The Lost Robbies

The Lost Robbies

This is the story of The Lost Robbies.

The Lost Robbies

4 years ago

On July 17, 2018, Christies held their first ever annual Tech Summit in London. SuperRare had just launched a few months prior and the team was stoked to have the chance to attend and network with titans of the traditional art industry. At the time, the digital art world as we know it was still emerging and largely unknown, especially digital art tokenized on the blockchain. 

SuperRare was invited to add to the gift bags of the 300+ attendees, and wanting to do something cool and unique decided to partner with Jason Bailey and enlist Robbie Barrat, the first artist to ever tokenize on SuperRare, to create an artwork with 300 individual frames that could each be tokenized and given away to the attendees.

Robbie created AI Generated Nude Portrait #7 for the event, which he intended as 300 separate frames of a single artwork. Each of the 300 frames was tokenized separately and added to redeemable ETH gift cards with directions for how to claim the 1/1 token on SuperRare. The team put the cards into the gift bags and explained the story around them to as many people as possible, but the concept of cryptoart was still so early, weird and new to the folks in the room that many of the attendees had no idea how special the gift would end up being down the line. They literally had nuggets of digital gold in their gift bags, but trying to explain cryptoart and Ethereum to the traditional art world in 2018 was like trying to explain Netflix to Blockbuster in 1998.

A little more than 3 months after the event, Robbie (who was only 18 at the time) made worldwide art news when the code he created was used by French artist trio Obvious to create Portrait of Edmond Belamy, which went on to sell for $432,500 as the first ever AI generated artwork sold at a Christie’s auction with no credit to Robbie at the time.

Debate about the sale ensued amongst the AI art community, with opinions on both sides, and even though Robbie received no proceeds from that Christie’s sale there’s no doubt the story significantly elevated his name in the art world. 

I decided to look through all of the 300 tokens that were given away that day to get a better idea of how many actually still exist. I was very surprised to find that more than two years later only 12 of the 300 tokens were ever claimed, making it HIGHLY likely the other 288 tokens are now lost forever, AKA – The Lost Robbies.

One of the most recent secondary market sales for one of these twelve remaining tokens was for 16.5 ETH ($2,172), when Coldie purchased Frame #153 about 5 months ago from the XERO Gallery. Hindsight is always 20/20, but I’d say this was quite the missed opportunity for those 288 traditional art world attendees that didn’t see the vision for cryptoart at the time and never took 5 minutes to redeem their free Robbie Barrat artwork.

A quick glance at Robbie’s SuperRare profile shows a total supply of 314 artworks, but taking into account the 288 Lost Robbies, his actual existing supply of tokenized art is extremely low at only 26 tokens (14 single edition works + the 12 single edition frames of AI Generated Nude Portrait #7 that were claimed after the Christies Tech Summit). Robbie also still holds the record for the largest ever sale on SuperRare, when his first ever tokenized work AI Generated Nude Portrait #1 sold from first collector Jason Bailey to 2nd collector curiousnfts for 75 ETH ($13,265). 

I’ve been a huge fan of Robbie Barrat since the first time I laid eyes on his work almost 2 years ago, and I truly believe his tokenized works will have real value in the future. The story of The Lost Robbies and the lack of interest from the traditional art world at the 2018 Christies Tech Summit could very well end up going down in the history books as one of the biggest missed opportunities in art history.

Here’s a full look at the 12 existing frames of AI Generated Nude Portrait #7 with quotes from some of the owners:

“I have a provocative question, if Robbie Barrat had stayed with us during these two years of cryptoart, what would cryptoart be today? Come back mate, and play your game.” – Hackatao
Hack Collection – Frame 24

“I’m very lucky to have been able to acquire Frame 53 through a trade about a year ago and it will always be one of the most prized in my collection. The story behind these works and the lack of interest from the traditional art world in 2018 is and will always be one of the most interesting stories in cryptoart ” – Roses
Roses – Frame 53

x_melanie – Frame 65

“Collecting a Robbie Barrat feels like being one of the lucky custodians of something mysteriously precious that only in the future we will know the exact importance in the history of art” – TokenAngels
TokenAngels – Frame 101

 “Looking back on 2018 it is striking how big the gap was between the awareness of planting a seed (phrase) and cultivating a seed (phrase). Looking further back on history it reflects the same lack of preparedness when the disruptive hits the scene: Move along, nothing to see here.” – Zaphodok

Zaphodok – Frame 104 & 106

michaeldada – Frame 131

“It’s hard to summarize everything I like about Robbie Barrat in a short quote because there’s so many great things to mention about him. I have great admiration for his creative vision as an artist, his original process and ingenuity as a young AI pioneer. I also admire his unique taste as a curator and the integrity he has as a person. If I could only pick two things it would be these: Firstly, his ability to show what AI can do as a creative tool that can liberate other artists/designers from the chain of traditional methods. Secondly, his ultimate decision to become an artist.” – curiosnfts
curiousnfts – Frame 149

Robbie is a special kind of artist. I have an appreciation that he is multi-disciplinary GAN artist using technology to create not only artwork, but also in fashion. The most important artworks of a movement sometimes happen when no one is expecting them.” – Coldie
Coldie – Frame 153

