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Listen to Interdependence on Spotify. Holly Herndon & Mat Dryhurst, optimistic about the 21st Century. Patrons and Channel holders get access to weekly episodes as they drop, the free feed is time delayed

Listen to this episode from Interdependence on Spotify. Runway have been on an absolute tear of late offering new AI tools for their creative production suite, so we invited CEO Cristóbal Valenzuela to join us to discuss their approach, and how the mental models of artists and greater society may change in accordance with the shifts happening.     Try out Runway: https://runwayml.comFollow Runway: https://twitter.com/runwaymlFollow Cristóbal: https://twitter.com/c_valenzuelab

Listen to this episode from Interdependence on Spotify. Runway have been on an absolute tear of late offering new AI tools for their creative production suite, so we invited CEO Cristóbal Valenzuela to join us to discuss their approach, and how the mental models of artists and greater society may change in accordance with the shifts happening.     Try out Runway: https://runwayml.comFollow Runway: https://twitter.com/runwaymlFollow Cristóbal: https://twitter.com/c_valenzuelab

Listen to this episode from Interdependence on Spotify. Everyone and their llama is talking about AI ethics and law, so we invited the high Llama Andres Guadamuz, an eminent researcher in AI and IP, to discuss the particularities and uncertainties of AI training law, in honor of his recent paper on the subject. It is an issue of our time. We make it fun. A Scanner Darkly: Copyright Infringement in Artificial Intelligence Inputs and Outputs: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4371204Follow Andres on twitter: https://twitter.com/technollama

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Researchers Sarah West and Andreas Liesenfeld join Alex and Emily to examine what software companies really mean when they say their work is 'open source,' and call for greater transparency.This episode was recorded on November 20, 2023.Dr. Sarah West is the managing director of the AI Now Institute. Her award-winning research and writing blends social science, policy, and historical methods to address the intersection of technology, labor, antitrust, and platform accountability. And she’s the author of the forthcoming book, "Tracing Code."Dr. Andreas Liesenfeld is assistant professor in both the Centre for Language Studies and department of language and communication at Radboud University in the Netherlands. He’s a co-author on research from this summer critically examining the true “open source” nature of models like LLaMA and ChatGPT – concluding.References:Yann LeCun testifies on 'open source' work at MetaMeta launches LLaMA 2Stanford Human-Centered AI's new transparency indexCoverage in The AtlanticEleuther critiqueMargaret Mitchell critiqueOpening up ChatGPT (Andreas Liesenfeld's work)WebinarFresh AI Hell:Sam Altman out at OpenAIThe Verge: Meta disbands their Responsible AI teamArs Technica: Lawsuit claims AI with 90 percent error rate forces elderly out of rehab, nursing homesCall-out of Stability and others' use of “fair use” in AI-generated artA fawning profile of OpenAI's Ilya SutskeverYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex time travel back to a conference of men who gathered at Dartmouth College in the summer of 1956 to examine problems relating to computation and "thinking machines," an event commonly mythologized as the founding of the field of artificial intelligence. But our crack team of AI hype detectives is on the case with a close reading of the grant proposal that started it all.This episode was recorder on November 6, 2023. Watch the video version on PeerTube.References:"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" (1955)Re: methodological individualism, "The Role of General Theory in Comparative-historical Sociology," American Journal of Sociology, 1991Fresh AI Hell:Silly made-up graph about “intelligence” of AI vs. “intelligence” of AI criticismHow AI is perpetuating racism and other bias against Palestinians:The UN hired an AI company with "realistic virtual simulations" of Israel and PalestineWhatsApp's AI sticker generator is feeding users images of Palestinian children holding gunsThe Guardian on the same issueInstagram 'Sincerely Apologizes' For Inserting 'Terrorist' Into Palestinian Bio TranslationsPalette cleanser: An AI-powered smoothie shop shut down almost immediately after opening.OpenAI chief scientist: Humans could become 'part AI' in the futureA Brief History of Intelligence: Why the evolution of the brain holds the key to the future of AI.AI-centered 'monastic academy':“MAPLE is a community of practitioners exploring the intersection of AI and wisdom.”You can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to Tech Won't Save Us on Spotify. Silicon Valley wants to shape our future, but why should we let it? Every Thursday, Paris Marx is joined by a new guest to critically examine the tech industry, its big promises, and the people behind them. Tech Won’t Save Us challenges the notion that tech alone can drive our world forward by showing that separating tech from politics has consequences for us all, especially the most vulnerable. It’s not your usual tech podcast.

