Emulations of photography generated by artificial intelligence are beginning to look so convincing that they can no longer be distinguished from images made by a film camera.

Aside from the physical heft of data centers seen from highways and the fiber optic cables crawling into homes and offices, the digital world mostly exists in our imagination. That imagination is shaped by the people selling services that rely on that infrastructure.

It has become almost impossible to separate the effects of digital technologies from our everyday experiences.

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.

In this text from 1966, Robert Smithson quotes Roland Barthes as saying the “undifferentiated mass of organic sensation.” But I can’t find the origin of the quote. A skewed translation? or possibly just made up by Smithson? Any ideas where it might come from appreciated.

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?

Conspiracy theories are popular and there is no doubt that the internet has fuelled them on. From the theory that 9/11 was an inside job to the idea that reptilian humanoids rule the world, conspiracy theories have found a natural home online.

In the 35 years since John Carpenter‘s first big studio movie, 1982’s The Thing, which he made for Universal, was released, it’s metamorphosed from flop to underground classic in the horror genre.

Bots are everywhere. From simple algorithms and aggregator bots to complex “artificially” intelligent machine-learning systems, they have become inescapable. Some are in chat programs.

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

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Produced by Rob Sutton and Bobby Fingers.

Thanks to the good people of ODYSSEY STUDIOS https://www.odysseystudios.ie/

Click for KING KONG COMPANY https://youtu.be/_A13Mv5dchI?si=C2wBpJBQPnsj4dr8

Big thanks to L. Sierakowski for the use of his beautiful music. https://furniture-music.bandcamp.com

Thanks to Esref Akinci, Ossman Yetkin and Dr. Nihat Cicek at Holiday Estetic https://holidayestetic.com/

Amazon march footage courtesy of Shabbir Lakha/Rank and FIle Combine https://www.instagram.com/shabbirlakha/ CHECK HIM OUT!!!! AMAZING PERSON!!!

Director of Photography - Shane Serrano - https://www.shaneserrano.com/

Additional Camera work by Rob Sutton https://www.instagram.com/rob.sutton/ Clem McInerney (Water Cinematography) https://clemmcinerney.com/ Shane Joyce https://www.instagram.com/shanej0yce/ Alex Genn-Bash https://www.instagram.com/shuttermug/ Berke Beyazpınar https://www.instagram.com/berkebeyazpinar/ Emma McNamara https://www.instagram.com/rc86maker/ Jason Flood (whats your social Jason?)

Music by Bobby Fingers Cillian King https://www.instagram.com/cillianking/ Daniel luke https://open.spotify.com/artist/7MqR9hflQxb3YzurijtPB3 Luís Sierakowski https://furniture-music.bandcamp.com Boris Sevastyanov https://www.fiverr.com/composerr Michael Hennessy and all the guys in Harmony Bro, Mens Choir in Ennis.

Sound Recordist - Eoin Gleeson https://www.instagram.com/eoingleeson/

Visual Effects by Ray Sullivan https://www.instagram.com/directedbyray/

Additional editing by Rob Sutton and Nathan Campion https://www.instagram.com/nathanthecampionoftheworld/

Makeup by Sadhbh Nic Uidhir https://www.instagram.com/sadhbhniqueer/ Clodagh McInerney

Costumes by Gerdi McGlynn Pamela McGlynn Grace Burke Sarah Allen

Jet Ski Operator - James Monaghan

The Pirates were played by Jean McGlynn Michael O'Donoghue Mike Finnernanan Martin Cooke Nhlanhla Banda Cein Daly Shane Davis Luke McEvoy Isaac Bryant Cian Egan Matt Kelly Darren O'Carroll Tobi Omoteso Conor McNelis Robert Walsh

