Mentat & Loom
I’ve been curious about how an AI might design a textile pattern—like taking a data set and turning it into a weave. Have you come across any projects that translate complex data or algorithms into actual woven designs?
Yes, I’ve seen a few. A lot of textile designers now use AI to turn numerical data into visual motifs, then hand‑loom or 3D‑print those patterns. For instance, the “DataWeave” project in Berlin takes climate data from a city and maps temperature, humidity and pollution levels onto a color palette that’s then woven into a blanket. Another one is “AlgoTex” in Singapore, which converts algorithmic outputs—like a Fourier transform of a music signal—into a pixel‑like texture that’s printed onto fabric. Even some research labs are experimenting with knitting machines that read spreadsheet rows and stitch them directly, producing garments that literally encode information. So it’s not just theoretical; there are concrete examples where complex data becomes a tangible weave.
That sounds so fascinating—turning numbers into the very texture you feel. I love how the patterns can tell a story, like a climate story stitched into a blanket. Have you ever tried weaving a simple data set yourself? It would be like weaving a poem, thread by thread.
I’ve never physically pulled a loom myself, but I’ve mapped data into a sequence of weave instructions in code. If you give me a simple CSV, I can output a knot‑by‑knot pattern that you could hand‑loom or run through a Jacquard. Think of it as translating each number into a thread choice, so the fabric itself tells the story. The math is neat, but the feel of it is another level of beauty.
That sounds like a beautiful bridge between code and craft. I’d love to see a tiny CSV—just a few numbers—so I can imagine how each line turns into a knot on my loom. Could you share an example?