Listen to this episode from The Emerald on Spotify. The rise of Artificial Intelligence has generated a rush of conversation about benefits and risks, about sentience and intelligence, and about the need for ethics and regulatory measures. Yet it may be that the only way to truly understand the implications of AI — the powers, the potential consequences, and the protocols for dealing with world-altering technologies — is to speak mythically. With the rise of AI, we are entering an era whose only corollary is the stuff of fairy tales and myths. Powers that used to be reserved for magicians and sorcerers — the power to access volumes of knowledge instantaneously, to create fully realized illusory otherworlds, to deceive, to conjure, to transport, to materialize on a massive scale — are no longer hypothetical. The age of metaphor is over. The mythic powers are real. Are human beings prepared to handle such powers?  While the AI conversation centers around regulatory laws, it may be that we also need to look deeper, to understand the chthonic drives at play. And when we do so, we see that the drive to create AI goes beyond narratives of ingenuity, progress, profit, or the creation of a more controllable, convenient world. Buried deep in this urge to tinker with animacy and sentience are core mythic drives —  the longing for mystery, the want to live again in a world of great powers beyond our control,  the longing for death, and ultimately, the unconscious longing for guidance and initiation. Traditionally, there was an initiatory process through which potentially world-altering knowledge was embodied slowly over time.  And so… what needs to be done about ‘The AI question’ might bear much more of a resemblance to the guiding principles of ancient magic and mystery schools than it does to questions of scientific ethics — because the drives at play are deeper and the consequences greater and the magic more real than it’s ever been before. Buckle up for a wild ride through myths of magic and human overreach, and all the kung fu movie and sci fi references you can handle. Featuring music by Charlotte Malin and Sidibe. Listen on a good sound system at a time when you can devote your full attention. Support the show

