I've been at RC for about four weeks at this point, and I'm often thinking about how to frame the experience to someone. It's an educational retreat for programmers with little structure; there are no teachers, and everyone works on whatever they want to.
I've been developing an intuition for how much effort to put into any given task, for how long, and with what intensity. What I've found, perhaps obviously, is to do whatever you feel like, whenever you feel like, and to quit right when it gets boring. It's a rare privilege to be able to drop everything for three months and pursue whatever interests you. Systems like RC replace "should"-motivated learning with "want"-motivated learning.
So here's what I've been up to over the last few weeks.
I like music, I like computers! I like digital audio? It's a bit complicated.
Here's what I learned in the process!
- Time stops for no-one! Don't do IO-bound computation or work with nondeterministic running times on the audio thread
- Caught up on my rusty operating systems/systems programming skills, including: scheduling, threads, syscalls, drivers, ELF binaries, and runtimes
- Learned a lot about rust. There are a lot of folks at RC right now that are knowledgeable with rust, and many more that are learning.
Then I started getting into the FFT by way of Musimathics, a really excellent book on the mathematics of audio by Gareth Loy. It's super interesting, though I quickly realized that I'd need to brush up on some math before diving in (see imaginary numbers). In practice, if you want to make bleeps and bloops, most DSP is done for you by runtimes or lower-level libraries. What fundamentally interests me in digital audio is making weird noises. It turns out that learning DSP algorithms can be a circuitous path to that goal.
Aside from the mathematical overhead involved in going deeper into digital audio, I noticed that the programming problems in that space weren't super interesting to me.
So I pivoted to another area of focus - decentralized systems. I've been starting out by building my own blockchain. I'm less interested in the currency use case and more interested in getting a peer-to-peer network of computers to agree on a notion of truth without needing special mediating parties. And the problem of how to incentivize them to cooperate.
I'll be surveying decentralized tech beyond the bitcoin blockchain, including architectures like ethereum ipfs, dat, and scuttlebot. My primary interest is in how we can use decentralization to replace the personal-data-as-store-of-value model of the current social web.