4 bits per square has room in it for RLE flags and even counts, without increasing the worst case size.
1,989 karma · joined November 29, 2017
https://norilo.me (portfolio) https://kronoslang.io (compiler/language project)
4 bits per square has room in it for RLE flags and even counts, without increasing the worst case size.
https://en.m.wikipedia.org/wiki/Hylomorphism_(computer_scien...
I think it's a play to force f2p games to use their ad mediator as the install fee will effectively raise the cost-per-install for anyone using competing ad networks.
Vampire squids doing vampire squid things. I'd expect them to get sued, and at least in the EU it seems likely to be difficult to defend.
Open source music! Great for learning.
My ChatGPT experience is not that different from the "good old days" of searching the internet. This time the search is in latent space which has up- and downsides.
I had an ear training teacher who would play a bunch of random atonal notes on the piano between exercises to "reset" our ears. Only works for relative ears.
Similarly I (relative pitch) retain the key of a piece I practice. But if someone plays a random sequence of pitches it pretty easily makes me lose my anchor or at least make it lose focus by a semitone or three.
Whereas the "real" perfect pitch people are always anchored, no matter how much noise anyone throws at them. Which is also a source of discomfort and difficulty, for example when they need to transpose or work with a different A4 than their "internal" learned one. Where us relative normies would just shrug and accept the new A4.
For synthetic tones, I will be off +/- 3 semitones because I will be using an aural memory of the cello a string as a reference, rather than recognizing the frequency like the perfect pitch folks do.
Never occurred to me to practice perfect pitch because, as you said, it is not that useful.
But intonation is equally easy/hard for absolute and relative ears. Some tasks, like transposition, can require more practice for people with perfect pitch.
Source: lived experience from my doctorate in music from Sibelius Academy, Helsinki.
Piston has this book that's more approachable: https://www.goodreads.com/book/show/445366.Counterpoint
But ultimately, learning counterpoint is 10% reading and 90% writing.
edit: looks like at least one other has has the same idea https://github.com/lthibault/treap
The data must be encoded with various levels of feature abstraction for this stuff to work at all. Much like humans learning art, if devoid of the input that makes human art interesting (life experience).
I think a more promising avenue for litigating AI plagiarism is to identify that the model understands some narrow slice of the solution space that contains copyrighted works, but is much weaker when you try to deviate from it. Then you could argue that the model has probably used that distinct work rather than learned a style or a category.
Weight gain and bad sleep followed. Nowadays I make a game-like goal of "be hungry at lunch time". To do that I need to stop getting calories at ~6PM. I'll have just black coffee and water when waking up and lunch at 11AM.
I sleep much better, dental health and blood pressure have improved, weight is slowly going down. In addition I crave for stuff like broccoli, mushrooms and protein at the early lunch time - unlike the fries and pizza I desired before when eating a super late lunch at 4PM or so.
Later learned my current strategy is called intermittent fasting. Works great for me.
There are lots of rooms equipped with computer, notation software and keyboard in music institutions, where webmidi seems like a great way to develop some quickie music theory/education apps.
The web is not anywhere near parity for music and audio production yet, but its proponents see webmidi as one necessary step to that direction.
(I would personally not use current webaudio/webmidi software, but have successfully deployed a lot of it for education!)
https://kronoslang.io/veneer/tour
(music DSP patcher with a WASM JIT in browser)
It is how I often provide APIs that need to work across (many) compiler boundaries. It is not standardized or anything, but de facto reliable on Windows.
I do totally get how some people learn just enough to be annoying. Generally I still think that's not a good reason to gatekeep them.
One example is the Pythagorean system where the interval of fifth is set as a frequency ratio of 3/2. This system yields clearly distinct frequencies for D# and Eb.
In 12 tone equal temperament, a semitone is set as a frequency ratio of 2^(1/12). In this system you get the same frequency.
You can also derive frequencies from simple fractions of the scale root. In this instance you would generally obtain D# and Eb from unrelated roots.
"Pidän koiran" - I will keep the dog (for good).
"Pitää" is one of these ancient words that means many things, but primarily: to hold, and Finns apparently think that to like something is to hold that which comes out of it!
You would still say that the man is in the pharmacy (mies on apteekissa) but the stuff he found is from it (lääkkeet apteekista).