Thank you!

For MarkovJunior, the recent projects that were impactful the most were Imagegram by Guilherme S. Tows [1] and Daniel Ritchie's dissertation [2] about PPLs for procgen. I took quite a different approach from Ritchie's though.

[1] https://zaratustra.itch.io/imagegram

[2] https://dritchie.github.io/pdf/thesis.pdf

That thesis is really fun, but it will take me a couple weeks to digest. Before it even starts I see Pat Hanrahan, who is one of the nicest most creative people I have met in CS (), I know this going to be good.

A fantasy of mine is to have a bag of arbitrary constraints and behaviors of agents that exercise the system. One could sketch a building, model the behavior of people that will use it and let the system run, doing backwards and forwards inference to evolve a structure that makes those agents satisfied across lots of criteria. The designer if they are still called that, can select designs they like and the system can use that as a seed or test oracle. Virtual cows, cow paths and evolvable structures wrt those cow paths.

What do you think of "Growing Neural Cellular Automata" [1]

Are you by chance following CadQuery? [2]

[1] https://distill.pub/2020/growing-ca/

[2] https://github.com/CadQuery/cadquery