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex discuss MetaAI's bullshit science paper generator, Galactica, along with its defenders. Plus, where could AI actually help scientific research? And more Fresh AI Hell. Watch the video of this episode on PeerTube. References:Imre Lakatos on research programsShah, Chirag and Emily M. Bender. 2022. Situating Search. Proceedings of the 2022 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’22). UW RAISE (Responsibility in AI Systems and Experiences)Stochastic Parrots:Bender, Emily M., Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. In Proceedings of FAccT 2021, pp.610-623. The Octopus Paper:Bender Emily M. and Alexander Koller. 2020. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. ACL 2020Palestinian man arrested because of bad machine translation.Katherine McKittrick, Dear Science and Other StoriesThe Sokal HoaxSafiya Noble, Algorithms of OppressionLatanya Sweeney, "Discrimination in Online Ad Delivery"Mehtab Khan and Alex Hanna, The Subjects and Stages of AI Dataset Development: A Framework for Dataset Accountability(What is 'sealioning'?)http://wondermark.com/1k62/Grover:Raji, Inioluwa Deborah, Emily M. Bender, Amandalynne Paullada, Emily Denton and Alex Hanna. 2021. AI and the Everything in the Whole Wide World Benchmark. Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) Track on Datasets and Benchmarks.Ben Dickson's coverage of Grover:Why we must rethink AI benchmaYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex are joined by Dr. Jeremy G. Kahn to discuss the distressingly large number of evaluation metrics for artificial intelligence, and some new AI hell.Jeremy G. Kahn has a PhD in computational linguistics, with a focus on information-theoretic and empirical engineering approaches to dealing with natural language (in text and speech). He’s gregarious, polyglot, a semi-auto-didact, and occasionally prolix. He also likes comic books, coffee, progressive politics, information theory, lateral thinking, science fiction, science fact, linear thinking, bicycles, beer, meditation, love, play, and inquiry. He lives in Seattle with his wife Dorothy and son Elliott.This episode was recorded on December 12, 2022.Watch the video of this episode on PeerTube.References:XKCD: StandardsWikidataConGish GallopThe Bender RuleDJ Khaled - You Played YourselfJeff Kao's interrogation of public comment periods.Emily's blog post response to NYT pieceYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Mystery AI Hype Theater 3000 on Spotify. Emily and Alex read through Google vice president Blaise Aguera y Arcas' recent proclamation that "artificial general intelligence is already here." Why this claim is a maze of hype and moving goalposts.References:Noema Magazine: "Artificial General Intelligence Is Already Here." "AI and the Everything in the Whole Wide World Benchmark" "Targeting the Benchmark: On Methodology and Current Natural Language Processing Research""Recoding Gender: Women's Changing Participation in Computing""The Computer Boys Take Over: Computers, Programmers, and the Politics of Technical Expertise""Is chess the drosophila of artificial intelligence? A social history of an algorithm" "The logic of domains""Reckoning and Judgment"Fresh AI Hell:Using AI to meet "diversity goals" in modelingAI ushering in a "post-plagiarism" era in writing"Wildly effective and dirt cheap AI therapy."Applying AI to "improve diagnosis for patients with rare diseases."Using LLMs in scientific researchHealth insurance company Cigna using AI to deny medical claims.AI for your wearable-based workoutYou can check out future livestreams at https://twitch.tv/DAIR_Institute. Follow us!Emily Twitter: https://twitter.com/EmilyMBender Mastodon: https://dair-community.social/@EmilyMBender Bluesky: https://bsky.app/profile/emilymbender.bsky.social Alex Twitter: https://twitter.com/@alexhanna Mastodon: https://dair-community.social/@alex Bluesky: https://bsky.app/profile/alexhanna.bsky.social Music by Toby Menon.Artwork by Naomi Pleasure-Park. Production by Christie Taylor.

Listen to this episode from Sounds True: Insights at the Edge on Spotify. Mention to someone the words “artificial intelligence,” and chances are you’ll get a very emotional response. For some, the thought of AI triggers fear, anger, and suspicion; for others, great excitement and anticipation.  In this podcast, Tami Simon speaks with technologist and philosopher Jasmine Wang along with poet Iain S. Thomas, coauthors of the new book What Makes Us Human? An Artificial Intelligence Answers Life’s Biggest Questions. Whatever your view on AI, we think you’ll find this conversation profoundly interesting and informative!  Listen now as Tami, Jasmine, and Iain discuss the artificial intelligence known as GPT-3; holding an attitude of “critical techno optimism”; finding kinship with digital beings; the question of sentience; the sometimes “hallucinatory” nature of generative AI; the three main aspects of deep learning technology—classification, recommendation, and generation; AI as a creativity compounder; bringing a moral lens to the development and deployment of AI; the central human themes of presence, love, and interconnectedness; acting with intent and living with meaning; and more. Note: This episode originally aired on Sounds True One, where these special episodes of Insights at the Edge are available to watch live on video and with exclusive access to Q&As with our guests. Learn more at join.soundstrue.com.

Listen to Mystery AI Hype Theater 3000 on Spotify. Artificial Intelligence has too much hype. In this podcast, linguist Emily M. Bender and sociologist Alex Hanna break down the AI hype, separate fact from fiction, and science from bloviation. They're joined by special guests and talk about everything, from machine consciousness to science fiction, to political economy to art made by machines.

