model 3
12:08Tesla Model 3's motor - The Brilliant Engineering behind it
8M views • 5 years ago
Sabin Civil Engineering
An engineering explainer on why Tesla abandoned the induction motor for the Model 3 and used an IPM-SynRM design. It covers the reluctance torque and permanent magnet principles behind the choice.
20:39AI 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.
8:25Large 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.
25:57GPT3: 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.
4:34This giant model stopped a terrible plan
10M views • 9 years ago
Tom Scott
Tom Scott tells how John Reber's plan to dam San Francisco Bay was disproved by the Army Corps of Engineers' giant hydraulic Bay Model in Sausalito. The model showed the plan would have been dangerously wrong.
19:48How Dollar Stores Quietly Consumed America
4.2M views • 3 years ago
Wendover Productions
A Wendover Productions video on how dollar store chains expanded across America and why they displace grocery stores in small towns. It covers their business model and supplier leverage.
Topic match · Tech industry & business models
21:37I wasn't worried about climate change. Now I am.
2.5M views • 2 years ago
Sabine Hossenfelder
Sabine Hossenfelder explains climate sensitivity and why recent observations suggest climate models may have underestimated warming. She says this changed her view on how worried to be.
Topic match · Climate science & climate change
17:52Training AI Without Writing A Reward Function, with Reward Modelling
259K views • 6 years ago
Robert Miles AI Safety
Robert Miles explains reward modelling, in which an AI learns what humans want from their preference comparisons instead of a hand-written reward function. He walks through the 2017 paper on deep reinforcement learning from human preferences.
16:45How Airlines Quietly Became Banks
7.4M views • 4 years ago
Wendover Productions
A Wendover Productions explainer arguing that major airlines make much of their profit from loyalty programs and co-branded credit cards rather than flying. It frames airlines as quasi-banks that sell points in bulk, using United's pandemic-era loan as a hook.
Topic match · Tech industry & business models
16:43The Equation That Explains (Nearly) Everything!
1.6M views • 4 years ago
PBS Space Time
PBS Space Time explains the Standard Model Lagrangian, the single equation encapsulating the particle physics theory, and visualizes what its terms mean.
10:56Model Y E36: The Octovalve Episode
317K views • 6 years ago
Munro Live
Munro Live's Model Y episode 36 has Sandy Munro walk through the disassembled Tesla Octovalve and heat pump system. He explains how the components are made and what each one does.
12:27Mach-E Thermal System Part 2: A Detailed Comparison to the Model Y
225K views • 5 years ago
Munro Live
Munro Live's team breaks down the thermal management system of the Ford Mustang Mach-E and compares it with the Tesla Model Y. They look at parts count, coolant loops and heating approaches.
16:31The TRUTH About How LTT Makes Money
1.9M views • 1 year ago
Linus Tech Tips
Linus Tech Tips breaks down the company's income streams, including sponsors, YouTube Premium, merch and other products. It gives percentages for each revenue source.
Topic match · Tech industry & business models
27:14Transformers, 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.
Topic match · LLMs & generative AI
37:20But how do AI images and videos actually work? | Guest video by Welch Labs
2.2M views • 1 year ago
3Blue1Brown
A guest video by Welch Labs on 3Blue1Brown explaining how text-to-image and video models work. It covers CLIP, shared embedding spaces, diffusion models (DDPM, DDIM), conditioning, guidance and negative prompts.
Topic match · LLMs & generative AI
6:59The Problem With Facebook
3.1M views • 12 years ago
2veritasium
Veritasium's Derek Muller argues that Facebook's business model works against pages and creators, because it charges them to reach the audiences they built. He explains how filtering and paid promotion undermine the value of likes.
Topic match · Tech industry & business models
23:12Simulating an epidemic
5.2M views • 6 years ago
3Blue1Brown
3Blue1Brown builds toy SIR models to simulate how an epidemic spreads and tests scenarios like social distancing, travel restrictions, central gathering places and quarantine. It was made during the early COVID-19 outbreak.
4:47Noam Chomsky: The five filters of the mass media machine | The Listening Post
2.9M views • 9 years ago
Al Jazeera English
A short Al Jazeera animation narrated by Amy Goodman presenting Noam Chomsky's five filters of the mass media: ownership, advertising, media elite sourcing, flak and a common enemy. It is part of the MediaTheorised series.
20:55Why ChatGPT Can't Draw a Full Glass of Wine
6.3M views • 1 year ago
Alex O'Connor
Alex O'Connor shows that ChatGPT cannot draw a wine glass filled to the brim, and ties the failure to David Hume's missing shade of blue. It asks what the failure says about how image models learn.
Topic match · LLMs & generative AI
24:07AI can't cross this line and we don't know why.
2.5M views • 2 years ago
Welch Labs
A Welch Labs explainer on neural scaling laws and the compute-efficient frontier, asking why model loss seems to hit a line it cannot cross. It draws an analogy to an ideal gas law for AI.
Topic match · LLMs & generative AI
13:52Ch(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.
Topic match · LLMs & generative AI
42:29YouTube's copyright system isn't broken. The world's is.
