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Interesting. I have aphantasia, visual snow, and at least audio-tactile / sound-color / space-concept synesthesia. I often see a grid of dense, contextually sensitive symbolics overlaid onto backgrounds. For example, I see math-like things on white walls, charts & graphs when I look at gray ones, and kanji-like strokes when I watch anime (I studied Japanese years ago).

As a researcher in AGI, it makes me wonder if synesthesia is just a mixture of any senses that happen to develop particularly strong associations rather than a separate pathway. My synesthesia certainly has been getting stronger the more I learn.


Precisely. It is critically important to develop the correct cognitive abstractions.


I think that the audio space hasn't evolved because there isn't a lot of money in it and it's a bad environment for learning proper technique. The cross section of expertise is quite rare: music theory, instrumentalism, signal processing, software engineering, performance optimization, architecture design, research tooling, musical perspective, user interface, sound design, etc. The fact that things haven't effectively changed in decades means that the cost of changing is so large that something has to be radically better to convince people to alter their process. People generally are not capable of seeing what is possible outside of their scope of familiarity.


I’ve been working on a next gen DAW for a few years and this article misses all of my priorities. AI will encourage mindless replication; instead modern tooling should be analytical, precise, deliberate, flexible, and have layered complexity.

My priorities are more in line with turning music production into an integrated and interactive development environment using modern design principles. Sub-modular capability, A/B testing, git integration, non-local collaboration, scientific visualization, notebook style experimentation, integrated synth build / play, web embedded optional interface, social sharing & tutorials, polyglot open source interface (primarily Rust), programmable behavior / macros, higher order signal dependency optimization, algorithmic mastering, targeted oversampling, creative process reusability, etc. You can solve the plugin issue by just synchronizing the output audio by the user that has it installed.

Quality music production is an opague art and everything is way more daunting than it needs to be. Most producers just mess around until it sounds good and that gets people stuck in a local maximum of clarity. If it takes too long to experiment then you won’t get through the effort of trial for understanding. I have spent 15 years building tools as a research quant dev and also a dj (Extrn). There is a huge unaddressed gap in the audio space and huge barriers to entry in accessibility and cognitive burden.


Spot on. It's telling that most DAW UIs are based on archaic ideas (like mixers/tracks and MIDI/step-sequencer grids). Even BuzzTracker (2009) outshines many of the current DAWs with DAG instrument/effects-chaining and arrow-key/cursor navigation.

My post-graduate research concerned signal-rather-than-event-based generation/transformation of compositional data, integrated with textural/timbral synthesis.

My current focus is building a DSP framework for this purpose in C++20 [1].

In any case I'm interested in following your progress, and happy to contribute code/ideas if you feel like collaborating (links in profile).

[1] https://github.com/synthetic-methods/xtal


Fascinating! Is there anywhere where we can follow development of this?


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