Daniel Binns is a media theorist and filmmaker tinkering with the weird edges of technology, storytelling, and screen culture. He is the author of Material Media-Making in the Digital Age and currently writes about posthuman poetics, glitchy machines, and speculative media worlds.
‘Vapourwave Hall’, generated by me using Leonardo.Ai.
This is a little late, as the article was actually released back in November, but due to swearing off work for a month over December and into the new year, I thought I’d hold off on posting here.
This piece, ‘The Allure of Artificial Worlds‘, is my first small contribution to AI research — specifically, I look here at how the visions conjured by image and video generators might be considered their own kinds of worlds. There is a nod here, as well, to ‘simulative AI’, also known as agentic AI, which many feel may be the successor to generative AI tools operating singularly. We’ll see.
Abstract
With generative AI (genAI) and its outputs, visual and aural cultures are grappling with new practices in storytelling, artistic expression, and meme-farming. Some artists and commentators sit firmly on the critical side of the discourse, citing valid concerns around utility, longevity, and ethics. But more spurious judgements abound, particularly when it comes to quality and artistic value.
This article presents and explores AI-generated audiovisual media and AI-driven simulative systems as worlds: virtual technocultural composites, assemblages of material and meaning. In doing so, this piece seeks to consider how new genAI expressions and applications challenge traditional notions of narrative, immersion, and reality. What ‘worlds’ do these synthetic media hint at or create? And by what processes of visualisation, mediation, and aisthesis do they operate on the viewer? This piece proposes that these AI worlds offer a glimpse of a future aesthetic, where the lines between authentic and artificial are blurred, and the human and the machinic are irrevocably enmeshed across society and culture. Where the uncanny is not the exception, but the rule.
So much of what I’m being fed at the moment concerns the recent wave of AI. While we are seeing something of a plateauing of the hype cycle, I think (/hope), it’s still very present as an issue, a question, an opportunity, a hope, a fear, a concept. I’ll resist my usual impulse to historicise this last year or two of innovation within the contexts of AI research, which for decades was popularly mocked and institutionally underfunded; I’ll also resist the even stronger impulse to look at AI within the even broader milieu of technology, history, media, and society, which is, apparently, my actual day job.
What I’ll do instead is drop the phrase algorithmic moment, which is what I’ve been trying to explore, define, and work through over the last 18 months. I’m heading back to work next week after an extended period of leave, so this seems as good a way of any as getting my head back into some of the research I left to one side for a while.
The algorithmic moment is what we’re in at the moment. It’s the current AI bubble, hype cycle, growth spurt, whatever you define this wave as (some have dubbed it the AI spring or boom, to distinguish it from various AI winters over the last century1). In trying to bracket it off with concrete times, I’ve settled more or less on the emergence of the GPT-3 Beta in 2020. Of course OpenAI and other AI innovations predated this, but it was GPT-3 and its children ChatGPT and DALL-E 2 that really propelled discussions of AI and its possibilities and challenges into the mainstream.
This also means that much of this moment is swept up with the COVID pandemic. While online life had bled into the real world in interesting ways pre-2020, it was really that year, during urban lockdowns, family zooms, working from home, and a deeply felt global trauma, that online and off felt one and the same. AI innovators capitalised on the moment, seizing capital (financial and cultural) in order to promise a remote revolution built on AI and its now-shunned sibling in discourse, web3 and NFTs.
How AI plugs into the web as a system is a further consideration — prior to this current boom, AI datasets in research were often closed. But OpenAI and its contemporaries used the internet itself as their dataset. All of humanity’s knowledge, writing, ideas, artistic output, fears, hopes, dreams, scraped and plugged into an algorithm, to then be analysed, searched, filtered, reworked at will by anyone.
The downfall of FTX and the trial of Sam Bankman-Fried more or less marked the death knell of NFTs as the Next Big Thing, if not web3 as a broader notion to be deployed across open-source, federated applications. And as NFTs slowly left the tech conversation, as that hype cycle started falling, the AI boom filled the void, such that one can hardly log on to a tech news site or half of the most popular Subs-stack without seeing a diatribe or puff piece (not unlike this very blog post) about the latest development.