9M views • 6 years ago
Tom Scott
Tom Scott's long explainer on YouTube's copyright system, Content ID and the DMCA. He argues the platform's system is a workaround for a broader copyright system that does not fit the modern world.
Topic match · Tech industry & business models
17:30This is why we can't have nice things
25.6M views • 5 years ago
Veritasium
Veritasium explores planned obsolescence, from the Phoebus lightbulb cartel to printers and phones. It explains how companies deliberately shortened product lifetimes and why products aren't better.
Topic match · Tech industry & business models
15:41Why SpaceX is Making Starlink
7.4M views • 7 years ago
Real Engineering
Real Engineering explains why SpaceX is building Starlink, including the economics of satellite internet. It covers the latency advantage of light in vacuum over fiber for long-distance links.
Topic match · Tech industry & business models
20:28The UK's Failed Experiment in Rail Privatization
2.1M views • 5 years ago
Wendover Productions
Wendover Productions explains how UK rail privatization worked and why it failed. It covers the fragmented operator and infrastructure structure and why market forces apply poorly to rail.
Topic match · Tech industry & business models
18:58The Great Stranding: How Inaccurate Mainstream LCOE Estimates are Creating a Trillion-Dollar Bubble
38K views • 5 years ago
RethinkX
RethinkX summarizes its report arguing that mainstream LCOE estimates are inflating a bubble in coal, gas, nuclear and hydro assets. It claims solar, wind and batteries will strand conventional energy investments.
Topic match · Tech industry & business models
20:46Blue Bubbles vs Green Bubbles: Explained!
6.5M views • 4 years ago
Marques Brownlee
Marques Brownlee explains why iMessage's blue and green bubbles matter, covering the technical, commercial and social side of Apple's messaging lock-in. It also discusses RCS and what could be done about it.
Topic match · Tech industry & business models
16:29Why Sony's Beta Videotape System Failed--and failed hard (Part 1)
1.5M views • 9 years ago
Technology Connections
Part one of Technology Connections' account of the VHS versus Betamax format war. It argues Sony was caught off guard by JVC's cheaper, more practical VHS system.
Topic match · Tech industry & business models
6:26Games Should Not Cost $60 Anymore - Inflation, Microtransactions, and Publishing - Extra Credits
678K views • 8 years ago
Extra Credits
Extra Credits explains from a game developer's perspective why AAA games have stayed at $60 despite inflation, and how that pressure drives DLC, microtransactions and loot boxes.
Topic match · Tech industry & business models
17:13India's Semiconductor Failure
1.6M views • 5 years ago
Asianometry
Asianometry explains why India, a chip design powerhouse, cannot fabricate chips, tracing the 1980s government attempt to build a national semiconductor champion and how it collapsed. It includes the sabotage at the SCL fab.
Topic match · Tech industry & business models
19:37Why 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.
Topic match · Tech industry & business models
10:39This Video Has 77,321,815 Views
77.3M views • 6 years ago
Tom Scott
Tom Scott's video whose title shows its own live view count, and the story of how he made that work. It explains why open APIs were once common and why they largely disappeared.
Topic match · Tech industry & business models
17:49How Japan Learned Semiconductors
228K views • 4 years ago
Asianometry
Asianometry traces the 30-year rise and peak of Japan's semiconductor industry from the 1950s to the 1980s, covering how a postwar country gained competence in an emerging technology.
Topic match · Tech industry & business models
4:39How to slow down a stock exchange
4M views • 7 years ago
Tom Scott
Tom Scott visits IEX, a stock exchange that slows down trading with a long coil of fiber. The coil removes the speed advantage of high-frequency traders.
Topic match · Tech industry & business models
7:27This clock was famous, but the internet ruined it.
4.7M views • 4 years ago
Tom Scott
Tom Scott explains the famous Dutch flower auction clock at Royal FloraHolland in Aalsmeer, a literal Dutch auction, and how the internet changed it. It is a short look at how the system worked then and now.
Topic match · Tech industry & business models
20:10Here's The Proof... Tesla Cybertruck vs Porsche 911 Drag Race
2.2M views • 2 years ago
Engineering Explained
Engineering Explained follows up on Tesla's claim that a Cybertruck towing a Porsche 911 could beat the 911 alone over a quarter mile. He walks through the MotorTrend drag race and explains why the claim did not hold up.
Topic match · Tech industry & business models
21:33A CONSERVATIVE solution to global warming (Part 1)
278K views • 8 years ago
potholer54
Potholer54 presents the climate science case and a market-oriented, conservative-friendly approach to addressing global warming, with sources listed. It is part one of a two-part series.
Topic match · Climate science & climate change
27:07Attention Is All You Need
814K views • 8 years ago
Yannic Kilcher
Yannic Kilcher walks through the Attention Is All You Need paper, which introduced the Transformer, a sequence model based solely on attention without recurrence or convolutions. He reviews the architecture and the paper's translation results.
Topic match · LLMs & generative AI
19:29Glitch 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.
Topic match · LLMs & generative AI
10:22How Far Are The Nearest Stars?
3.7M views • 9 years ago
Cody'sLab
Cody's Lab builds a 200-billionth-scale model to show how far away the nearest stars are, using parallax and light speed. A short astronomy explainer on interstellar distances.