“The Nude Portrait frames are not only a piece of art history but also they embody the essense of something that is super rare. Robbie’s internship with NVIDIA gave him access to computing power far beyond that of the average AI artist. Not only is it near-impossible to recreate an AI artwork due to the nature of the algorithm employed, but the hours of training on powerful GPUs make for a truly unique artwork that would none could truly replicate.” – lordcharles
lordcharles – Frame 165

“Probably the artist that cares less of the NFTs craziness and one of the few that really created something valuable. YES AI GAN!” – Billy Whistler
billywhistler – Frame 175

candytree – Frame 179

33

Zack Yanger

Artist/Collector (Roses) & Head of Marketing at SuperRare

Art

Tech

Curators' Choice

An Intercontinental Conversation between @falco, @harshitrnnh, and @pindar

An Intercontinental Conversation between @falco, @harshitrnnh, and @pindar

An Intercontinental Conversation between @falco, @harshitrnnh, and @pindar

4 years ago

Pedro Falco

As human beings, our main production is data. As a visual artist, I do generative art. My work seeks to reinterpret data and use it as raw material. Through programming I write images that reflects the trail we left.

Harshit Agrawal

Harshit is an artificial intelligence (A.I) and computational artist. He uses machines and algorithms and often creates them as an essential part of his art process, embracing becoming the cyborg artist. He often juxtaposes traditional art styles and visuals with machines and computation, creating a space to both direct, and be guided by the machine.

Pindar Van Arman

Pindar is an AI Artist exploring the intersection of human and artificial creativity. Winner of the Robot Art Prize in 2018, his robots use a broad array of deep learning, generative algorithms, and feedback loops to bring his AI creations into the material world one brush stroke at a time.

Pedro Falco of Argentina (@falco), Harshit Agrawal of India (@harshitrnnh), and Pindar Van Arman of the United States (@pindar) are SuperRare artists specializing in generative and AI art. None of them had met or spoken before this show, but hearing that they were going to be exhibiting art together the three got together for a conversation. This is a record of their conversation where they do a deep dive into each others art, process, and cultures.

@pindar:

Let me begin by saying I am really excited to see each of you here on SuperRare. Big fan of both generative and AI art. After falling in love with several of your new works visually, I was hooked, and had so many questions about how they were made, and who they were made by. 

So how do I begin getting to the bottom of that. Maybe I can direct my first question to

@falco.

In your description of your work Gray Matter you talk about how it is like a nervous system, with millions of dots, passages, connection…  In Ether Crib, you talk about a voyage through the ether.

Gray Matter
Edition 1 of 1
Gray Matter is my first generative artwork. It’s a continuous flow of data that drifts like a nervous system, leaving a trace, drawing a path. More than a million gray dots, invite us to see secret passages that thought takes to find new connections.

These are wonderful descriptions but it did make me wonder, did your generative work begin as an idea that you created the artwork from, or did the artwork come after the ideas you describe?

@falco:

I was iterating on generative systems and making it more and more complex. So the generative system comes first. I like this idea of creating something and then giving it a name. It’s like something was born and I look at it and I see the meaning of that. In a way it is an attempt to consider myself as a creator, so I design a system, the system draws and finally I am the one who makes the futile attempt to communicate things. I try to escape to the idea of art or design as a moment of inspiration. In the specific case of “Gray Matter”, I was deeply obsessed with reading how the brain works. I was interested in this idea of little things participating in something bigger. Small agents move and participate in something important and each point, no matter how small, has a crucial impact on the entire process. So like I said, I’m always on the edge of what is abstract and figurative, I always try to connect the dots and try to choose a concept that deals with technique, what I see and what I think.

I had a similar thought when looking at @harshitrnnh’s work. 

I was looking at your Machinic Situatedness series, @harshitrnnh, and saw what clearly appears to be budhas in the compositions.  Knowing that you are an AI artist I realized that you are probably working with a dataset that includes imagery of Budha. This made me wonder what you thought about collecting and managing the datasets? Does your artwork start at that point, before, or after?

Machinic Situatedness 5
Edition 1 of 1
Machinic Situatedness is a series of artworks that uses artificial intelligence (A.I) to explore the subject ‘cultural situatedness’ and influences in the genre of AI art. These works are created by an A.I drawing inspiration from Budhhist painting styles to create an abstract, dream like output using GANs. This series asks the questions- what is an AI machine’s cultural underpinning and how can we broaden its scope? These draw a lot of reference from Nam June Paik’s TV Buddha work, here alluding to the cycles of transcendence which we undergo as a species, continuous cycles of trying to become something more than ourselves, which we are now channeling through the evolving role of AI in our lives and AI itself is by learning more from us.

