Location: California (CA).
Remote: yes or no.
Willing to relocate: yes.
Technologies: Fullstack, Node.js, JavaScript, Typescript, Python, Agents, Algorithms, Machine Learning, Maths, * .
Resume: see latest work at https://folkstack.com, user/payment system, AI prompting, and redesign built in a part-time week; https://github.com/folkstack
email: hn0326@folkstack.com
Extempore was almost my jam when I got started with code-music in 2014, but javascript was just good enough, and the web audio API soon had a script processor, so I started building my own stack in the browser and never looked back.
But I was impressed, and envied the processing power. However, digital musical interfaces are really what inspired me to code music in the first place, the idea of building them (which I do now).
I actually installed and tried extempore, and that almost got me into emacs, b/c the author had integrated it. Smdh. Luckily, I abandoned both, and have used vim ever since. I had looked at all the weird code music editor systems, deemed extempore the best, but ultimately I had to go raw and work my way up.
PhDs are over-valued/hyped for ML, especially as it is currently the practice of brute forcing undergraduate maths via CS fundamentals.
ML is a creative field of algorithm composition, and the hardest part is the actual programming. These are not the typical skills of a PhD student.
The current pace, and variegate provenance, of ML research suggests that a PhD student is going to be, at best, a scholar of the web wasting too much time on academics.
At least one of two things will happen in ML: there will be a singular advance in theory that opens up a world of practical applications (like QM), xnor the field of ML will be open to endless synthesis (like programming and music).
All that said, no doubt a PhD will pay for itself...
Time is a path “through” space. In other words, change over space IS TIME. That is why they found “timekeeping” in the space brain. In a sense, they didn’t discover anything. They reaffirmed that time is an aspect of space (or of any n-manifold).
