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Why is Japan So Weak in Software?19:37

Why is Japan So Weak in Software?

968K views • 2 years ago
Asianometry
Asianometry examines why Japan's software industry has lagged despite its hardware strengths. It looks at dependence on US software and the low prestige of programming.
AI Language Models & Transformers - Computerphile20:39

AI Language Models & Transformers - Computerphile

354K views • 7 years ago
Computerphile
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.
Large Language Models from scratch8:25

Large Language Models from scratch

375K views • 4 years ago
Graphics in 5 Minutes
A short cartoon explaining how language models like ChatGPT work, from autocomplete and conditional probabilities to neural networks, gradient descent and backpropagation. It shows how networks act as universal function approximators.
GPT3: An Even Bigger Language Model - Computerphile25:57

GPT3: An Even Bigger Language Model - Computerphile

446K views • 6 years ago
Computerphile
Rob Miles discusses GPT-3 on Computerphile, covering how scaling parameters kept improving results over GPT-2 and how the model nearly learned arithmetic without anyone knowing exactly how.
Does the language you speak change how you think?5:25

Does the language you speak change how you think?

1.6M views • 3 years ago
Tom Scott
Tom Scott, with linguists Gretchen McCulloch and Molly Ruhl, examines whether the language you speak changes how you think. The short answer is mostly no, with caveats about the weak version of the Sapir-Whorf hypothesis.
Transformers, the tech behind LLMs | Deep Learning Chapter 527:14

Transformers, the tech behind LLMs | Deep Learning Chapter 5

11.6M views • 2 years ago
3Blue1Brown
3Blue1Brown's visual explanation of how transformers and GPT-style language models work, tracing data through tokens, embeddings and attention.
The surprising pattern behind color names around the world6:46

The surprising pattern behind color names around the world

8.4M views • 9 years ago
Vox
Vox explains the Berlin and Kay research showing that languages around the world tend to invent color words in the same order. It walks through the hierarchy and the debate around it.
why typing like this is sometimes okay.4:31

why typing like this is sometimes okay.

5.4M views • 7 years ago
Tom Scott
Tom Scott makes a short descriptivist argument that language keeps changing and that casual internet writing conventions, like lowercase typing and dropped full stops, are legitimate. It is part of his Language Files series, written with Gretchen McCulloch.
Can Japanese Actually Write Japanese Kanji?5:49

Can Japanese Actually Write Japanese Kanji?

5.5M views • 10 years ago
That Japanese Man Yuta
Yuta asks whether native Japanese speakers can actually write kanji by hand, showing that many struggle to recall characters from memory.
The Problem with Time & Timezones - Computerphile10:13

The Problem with Time & Timezones - Computerphile

4.4M views • 12 years ago
Computerphile
Tom Scott explains for Computerphile why handling time and timezones in code is so hard, walking through a simple web app that computes how long ago something happened. It covers the quirks of timezones and calendars and ends in an exasperated rant.
Unix and Google7:16

Unix and Google

9K views • 10 years ago
FOAM
A short animated simulation comparing how Multics and Unix were developed, showing why Unix's small composable programs and pipes gave it a efficiency advantage. It frames Unix as a moonshot achievable by a small team.
How I Designed a Free Music Font for 5 Million Musicians (MuseScore 3.6)19:40

How I Designed a Free Music Font for 5 Million Musicians (MuseScore 3.6)

608K views • 5 years ago
Tantacrul
Tantacrul explains how he and engraver Simon Smith designed the free music notation font for MuseScore 3.6. It draws on the history of the SCORE notation application by Leland Smith.
Debt Metaphor4:44

Debt Metaphor

95K views • 17 years ago
Ward Cunningham
Ward Cunningham explains the history and intent of the debt metaphor, which he coined while refactoring the WyCash product. He says debt means code reflecting an incomplete understanding of the problem, not sloppy programming.
Why are British place names so hard to pronounce?8:14

Why are British place names so hard to pronounce?

6.6M views • 5 years ago
Map Men
The Map Men explain why British place names are so hard to pronounce, tracing it to layers of Viking, Anglo-Saxon, Celtic and Norman influence, with a pronunciation guide.
PHP doesn't suck (anymore)10:48

PHP doesn't suck (anymore)

223K views • 3 years ago
Aaron Francis
Aaron Francis walks through how PHP has changed from 2012 to 2023, covering traits, array destructuring, generators, typed properties and more. It is a quick chaptered tour of modern PHP features.
Ch(e)at GPT? - Computerphile13:52

Ch(e)at GPT? - Computerphile

617K views • 3 years ago
Computerphile
Computerphile video in which Mike Pound explains a University of Maryland paper on watermarking LLM output. The method biases token choices so generated text can later be detected statistically.
What Happened to Horses Is Happening to Us15:01

