PodQueue

Ross Anderson Interviewed by Elisabetta Mori for Archives of IT

Since the beginning of cinema, movies have held to the same format - a linear narrative, told the same way each time. Filmmaker Gary Hustwit wants to change all that. With his new documentary Eno, he’s broken the mold on movies. Hustwit has harnessed the power of generative AI to produce a movie you can never see twice. Through careful editing and groundbreaking software development, Hustwit and his collaborators built an engine that assembles a one-of-a-kind movie for every viewing. Same footage, different sequence. You have to see it to believe it.

00:00 Introduction to Gary Hustwit

04:06 “Eno,” Generative Film about Brian Eno

10:14 Making a Movie That’s Different Every Time

13:04 Programming a Generative Film

15:56 Poetry, Code and Software

19:09 Role of Human Editors

21:09 How will Streaming Platforms Adapt?

24:44 AI Disrupting Traditional Filmmaking

28:19 Sora from OpenAI

32:07 Anamorph, Filmmaking and Technology Company

36:45 What’s Next for Gary Hustwit

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Hey everybody! It's a rare public post!

Now that we've announced this summer's Okkervil River / Antlers duo tour (which you guys heard about first), I thought this would be a good time to re-post the awesome conversation Peter Silberman and I had for "Uncontrollable Light," my patreon podcast series where I talk to fellow artists about all manner of interesting topics. In this episode, Peter and I talk about the mysterious magical properties of art and finding our way through expressing light and darkness in our work, and we also unpack the interesting rhyming similarities between our careers and particularly between the Antlers' album Hospice and Okkervil River's album Black Sheep Boy. Subscribers may have already heard this episode before (it's the same as the first time I posted it, except I beeped out some sensitive information Peter and I only wanted to exist in the private patreon version), so I apologize to anybody who feels they're not getting truly new content this week, but I'll make it up to you and then some with a rather exhaustive episode next week that goes deep into the making of Sleep and Wake-Up Songs and the exhausting 2004 touring experience that led up to Black Sheep Boy. These "making of" episodes are both very fun and incredibly labor-intensive, and this one came out really great.

Thanks again, everybody, and more soon!

And here are those dates!

May 29 Wed Crystal Ballroom @ 7:00pm Somerville, MA, United States

May 30 Thu SPACE Gallery @ 7:00pm Portland, ME, United States

May 31 Fri Higher Ground @ 7:00pm South Burlington, VT, United States

Jun 1 Sat Levon Helm Studios @ 7:00pm Woodstock, NY, United States

Jun 3 Mon The Great Hall @ 7:00pm Toronto, ON, Canada

Jun 4 Tue El Club @ 7:00pm Detroit, MI, United States

Jun 5 Wed Old Town School of Folk Music @ 7:00pm Chicago, IL, United States

Jun 7 Fri Ardmore Music Hall @ 7:00pm Ardmore, PA, United States

Jun 8 Sat Union Stage @ 7:00pm Washington, DC, United States

Jun 9 Sun Bowery Ballroom @ 7:00pm New York, NY, United States

Jun 21 Fri Tractor Tavern @ 7:00pm Seattle, WA, United States

Jun 22 Sat Mississippi Studios @ 7:00pm Portland, OR, United States

Jun 24 Mon The Chapel @ 7:00pm San Francisco, CA, United States

Jun 25 Tue The Chapel @ 7:00pm San Francisco, CA, United States

Jun 26 Wed Pico Union Project @ 7:00pm Los Angeles, CA, United States

Jun 27 Thu Pico Union Project @ 7:00pm Los Angeles, CA, United States

In this program, John Searle discusses the life and thought of Ludwig Wittgenstein. This is an episode from the 1987 series on the Great Philosophers with Bryan Magee. The rest of the series can be found here: https://www.youtube.com/playlist?list=PLhP9EhPApKE8B-g03RivIMt7llh1cyEGV

00:00 Introduction

03:37 Picture Theory of Meaning

08:56 Meaning as Use

11:09 Family Resemblance

15:44 Language Games

20:35 Religious Language

23:03 Philosophical Puzzlement

24:12 Private Language

29:27 Writing Style

32:28 Influence Outside Philosophy

34:16 Searle's Evaluation

#philosophy #wittgenstein #bryanmagee

PLENARY SESSION Tuesday Keynote - AI, Encryption, and the Sins of the 90s

This keynote will look at the connections between where we are now and how we got here. Connecting the “Crypto Wars”, the role of encryption and privacy, and ultimately the hype of AI… all through the lens of Signal.

Full text of Meredith's talk: https://signal.org/blog/pdfs/ndss-keynote.pdf

Keynote Speaker: Meredith Whittaker, Signal

Meredith Whittaker is president of the Signal Foundation and has over 17 years of experience in tech, spanning industry, academia, and government.

