Yes. Given the scope of your projects, it may not make sense. 👍

Because it's indicative of...X. What is X for you?

Beyond that, I don't see much more without experiencing it. I wished it mapped musical space onto 3D space, so we can leveraged our visual cortex for musical reasoning.

Expanding on that, you could construct a 3D Hilbert Curve as a musical constraint, and make it sound good, when multiple parts of it double back on itself. But I expect that to sound too regular for people to listen to. Maybe someone talented at composition could make it work.

I can see how you can construct a snake timeline that double back on itself to reuse previous beats and notes. So then you can construct canons that are reversed versions of the previous N measures. So that can be a fun Bach-like puzzle that composers can embark on.

Maybe it has a "Theremin mode", where the minute hand positions and movements helps you explore tonality and timbre. You can find the "in-between" spaces of a typical scale as delivered by current instruments.

How does that help you explore the musical space of possibilities more than what a 2D representation of a drum machine can give? How does it leverage our visual cortex to reason about the musical space?

At first I couldn't see it. But then forcing myself to steel man:

You know he's got a strong brand when this happens. Someone needs to produce a NumberBlocks for Category Theory.

I'm sure there's all sorts of nuance and deepness that I still don't know, but it's sort of neat, with bits and pieces all falling into place.

It also hammers home a common trick: if there's a hard problem where we don't have tools, let's map it to a domain where we do!

Also, I now recognized this diagram as an instance of the ones you see in Category Theory. So I asked GPT, if the Laplace Transform is a functor between two categories.

Almost. According to GPT, it's an almost-functor (a functor up to natural transformation).

James Bond can be the Dread Pirate Roberts.

Oh, it took me a while to parse what the screenshot was doing, but I guess it'd be useful in a ML-lang--since stuff is functions, and you often want to know what's being passed inbetween.

At first glance, also not sure if colors help inline. What surprised you so far about having the traces?

This something else is near-term customer need that fits within the constraints of unit economics. Most innovator builders never address this because they don't care about it. Hence, early majority builders make up their own solutions. Then when it's adopted, innovator builders lament.