What Happened to Horses Is Happening to Us

19.8M views • 12 years ago
CGP Grey
CGP Grey's video "Humans Need Not Apply" argues that automation will make a large part of the workforce economically obsolete, much as engines did for horses. It surveys robots and software replacing both physical and mental labor.
Why Electronic Voting Is Still A Bad Idea12:01

Why Electronic Voting Is Still A Bad Idea

5.1M views • 6 years ago
Tom Scott
Tom Scott explains why electronic voting is a bad idea. Elections must be trusted by everyone and attacks on software scale in ways attacks on paper do not, so open source or blockchain fixes do not solve it.
A Swift Introduction to Geometric Algebra44:23

A Swift Introduction to Geometric Algebra

1.1M views • 6 years ago
sudgylacmoe
An animated introduction to geometric algebra, presented as a language that can describe most of physics. It was made with manim and covers multivectors and how they generalize familiar tools like cross products and quaternions.
A London Accent from the 14th to the 21st Centuries18:10

A London Accent from the 14th to the 21st Centuries

7.2M views • 5 years ago
Simon Roper
Linguist Simon Roper reconstructs how a London accent would have sounded from the 14th to the 21st centuries, reading passages in period pronunciation. It draws on the Cambridge History of the English Language.
Why Adults Can't Develop Perfect Pitch16:26

Why Adults Can't Develop Perfect Pitch

1.8M views • 9 years ago
Rick Beato
Rick Beato argues that adults cannot develop true perfect pitch, which he ties to critical-period brain plasticity and language acquisition. He says it can only be developed in young children, and discusses the research behind this.
New computers don't speed up old code19:25

New computers don't speed up old code

187K views • 1 year ago
Matthias random stuff
Matthias Wandel tests old and new code on a range of PCs, including a new mini PC, to measure how much faster modern hardware really is. He also shows optimization techniques such as branchless code, with benchmark programs on GitHub.
The real reason Boeing's new plane crashed twice6:00

The real reason Boeing's new plane crashed twice

15M views • 7 years ago
Vox
Vox explainer arguing the two Boeing 737 Max crashes were not just a software bug but the result of a company's drive to beat its rival, with a flawed MCAS design.
Glitch Tokens - Computerphile19:29

Glitch Tokens - Computerphile

353K views • 3 years ago
Computerphile
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.
Can Japanese People Read Chinese? (Kanji)9:37

Can Japanese People Read Chinese? (Kanji)

691K views • 7 years ago
That Japanese Man Yuta
Yuta, a Japanese YouTuber, explains whether Japanese speakers can read Chinese text. He shows how shared kanji let people guess meanings while the two languages remain completely different.
The Strange Math That Predicts (Almost) Anything32:32

The Strange Math That Predicts (Almost) Anything

13.1M views • 1 year ago
Veritasium
A Veritasium video on how a feud between Russian mathematicians led to Markov chains and the modern prediction algorithms built on them. It covers the history and the math behind them.
Typesetters in the '80s - Computerphile12:23

Typesetters in the '80s - Computerphile

105K views • 12 years ago
Computerphile
Professor Brailsford of the University of Nottingham describes how the university set out to print its own mathematics exam papers in the 1980s. The story centers on getting a Mergenthaler Linotron 202 typesetter to work with their own software.
The EV Detroit is Dying to Benchmark - BYD Seagull17:39

The EV Detroit is Dying to Benchmark - BYD Seagull

319K views • 2 years ago
Autoline Network
Autoline's John McElroy and Caresoft president Terry Woychowski look at the BYD Seagull, an electric hatchback that sells in China for about $11,500. Woychowski points out the cost-saving design and manufacturing choices, and McElroy takes it for a short test drive.
What Really Happened at the Oroville Dam Spillway?18:27

What Really Happened at the Oroville Dam Spillway?

5.4M views • 5 years ago
Practical Engineering
Practical Engineering summarizes the 2017 Oroville Dam spillway failure, explaining the engineering details behind the incident. It also discusses how operators and regulators failed to keep downstream residents safe.
英特尔Lunar Lake深度评测:轻薄本有救了!21:52

英特尔Lunar Lake深度评测:轻薄本有救了!

198K views • 2 years ago
极客湾Geekerwan
Geekerwan's Chinese-language review of Intel's Lunar Lake lightweight laptop chip, covering performance, perf-per-watt curves and battery life benchmarks. It tests whether x86 can compete on efficiency.
Why don't subtitles match dubbing?8:26

Why don't subtitles match dubbing?

2M views • 2 years ago
Tom Scott
Tom Scott explains why subtitles often differ from dubbed dialogue, covering how translation, timing and reading speed shape each. It features translators and voice talent working in several languages.