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NORM at My Monkey Gallery (Nancy, France)

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NORM is not an art collective easily fit into words.  Go look for yourself.

As part of the Automatic Type Design 3 conference at Atelier national de recherche typographique / École nationale supérieure d’art et de design de Nancy, NORM presented a show at My Monkey Gallery.

Part of the fun of attending was talking about the gridfont like machine that made shapes just a few years after Letter Spirit (which is what brought me to town). We had an excellent set of conversations about the work.

We had fun screwing around.

And we got a NORM poster signed. The poster is a listing of the top 30 or so words found in English. The observer (or reader) supplies all of the meaning. The poster is assembled by algorithm. The work says something very deep about semantics, syntax, and current approaches to AI/ML.

Thesis from the Crypt: Revisiting Letter Spirit Thirty Years Later

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(crossposted to BIML)

I was honored to be asked to present a talk on my thesis work in Nancy at the Automatic Type Design 3 conference. Though I certainly loved working on Letter Spirit, my thesis with Doug Hofstadter at Indiana University, in the years since I have been helping to establish the field of software security and working to make machine learning security a reality. So when I was asked to speak at a leading typography and design conference organized by Atelier national de recherche typographique / École nationale supérieure d’art et de design de Nancy, it came as a delightful surprise and an honor.


Scott Kim shows an illustration of the gridfont microdomain.

Here is the abstract I ginned up:

ML/AI, Typographic Design, and the Four “I”s

During this talk I will touch on Intuition, Insight, and Inspiration. First I will set the context by introducing the Letter Spirit project and its microdomain — work I published exactly 30 years ago as a Ph.D. student of Doug Hofstadter’s. I will spend some time discussing the role of roles (and other mental structures) in creativity and human perception. Then I’ll take a quick run through the current state of “AI” (really ML) so we get a feeling of how LLMs actually work. We will talk about WHAT MACHINES and relate them to human cognition. Finally, just as I get around to intuition, insight, and inspiration, I will run out of time.

As you may already know, intuition, insight, and inspiration are all deeply human things missing from current AI/ML models. Thirty years ago, we were trying to move toward a theory of design and creativity steeped in a cognitive model of concepts that would exhibit all three. Needless to say, there is plenty of work to be done even thirty years later. The good news is that human designers have nothing to fear. Yet, anyway.