ChatGPT has become a hit productivity tool, as well as a boon to students, authors, copy writers and content creators the world over. AI is a headache for many teachers and academics, many of whom fail not only to grasp its actual power and operations, but also how to usefully and constructively implement the technology in class activities and assessment. DALL-E, Midjourney and the like remain controversial phenomena in art and creative communities, where some hail them as invaluable aids, and others debate their ethics and value.
As with all previous revolutions, the dust will settle on that of AI. The research and innovation will continue as it always has, but out of the limelight and away from the headlines. It feels currently like we cannot keep up, that it’s all happening too fast, that if only we slowed down and thought about things, we could try and understand how we’ll be impacted, how everything might change. At the risk of historicising, exactly like I said I wouldn’t, people thought the same of the printing press, the aeroplane, and the computer. In 2002, Andrew Murphie and John Potts were trying to capture the flux and flow and tension and release of culture and technology. They were grappling in particular with the widespread adoption of the internet, and how to bring that into line with other systems and theories of community and communication. Jean-Francois Lyotard had said that new communications networks functioned largely on “language games” between machines and humans. Building on this idea, Murphie and Potts suggested that the information economy “needs us to make unexpected ‘moves’ in these games or it will wind down through a kind of natural attrition. [The information economy] feeds on new patterns and in the process sets up a kind of freedom of movement within it in order to gain access to the new.”2
The information economy has given way, now, to the platform economy. It might be easy, then, to think that the internet is dead and decaying or, at least, kind of withering or atrophying. Similarly, it can be even easier to think that in this locked-down, walled-off, platform- and app-based existence where online and offline are more or less congruent, we are without control. I’ve beendroppingbreadcrumbs over these last few posts as to how we might resist in some small way, if not to the detriment of the system, then at least to the benefit of our own mental states; and I hope to keep doing this in future posts (and over on Mastodon).
For me, the above thoughts have been gestating for a long time, but they remain immature, unpolished; unfiltered which, in its own way, is a form of resistance to the popular image of the opaque black box of algorithmic systems. I am still trying to figure out what to do with them; whether to develop them further into a series of academic articles or a monograph, to just keep posting random bits and bobs here on this site, or to seed them into a creative piece, be it a film, book, or something else entirely. Maybe a little of everything, but I’m in no rush.
As a postscript, I’m also publishing this here to resist another system, that of academic publishing, which is monolithic, glacial, frustrating, and usually hidden behind a paywall for a privileged few. Anyway, I’m not expecting anyone to read this, much less use or cite it in their work, but better it be here if someone needs it than reserved for a privileged few.
As a bookend for the AI-generated image that opened the post, I asked Bard for “a cool sign-off for my blog posts about technology, history, and culture” and it offered the following, so here you go…
Signing off before the robots take over. (Just kidding… maybe.)
Notes
For an excellent history of AI up to around 1990, I can’t recommend enough AI: The Tumultuous History of the Search for Artificial Intelligence by Daniel Crevier. Crevier has made the book available for download via ResearchGate. ↩︎
I’m often asked by students for samples of writing that align with what’s required for assessment tasks. This semester is no different, so I actually spent some time digging through old courses and studios I’ve run, finding a few good examples that I can share with the students.
Very often my feedback on student reflections tends towards hoping they’ll integrate or synthesise research, ideas, and thoughts on their making. I usually find myself saying ‘take a position and argue it’, by which I mean that reflective writing — at least in an academic context — shouldn’t be about a summary of everything achieved, every decision made. Rather, choose a single point — be it a creative choice, or a quote from a journal article, or something watched — and then unpack that single point to make connections to other researchers and scholars, other makers, other reflections/insights the student generated in the class.
This is difficult to achieve, even for seasoned researchers. Add to this that the accepted conventions of academic writing — the vast majority of it in many fields — are so restrictive in terms of expression as to be incomprehensible. This means that students become terrified of approaching any academic writing. It’s seen as boring, or dense, or difficult. This greatly stifles their curiosity, or their interest in finding the connections I try to encourage.
