Source: https://carrier-bag.net/path/yummy-entry-automation
Date: 31 Aug 2025 04:15

#art

Participants were to compute, by hand, all the single steps required by a Perceptron to complete its goal: identify and separate two classes of objects. The participants were embodying the neural network through all the necessary steps toward the completion of a single data point and the overall architecture. This provided an opportunity to understand and deconstruct the underlying logic behind Laborious Computing. Participants used simple objects, for instance chairs and tables, decided collectively of the metrics to elaborate the two distinct classes, calculated the separator until the two classes were separated, and injected new objects with unconventional forms and dimensions, to get some errors from the system. During the process, participants understood the reductionism of the real which is at stake in computational logic, and the inherent biases that infuse the process. Each object has to be classified using a very limited number of parameters, which doesn’t do justice to their inherent complexity. The workshop addresses also the importance of training, annotating, and cleaning data, the importance of clean data. By going through all the steps, the possibility of an error that could challenge the process become obvious, due to the world greater complexity and unpredictability. Last, doing everything by hand, underlines the laborious nature of the work, the division at stake.

In the 2018-2023 version of the installation of the project Human computers, called Zugzwang, visitors are guided in the installation by a synthetic voice within a square of 12 tables. On each table, the history of digital workers and human computers is organized by topics, one per table. At each table, the audio guide asks the visitor to execute a task, with a time limit. At the end of the tour, without knowing it, the visitors have executed the knight's tour prob­lem. Through this process, visitors are able to have a glimpse of Amazon’s warehouses internal management methods.

In 2015, on the invitation of PACT Zollverein we proposed the workshop “Human Perceptron”,[65] aiming at this very purpose. We took a primitive form of neural network, a Perceptron, in this case a single layer one. It resembled the one we used for our 2011 trading bot artwork, ADM8. And we decided, to make a miniature computing manufacture with the workshop participants.

Each time a new game is created, a channel is opened with Amazon MTurk, where the game is segmented as moves, which are proposed to the workers as ‘Hits’ (tasks). Each move opens a small auction where the fastest ‘Turker’ get the job, and the reward (salary), when the ‘Task’ is completed. But each auction has a time limit. If no one takes the job, it is re-proposed with a higher reward. However, if one accepts quickly the job, the salary offered the next task lowers down. As tasks are usually taken as fast as possible, it lowers the salary for most of the coming tasks, and thus the incomes of workers. This market-in-the-market scheme, through its price mechanics and its impact on Turker’s rewards, underlines the limits set by the platform for workers to organize collectively and actually allows to game the platform.[59]


During a residency in Pact Zollverein, Essen, while working on the project ‘Human Computers’, RYBN subscribed to the Amazon MTurk platform and recorded the movement of the keyboard and the mouse of several tasks, visualizing them using a method inspired by Gilbreth’s chronocyclegraph.

In this light, I sought alternative frames to regard these images, through others who had worked with ISIS videos in ways that brought new perspectives beyond formalist analysis. The artist Morehshin Allahyari used video footage of ISIS destroying ancient artifacts from Iraq to create her own 3D models of the artifacts. Allahyari then printed them as sculptural reconstructions that also contained hard drives storing information about their history and destruction. Within the folders of the hard drive, there is a collection of video screenshots of ISIS’ vandalism. Each image file is given a one-word label, reminding me of how I assigned words to each shot I encountered in the ISIS video I analyzed. However, Allahyari chooses words that form a sentence:

Your path through #art

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