is from Strange Loop 2023.

The first lecture of Stanford's CS231n course on convolutional neural networks for visual recognition. It surveys the history and key challenges of computer vision, from the Cambrian explosion and Hubel and Wiesel to ImageNet.

Mobileye co-founder and CTO Amnon Shashua explains what goes into sensing for autonomous driving and whether end-to-end deep learning can work for it. He argues for decomposing the problem.

A 2006 Google TechTalk in which Luis von Ahn introduces human computation, using people's effort to solve problems like image recognition that computers cannot yet handle. It covers games with a purpose and related ideas such as CAPTCHAs.

Cambridge Analytica CEO Alexander Nix keynotes the OMR 2017 marketing festival on big data and personality-based targeting in political campaigns. It was given before the company's scandal broke.

A 38-minute highlights video from a January 2022 Senate roundtable hosted by Ron Johnson, where doctors and experts offered dissenting views on pandemic response, early treatment and vaccine safety. It condenses a five-hour event.

Andrej Karpathy's CVPR 2021 presentation on Tesla's Autopilot, covering its vision-based approach, sensor choices and the scale of Tesla's deep learning compute cluster. This upload is a lower-quality copy of the talk.

A Last Week Tonight segment on how much of a member of Congress's job is now fundraising. John Oliver interviews Congressman Steve Israel about the costs of political spending.

Noam Chomsky gives a Talks at Google lecture covering his work on politics and language. It touches on his linguistic theory, including universal grammar, alongside his political criticism.

Tom Gally, a former professional translator and University of Tokyo professor, discusses in April 2023 how GPT-4 and similar models may affect translators' careers. He draws on Japanese-English translation experience.