Hex makes a living in virtual reality. She’s an online sex worker, hosting shows and posting photos and videos from social VR platform VRChat to her Fansly account, a subscription site for erotic content.

They see facial recognition, smart diapers, and surveillance devices as inevitable evolutions. They’re not. Imagine you’re taking an online business class — the kind where you watch video lectures and then answer questions at the end.

The video site isn’t just a platform. It’s infrastructure. Produced by ElevenLabs and NOA, News Over Audio, using AI narration.

This video explores the journey of AI language models, from their modest beginnings through the development of OpenAI's GPT models. Our journey takes us through the key moments in generative neural network research involved in next word prediction. We delve into the early experiments with tiny language models in the 1980s, highlighting significant contributions by researchers like Jordan, who introduced Recurrent Neural Networks, and Elman, whose work on learning word boundaries revolutionized our understanding of language processing. It leaves us with a question: what is thought? Is simulated thought, thought? Featuring Noam Chomsky Douglas Hofstadter Michael I. Jordan Jeffrey Elman Geoffrey Hinton Ilya Sutskever Andrej Karpathy Yann LeCun and more. (Sam altman)

My script, references & visualizations here: https://docs.google.com/document/d/1s7FNPoKPW9y3EhvzNgexJaEG2pP4Fx_rmI4askoKZPA

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This is the last video in the series "The Pattern Machine" you can watch it all here: https://www.youtube.com/playlist?list=PLbg3ZX2pWlgKV8K6bFJr5dhM7oOClExUJ

00:00 - Introduction 00:32 - hofstader's thoughts on chatGPT 01:00 - recap of supervised learning 01:55 - first paper on sequential learning 02:55 - first use of state units (RNN) 04:33 - first observation of word boundary detection 05:30 - first observation of word clustering 07:16 - first "large" language model Hinton/Sutskever 10:10 - sentiment neuron (Ilya | OpenAI) 12:30 - transformer explaination 15:50 - GPT-1 17:00 - GPT-2 17:55 - GPT-3 18:20 - In-context learning 19:40 - ChatGPT 21:10 - tool use 23:25 - philosophical question: what is thought?

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm. As of November 2023 (this field moves fast!).

Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break.

• Slides as PDF: https://drive.google.com/file/d/1pxx_ZI7O-Nwl7ZLNk5hI3WzAsTLwvNU7/view?usp=share_link (42MB)
• Slides. as Keynote: https://drive.google.com/file/d/1FPUpFMiCkMRKPFjhi9MAhby68MHVqe8u/view?usp=share_link (140MB)

Few things I wish I said (I'll add items here as they come up): - The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did. - How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the “system message”). - You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015/05/21/rnn-effectiveness/ - What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/llama2.c/blob/master/run.c

Chapters: Part 1: LLMs 00:00:00 Intro: Large Language Model (LLM) talk 00:00:20 LLM Inference 00:04:17 LLM Training 00:08:58 LLM dreams 00:11:22 How do they work? 00:14:14 Finetuning into an Assistant 00:17:52 Summary so far 00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard Part 2: Future of LLMs 00:25:43 LLM Scaling Laws 00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E) 00:33:32 Multimodality (Vision, Audio) 00:35:00 Thinking, System 1/2 00:38:02 Self-improvement, LLM AlphaGo 00:40:45 LLM Customization, GPTs store 00:42:15 LLM OS Part 3: LLM Security 00:45:43 LLM Security Intro 00:46:14 Jailbreaks 00:51:30 Prompt Injection 00:56:23 Data poisoning 00:58:37 LLM Security conclusions End 00:59:23 Outro

Start exploring the riches of cinema with an extended free trial at https://mubi.com/likestoriesofold

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About this video essay: We've all felt it: the movies have changed. But how so exactly, and why? And what can be done about it? In this extensive critique, I try to capture the decline of modern cinema in one unifying theory.