If only, I hear them say or imply, academic writing was easier to engage with. Which reminds me that there are some truly wonderful, writerly, scholars out there. You just have to look. This is far from an exhaustive bibliography, but here are a handful of scholars that I read for the joy of experiencing good writing as much as for research.
Ingold, Tim. 2011. “The Textility of Making.” In Being Alive, 219–28. Milton Park: Routledge. https://doi.org/10.4324/9780203818336-28.
Jagoda, Patrick. 2016. Network Aesthetics. Chicago: University of Chicago Press. http://ebookcentral.proquest.com/lib/rmit/detail.action?docID=4427890.
Miles, Adrian, Bruno Lessard, Hannah Brasier, and Franziska Weidle. 2018. “From Critical Distance to Critical Intimacy: Interactive Documentary and Relational Media.” In Critical Distance in Documentary Media, edited by Gerda Cammaer, Blake Fitzpatrick, and Bruno Lessard, 301–19. Cham: Springer International Publishing.
Murray, Janet Horowitz. 2017. Hamlet on the Holodeck: The Future of Narrative in Cyberspace. Updated edition. Cambridge, Massachusetts: The MIT Press.
Peters, John Durham. 2015. The Marvelous Clouds: Toward a Philosophy of Elemental Media. University of Chicago Press. https://doi.org/10.7208/chicago/9780226253978.001.0001.
Pomerance, Murray. 2008. The Horse Who Drank the Sky: Film Experience beyond Narrative and Theory. New Brunswick: Rutgers University Press.
Stewart, Kathleen. 2011. “Atmospheric Attunements.” Environment and Planning D: Society and Space 29 (3): 445–53. https://doi.org/10.1068/d9109.
A long-gestating piece of research has just been published in the Global Media Journal — Australian Edition. This piece emerged from a day of field-work conducted with the Posthumanities Reading Group from RMIT, under the stewardship of the late and much-missed Adrian Miles. The day was held in February 2017 at Pound Bend on the Yarra River, about 45 minutes north-east of the Melbourne CBD. Almost exactly a year later, on 5 February 2018, Adrian passed away while riding his beloved bike in the bush near Kinglake.
This piece is dedicated to Adrian, and his short but enormous influence on my thinking and approach to academic life.
How does it feel to make media? What goes through the filmmaker’s head right at the moment they hit ‘record’? What are the processes – mechanical, digital, physical, psychological – that occur before, during, and after the recording of sound or vision? Building on the recent embodied turn in screen production research and taking inspiration from core ideas of the new materialists, this experimental piece unfolds in two parts.
Part one takes the form of stream of consciousness writing in retort to quotes or ideas from new materialist thinkers like Andrew Pickering and Kathleen Stewart, and a reflection on one’s own media practice. The result of this is two recipes for a kind of embodied making, which were then put into practice with two pieces of media, The Yarra & I and Pieces of Pound Bend. An extended second part connects reflections on this practice to writing on cinema and time, primarily Gilles Deleuze and Jean Epstein.
This work examines where the maker fits in the nebula of media texts, tools, and technologies. What is the point of making media or – perhaps more aptly – when?
Here’s the reading list I put together to remember Adrian, and my colleague Adrian Danks’ touching tribute.
I shared on the weekend that I had been working, and how rare that was (working on the weekend, not working full stop!). I’m now further into that particular grind, working through Day 8 of a nine-day stretch.
I’m very much feeling it now. At times through a stretch like this you’re in the zone, you find your flow. But then there are times like now, when you feel like there’s nothing left.
It’s like a day after a rough night’s sleep; but just lengthened over a period of days.
One more day tomorrow – a full day, but away from the office. A time to discuss, to reflect, to plan.
Then two perfectly-planned research days, to get my head back into reading and thinking mode.
Then a long weekend.
I can do this.
Her language contains elements from Aeolic vernacular and poetic tradition, with traces of epic vocabulary familiar to readers of Homer. She has the ability to judge critically her own ecstasies and grief, and her emotions lose nothing of their force by being recollected in tranquillity.
