A Demo Scene production released at the Evoke Demo Party in Cologne, shared 10th place in the PC Demo competition.
This is a digital art project that was worked on between early March and Late July of 2023.
It is meant to be partly satirical and partly a love letter to the people in the early days of the Demo Scene.
The overall theme, attitude, choice of effects, pacing, music, length of demo etc, is meant to reflect the feel of those early days; the angst felt by and naivity of the youth of this sub culture back then.
Still 93 was coded 100% by the free version of ChatGPT and there is not a single piece of code that has been coded by me or anyone else in the team.
This choice ties in to the theme with "early days", as we are only in the beginning of the AI revolution so I wanted my first ever demo to combine the old with the new.
What has been done by me regarding the code:
- Copy & Pasting code to reuse in other places
- Renaming variables, functions etc.
- Tweaking parameters
- Scroll text contents, greetings and so on...
Even though this has been a difficult and time consuming project, I can still not take credits for the programming as I could not tell from what sources ChatGPT has pulled code. I Want to send out a BIG thank you to all unknown people who through ChatGPT have contributed to this project!
There is also a hidden social commentary, but I will let you figure that part out by yourselves.
Graphics ... bOhEmE / Style, Hellbeard / Divine Stylers
Music ... sKOPE / Divine Stylers, Goto80 / Divine Stylers, Repe / Style
Art Direction ... bOhEmE / Style, dMG / Divine Stylers
Code ... ChatGPT v3.5 Free Research Preview (March-may Builds)
Prompt Lamer, Timings & Params, Concept & Idea ... dMG / Divine Stylers
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Windows 10/11 64bit (Linux build planned)
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OpenGL v4+
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2.5Ghz CPU recommended (you can skip a part that chokes your computer by pressing Enter)
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Not very much RAM... 200MB or less needed?
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Not tested with AMD gpu's so YMMV
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Resolution: 640x480
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FPS: 30
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NumPy v1.23.5
pip install numpy==1.23.5
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PyOpenGL
pip install PyOpenGL PyOpenGL_accelerate
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PyGame
pip install pygame
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noise
pip install noise
Still 93
Still 93 is released under the MIT licence as it is one of the most permissive ones. It should be compatible with the licenses by the required external libraries
PyOpenGL
PyOpenGL is distributed under the MIT License https://pyopengl.sourceforge.net/
PyGame
Pygame is distributed under the LGPL (Lesser General Public License) version 2.1 or later. https://www.pygame.org/
NumPy
NumPy is distributed under the BSD 3-Clause License https://numpy.org/
noise
The "noise" library is distributed under the MIT License https://github.com/caseman/noise
Until next time!