00:00 The Marvelization of Cinema 01:52 What is Storytelling Entropy? 06:26 Hollow Franchises 11:15 Meta-References to Nowhere 17:40 Corporate Passion 25:23 Breaking the Cycle 33:08 Meaningful Engagement

Further Reading: Like Stories of Old – The Complete Reading List: https://kit.co/likestoriesofold/reading-list 10 Books that changed my life: https://kit.co/likestoriesofold/10-books-that-changed-my-life 10 More books that inspired my thinking: https://kit.co/likestoriesofold/10-more-books-that-inspired-my-thinking

My Camera Gear: https://kit.co/likestoriesofold/my-travel-camera-gear

Media included: 12 Angry Men; 2001 A Space Odyssey; A Good Day to Die Hard; A Hidden Life; Aftersun; Ahsoka; Alien; Alien vs. Predator; Aliens; Ant-Man and the Wasp Quantumania; Asteroid City; Avengers Age of Ultron; Avengers Endgame; Avengers Infinity War; Babylon; Barbie; Batman Begins; Batman v Superman; Blade Runner 2049; Captain America Civil War; Captain America The First Avenger; Captain America The Winter Soldier; Citadel; Deadpool; Decision to Leave; Die Hard; Doctor Strange in the Multiverse of Madness; Dune; Dungeons and Dragons; Eternals; Foundation; Fast X; Free Guy; Game of Thrones; Ghostbusters Afterlife; Ghosted; Gladiator; Godzilla; Godzilla vs Kong; Goodfellas; Inception; Indiana Jones and the Dial of Destiny; Invasion of the Body Snatchers; Iron Man 3; Iron Man; John Wick Chapter 3 & 4; Jurassic Park; Jurassic World; Jurassic World Dominion; Lawrence of Arabia; Loki; Mission Impossible 1, 2, Fallout, Rogue Nation & Dead Reckoning; Moon Knight, Obi-Wan Kenobi; Ocean's Eleven; Once Upon a Time in Hollywood; Past Lives; Predator 1 & 2; Red Notice; Secret Invasion; Seven Samurai; Shang-Chi; She-Hulk; Spiderman 1 & 2; Spider-Man No Way Home; Star Wars A New Hope, The Empire Strikes Back, Return of the Jedi, The Phantom Menace, The Revenge of the Sith, The Force Awakens, The Last Jedi & the Rise of Skywalker; Synecdoche New York; Terminator 1, 2 & Dark Fate; The Dark Knight, The Amazing Spider-Man 2; The Avengers; The Fabelmans; The Falcon and the Winter Soldier; The Flash; The Godfather 1 & 2; The Gray Man; The Hobbit Trilogy; The Lord of the Rings Trilogy; The Rings of Power; The Matrix 1 & 4; The Mummy; The Prestige; The Thing; The Witcher; Thor Love and Thunder; Thor Ragnarok; Thor The Dark World; Top Gun; Top Gun Maverick; Transformers Rise of the Beasts; Uncharted

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Music: Dexter Britain - Hoursglass Jo Blankenburg - Dirt Dexter Britain - Your Own World Alaskan Tapes - Swimming and Dancing and Floating in Circles Dexter Britain - Headspace Cultus - Between Mountains Dexter Britain - Air Dexter Britain - Raising

Take your films to the next level with music from Musicbed. Sign up for a free account to listen for yourself: https://fm.pxf.io/c/3532571/1347628/16252

E se Super Mario Bros. Wonder fosse um jogo NES de 1988?

Esse foi um projeto muito audacioso, pois além do 3D e do 2D, tive que fazer toda a pixel art do suposto jogo de NES!

Muitos dos gráficos que aparecem no gameplay eu consegui graças ao site https://www.spriters-resource.com

Também fiz a narração (peço desculpas).

No comercial é possível ver um "Wario" de capa correndo do Toad carregando um cogumelo. Esse "Wario" é uma homenagem ao Alexsandro Magalhães dos canais @cedjogos e @AlexsandroMagalhaes

Eu espero que você tenha gostado!

Outra coisa, aproveite e torne-se um “Amigo Apoiador” (membro) do canal para me ajudar a continuar produzindo esses vídeos!

Compartilhe, se inscreva e ative o sino para mais conteúdos como este!

Minhas redes sociais!

