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.

On December 15, 1811, the London Statesman issued a warning about the state of the stocking industry in Nottingham. Twenty thousand textile workers had lost their jobs because of the incursion of automated machinery.

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

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."

Critical Topics: AI Images is an undergraduate class delivered for Bradley University in Spring 2023. It is meant to provide an overview of the context of AI art making tools and connects media studies, new media art, and data ethics with current events and debates in AI and generative art.

A friend of mine texted me earlier this week to ask what I thought of ChatGPT. I wasn’t surprised he was curious. He knows I write about AI and is the sort of guy who keeps up with whatever’s trending online.

A friend of mine texted me earlier this week to ask what I thought of ChatGPT. I wasn’t surprised he was curious. He knows I write about AI and is the sort of guy who keeps up with whatever’s trending online.

Art takes a unique combination of skill, creativity the very human element of aesthetic taste. But what if the visual arts also fall to AI. In this episode we discuss Dall-E 2, a powerful text to image generator that's set to shake things up.

A.I. Playlist: https://youtube.com/playlist?list=PL0iVR8sl9TiXmZUgZSZOpGFouuFNieqgP

My new Spotify album: https://open.spotify.com/album/2mQkQEgmLxCJC8JpcsiF2T?si=560AO6QiQ3ShO3qKBWnRhw

Sign up link here: https://labs.openai.com/waitlist

--- About ColdFusion --- ColdFusion is an Australian based online media company independently run by Dagogo Altraide since 2009. Topics cover anything in science, technology, history and business in a calm and relaxed environment.

» ColdFusion Discord: https://discord.gg/coldfusion » Podcast I Co-host: https://www.youtube.com/channel/UC6jKUaNXSnuW52CxexLcOJg » Twitter | @ColdFusion_TV » Instagram | coldfusiontv » Facebook | https://www.facebook.com/ColdFusioncollective » Podcast Version of Videos: https://open.spotify.com/show/3dj6YGjgK3eA4Ti6G2Il8H https://podcasts.apple.com/us/podcast/coldfusion/id1467404358

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--- "New Thinking" written by Dagogo Altraide --- This book was rated the 9th best technology history book by book authority. In the book you’ll learn the stories of those who invented the things we use everyday and how it all fits together to form our modern world. Get the book on Amazon: http://bit.ly/NewThinkingbook Get the book on Google Play: http://bit.ly/NewThinkingGooglePlay https://newthinkingbook.squarespace.com/about/

Sources:

https://cdn.openai.com/papers/dall-e-2.pdf

https://fortune.com/2022/04/06/openai-dall-e-2-photorealistic-images-from-text-descriptions/

https://www.engadget.com/open-a-is-dall-e-2-produces-fantastical-images-of-most-anything-you-can-imagine-170056814.html

https://www.engadget.com/the-morning-after-open-ai-dall-e-2-images-111840375.html

https://towardsdatascience.com/generating-images-from-prompts-using-clip-and-stylegan-1f9ed495ddda

My Music Channel: https://www.youtube.com/channel/UCGkpFfEMF0eMJlh9xXj2lMw

//Soundtrack//

Burn Water - Nostalgia Dreams

no spirit - leaves covered by snow

Burn Water - Does it Get Easier (clean)

Nils Frahm - You (Teen Daze Rework)

Jon Hopkins - The Wider Sun

Ben Böhmer - Flug & Fall

Kidnap Kid - Moments (feat. Leo Stannard)

Hammock - Wasted We Stared at the Ceiling

Burn Water - Fate

» Music I produce | http://burnwater.bandcamp.com or » http://www.soundcloud.com/burnwater » https://www.patreon.com/ColdFusion_TV » Collection of music used in videos: https://www.youtube.com/watch?v=YOrJJKW31OA

Producer: Dagogo Altraide

This article is part of our coverage of the latest in AI research. Artificial intelligence research lab OpenAI made headlines again, this time with DALL-E 2, a machine learning model that can generate stunning images from text descriptions.

A text written for IOCOSE‘s exhibition “All of Your Base” held at Aksioma Project Space in Ljubljana, 1 December 2021–14 January 2022.

Published as a PostScriptUM PDF and print-on-demand publication.

► WHY I WANT TO FUCK ELON MUSK ► eBROCHURE (PDF)► PRINT ON DEMAND [coming soon]► LIST ON ISSUU

In their space race the gurus of the NewSpace movement are expanding an imaginary that hybridizes individualism, libertarianism, neoliberal economics, counterculture and utopianism. “Why I Want to Fuck Elon Musk” plays with these cultural references, taking inspiration from the most emblematic statements spoken or tweeted by Elon Musk in recent years. Daniel Rourke, a London-based writer, artist and academic, has resorted to working with the OpenAI Generative Pre-trained Transformer 3 (GPT-3) language model to imagine and narrate chronicles from a near future in which blockchains have materialized and the deepfakes of Bezos and Musk have colonized Mars. The fictional universe thus created by human and non-human imagination builds a literary counterpart to IOCOSE’s latest works – the video animations Pointing at a New Planet (2020) and Free from History (2021) – presented on the occasion of the “All of Your Base” exhibition at Aksioma | Project Space in Ljubljana.

