error correction

3Blue1Brown's discovery-oriented introduction to error correction codes, building up Hamming codes from the puzzle of locating a flipped bit. It explains the parity-check idea and why it is so efficient.

Peter Shor tells the story of how he discovered Shor's Algorithm, from his early mathematics days to the quantum factoring breakthrough. It was recorded at MIT at the Physics of Computation conference.

Veritasium builds a QR code by hand to explain how it works. It covers the history of Morse code and barcodes, how QR codes encode data, why damaged codes still scan, and how safe they are.

Tom Scott's correction video on his earlier claim that 18th-century insurance firefighters let uninsured buildings burn. After a historian looked into it, he concludes the story was wrong and explains how the error happened.

Veritasium explains how cosmic rays and other particles flip bits in computer memory, with examples including a Belgian election count error, plane incidents and game glitches. It is inspired by a RadioLab episode on bit flips.

Luca Sas's ACCU 2021 talk on Modern C, a style of C and C-like C++ aligned with data-oriented design. It covers centralized memory management, zero-is-initialization, error handling and API design.

A Second Thought video arguing that the CIA is responsible for serious crimes, coups and unrest around the world, with historical examples and further reading.

Quanta Magazine explains the 2022 experiment that claimed to create a holographic wormhole on Google's quantum computer. The description now notes that a later independent analysis questioned whether any wormhole was created.

Tom Scott recounts the worst typo he ever made, a subtle mistake in code with destructive consequences at a previous job. It is a cautionary tale about irreversible operations.

Chess YouTuber agadmator reports that YouTube took down his podcast with Hikaru Nakamura as harmful or dangerous content. It was later restored.

Casey Muratori argues against smart pointers and RAII, advocating grouped-element thinking, zero-is-initialization and stubs as better ways to structure memory and handle errors.

The introduction to MangoJelly's beginner course for FreeCAD 1.0. The course teaches solid modeling with the Part Design, Sketcher and Part workbenches.

Animator Noodle explains why frame interpolation does not make animation better, covering timing, easing, smear frames and using the wrong tool for the job. A pinned correction says the video is partly outdated given later AI developments.

Stuff Made Here builds a handwriting robot and sends its output to a handwriting expert to see whether it can pass as forgery. It walks through the engineering trials and errors along the way.

Linguist Geoff Lindsey explores vocal fry: what it is, who uses it, how it relates to glottal stops and accents, and why some people dislike it.

Tech Ingredients demonstrates how microwaves work and how they affect objects at range, then shows ways to defend against them. It includes a correction about rectifier output frequency.

Technology Connections explains the difference between power (watts) and energy (watt-hours) and why confusing them leads to errors. It runs about 52 minutes and uses everyday examples.

A short Coding Secrets episode explaining why hitting a Sonic 3D cartridge triggers a hidden level select. The cause was a custom crash handler that redirected CPU error interrupts to the level select screen.

Joe Armstrong's Strange Loop 2013 talk on building large scalable systems from small isolated parallel components. It covers detecting and correcting errors at run time, changing code while it runs, and how Erlang embodies these principles.

Felienne Hermans presents Hedy, a gradual programming language for teaching kids that moves through levels from almost no syntax toward full Python. The talk covers why error messages and syntax are scary for beginners.

Jon Gjengset's roughly four-hour live stream implementing part of a BitTorrent client in Rust, following CodeCrafters' test-guided challenge. He builds from scratch and shows idiomatic error handling along the way.

Matt Parker of Stand-up Maths explains why people keep making the same mistake with millions and billions, using a Bloomberg cash calculator example. He looks at the unit slip behind the repeated arithmetic error.

Tom 7 (suckerpinch) delivers a long, comedic digression on gradient descent and floating-point imprecision. He shows how rounding behavior can supply the nonlinearity needed to build a neural network.

A short video arguing that the iPhone keyboard has gotten worse, showing slow-motion footage of taps registering the wrong letters. It claims the problem is iOS itself rather than user error.