







Wendy Hui Kyong Chun; On Software, or the Persistence of Visual Knowledge. Grey Room 2005; (18): 26–51. doi: https://doi.org/10.1162/1526381043320741
Prof. Judy Fan: Cognitive Tools for Making the Invisible Visible
Prof. Judy Fan: Cognitive Tools for Making the Invisible Visible

Viewpoint demo — Scott Kim's PhD project, Stanford University 1988
Something Pretty Right: A History of Visual Basic | Retool
How Visual Basic became the world’s most dominant programming environment, its sudden fall from grace, and why its influence is still shaping the future of software development.

Reticulum Network
For the better part of a generation, we have been taught to visualize the digital world through the lens of hierarchy. The mental maps we carry are dominated by a single, misleading image: The Cloud.
Revisiting creative behaviour as an epistemic process: lessons from 12 computational artists and designers | Proceedings of the 35th Australian Computer-Human Interaction Conference
As part of the Digital Library's transition to Open Access, new features for researchers are available in the Premium Edition. Click here to learn more.

Permacomputing | viznut
This is a collection of random thoughts regarding the application of permacultural ideas to the computer world.
atmopins - Share and Discover Visual Content
A decentralized visual discovery platform built on the AT Protocol.
atmopins - Share and Discover Visual Content
A decentralized visual discovery platform built on the AT Protocol.

Information is Beautiful
Distilling the world's data, information & knowledge into beautiful infographics & visualizations

Visualize Value — Ideas, made visible
An ongoing practice of turning ideas into images. Visual ideas about work, markets, technology, culture, and human behavior by Jack Butcher.


Ever thought we acquire generalizable knowledge by discarding details and compressing our experiences? In a new BBS paper, @sabinasloman.bsky.social and I argue otherwise, proposing a novel way of studying human learning inspired by double descent in ML. Disagree? Propose a commentary by May 15 :)