@harshitrnnh:

Datasets play a very crucial role in my AI art practice. I take a lot of time to curate the datasets as I want them, curating each image of it. In some of my works, I create datasets too, by some underlying AI process like image to image translation and then use that to further train my art generating AI system. The artwork, however, begins prior to that in the conceptualization phase, where I think of what I want to communicate with the piece or series, what I want it to look and feel like, how I plan to produce it and such. Once that plan is set, yeah, dataset creation or curation is one of the first steps in the process. In recent projects, I have explored dataset collection by services like mechanical turk too. Another aspect that I think about often is what kinds of art are digital archives or datasets available readily? It usually is of European or American art, and as one can see in the AI art space, most of the art is an outcome of those available datasets, be it Wikiart, Google Art archives or large museum collections like that of the Met or some more European ones. This tends to perpetuate the aesthetics of art of these regions even further with AI art. As an Indian working with AI art, I try to often work with art closer to home, as you can see in the Machinic Situatedness series.    

Looking at both of your art, I am curious about your datasets.  So let me begin by asking you, @pindar, what dataset do you begin with? You paint portraits of specific people. Is their face the only data you use, or is there more? Furthermore,  after defining the data, are you surprised by the machine’s output, or you know roughly how it’s going to turn out based on your setup?

@pindar:

I have no idea how paintings will come out when they begin, and this is because I do not know the dataset before it begins.  There are some specific inputs that I begin with, like images of the person to be painted and images and data from the robot’s previous paintings.  But the most important piece of data the robot works from actually comes live from the canvas.  My robots paint with feedback loops. So every brush stroke it makes, it photographs and uses that data to decide on the next brushstrokes. This is easiest to understand in my timelapses. For example, watch a timelapse of Portrait 18,384.

Portrait 18,384 by @pindar (https://superrare.com/artwork-v2/portrait-18,384-13132)

Portrait 18,384
Edition 1 of 1
Portrait painted with acrylic on canvas by an autonomous creative AI using 4 reference photographs, 24 competing algorithms, 2,298 visual feedback loops, 18,384 brush strokes, millions of aesthetic decisions, and countless calculations.

Notice how the robot changes direction three or four times before finally settling in on a design it liked and finishing up the details. This is because there are dozens of creative AI agents, six of which are visualized in the time lapse, competing and fighting for control of the brush. As the painting progresses, the robot is constantly analyzing it in a creative feedback loop. At the same time it is re-imagining the piece based on what is emerging on the canvas, continuously adjusting its direction and interpretation of the data it began with.  All the creative AI agents fighting to influence the final image live as the robot is painting, so I have no idea what will emerge.

This is really how human artists work, isn’t it, which is my goal. We make marks, step back and evaluate the marks, then make the next marks. And when you think about all the datasets that the robot is using, you realize that the most important one is being created right there on the canvas. It is the progress being made on the actual painting. Am striving for a generative painting system so complex, that true creativity emerges from it.  Some people think I have already achieved it, others think it will never happen.

@harshitrnnh:

Interesting.. And @falco how do you select what data sources you want to incorporate in your work? What is the relation between agents and the data sources?

@falco:

As well as being an artist, I also consider myself a researcher because I do a lot of research on different libraries, web api, sounds and images. I spend a lot of time selecting and ordering data sets. I’m also a big fan of algorithmic functions, so I use a lot of different noise algorithms like Perlin noise, Curl noise, and Simplex noise, to name a few. I process data as color values, so RGB represents the XYZ values of an apparent 3D space. 

So for example the white RGB value is 1-1-1. So, 1 pixel takes coordinates 1-1-1 in xyz space. Imagine this with a million pixels with different color values and different possible positions. I always start from one source and handle the information through a feedback system. I use noise to apply different forces, speeds, and life. It’s interesting how complex algorithms appear to be random, but they are not. So, since the generative system is “alive”, the agents follow one of the possible paths. For me it is a great metaphor in which everything has already been said.

But listening to @pindar and interesting thought occurred to me.  @pindar, considering how you are trying to program your robot to have your creativity and think it is possible, do you take this to the logical conclusion all creative processes to be generative?

@pindar

Yes I believe all creative processes are generative, so that would put almost everything classified as art in the generative category.  And I am serious, hear me out..

Artists typically gain popularity when they achieve a style that is appealing, and they start reliably repeating the style in their work. Think about how you can identify a van Gogh you have never seen before as a van Gogh. It has the van Gogh look. van Gogh had a process and style that he would repeat over and over again. Sometimes he applied his style to a painting of his shoes, sometimes to a self portrait, and most famously to a starry night.  His process was in his head, and whenever he applied it, he took a scene as input, then applied the van Gogh style to that scene.  For me this is similar to how generative artists put input into their generative systems, and create art from it.

 Looking at your work, I can definitely see the style. You have a great look.

Each of my robots eventually develop their own style. Here are two separate systems, one that works with me called cloudpainter, and another that is completely independent called artonomous.

Robot or human, the steps that go into making more work in that style is the generative system. We all follow patterns… And that is why I am so drawn to your work, @harshitrnnh’s work. Even though it is generated by AI, there is something else there that breaks free from the patterns. Something spiritual. Each of your four work seem to cross over from the mechanic into the unseen. 

Not sure if you can answer this, but ready for a tough question, have you found that there is spirituality in AI? 

@harshitrnnh:

Very interesting question! In my (limited) understanding and encounters with spirituality, while entities can embody spirituality, there is an alternate aspect of entities being able to evoke a sense of spirituality in people that encounter them. In that sense, I do feel art is spiritual, in the sense that it can allow for the viewer or the audience to have an experience that is spiritual and transcendental, even if momentarily. In that spirit, I totally feel AI art has the ability to have a spiritual impact on it’s audience and my attempt is exactly at creating such art. 

