Anna Ridler
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Mosaic Virus, 2019

Mosaic Virus, 2019

3-screen GAN video installation

Mosaic Virus (2018) and Mosaic Virus (2019) are a series of works that bring together ideas around  capitalism, value, and collapse from different points in history. The former is a single screen moving image piece displaying a grid of continually evolving tulips in bloom; the latter a three screen video installation, each screen showing a single tulip. In both pieces the tulips are controlled by the price of bitcoin, changing over time to show how the market fluctuates and making this connection explicit. Tulipmania was a 17th-century phenomenon which saw the price of tulip bulbs rise and crash: at the peak going for the same price as an Amsterdam townhouse before falling to the price of an onion. It is often held up as an instance of one the first recorded instances of a speculative bubble, and strong parallels can be made with the ongoing speculation around cryptocurrencies.  There is an obvious economic connection between the two systems -  both are often depicted as unstable frenzies -  but for me this association goes beyond how the prices of the two behave on a graph. 

The title of these works, Mosaic Virus, comes from the name of the disease that causes the distinctive stripes, or flocking, in tulip petals. It is caused by aphids laying eggs in the bulbs meaning that a tulip could produce a pure white flower one year, but a heavily striped one the next. This element of chance and rarity increased the desirability at the height of tulipmania and helped drive speculative buying and selling of the bulbs.  In the models that I created it is Bitcoin that behaves like the virus, controlling this aspect of the flower: the generated tulip petals have more of a stripe as the price of Bitcoin goes up and a single colour as it falls. But the disease was only discovered in the 1920s and before then there was no clear understanding of how the stripes occurred. Human attempts to recreate its effects during the mania seem comical today - painting the ground with stripes, splicing two different bulbs together - but they were driven by a desire to create wealth without understanding the mechanics of what was creating value.  This knowledge gap was also evident in the first blockchain boom when huge amounts of money were thrown into the system, often by non-expert investors who wanted to make money quickly. 

The value of each object (real and abstracted) relies on its scarcity.  Both bitcoin and tulip bulbs are bounded and have an element of finiteness and destruction inherent in the way that they work. The mosaic virus strain hurts the bulb. Plants that have been infected are weaker, and their offspring weaker still, until it cannot produce any more. This ensured that there would only ever be a certain number of tulips that would have the ‘stripe’ trait at the same time.  Similarly, there are only a finite amount of bitcoins that can ever be in existence - 21 million, of which around 18.5 million have already been mined - in theory making it more attractive as an investment than fiat currencies, which increases its value and drives its hype cycles and speculation. 

This hype is also embedded in the material that the pieces are made from: machine learning. Interest (and money) in artificial intelligence has risen and fallen, ever since it became an academic field.  We are currently in the middle of an AI ‘summer’, where billions of dollars are being spent on it because of the commercial opportunities it could potentially bring, but this could soon change into a ‘winter’ when interest and funding dry up.  The motion of the ‘boom and bust’ of the markets  is also evident in the way that GANs work; As the model strives towards perfect encapsulation of the tulip, its collapse mirrors the ups and downs of speculative bubblesWhen they are training, they sometimes have a tendency to seem like they are improving - the learning rates will go up and up - and then suffer “mode collapse”, where the rate plummets so as a material, it is echoing its subject matter.   

This echo can also be found in how the GAN constructs the image of a tulip. There is an obvious visual reference in the pieces to the Dutch still lifes at the time of the mania, also known as ‘vanitas’ paintings, which were meant to emphasise how fleeting worldly like treasure and beauty are. These floral paintings show imagined bouquets: it would be impossible for some of the bouquets that are found in the  still-lifes to exist in reality as the flowers shown bloom at different times of the year. They would have been constructed from the artist's knowledge of the world. Similarly, the GAN I have made is constructing an image not of a real tulip, but what it thinks a tulip should be, based on all of the tulips that are contained in the dataset. Neither are replicating an exact flower, but rather forming a concept of a flower, and recording it as such. 

In the installations of Mosaic Virus 2018 and Mosaic Virus 2019, the tulips mutate and morph controlled by the unseen financial markets - their colors change along with their shapes, positions and sizes. However if the viewer tries to measure and inspect the stripes on the petals, it becomes evident that this metric is illegible. The first known line chart was created in 1786; the first stock market line chart published in 1933. Before then the display of economic information did not have the same visual narrative that we are now used to, the story was not as fixed. These pieces gesture at other ways of understanding information and perhaps emphasises the strangeness of trying to put an economic value on nature. 

It has been exhibited at AI: More than Human, Barbican Centre, London, UK (May 16 - August 26, 2019); City of Participatory Visions, ZKM, Karlsruhe, Germany (August 8 - September 15, 2019); Mutations Créations: Neurones, intelligences simulées, Centre Pompidou, Paris, France (February 26 - April 20, 2020); Peer to Peer, Shanghai Centre of Photography, Shanghai, China (December 8 - February 9, 2020). It has bee featured in Financial Times, ‘How to Spend It: Artificial intelligence: the art world’s weird and wonderful new medium’ (March 21, 2019); Google Arts & Culture, ‘Anna Ridler: can datasets create art’ exhibition (2019); Bloomberg, ‘A British Artist Gathered 10,000 Tulips to Show AI Is Beautiful’ (August 13, 2019); It’s Nice That, ‘Anna Ridler uses AI to turn 10,000 tulips into a video controlled by bitcoin’ (June 28, 2019); Hyperallergic, “Using AI to Produce “Impossible” Tulips’ (March 1, 2019). 

Funded by the EMAP/EMARE programme (part of Creative Europe) and commissioned by Impakt. This project received an honorary mention in the 2019 Ars Electronica Golden Nica Awards. 

Part of the ‘recording nature’ research, tracing the lineage of natural history through the use of technology.