Dominikus

@do.minik.us

generative artist and prof, data visualization developer, identity-challenged dataviz: https://do.minik.us art: https://dominikus.art

That AI models usually produce something better when asking them to "work extra hard on this" really sends the wrong message to middle management.

I had the immense honour of being invited to work on the World Bank's Atlas of Global Development 2026 project last year and today it finally launched. I couldn't be more excited, it has been a career highlight to work with such an amazing team on this.

Atlas of Global Development

The Atlas of Global Development presents interactive storytelling and data visualizations on key global trends related to people, prosperity, our planet, infrastructure, and digital transformations.

data360.worldbank.org

Last chance! April 30th is the deadline (yes, only two weeks from today!) for submitting a paper to the @visualisingclimate.com summit. 📊 🇮🇹 Note: Uploading the FULL paper is required by that date! Same submission deadline, April 30th, for a ‘talk only’ (without a paper) 👉 visualisingclimate.com 👈

Visualising Climate 2026 — Conference

The first global conference dedicated to how data visualisation can transform public understanding of climate change and support informed decision-making.

visualisingclimate.com

I've been working on a new shader language called "easl". The goal is to bring the conveniences you'd expect from a high-level language to the GPU. It's still got some rough edges, but if you're into shaders or creative coding you should check it out! More info in the thread 👇

So many of us are now textual Case Pollards, physically averse to pre-digested, mass extruded machine verbiage just as William Gibson's Pattern Recognition protagonist was made physically sick by fashion and brands.

Shannon Vallor@shannonvallor.bsky.social · 4mo ago

Just quit reading a CNN article that was so obviously ChatGPT written that I started to get queasy. Chatbot writing is now for me experienced as having a literal flavour - saccharine with a bitter hint of aluminum

Generative AI systems are Dunning-Kruger machines, competency simulators that give the illusion of being able to do something _precisely_ because their users are NOT able to do it (and thus their internal evaluation of the results fails).

I made a tiny tool for quickly sharing small datasets (< ~1000 rows) without uploading any data to a server. 🔗 ziptbl.com It compresses the data into the link itself, so there’s no account, hosting, or storage layer involved. Here's Florence Nightingale's famous 📊 data: ziptbl.com#d=eNpdlE-LGz...

higher ed will collapse as soon as the first "improve your grades by threatening your profs with a barrage of AI-generated emails" startup gains traction.