Download PDF (eBROCHURE) View on Aksioma website

In the wake of a decolonized and destabilized world order, the emergence of the idea of a global commons was consolidated in the 1970s in the context of attempts made by dominant states to create the possibility for global governance.

Sometime last week, an editor who semi-ghosted me on an article I wrote several months ago texted me saying she wanted to talk. I didn’t want to talk to her because my mild annoyance had faded to almost nothing and the idea of hearing an apology felt wearying.

How can authors use AI writing tools like GPT-3? What's the best way to prompt the models to output usable text? Are there copyright issues with this approach? Author Paul Bellow explains how he is using the tools and how authors need to embrace the possibilities rather than reject them.

https://www-thecreativepenn-com.cdn.ampproject.org/v/s/www.thecreativepenn.com/2021/02/26/ai-augmented-author-gpt3/amp/?amp_gsa=1&_js_v=a6&usqp=mq331AQIKAGwASCAAgM=#amp_tf=From %1$s&aoh=16247239328784&csi=0&referrer=https://www.google.com&ampshare=https://www.thecreativepenn.com/2021/02/26/ai-augmented-author-gpt3/

What is the role of critical theory today and who is it for? What kind of maps can theory provide in the context of entrenched capitalist crisis? These are some of the questions posed by this seminar series. 

On the occasion of the opening of Designs for Different Futures at the Walker Art Center, we will be publishing a number of texts from the exhibition catalogue (Yale University Press, December 2019).

This seminar course is an introduction to the concepts, questions, and components that encompass interactive media as it relates to creative expression and critical engagement. Students will learn to analyze interactive media’s constituent parts, engage in readings that critically examine both the impact that interactive media and technology have on culture and societies as well as the ways in which social contexts shape the development and application of these technologies, and apply these concepts in a series of creative exercises. The contexts become apparent by examining interactive media and interactivity through the lenses of relevant critical perspectives including politics, economics, ethics, race, gender, psychology, and the environment. Throughout the semester students will learn and apply critical texts to analyze interactive media and build a vocabulary for making sense of our increasingly mediated world. The course thus serves to introduce a conceptual foundation for students to inform and direct their own creative practice by establishing a lexicon of basic operating definitions and reinforcing a culture of makers capable of critical reflection and awareness. Readings, discussions, research, creative exercises and writing constitute the body of this course.

This is part one of a two-part conversation with Fred Moten and Stefano Harney.  Fred Moten is the author of In The Break: The Aesthetics of the Black Radical Tradition, multiple volumes of poetry, and most recently the trilogy consent not to be a single being. Stefano Harney is the author of Nationalism and Identity: Culture and the Imagination in a Caribbean Diaspora. He also co-authored The Liberal Arts and Management Education: A Global Agenda for Change with Howard Thomas, and State Work: Public Administration and Mass Intellectuality. In 2013, Moten and Harney collaborated on The Undercommons: Fugitive Planning and Black Study a text that has been influential to both Josh and myself.  They graciously accepted the invitation to revisit this work, and their thinking in this time of pandemic and rebellion.  In this first portion of our conversation, we begin a discussion of the undercommons, the Academy, the general antagonism, solidarity, empathy, whiteness, politics, citizenship, Blackness, and patriarchy. We hope you enjoy part one of this discussion as much as we did, and we will be releasing part 2 next week. 

https://millennialsarekillingcapitalism.libsyn.com/wildcat-the-totality-fred-moten-and-stefano-harney-revisit-the-undercommons-in-a-time-of-pandemic-and-rebellion-part-1

Hindi Show kumar sanu live CHHORI MALAI baldis caídas LEGO train set Five Little Peppa Pirates Jumping on the Bed BaBy kids TV Bad Piggies 2 супер танцы adding too much of everything let's go fishing Tribes raul gil as i was going to st ives 5 princesas 3д геометрические фигуры janatha garage mucis Inkem Inkem Video Song lol surprises fashems godzilla bhargav TAILS Teddy Bear Song やきいも peppa pig 2018 i am villain video song tulli baap bendy and the ink machine animacion español eğlenceli çocuk videoları Love is the name SOngtext Panflöte aprender dibujar わがまま sonic idw comic Rock & Roll comptines pour maternelle Olammo Orayyo voice acting Fenoon childrens cartoons ninja warrior صديق Russian Toy Story rashmika mandanna Kalyan Ram Speech gameplays tv channel

Nick Land is a British philosopher living in Shanghai. Nick is one of the main figures in the school of thought known as accelerationism. He is currently writing a book about the philosophical implications of Bitcoin. We talked about accelerationism, cybernetics, ideology, the evolution of Nick’s perspective, Deleuze and Guattari, emancipation and dehumanization, artificial intelligence, capitalism, Moldbug, mathematics and the significance of zero, religion, blockchain/Bitcoin, Kantianism, synthetic time, and more.

We recorded this online, over two sessions. We did have some unavoidable connection problems, so you’ll notice some imperfections such as clicking sounds throughout. We did the best we could; big thanks to those who helped with the editing.

A full-text transcript with timestamps is now available at Vast Abrupt.

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https://theotherlifenow.com/ideology-intelligence-and-capital-with-nick-land/