A video about neural networks, function approximation, machine learning, and mathematical building blocks. Dennis Nedry did nothing wrong. This is a submission for #SoME3

My Links Patreon: https://www.patreon.com/emergentgarden Discord: https://discord.gg/ZsrAAByEnr

Links and Content: On Mathematical Maturity, Thomas Garrity: https://www.youtube.com/watch?v=zHU1xH6Ogs4 Earth Rotation Loop: https://www.youtube.com/watch?v=aiQdLP2mBJE Modeling Shell Surfaces: https://www.geogebra.org/m/xtv7zpn5 Fourier Features Paper: https://arxiv.org/abs/2006.10739 Code for mandelbrot/image approximations: https://github.com/MaxRobinsonTheGreat/mandelbrotnn Code for line/surface approximations: https://github.com/MaxRobinsonTheGreat/ManimApproximations

Music: https://youtube.com/@acolyte-compositions

Timestamps (0:00) Functions Describe the World (3:15) Neural Architecture (5:35) Higher Dimensions (11:55) Taylor Series (15:20) Fourier Series (21:25) The Real World (24:32) An Open Challenge

Responding to the 1 millionth time that people have said "the left has failed men" and somehow... kinda agreeing with Shoe on Head

2:00 Y'all are overreacting to that table 7:40 The Manosphere isn't new it's just more visible 11:08 Algorithms make this an uphill battle 15:14 The online left does have a weak analysis of masculinity 17:57 Stop whining about mean feminist and do the work 19:40 The real problems facing men

Classic debunks of various manosphere topics MuneCat debunks the manosphere - https://www.youtube.com/watch?v=BgO25FTwfRI&pp=ygUHbXVuZWNhdA%3D%3D My Black Manosphere video - https://www.youtube.com/watch?v=upt_ks61_70&t=1466s&pp=ygUQYmxhY2sgbWFub3NwaGVyZQ%3D%3D Sissyphus trying to make sense of the manosphere - https://www.youtube.com/watch?v=lSq3bcyrJY0&pp=ygUOdGhlIG1hbm9zcGhlcmU%3D Frank Laundry explaining Fresh and Fit - https://www.youtube.com/watch?v=WBsCmYCShqI&pp=ygUbZnJhbmsgbGF1bmRyeSBmcmVzaCBhbmQgZml0 Zatzman on the Manosphere as a content farm - https://www.youtube.com/watch?v=pvZITKjaffw&pp=ygUOdGhlIG1hbm9zcGhlcmU%3D

Other male content creators to check out

@Salari @FinntasticMrFox @ForeignManinaForeignLand @NoahSamsen @Sisyphus55 @TheZatzman @COLORMIND.mp4 @victorythecreator @lilbilliam @ThinkpieceTribe @JawnLouis

Monitoring the future study 2022 - https://monitoringthefuture.org/wp-content/uploads/2022/12/mtf2022.pdf Political ideology data from 2021 - https://monitoringthefuture.org/wp-content/uploads/2023/08/PoliticalBeliefTrends12thGraders1976-2021.xlsx CDC Deaths of despair study - https://www.cdc.gov/surveillance/blogs-stories/deaths-of-dispair.html Meta study mentioned - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566538/

If you haven’t seen them yet, the videos are mesmerizing. A content creator with long, straight hair sits at her kitchen table, rapidly stringing together nonsense catchphrases, over and over with the same cheerful expression and tone. “Yes yes yes. Mmm, ice cream so good.

Artificial intelligence is already showing up in political ads. Soon, it will completely change the nature of campaigning. Earlier this week, the Republican National Committee released a video that it claims was “built entirely with AI imagery.

► ►►Try MUBI Free for 30 Days: https://mubi.com/cinematyler

In this video, we take an in-depth look at the dark satire injected by Ron Cobb into the production design of Alien’s Nostromo spaceship that highlights the fact that the true monster of Alien is not the creature but the Weyland-Yutani corporation itself.

