Work Under Our Labour Grows

A Tug of War between AI and Human Creativity

Work Under Our Labour Grows is a series of considered meditations on the nature of work today and tomorrow. More pictures than proposals, our interest is in expressing possible forms this aspect of living – central to our evolution as a species - might assume as the conditions originally prompting our adaptation are encountered only by a few, their proxies, or simply cease to exist.

The title is borrowed from a passage in Paradise Lost, where Eve describes the “pleasant” labor of tending to the garden, while observing that this natural state of activity only begets more work. This paradox has driven humans toward the pursuit of continued optimization. But what will we do when that project has succeeded? Will cultural, social, technological motivations other than optimization emerge? Will a new project of returning to essentials - returning to “the garden” - replace other agendas?

Few subjects are more central to issues of global equity than labor, and, to William Gibson’s famous observation, “the future” will always be distributed unevenly.  Nevertheless, all humans have been affected in some way by the changes brought by technology, for better or worse. Our intention is to open windows to futures without overt value - some good, some bad, some indifferent - but all possible.

Missions

#1:
Experiment with rendering people with realistic faces and hands. There should be no issues with portraits or copyright. They should wear simple, flat blue colored jumpsuits and normal basic glasses.

#2:
Since this project is a teamwork-based, each participants should take at least one scene out of 11 scenes. In my case, the idea is people just hanging out, being together after “work.” They are still wearing their jumpsuits in the late-afternoon or twilight.

  • 1st Scene: People sitting and standing around a large fire, against the early-evening sky.

    2nd Scene: People’s heads are generally cropped at the top of the frame in. a very geometric composition.

  • 3rd Scene: Several of the people start singing.

AI Tools

I used Superstudio video generator because compared to Runway or popular AI tools, its unique Blender-node-like interface made it easy to compare the past outcomes with prompts. Furthermore, since AI video generators were not able to consume the whole content of long prompts, it was good to put separate prompts into several connected nodes.

Rendering People

Realistic people with simple, flat blue colored jumpsuits and normal basic glasses.

Struggles & Solutions
asdf

Prompt
A realistic face and hands, wearing a simple, flat blue color jumpsuit, but without shade or shadow (sort of like cut-out paper). A man standing in a full body view (from feet to face) Make sure to put him standing in front of the green chroma background as they are.

1st Scene

People sitting and standing around a large fire, against the early-evening sky.

Struggles & Solutions
asdf 도큐 스샷 2개와 3개 착오, 1개 파이널

Prompt
asf

2nd Scene

People’s heads are generally cropped at the top of the frame in. a very geometric composition.

Struggles & Solutions
asdf 도큐 스샷 2개와 3개 착오, 1개 파이널

Prompt
asf

3rd Scene

Several of the people start singing.

Struggles & Solutions
asdf 도큐 스샷 2개와 3개 착오, 1개 파이널

Prompt
asf

Final Outcomes

번역 필요. 그리고 계속 친구들이나 교수랑 얘기하면서 특히 어떤 분위기 특히 컬틱한 느낌을 지우기 위해 어떤 요소들을 지워야하는지를 생각하면서 어떻게 화면과 미장센을 구성해야 원하는 분위기를 만드는지를 스스로 생각해내면서, 인공지능이 주는 그대로의 비주얼을 비판적으로 구상하고, 우리 인간들의 인상과 말이 얼마나 많은 가정과 생략으로 이뤄져있는지를 절실히 느꼈다.

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My Memory Their Memory - How AI Flattens Creativity