 For example, in the Machinic Situatedness series, where I work with Buddha figures, the attempt is to create a dreamy spread of pixels that resemble Buddha, without creating exact contours, evoking a sense of the machine dreaming of Buddha, and in turn drawing the audience to feel some sense of that too.  

@pindar:

I can see the juxtaposition of the traditional and the modern in your work, which is interesting and apparent in each piece. Is this focus on dualities intentional?

@harshitrnnh:

The focus on confusing these dualities is definitely intentional. To a large extent, it’s a direct result of my upbringing in India and in a somewhat traditional family (like a lot of families in India) and then being introduced to computers and digital technology at some point. I’ve grown up with Indian mythological stories and a sense of spirituality embedded in them, which both fascinates me and serves as a large part of my value system and outlook in life. On the other hand, I am equally fascinated and excited by computational technology to allow us to manifest various imaginations, and now to have an opportunity to work with AI which, in some ways, offers us a creative partner, and whose ‘intelligence’ we have the ability to sculpt. I therefore try and combine the traditional visual systems that I’ve grown up around with current technologies I’m fascinated in, thereby reimagining visual traditions with modern day technology, thus actively engaging with it rather than passively preserving it.

@falco:

Fascinating. 

And on the question of culture, I can not help but notice that we are three artists, on three continents, with many different influences. But each of us are speaking with our art in the same language. @pindar makes portraits, I make generative abstracts, and @harshitnnh appears to be somewhere in between so to speak.  I have really enjoyed talking with you two and enjoyed learning about your work in this show.  Thank you…

@harshitrnnh:

Definitely, thank you as well.

@pindar:

It has been a pleasure…

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SuperRare

SuperRare is a marketplace to collect and trade unique, single-edition digital artworks.

Art

Tech

Curators' Choice

Situating Artificial Intelligence Art in Traditional Visual Cultures

Situating Artificial Intelligence Art in Traditional Visual Cultures

Situating Artificial Intelligence Art in Traditional Visual Cultures

4 years ago

Harshit is an artificial intelligence (A.I) and computational artist. He uses machines and algorithms and often creates them as an essential part of his art process, embracing becoming the cyborg artist. He often juxtaposes traditional art styles and visuals with machines and computation, creating a space to both direct, and be guided by the machine.

As we engineer the nuts and bolts of a new ‘species’ standing around by the corner of its own ‘intelligence’, one question that seldom gets any attention is, what is such an entity’s cultural underpinning, what is its visual and aesthetic background, especially as we make it our primary medium of societal and individual reflection.

With AI art slowly but steadily gaining popularity internationally, one visual trend hard to miss is the art being created by it reflecting European and American art histories and aesthetics predominantly, both because of majority AI artists being from that region, and because of better availability of digital art archives of those regions. Does it then mean that that is what AI art’s foundations will be? What is an AI machine’s cultural underpinning and how can we broaden its scope?

In a lot of my works, like in the series Machinic Situatedness, I ground this new artificially intelligent artist collaborator in Indian visual culture and art, drawing inspiration from its art various forms and figures, which rarely find representation in art datasets digitally available. I work with a variety of Buddhist Thangka paintings as my source, alluding to the cycles of transcendence which we undergo as a species, continuous cycles of trying to become something more than ourselves, which we are now channeling through the evolving role of AI in our lives.

This work draws a lot of inspiration from Nam June Paik’s TV Buddha. While Paik calls upon the aspect of reflection and contemplation, with Machinic Situatedness, in the age of A.I as machine’s step into the realms of creation, I get a machine to ‘dream’ up its imagination of Buddha, in a manner conveying the awakening of bits.

Machinic Situatedness 4
Edition 1 of 1
Machinic Situatedness is a series of artworks that uses artificial intelligence (A.I) to explore the subject ‘cultural situatedness’ and influences in the genre of AI art. These works are created by an A.I drawing inspiration from Budhhist painting styles to create an abstract, dream like output using GANs. This series asks the questions- what is an AI machine’s cultural underpinning and how can we broaden its scope? These draw a lot of reference from Nam June Paik’s TV Buddha work, here alluding to the cycles of transcendence which we undergo as a species, continuous cycles of trying to become something more than ourselves, which we are now channeling through the evolving role of AI in our lives and AI itself is by learning more from us.

Machinic Situatedness 5
Edition 1 of 1
Machinic Situatedness is a series of artworks that uses artificial intelligence (A.I) to explore the subject ‘cultural situatedness’ and influences in the genre of AI art. These works are created by an A.I drawing inspiration from Budhhist painting styles to create an abstract, dream like output using GANs. This series asks the questions- what is an AI machine’s cultural underpinning and how can we broaden its scope? These draw a lot of reference from Nam June Paik’s TV Buddha work, here alluding to the cycles of transcendence which we undergo as a species, continuous cycles of trying to become something more than ourselves, which we are now channeling through the evolving role of AI in our lives and AI itself is by learning more from us.

