spent time thinking through what i want from rc.
in the first two days, i can tell that it’s one of those places where it is easy to get lost in the abundance that exists. like itp, you can learn & make whatever you want; which often presents the hardest question — what do you want?
i spent time thinking through how to get the best out of r.c. my time is divided into the following:
- study:
- nand2tetris — to understand how a computer works & how to make one.
- practical deep learning course — to understand how to apply deep-learning & machine learning. anirudh also recommended the hundred-page machine learning book as a good starting point.
- practice:
- daily / weekly sketches: small p5.js sketches to algorithmically-draw & find joy in that again.
- audio-programming: small beats / sonic-explorations; ultimately leading to one composition that i can play at a livecoding meetup.
- sustained enquiries:
- abstract-expressionist-painting-algorithms: break down abstract-expressionist painters by watching media / interpreting processes into algorithms, and use shaders to recreate emergent outcomes.
- maybes:
- drawings on a cartesian plane: restart this line of enquiry.
- emergent-system: restart this line of enquiry, and produce a finished video-piece (like process compendium, by casey reas).