This week Alex Fisher asks about Resistance/Persistence/Dall-E/AI https://artofalexfischer.com and a field recording from Linda Loh https://lindaloh.com

Listen to this episode from NerdOut@Spotify on Spotify. Get ready: we’re diving into machine learning. Hear how we’re improving personalization with reinforcement learning (RL), what makes ML engineering so different from other kinds of software engineering, and why machine learning at Spotify is really about humans on one side of an algorithm trying to better understand the humans on the other side of it. Spotify’s director of research, Mounia Lalmas-Roelleke, talks with host Dave Zolotusky about how we’re using RL to optimize recommendations for future rewards, how listening to more diverse content relates to long-term satisfaction, how to teach machines about the difference between p-funk and g-funk, and the upsides of taking the stairs. Then Dave goes deep into the everyday life of an ML engineer. He talks with senior staff engineer Joe Cauteruccio about what it takes to turn ML theory into code, the value of T-shapedness, the difference between inference errors and bugs, using proxy targets and developing your ML intuition, and why in machine learning something’s probably wrong if everything looks right. Plus, an ML glossary: our guests educate us on the definitions for cold starts, bandits, and more. This episode is the first in a series about machine learning and personalization at Spotify. Learn more about ML and personalization: Listen: Spotify: A Product Story, Ep.04: “Human vs Machine” Watch: TransformX 2021: “Creating Personalized Listening Experiences with Spotify” Recent publications from Spotify Research: “Variational User Modeling with Slow and Fast Features” (Feb. 2022) “Algorithmic Balancing of Familiarity, Similarity, & Discovery in Music Recommendations” (Nov. 2021) “Leveraging Semantic Information to Facilitate the Discovery of Underserved Podcasts” (Nov. 2021) “Shifting Consumption towards Diverse Content on Music Streaming Platforms” (Mar. 2021) Read what else we’re nerding out about on the Spotify Engineering Blog: engineering.atspotify.com You should follow us on Twitter @SpotifyEng and on LinkedIn!

Listen to this episode from Interdependence on Spotify. Super excited to share this one, on the advent of our collaboration for Holly+, we are joined by Chris Deaner and Yotam Mann of Never Before Heard Sounds, a brand new company releasing AI music tools, to discuss approachable AI tools for music making, the inevitable model economy, new approaches to DAWs and the Holly+ project more generally! Never Before Heard Sounds: https://heardsounds.com/Follow them on Twitter: https://twitter.com/HeardSoundsPlay with Holly+ (and share your results!): https://holly.plus/

Listen to this episode from This Study Shows on Spotify. AI has come a long way (it even named this episode) but what does it have to do with science communication? We find the line between the present and the future as we explore how AI will affect science communication, and how has it already taken hold, with Mara Pometti, lead data strategist at IBM, and Professor Charlie Beckett, lead of JournalismAI at the London School of Economics.   We want to know what you think about This Study Shows! Take a short survey and help us make this podcast the best it can be.

Use AI to explore everything the startupy community has curated

GitHub Careers Home is hiring a Applied Researcher in Remote, United States. Review all of the job details and apply today!

521 likes, 10 comments - guapmag on May 3, 2024: "GUAP are looking to commission a writer to write a think-piece on AI in Fashion and Photography, please submit via link in bio 🔗".

New York, NY

Onderzoek naar mening Nederlander over AI: 58% van de Nederlandse bevolking acht het thema "Nepnieuws, nepfoto's en polarisatie" cruciaal als het gaat over de ontwikkeling van Artificiële Intelligentie (AI) en het onderzoek hiernaar.