In another series called Masked Reality, I use A.I to explore the subject of faces, traditions and identity, especially its malleability in the age of technology. I generate faces drawing inspiration from traditional mask cultures of the central region of India.

Masked Reality 1
Edition 1 of 1
Masked Reality is a series of artworks that uses artificial intelligence (A.I) to explore the subject of faces, traditions and identity, especially its malleability in the age of technology. These works are created by an A.I drawing inspiration from mask cultures of the central region of India. This juxtaposition of the traditional with the modern, both used to engage with the world from new vantage points, is an attempt to think of alternate visual cultures of AI too.

Masked Reality 3
Edition 1 of 1
Masked Reality is a series of artworks that uses artificial intelligence (A.I) to explore the subject of faces, traditions and identity, especially its malleability in the age of technology. These works are created by an A.I drawing inspiration from mask cultures of the central region of India. This juxtaposition of the traditional with the modern, both used to engage with the world from new vantage points, is an attempt to think of alternate visual cultures of AI too.

Throughout our years of existence as a culture, we’ve crafted and performed several kinds of rituals and ceremonies, both collective and individualistic as acts of transformation and transcendence. Masks and face transformative decorations have been fundamental across the world and definitely in the Indian culture in our journeys into unknown realms, in our celebrations of the malleability of human representation, or as a tool for practical disguise and entertainment. It helps us engage with our world from a completely new vantage point, augmenting our sense of self, very similar to what technology, especially A.I enables today. What happens when these media of transcendence collide? Can we teach machines about our cultural heritage, and as a result make them an instrument for our own exploration and engagement with our heritage? As technologies advance, there is gravitation towards convergence and dilution of cultures, to fit into manners of technology standardizations. Instead, can we use these advancements in technology to offer us a new lens to look at and engage with our past heritage in exciting and completely new, unconventional ways, crafting alternate aesthetics, confusing tradition and technology?

More of my works can be found here- http://harshitagrawal.com/

28

SuperRare

SuperRare is a marketplace to collect and trade unique, single-edition digital artworks.

Art

Tech

Curators' Choice

Daniel Ambrosi: Dreamscapes

Daniel Ambrosi: Dreamscapes

Daniel Ambrosi: Dreamscapes

4 years ago

Daniel Ambrosi is recognized as one of the founding creators of the emerging AI art movement and is noted for the nuanced balance he achieves in human-AI hybrid art. Ambrosi combines computational photography and artificial intelligence to create exquisitely detailed artworks that move people visually, viscerally, and cognitively. His artworks have been exhibited internationally, installed in major tech offices, featured in multiple publications, and collected by enthusiastic patrons worldwide.

Dreamscapes: Post-Lecture Interview

Daniel Ambrosi offers his thoughts on collaborating with an AI, taking inspiration from past artists, and his quest to create immersive experiences with his art. This video was recorded on 25 Sep 2019 following an internal art+tech talk given at the NYC headquarters of Concentric Health Experience. [Video recorded and produced by Parth Upadhyay]

Dreamscapes: The Tech Behind the Art

Two brilliant engineers, Joseph Smarr (Google) and Chris Lamb (NVIDIA), offer a layman’s explanation as to how they modified Google’s open source “DeepDream” software to operate on multi-hundred megapixel images and, in the process, enabled computational photography artist Daniel Ambrosi to take his work to new heights. [Video produced by H2 Video (h2video.com)]

1

Daniel Ambrosi

Daniel Ambrosi is recognized as one of the founding creators of the emerging AI art movement and is noted for the nuanced balance he achieves in human-AI hybrid art. Ambrosi combines computational photography and artificial intelligence to create exquisitely detailed artworks that move people visually, viscerally, and cognitively. His artworks have been exhibited internationally, installed in major tech offices, featured in multiple publications, and collected by enthusiastic patrons worldwide.

Art

Tech

Curators' Choice

Fine Art and the Unseen Hand

Fine Art and the Unseen Hand

Fine Art and the Unseen Hand

4 years ago

Reconsidering the role of technology in the handcrafted tradition of fine art

Daniel Ambrosi is recognized as one of the founding creators of the emerging AI art movement and is noted for the nuanced balance he achieves in human-AI hybrid art. Ambrosi combines computational photography and artificial intelligence to create exquisitely detailed artworks that move people visually, viscerally, and cognitively. His artworks have been exhibited internationally, installed in major tech offices, featured in multiple publications, and collected by enthusiastic patrons worldwide.

ABSTRACT:

Throughout the ages, a dance has taken place between art and invention; expression and technique. Traditionally, a greater appreciation and higher value has been assigned to artworks that are primarily handcrafted by their human creators, or where the hand of technology has been hidden or subdued. In those instances where the application of technology to visual expression unavoidably brought attention to itself (e.g., photography, multimedia, 3D graphics), the initial reaction of the art world has been to discredit or diminish the importance of these works to the progression of fine art. The thesis of this article is that this initial assessment contains a bias toward handmade art that is ill-founded; history has repeatedly shown that the injection of new technologies into artistic expression has never, by itself, precluded the eventual acceptance and legitimization of new art forms.

