Late​ last year, Rishi Sunak interviewed Elon Musk in front of an invited audience after the Bletchley Park summit on AI safety.

After unbearable levels of speculation and leaks, Japanese gaming giant Nintendo finally announced the Switch 2 today, surprising nobody. Most of the leaked features were verified by the trailer, but in traditional Nintendo fashion the mysterious 'C' button was rendered blank. What could this little anonymous square be for?

Welcome to the first of what we hope will be many posts about teaching writing in the age of AI! The Important Work is a space for writing instructors at all levels—high school, college, and beyond—to share reflections about teaching writing in the era of generative AI.

Archival Images of AI Playbook

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.

Documenting our lives for Snapchat and Instagram can decrease the likelihood of retaining those moments as a significant memory. This story appears in VICE Magazine's Truth and Lies Issue. Click HERE to subscribe.

Large language models like those offered by OpenAI and Google famously require vast troves of training data to work. The latest versions of these models have already scoured much of the existing internet which has led some to fear there may not be enough new data left to train future iterations.

When did you encounter your first paradigm shift? Not the phenomenon itself, but the term? Perhaps at an airport bookstore, where bestselling authors of books with titles like Change Your Paradigm, Change Your Life and The 15 Commitments of Conscious Leadership: A New Paradigm for Sustainable Succes

I don't think Nvidia CEO Jensen Huang is a bad guy, or that he has nefarious plans for Nvidia, but the most consequential villains in history are rarely evil. They just go down a terribly wrong path, and end up leaving totally forseeable, but ultimately inevitable ruin in their wake.

Daniël de Zeeuw: A combination of genuine concerns and moral panics over AI (often fueled by the tech moguls themselves) has reached a new high in recent years, particularly with the introduction of ChatGPT by OpenAI.

Doomsaying can become a self-fulfilling prophecy. Produced by ElevenLabs and News Over Audio (NOA) using AI narration.

Let me start by saying a few things that seem obvious,” Geoffrey Hinton, “Godfather” of deep learning, and one of the most celebrated scientists of our time, told a leading AI conference in Toronto in 2016.

The introduction to the book Metaverse Evolution Theory by Japanese VTuber and writer Virtual Girl Nem has now been published in English. The 5,000-word introduction is available at her official Medium page, and aimed at generating discussion about her book in the English-speaking community.

The term Luddite is usually used as an insult. It suggests someone who is backward-looking, averse to progress, afraid of new technology, and frankly, not that bright. But Brian Merchant claims that that is not who the Luddites were at all.

It is estimated that one language dies every 14 days, with it a world of concepts and ideas that could only be expressed in its words. Most of the languages at risk of extinction belong to Indigenous communities.

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

Do you like Star Wars lore? Exactly how much do you like Star Wars lore? I ask because A Very Brief Analysis: The Phantom Menace is 12 hours long and is chock full of Star Wars lore. "This is not a defence of Episode 1, nor is it an attack. The idea is a detailed, fair, and informed analysis. We'll go over the entire movie, giving credit and blame as needed."

It's time to talk about the Ludding times. That's how they talked about it, those who were there, when readying themselves for an insurrection a few years later.

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?

 THE BAD NEWS is waiting for us on the first page of the first chapter of Octavia E. Butler’s 1998 science fiction novel Parable of the Talents.