International Journal of Design, IJDesign, IJD, SCI, SSCI, A&HCI

In the 2020s, natural language interfaces became the standard for human-AI interaction, promising accessibility for all. However, this seemingly utopian solution…

Is this the world's first AI-generated documentary? Alan Warburton was commissioned by the ODI's Data as Culture programme to bring us 'The Wizard of AI,' a 20-minute video essay about the cultural impacts of generative AI. It was produced over three weeks at the end of October 2023, one year after the release of the infamous Midjourney v4, which the artist treats as "gamechanger" for visual cultures and creative economies. According to the artist, the video itself is "99% AI" and was produced using generative AI tools like Midjourney, Stable Diffusion, Runway and Pika. Yet the artist is careful to temper the hype of these new tools, or as he says, to give in to the "wonder-panic" brought about by generative AI. Using creative workflows unthinkable before October 2023, he takes us on a colourful journey behind the curtain of AI - through Oz, pink slime, Kanye's 'Futch' and a deep sea dredge - to explain and critique the legal, aesthetic and ethical problems engendered by AI-automated platforms. Most importantly, he focusses on the real impacts this disruptive wave of technology continues to have on artists and designers around the world. Commissioned by Data as Culture at the ODI: www.culture.theodi.org ---------------------------------------------- Disclaimer: this work is a non-commercial work of critical/educational/satirical commentary. Under UK law, this is referred to as ‘fair dealing’ and protects the work from claims of copyright. Data use: According to the data taxonomies provided by www.translatingnature.org, this work derives from the following data types: living and biological and non-biological data; non-living, commercial, personal and licensed data; static data; generated, processed, retrieved data and 'anecdata' (including metadata); and anonymised; identifiable and unknown data. ---------------------------------------------- Full (hyperlinked) credits can be seen at www.thewizardof.ai · Written, directed, voiced, animated and soundtracked by Alan Warburton. · Back to The Futch animation by Ewan Jones Morris · Special thanks to Joanne McNeil - https://vimeo.com/justbrowsing, Tom Pounder - https://vimeo.com/user3078533, Hannah Redler-Hawes and Omar. · Wonderpanic Theme by Sonny Baker. · Research Assistance from Fabian Mosele · Steve Ballmer Genie by Christian Schlaeffer - https://vimeo.com/cschlaeffer · Pretty fishes by UglyStupidHonest - https://vimeo.com/user3746465 · In Memoriam images by Alex Czetwertynski - https://vimeo.com/user2228130 · Concept development and AI collaboration from John Butler - https://vimeo.com/user3946359, Samine Joudat, Ben Dosage, @dzennifer, Ben Dawson - https://vimeo.com/user83259586, Alejandro González Romo - https://vimeo.com/user128947837, @symbios.wiki - https://vimeo.com/user45174927, Ugur Engin Deniz - https://vimeo.com/engindeniz ---------------------------------------------- AI Tools used: · Runway Gen 2 to generate 16:9 ‘AI Collaborator’ video clips · Midjourney, Stable Diffusion and DALLE 3 to generate still images · Pika to generate 3 second fish loops · TikTok for detective speech synthesis · HeyGen to generate AI talking detective head · Adobe Photoshop AI to expand images · Topaz Gigapixel AI to upscale images ----------------------------------------------- Clips attribution: · What is the Internet? (1995) by The Today Show · Microsoft Clippy (1997 onwards) web compilation · CNN Internet Report (1993) by CNN News · Napster Report (2000) by CNN Headline News · Tech Events in 2023 Be Like (2023), Verge, featuring footage from META · Zane Lowe meets Kanye West (2015), BBC Radio 1. · Unit 9 AI Workflow (2023) Unit9Ltd · Thanos Snap, Avengers: Endgame (2019) Marvel Studios, LLC · for AI artist clips, please see onscreen attribution.

The AI Index tracks the generative AI boom, model costs, and responsible AI use

The field of immersive and interactive media is rapidly evolving, with professionals from diverse disciplines such as artists, creative technologists, curators, researchers, and producers shaping its future. IDFA's section for new media, DocLab, is helping to lead the way by showcasing, researching and developing the best interactive documentary art and XR storytelling. Open for entry.

The theme this year is “document.”