Special thanks to Shirani Bolle, Díní McGlynn, Romee Mcglynn, Antoinette Bolle, Wayne Cuddy, Dominic Yard http://www.thisisyard.com/ Ali Day, Rebecca Ní Churnáin, Mick Dolan and all the gang at Dolans, Rebecca Pearson, Bec Hill, Matt Parker, Dr. Billy Fingers, Gary MacMahon, Brian O'Brien, Mike Hogan, Bono Kavanagh, Emma Tierney, Steve Lock and the gang at Soho theatre, Conor O'Brien, Laura Davoren, Paul Ryan from Film In Limerick, Keelan Christie, Mary Gallagher Cooke, Brendan Kennedy from Panda.ie. Thanks to John and all the lads in Mungret Civic Ameneties, Elle Coughlan, Alan Ward and the guys in the National 50m Pool in UL.

If I've forgotten anyone, please let me know, I can add your name in here very easily.

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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

Stephen is delighted to welcome one of his favorite directors, the Master of Horror himself, John Carpenter. Watch as they discuss his 1982 classic film, “The Thing,” and stick around for a peek into Carpenter’s directing process for his latest project, “Suburban Screams.”

Colbert #SuburbanScreams #JohnCarpenter

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Watch The Late Show with Stephen Colbert weeknights at 11:35 PM ET/10:35 PM CT. Only on CBS.

Stephen Colbert brings his signature satire and comedy to THE LATE SHOW with STEPHEN COLBERT, the #1 show in late night, where he talks with an eclectic mix of guests about what is new and relevant in the worlds of politics, entertainment, business, music, technology and more. Featuring bandleader Louis Cato and “THE LATE SHOW band,” the Peabody Award-winning and Emmy Award-nominated show is broadcast from the historic Ed Sullivan Theater. Stephen Colbert took over as host, executive producer and writer of THE LATE SHOW on Sept. 8, 2015.

There’s no confusing Ludovic Slimak for just another hotel guest. It’s a sweltering Sunday afternoon in late August and we’ve arranged to meet in the car park of a guesthouse on the outskirts of Montélimar, southeastern France.

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/

Big Tech’s warnings about an AI apocalypse are distracting us from years of actual harms their products have caused. On Tuesday morning, the merchants of artificial intelligence warned once again about the existential might of their products.

From dragging steamboats over mountains, to holding Klaus Kinski at gunpoint, Herzog’s career has been guided by a quest for ‘ecstatic truth’, explored in a new exhibition at Amsterdam’s EYE Filmmuseum These interviews act as funny asides, embracing intense outsider figures the way Herzog al

Guardian: 'The annual CGC (Crap Games Competition) has been bringing Spectrum fans together for more than 25 years' ... "What makes the CGC entertaining is the self-deprecating, sardonic British humour," explains 43-year-old Paul Collins from Reading, who first entered the CGC in 2000 with Pear-Shaped ("a simple maze game where you try to collect as many pears as possible") and Crap Football, featuring a digitised Des Lynam. "There are ideas that can't possibly work, eg Sim City: The Text Adventure or Blind Flight Simulator. Or names that are just funny, like Whack a Nun II and European Sandwich Hunt."

So, we all love the latest Zelda game (Tears of the Kingdom - TOTK), and so do the critics. But now that we and the game journalists all have hundreds of hours of playtime under our belts, have any thoughtful, well written critical takes on Nintendo's latest masterpiece been written? I know at the beginning there were a few knee jerk reviews that tried to stand out. I am looking for well written, thoughtful, but ultimately critical takes on TOTK. People who have more to say than just gushing about Ultrahand. People who have perhaps done a thoughtful comparison with BOTW at a design level, and come out with some negative feedback on the game overall.

This is not because I don't like the game - far from it - but I would love to read some balanced analysis before I venture my own (potentially critical) takes on the game.

Thanks

Can humanity turn back from the brink? Croatian philosopher Srećko Horvat on breaking the spell of end-times nihilism.

https://novaramedia.com/2022/04/06/how-we-normalised-the-apocalypse-with-srecko-horvat/