1,090 karma · joined December 10, 2019
> Let’s begin by describing the issue with standard equal tempered frets; standard fret spacing is calculated from one single piece of information about the guitar, the scale length. This principle ignores that the frequency of a vibrating string is calculated by three factors: the mass of the string, the tension applied and the speaking length. All three of these factors are affected to different degrees each time a string is pressed down on a fret. The only way to correctly compensate for all three of these parameters is to adjust each string-to-fret connection point independently, until each note plays the correct frequency. This issue, which is impossible to solve with standard tempered frets, is what True Temperament solves.
So the true temperament system is compensating for the fact that a thicker string behaves differently when fretted than a thinner string. It still provides a 12 TET system however.
What you are probably thinking of, is a _just intonation_ fretboard, which exists and looks very different: https://projectionsliberantes.ca/en/guitars-tuning-system/
You can see that rather than squiggles, different strings have frets in completely different places.
Well - if "we" refers to the original selfish gene (à la Dawkins), then yes - modern capitalism has manifested as an emergent property of the core evolutionary principle. I suppose you could say that about virtually anything however...
If you ever find something that works for you, please reply here @tombert, I'll do the same :)
This therapy could take something like 1-2 hours and could potentially be a drastically more efficient way to administer drugs, because they will primarily affect the target organ/region rather than be necessarily dispersed throughout the whole body, which would result in better intervention outcomes, and less side-effects.
Of course, there are many many other kinds of development - when developing novel low-level systems for complicated requirements, you're going to get much poorer results from an LLM, because the project won't as neatly fit in to one of the "templates" that it has memorized, and the LLM's reasoning capabilities are not yet sophisticated enough to handle arbitrary novelty.
In this situation very often there won't be _any_ answer, plenty of difficult questions go unanswered on the internet. Yet the model probably does not interpret this scenario as such