Now, advances in virtual reality and artificial intelligence are ushering in novel and powerful opportunities for visual expression where technology–more than ever–becomes an active partner in both the artistic process and the art experience. Let’s learn our lessons from the past: In this age of exponential change, it is time to recognize, accept, and even celebrate the role of technology in the evolution of fine art.

Man Drawing a Lute (1523) by Albrecht Dürer

INTRODUCTION:

The history of art is filled with documentation and speculations regarding the tools and technologies artists used to execute their visions. Interestingly, this topic often generates heated discussions among a wide variety of scholars, not only about the plausibility of specific theories but also with respect to considerations of artistic talent and intent. Take for example the Hockney-Falco thesis advanced by artist, David Hockney and physicist, Charles M. Falco, which posited that the development of optical instruments helped advance realism in Western art since the Renaissance.

Art historians in particular seemed offended by the implication of this theory: that the Old Masters “cheated and intentionally obscured their methods.” These strong negative reactions in turn imply that these scholars believe the great works of these masters would somehow be of less value or indicative of a lesser talent if indeed these works were not produced entirely by hand and by “eyeballing it.” But why should this matter at all? Of what consequence is the artist’s manner of execution to the ultimate expression and appreciation of an art piece? If an artist was able to manifest their artistic vision fully-formed with a snap of their fingers, would that artwork have no value?

EXPERIMENTATION:

It has been said before that every great artist is a great inventor. Frustration can be a strong motivator. My own frustration with the limitations of traditional photography forced me to tinker and experiment with both old and new approaches to my art form that ultimately led to critically-acclaimed work. But that’s a story for later. First, let’s consider a more famous example where it’s highly likely (although not conclusively proved) that the interplay between art and invention led to a huge advance in artistic expression.

The 17th-century Dutch artist, Johannes Vermeer, is considered one of the greatest painters of all time; to some “an unfathomable genius.” His exquisite handling of light and near-photographic realism was many decades, if not centuries, ahead of his contemporaries. And yet very little is known of his artistic training or background. This has led to much speculation over the years among art scholars that Vermeer made use of optical aids in executing his works. This, in and of itself, isn’t particularly controversial; there are several well-established cases of artists in prior centuries using optical instruments to assist them. What is controversial–and even shocking–is the possibility raised recently by prolific inventor, Tim Jenison, that Vermeer might not have had any artistic skill or experience at all! Jenison followed this hunch to its logical conclusion by attempting to faithfully recreate a Vermeer painting from scratch despite having no artistic training whatsoever… and he succeeded:

Johannes Vermeer’s “The Music Lesson” (left, 1665) vs. Tim Jenison’s experimental homage (right, 2013)

This ambitious (and excruciatingly tedious) experiment was documented in the fascinating 2013 film, Tim’s Vermeer by Penn & Teller. At the conclusion of the film, Penn Jillette had this to say:

“My friend Tim painted a Vermeer. In a warehouse, in San Antonio. He painted a Vermeer. And is Tim an artist, or is Tim an inventor? I think the problem is not trying to pick one of those two for Tim to be, but the problem is that we have that distinction. What Tim has done is given us an image of Vermeer as a man who is much more real, and in that way much more amazing. I mean, unfathomable genius doesn’t really mean anything. Now he’s a fathomable genius. If there’s any great merit in this picture as a work of art, it’s Vermeer’s. It’s Vermeer’s composition… and it’s Vermeer’s invention. It’s just been forgotten for 350 years.”

SPECULATION:

Germane to this thesis, it may be useful to consider a couple “what if” scenarios…

Giovanni Battista Piranesi was an 18th century Italian artist famous for his etchings of Rome and whose haunting depictions of imaginary prisons (“Le Carceri d’Invenzione”) continue to captivate viewers to this day:

Le Carceri, Plate XVI (Second State) by Giovanni Battista Piranesi

What if, back in 1750 or so when Piranesi was working on this series, he had at his disposal a sophisticated mechanical tool that could intelligently rework his etchings line-by-line in a wide variety of ways in order to serve a specific artistic intent? For example, perhaps this device could lend an extra dreamy flow and coherence to his vision without requiring any additional effort on his part beyond configuring a few wheels and gears. Should Piranesi avoid the use of such a device for reasons of artistic purity or because the ratio of impact achieved to effort expended would be unusually high? What if an ambitious assistant demonstrated this device and showed Piranesi what it could do for him? Should that assistant be chastised and expelled from his studio for daring to suggest that the master’s work could be improved or his artistic vision more fully expressed or explored?

Le Carceri XVI (“dreamed” with artificial intelligence software by the author)

And what if an even more ambitious and technologically-adept assistant came up to Piranesi and said, “Hey capo!” (That’s “boss” in Italian.) “How about I take all 16 of your popular Carceri etchings and create a visual medley in three dimensions that your fans can walk through and interactively explore, perhaps while playing some mournful cello music in the background?” Would that be an extension of Piranesi’s artistic intention… or a cheap trick? You be the judge:

PROGRESSION:

Let’s talk about artistic progression for a bit by focusing on a particular art form, that of representational landscapes. Currently, this art form is beginning to undergo a shift into a third paradigm. The first paradigm, landscape painting, emerged as a unique art form in 17th century Europe due in part to the popularity of evocative paintings depicting scenes in and around Rome by the French artist, Claude Lorrain. Representational landscape painting reached its pinnacle in the mid-19th century with the body of work created by the painters of the Hudson River School in the United States.

