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Ezra Klein interviews Democratic pollster David Shor, who walks through survey data and charts explaining the 2024 election results. They discuss voter shifts, the education divide and what Democrats got wrong.

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.

NYT Opinion video essay arguing that Democrat-controlled states like California, New York and Illinois often fall short of their egalitarian values. It focuses on housing costs, homelessness, regressive taxes and school segregation as drivers of inequality.

Tom Scott visits the USPS Remote Encoding Center in Salt Lake City, where keyers decipher mail images machines cannot read. It shows the lengths taken to decode bad handwriting.

The first lesson from Timothy Snyder's short video series accompanying On Tyranny, arguing that most of the power of authoritarianism is freely given when people comply in advance. It runs about eight minutes.

Veritasium examines the role of luck in success, with simulations and examples showing how small advantages and chance can compound. It argues that top outcomes are disproportionately luck-driven while still crediting effort.

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.

Huygens Optics explains the Fourier transform and shows how a lens performs one optically. A DLP projector is used as a Fourier filter to do simple pattern recognition on lithographic character patterns.

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.

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.

Carl Sagan's December 1985 testimony to Congress on the greenhouse effect, about 15 minutes long. He lays out CO2 warming, the risk of runaway effects and the danger of continued coal burning.

A Sam Harris podcast episode from June 2020 on the protests and unrest after George Floyd's death, discussing racism and police violence in America in light of the available data.

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.

Jon Stewart appears on The Late Show with Stephen Colbert and discusses the pandemic, vaccine science and the Wuhan lab origin theory. He jokes that the disease shares its name with the lab.

Testimony by Peter McCullough, MD, to the Texas Senate Health and Human Services Committee on March 10, 2021, about COVID-19 outpatient treatment. It was posted by the AAPS.

A Computerphile video in which Dr Mike Pound and PhD student Lewis Stuart explain 3D Gaussian splatting, a quick technique that turns photos of a scene into a 3D model without much compute. It includes a demo and compares the approach to NeRFs.

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 ShortCircuit (Linus Tech Tips) review of Nvidia's RTX Voice, which uses GPU-based neural networks to remove background noise from microphone audio. It demonstrates how well the filtering works.

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.

Lesson 1 of fast.ai's Practical Deep Learning for Coders, taught by Jeremy Howard. It takes coders from running code in a Jupyter notebook straight into training a real image model.

Neural-network upscaled, 60 fps, stabilized and colorized version of 1902 footage of the Wuppertal Schwebebahn suspended railway in Germany. The source film comes from MoMA. It gives a vivid view of an early-1900s city and a train system that still runs.

Lex Fridman interviews Douglas Lenat, founder of Cyc, a decades-long project to encode common-sense knowledge and reasoning for AI. They discuss symbolic AI and how it may complement neural networks.

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.

Rob Miles explains "glitch" tokens, odd strings in large language model vocabularies that make the model produce gibberish. He covers how they likely arise from tokenizer training data, such as Reddit usernames, that never appeared in the model's own training.

Matt Parker of Stand-up Maths examines scatter plots that were claimed to show fraudulent vote-switching in Michigan's 2020 election. He recreates the analysis and shows that the pattern arises from comparing percentages across different bases, not from fraud.

Matt Parker examines claims that Biden's 2020 vote counts violate Benford's Law, explaining the law and why it often does not apply to precinct-level election data.

A demonstration of Larynx, an offline open source neural text-to-speech system supporting nine languages. The video itself is narrated with a Larynx-generated voice.

Footage shot in New York City in 1911 by a Swedish film company, upscaled to 4K and 60 fps with neural networks and optionally colorized. The creator notes the colors are artificial and added only for ambiance.

Primer uses simulations to compare voting systems such as first-past-the-post, approval, ranked choice and others. It shows how each system behaves and can be manipulated, with links to further voting theory resources.

The full, long-form FRONTLINE interview with Steve Bannon, recorded in 2019 for the documentary series on the Obama-to-Trump era. He discusses his populist politics, the Trump campaign and White House, and his view of the establishment.

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.

Denis Shiryaev's neural-network-upscaled, colorized 60 fps version of film footage shot in Paris between 1896 and 1900.

A roughly three-hour Joe Rogan interview with Donald Trump during the 2024 campaign. It covers policy topics including tariffs and taxes.

Steve Mould explains motion amplification and video magnification, techniques that find tiny changes in video invisible to the eye and exaggerate them. He covers the MIT research and industrial uses such as diagnosing vibrating machinery.

Matt Parker of Stand-up Maths examines the Texas Supreme Court filing claiming Biden's 2020 win had a one-in-a-quadrillion chance. He walks through why the statistical argument is flawed.

FortNine looks at why Tesla Autopilot has rear-ended motorcyclists, speculating that the vision system misreads motorcycle taillights as a distant car. It argues that radar and other sensors would help.

An Innuendo Studios Alt-Right Playbook episode about a rhetorical tactic of dismissing partial fixes to problems. It frames this as a style of argument that treats flaws as unfixable facts of life.

A short PBS NewsHour clip of Elon Musk making a gesture at the post-inauguration celebration in January 2025, which many described as a fascist salute. The report includes the remarks he made just before it.

An NBC News clip from 2020 of Kamala Harris on whether she would take a Covid-19 vaccine. She says she would if doctors said it was safe but not if Donald Trump told her to.