Another day, another custom wedding ring. This time in yellow gold with a lab-grown sapphire (this is just a rendering) #jewelry#generativedesign#3dprinting
To achieve a better sample size, I'd highly appreciate if you could circulate the link to this survey in your own networks.
It's already been almost 9 years since the last user survey for these projects. Please help me/us to get more insights into your own experiences, your interests, hopes and pain points — allowing the projects and everyone involved to move forward more intentionally.
There're 15 questions here, with ~10 of them marked as mandatory. The main focal points are the matrices in the middle of the survey. Please also do use the final freeform comments box to share any further feedback you might have. Thank you very much for your interest, trust & taking the time to provide some much needed answers! 🙏
The survey is anonymous and will remain open until 23:59 (CET) on February 29, 2024. I will then share a public summary of the results on my Mastodon in the days following (do keep an eye on the #ThingUmbrella hashtag)...
Nothing new, but maybe a little unusual: Using boids as alternative to Lloyd relaxation and/or Poisson-disk sampling. The boids here are using only two behaviors: local separation, plus a randomized attractor to create global disturbances. Cell density could also be varied by spatially adjusting the separation distance between boids. Overall convergence/relaxation can be much faster than shown here...
Just stumbled upon one of the first (of maaany) early design concepts I did in early 2007 for Faber Finds (which was [maybe still is?] Faber & Faber's imprint of digital on-demand book reprints). The project brief & mission was to create a unique full book jacket (incl. cover/spine/back) for every title and every single book printed. The final design direction we ended up with was very different (frames of flourishes), but this particular design system was based on a Braitenberg vehicle sim with its params seeded by a book's ISBN (plus some additional randomized params)...
Already gave a glimpse of this yesterday[1]. This example uses the new StackedLayout generator to create random multi-column base layouts and allocate cells of varying sizes (column/row spans). Depending on size, each cell also has a probability to produce nested child layouts in its place (up to 4 levels). The example also shows how the layout gen can be queried to determine & allocate any remaining empty space(s) at the bottom of each nesting level (since it's highly likely that there's such)... The result is a completely space-filling grid layout (which the new thi.ng website will likely be based on too, obviously with some of the more sane/usable/responsive configurations...)