The Heart of the Andes (1859) by Hudson River School painter, Frederic Edwin Church

The second paradigm began with the commercial introduction of the daguerreotype camera in 1839. You can bet landscape painters of this time felt pretty threatened when–right at the top of their game–suddenly a device comes along that can capture the actual photons representing the scene. But the truth is photography was, at first, a big step down in quality and impact; the color wasn’t there, the resolution wasn’t there, you couldn’t make huge prints, etc. For these reasons, and because early photography was largely experimental, landscape photography was not initially accepted as a legitimate art form. But gradually this changed as techniques and results steadily improved and you had folks like Ansel Adams producing majestic black-and-white landscape images in the first half of the 20th century…

The Tetons and the Snake River (1942) by Ansel Adams

…and in the mid-1900’s, sensitive individuals like Eliot Porter, whose intimate landscapes did much to boost acceptance of color photography as an artistic medium…

Redbud Tree in Bottomland (1968) by Eliot Porter

… and in the late 20th century, folks like Peter Lik using panoramic film cameras to create large format works that, at least in some respects, surpassed those of the great representational landscape painters.

Magic Cove by Peter Lik

A similar progression is taking place now as landscape art enters a third paradigm with the advent of virtual reality. Again, we’re seeing a bit of a step down in quality and impact, with lots of room for improvement and plenty of problems to solve. But that will happen, and as it does, landscape VR will gradually become accepted as a legitimate art form.

2 steps forward, 1 step back: The stepwise progression of landscape art

EXPRESSION:

So what is it exactly that drives art forward? Is artistic progression primarily driven by opportunistic and/or open-minded creators looking to capitalize on, or experiment with, new technologies and methods? Or is art mainly advanced by frustrated individuals with a burning desire to more effectively express their inner visions, thoughts, and feelings? Or is it both? And why are these artistic developments usually met with disdain or dismissal by art critics and scholars?

Consider the progression of the great J.M.W. Turner, the celebrated painter of early 19th century England. When his painting “The Dort” was first exhibited in 1818, it was hailed as “one of the most magnificent pictures ever exhibited” and Turner’s contemporary, English Romantic painter John Constable, called it the “most complete work of a genius I ever saw.”

Dort or Dordrecht — The Dort packet-boat from Rotterdam becalmed (1818) by J.M.W. Turner

Over time, Turner developed a looser, more evocative style that was initially met with some controversy by more conservative members of the art establishment, sometimes resulting in relegating his newer, more daring works to ancillary halls at important art exhibits, despite his fame and credibility.

The Fighting Temeraire (1839) by J.M.W. Turner

When, later in life, Turner really began to push the expressiveness of his works, the push back was formidable: he was widely mocked and both his eyesight and mental health were questioned. Of course in retrospect Turner is now seen as a trailblazing genius who set the stage for the Impressionist movement that followed in the second half of the 19th century.

Norham Castle, Sunrise (1845) by J.M.W. Turner

Turner’s progression is a vivid example of an artist pushing the limits of what his tools and technology could enable for the sake, no doubt, of more fully realizing or expressing his artistic vision. Ultimately, he was celebrated for this. Should he be any less celebrated if he had chosen to explore beyond his toolset and experimented with new technologies such as, say, photography? My point in asking that question is to illustrate that there is more than one way to skin a cat: an artist can experiment within their toolset or beyond. And both approaches should be considered equally legitimate.

I’ll now use an example of my own work where I had to do both: first pushing the limits of my existing toolset and then reaching beyond into entirely new technologies in order to achieve a specific artistic intent…

As an avid hiker, skier, and traveler, I have many times come across scenes of such breathtaking grandeur and beauty that I am struck not just visually, but also viscerally, and cognitively. When that happens, I find myself desperately wanting to bottle my experience with such fidelity that when I share it with others later, the same thing happens to them. My inability to make that happen with traditional photography was a source of endless frustration.

Central Park Azalea Walk (single exposure captured with a 35mm lens, 2013) by the author

Ultimately, this led me to experiment with computational techniques that pushed the limits of my available toolset–within the domain of photography–to create depictions of landscapes that were more immersive, more vibrant, and significantly higher resolution than I had been able to achieve before. This was essentially accomplished by stitching and blending together dozens of individual photos in order to “force” my camera to see the world more closely to how human eyes see the world. Refinement of these methods eventually generated a body of work that took me two-thirds of the way toward achieving my goals; by all reports, I managed to impact people not just visually, but also viscerally with my new imagery.

Central Park Azalea Walk (63-shot photographic assemblage, 2013) by the author

The cognitive effect, however, remained out of my reach for the time being. Then, in July 2015, Google released a bit of open source artificial intelligence (AI) software called DeepDream that became a viral sensation. This software was initially developed as a diagnostic utility to help Google researchers understand how their own AI-based image recognition tools were working. Running DeepDream had an unexpected hallucinatory effect upon images subjected to its analysis. When the general public got their hands on this software, the Internet went crazy! People all over the world used DeepDream to turn their photos into, well… psychedelic nightmares. Like most novelties, DeepDream became an amusing fad that quickly came and went.