CinemaTyler SURVEY (What movies should I cover?): https://bit.ly/3BmNVdW

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Alien #RonCobb #RidleyScott

Huge Collection of Alien Resources: https://cinephiliabeyond.org/alien-40th-anniversary/ Sources:

(Alien Anthology) bit.ly/3J5gnYz (Crews Project) Semiotic Standard - bit.ly/428Kvc0 (Speculative Identities) Weylan-Yutani Logo - bit.ly/3Nb3yNI (alienfilmspedia) bit.ly/3N6OGjh (Rinzler 132) The Making of Alien by J.W. Rinzler (The Beast Within) https://bit.ly/3f6ri87 (Nathan) Alien Vault: The Definitive Story Behind the Film by Ian Nathan (Cinefantastique V09) Making Alien - Cinefantastique V09 (Alien Commentary) Alien Blu-ray Commentary (ASC Scott) American Cinematographer - The Filming of Alien - https://bit.ly/39jUhTu (Space Truckin’) Space Truckin’ – the Nostromo - Alien Series - http://bit.ly/3Qb6XfU (Mediascene #35) Mediascene Issue #35 (Martin for Starlog) Starlog Magazine Issue 026 (ASC Vanlint) American Cinematographer - Alien and Its Photographic Challenges - https://bit.ly/3tw6nj0 (Giger’s Alien) https://youtu.be/yEf3z1WnVI4

Music: Epidemic Sound

GMTK is powered by Patreon - https://www.patreon.com/GameMakersToolkit

To mark the release of The Legend of Zelda: Tears of the Kingdom, let's look back at the making of Breath of the Wild's open world.

Sources

How the "Open Air" world was created... | Gamer.Ne https://www.gamer.ne.jp/news/201709010048/

Legend of Zelda: Breath of the Wild has become a game... | IGN Japan https://jp.ign.com/cedec-2017/16928/news/botw

The Perfect Game World Born under Nintendo's New Development Approach... | GNN Gamer https://gnn.gamer.com.tw/detail.php?sn=152054

The perfect game world of The Legend of Zelda: Breath of the Wild... | 4Gamer https://www.4gamer.net/games/341/G034168/20170901120/

Did the map for "Zelda" start in Kyoto!? | Game.Watch.Impress https://game.watch.impress.co.jp/docs/news/1078569.html

The Making of The Legend of Zelda: Breath of the Wild Video – Open-Air Concept | Nintendo https://youtu.be/vLMGrmf4xaY

The Legend of Zelda: Breath of the Wild’s map is based on Kyoto | Polygon https://www.theverge.com/2017/3/6/14827832/the-legend-of-zelda-breath-of-the-wild-map-kyoto-japan

=== Credits ===

Music provided by Epidemic Sound - https://www.epidemicsound.com/referral/vtdu5y (Referral Link)

=== Subtitles ===

Contribute translated subtitles - https://amara.org/videos/eB3GnQWpxx4M/

As recently as just a few decades ago, the interconnected web of experiences, thoughts and emotions known as a ‘stream of consciousness’ was widely believed to belong to humans alone. A still-accumulating body of evidence, however, strongly indicates that consciousness is far from unique to us.

As recently as just a few decades ago, the interconnected web of experiences, thoughts and emotions known as a ‘stream of consciousness’ was widely believed to belong to humans alone. A still-accumulating body of evidence, however, strongly indicates that consciousness is far from unique to us.

A shadow looms over the 2020 election: Deepfakes! The newish video-editing technology (or really, host of technologies) used to seamlessly paste one person’s face on another’s body, has activated a panic among pundits and politicians.

A shadow looms over the 2020 election: Deepfakes! The newish video-editing technology (or really, host of technologies) used to seamlessly paste one person’s face on another’s body, has activated a panic among pundits and politicians.

Watch videos of Yuval Noah Harari, the author of the wildly successful book Sapiens: A Brief History of Humankind, and you will hear him being asked the most astonishing questions. Harari’s manner is soft spoken, even shy, in these encounters.

Watch videos of Yuval Noah Harari, the author of the wildly successful book Sapiens: A Brief History of Humankind, and you will hear him being asked the most astonishing questions. Harari’s manner is soft spoken, even shy, in these encounters.

"Datamoshing is a technique of damaging video clips to create a glitch effect wherein frames that should change don't. It's most noticeable between cuts and across motion. Datamoshing is the process of corrupting, removing or replacing I-frames, causing P-frames to be applied to the wrong picture."