Before joining Signal, she was the Minderoo Research Professor at NYU, and co-founded and directed the AI Now Institute. Prior to NYU, she worked at Google for over a decade, including founding Google’s Open Research Group, and co-founding M-Lab, a globally distributed network measurement platform that now provides the world’s largest source of open data on Internet performance.

She has advised the White House, the FCC, the City of New York, the European Parliament, and other governments and civil society organizations on privacy, security, artificial intelligence, Internet policy, and measurement. She recently completed a term as Senior Advisor on AI to the Chair at the US Federal Trade Commission.

Network and Distributed System Security (NDSS) Symposium 2024, 26 February – 1 March 2024 in San Diego, California.

ABOUT NDSS

The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.

https://www.ndss-symposium.org/

#NDSS #NDSS24 #NDSS2024 #InternetSecurity #ai #artificalintelligence #encryption

Portuguese and Spanish language translations for SXSW 2024 Keynotes and Featured Sessions presented by Itaú.

Designers bear the awkward and important responsibility of raising ethical AI concerns in their product-making circles alongside policymakers. Questioning how to advance the art, practice, and nature of creativity in this new era provides spectacular opportunities to fail, learn, grow.

About SXSW:

SXSW dedicates itself to helping creative people achieve their goals. Founded in 1987 in Austin, Texas, SXSW is best known for its conference and festivals that celebrate the convergence of the interactive, film, and music industries. An essential destination for global professionals, SXSW features sessions, showcases, screenings, exhibitions, professional development and a variety of networking opportunities. For more information, please visit sxsw.com.

Subscribe: http://www.youtube.com/user/sxsw?sub_...

Connect with SXSW:

Website: https://www.sxsw.com

Facebook: https://www.facebook.com/SXSWFestival/

Twitter: https://twitter.com/sxsw

Instagram: https://www.instagram.com/sxsw/

YouTube: https://www.youtube.com/sxsw

Grace Blakeley is a writer, commentator and economist whose new book Vulture Capitalism: Corporate Crimes, Backdoor Bailouts and the Death of Freedom is out on the 14th March.

She came by JOE Towers to chat to us about neoliberal capitalism, the destruction of working-class power and how our brains have been rewired to accept mediocrity.

Subscribe to our new podcast now, or you're a silly goose:

https://linktr.ee/pubcast

Taking us on a walk through the folds and furrows of her Oakland neighborhood, Jenny Odell steps into the age-old conversation between rocks and water, attuning to a larger narrative of deep, geological time.

In our second of a two-part grounding conversation on “What is AI?”, Lucy Suchman draws connections between military logics, our own conception of intelligence, and how we map that onto AI as we know it. 

How we conceptualize “intelligence” in neural networks and machine learning is crucial for how we understand this technology. AI does relatively well at identifying statistical patterns in closed-world data. But real, open-world environments are notoriously difficult for the field of robotics and machine learning writ large, and as such “engineering” the world these machines inhabit and draw data from becomes almost as important for their proper functioning as the algorithms underlying them. Ultimately, we need to understand the limitations of AI systems, their risks, and acknowledge the aspects of the world that resist automation.

Biography

Lucy Suchman, Professor Emerita at Lancaster University and an expert in AI and human-computer interaction, delves with us into what lies beneath AI as we know it today– its history as a subfield of computer science, its functioning as a technology that extracts meaning from vast datasets, and ultimately, as a term that defies precise definition, sometimes to the benefit of the corporations behind its current form.

In this grounding conversation, the first of two parts on “What is AI?” we go on a deep dive with Meredith Whittaker on the history of artificial intelligence (AI), from hype to current day-to-day impacts. Meredith has had a front seat to some of the most important developments and growth in so-called AI over the past 15 years. Here, she dives into the historical context that gave rise to AI, emphasizing how its emergence was bound together with the privatization of the internet and with the expansion of the surveillance advertising business model currently at the core of the tech industry. But facts alone won’t counter narratives meant to either disillusion us or desensitize us to rampant data collection, surveillance, and the automation of incredibly important, life-altering decisions and resource allocation by companies and governments the world over. We need new strategies and responses to address the prevailing myths and misperceptions surrounding AI.

Biography

Meredith Whittaker is the President of Signal. She is the current Chief Advisor, and the former Faculty Director and Co-Founder of the AI Now Institute. Her research and advocacy focus on the social implications of artificial intelligence and the tech industry responsible for it, with a particular emphasis on power and the political economy driving the commercialization of computational technology. Prior to founding AI Now, she worked at Google for over a decade, where she led product and engineering teams, founded Google’s Open Research Group, and co-founded M-Lab, a globally distributed network measurement platform that now provides the world’s largest source of open data on internet performance. She has advised the White House, the FCC, FTC, the City of New York, the European Parliament, and many other governments and civil society organizations on artificial intelligence, internet policy, measurement, privacy, and security.