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> Especially if you go beyond Type-I cassettes

Yea, I use Type II cassettes to record on my Tascam 246. I did an experiment where I recorded a track I made digitally to tape and then back into the DAW. I A/B'd them and struggled to differentiate. That being said, I have used some really poor quality Type II tapes, where the difference was obvious.


There is a conceptual difference between a blob of text drafted by a person and a dynamically generated blob of text initiated by a human, generated through multiple LLM calls that pull in information from targeted resources. Perhaps "dynamically generated prompts" is more fitting than "context", but nevertheless, there is a difference to be teased out, whatever the jargon we decide to use.


I wonder if you can use an existing svg as a starting point. I would love to use the sketch approach and generate frame-by-frame animations to plot with my pen plotter.


This is somewhat validating to read as someone who started semi recently.


Also, the teensy audio library is great!

https://www.pjrc.com/teensy/td_libs_Audio.html


it's their unused treadmill in the living room they bought back in November


Get a degree in STEM, they said. Don't want to end up flipping burgers, they said.


You aren't flipping burgers -- you're steaming burritos.

In that sense, your degree was successful, no burgers in sight.


Additionally, I would say more historical emphasis within STEM itself would be beneficial. Motivate through context. Show students that the concepts arose from people solving problems.


Similar camp. Two reasons I enjoy Python, both related to documentation:

1. docstrings

2. keyword arguments

Docstrings mean I can do REPL experiments without the additional friction of opening a browser to RTFM. Keyword arguments reduce how much I have to lookup the semantics of a function's signature.


> counterdiscombobulating

what a discombobulating way to say "clarifying" :)


I'm trying to summon a return to 19th century magazine per-word rates.


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