I, however, had other ideas in mind. It occurred to me that DeepDream might just be the tool I needed to add a level of expressiveness to my images that, like the later works of Turner and that of the Impressionists, could take my art in a new direction. Encouraged by the results and feedback on initial low-resolution experiments, I pressed on to find a way to use DeepDream on my giant images.

Central Park Azalea Walk Dreamscape (initial low-resolution “dreaming” test, 2015)

Unfortunately, DeepDream as released was simply not designed to operate successfully on multi-hundred megapixel images like those in my collection–it would just crash. Fortunately, I was eventually able to convince two brilliant software engineers, Joseph Smarr (Google) and Chris Lamb (NVIDIA), to modify the DeepDream source code to suit my purposes. Their turbocharged version of DeepDream made it possible to imbue my giant landscape scenes with a stunning degree of wholly unexpected form and content that is only revealed upon close-up viewing.

Central Park Azalea Walk (original photographic detail, 2013)

With the help of my ingenious engineering collaborators, I ultimately found a way to close the loop on my artistic intention and deliver a cognitive experience to my viewers. From a distance my large format artworks appear to be a photographic reality, but up close they are revealed as a digital fantasy. This forces my viewers to question the reality of what they are seeing in precisely the same way I find myself questioning the reality of what I’m seeing when I am in the presence of scenes powerful enough to affect me both visually and viscerally.

Central Park Azalea Walk Dreamscape (“dreamed” detail, 2016)

But here’s the interesting thing about this: I managed to fulfill my artistic intent with the help of a digital aid that was initially derided as a gimmick. This software has unlocked a superpower for me in the sense that I could never execute these images solely by my own hand and even trying to do so would require a prohibitive amount of time and training. And while I can set the direction of my digital aid, I’ve had to give up a degree of control in that I can’t really tell it exactly what to do and, in fact, I honestly don’t even fully understand how or why it’s doing what it’s doing. It may even be fair to say that the level of power and autonomy of my customized DeepDream software elevates this tool to that of a full-fledged artistic collaborator, albeit an artificially intelligent one. Does this diminish the value of these artworks? Does the fact that sometimes I’m sleeping while my AI collaborator tirelessly labors away, performing literally hundreds of quadrillions of math operations in the process of transmuting my images, make its contribution to my artwork worthless? I can tell you with confidence that it certainly doesn’t diminish their impact; quite the opposite is true. And besides, to paraphrase Penn Jillette’s comments above on Vermeer: It’s my composition… and (for the most part) it’s my invention.

COMPUTATION:

Digital computing brings with it an ever-accelerating power to process data, reveal patterns, and otherwise extend our natural capabilities… and for this it should be celebrated. Lest you think this article is all about me, I’d like to share two more examples of other artists using computation to great effect.

Stephen Wilkes’ “Day to Night” photographic series has captured the imaginations of a wide audience and earned him a TED Talk that has been viewed over 1.5 million times as of this writing. Wilkes leverages technology to push the limits of traditional photography in order to “explore the space-time continuum” and “reveal the stories hidden in familiar locations.”

The Flatiron, NYC. Photograph © Stephen Wilkes

Learn more about Wilkes’ compelling work here:Capturing Both Night and Day in a Single PhotographPhotographer Stephen Wilkes has become well-known for his project titled “ Day to Night,” which features single images…petapixel.com

In the tradition of the world’s best tinkerers, Adam Magyar has engineered an ultra-high-speed photography rig that he has used to create some of the most mesmerizing video footage ever seen. His work is another vivid example of technology providing an artist a superpower with which he can express an artistic vision that would simply not be possible to execute by hand. As you’ll see in the video below, his cold unthinking camera rig ironically plumbs the depth of his unwitting subjects’ souls in a way that could only be captured surreptitiously and at lightning speed.

CONCLUSION:

Throughout history, technology–our tools and techniques–have enhanced not only our abilities and our productivity, but also our creativity. Beyond mere utility, technology can and has been leveraged toward what people want to express, not just what they want to get done. We are now reaching a point where our tools can become active partners in our creative efforts and even our collaborators, helping us to realize our artistic visions and execute our ideas in ways that we could never do on our own… but working towards goals that we set and direct. It is time to move beyond the bias toward handmade art once and for all. Doing so will not in any way diminish or threaten the value of fully handcrafted artworks moving forward, just as it should never have done to technologically-enabled art in the past.

DREAMSCAPES by Daniel Ambrosi
danielambrosi.com/Dreamscapes
Video edited by Derek Ambrosi (derekambrosi.com)

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Daniel Ambrosi

Daniel Ambrosi is recognized as one of the founding creators of the emerging AI art movement and is noted for the nuanced balance he achieves in human-AI hybrid art. Ambrosi combines computational photography and artificial intelligence to create exquisitely detailed artworks that move people visually, viscerally, and cognitively. His artworks have been exhibited internationally, installed in major tech offices, featured in multiple publications, and collected by enthusiastic patrons worldwide.

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