This collection reveals AI's current autonomous creative coding capabilities, unhindered by human artistic input, and culminates into a series of generative artworks coded in p5js. Each piece emerges from an iterative process where the AI was challenged to not only conceive and code but also debug and refine its unique artistic concepts, all while bound by its maximum single-response output limit. Flaws are intentionally retained within the artworks, embodying these nascent AI models' raw and unpolished creativity. Serving as a historical milestone, this collection captures the AI's creative coding capabilities as it stood in the second quarter of 2023. Full creation details here: https://basiic.art/computer-science-death-of-2023-8902e02653a8

Computer Science (Death of) by BASIIC

Computer Science (Death of), is composed of 100 unique generative artworks. The collection showcases the autonomous creative abilities of AI, free from human creative influence, culminating in a series of generative art pieces coded in p5js. The art was born from an elaborate iterative process, where AI was tasked to conceive, code, debug, and refine its own artistic concepts, constrained only by its maximum single response output.Imperfections in the artworks are intentionally preserved, symbolizing the raw and unrefined creativity of these early AI models. This collection serves as a historical snapshot capturing the frontier of AI's creative coding potential in 2023.

Computer Science #019

Computer Science #020

Computer Science (Death of), is composed of 100 unique generative artworks. The collection showcases the autonomous creative abilities of AI, free from human creative influence, culminating in a series of generative art pieces coded in p5js. The art was born from an elaborate iterative process, where AI was tasked to conceive, code, debug, and refine its own artistic concepts, constrained only by its maximum single response output.Imperfections in the artworks are intentionally preserved, symbolizing the raw and unrefined creativity of these early AI models. This collection serves as a historical snapshot capturing the frontier of AI"s creative coding potential in 2023.