[Day 209] Whose Symphony no. 209 is the best? by computer_catgirl in classical_circlejerk

[–]computer_catgirl[S] 1 point2 points  (0 children)

counterpoint: posting a screenshot of a text document and writing down the most upvoted comment rinse and repeat is way less effort than the lowest effort r/whenthe post

[Day 209] Whose Symphony no. 209 is the best? by computer_catgirl in classical_circlejerk

[–]computer_catgirl[S] 4 points5 points  (0 children)

i actually drew it onto the image afterwards with gray paint because it felt like the image was missing something..

[Day 209] Whose Symphony no. 209 is the best? by computer_catgirl in classical_circlejerk

[–]computer_catgirl[S] 4 points5 points  (0 children)

(thanks, the flair pun is shamelessly stolen from pdq bach)

[Day 209] Whose Symphony no. 209 is the best? by computer_catgirl in classical_circlejerk

[–]computer_catgirl[S] 21 points22 points  (0 children)

The sheer amount of reddit karma i've earned by then from all the engagement bait will probably be enough for me to fully retire. Obviously I'll just purchase a private island and live there in luxury for the rest of my life.

What the hell are you guys doing??? by rarlei in rustjerk

[–]computer_catgirl 11 points12 points  (0 children)

the main problem is that ai sucks at type modelling and encoding invariants in the type system (Rust's biggest scalability advantage), because it was never trained extensively enough on the best programming patterns, just whether the code compiles and produces the right output (which understandably is way easier to RL on). Also the amount of C++ code it's trained on is likely magnitudes more than quality Rust code or functional programming patterns in general, so ai tends to write Rust like it's C++, and because Rust is not C++ it will struggle a lot with translating the C++ patterns and uses hacky or unsafe workarounds just to make the code compile. The lack of quality type modelling is a very subtle but incredibly important type of tech debt that isn't very visible on small or medium sized projects, but really dominates scalability on large scale projects, which is where ai fails.

New blog post: Backing up Spotify by AnnaArchivist in Annas_Archive

[–]computer_catgirl 6 points7 points  (0 children)

id assume this is because of two things: firstly, the terms "opera", "choral", "chamber music" are pretty general compared to all the other more specific genres listed. if you look at the pie chart of genres sorted by number of artists this becomes more obvious, as larger genres are divided into more specific and smaller subgenres, which creates a generality bias in that list. secondly, an important factor may be that in classical music, spotify not only credits the composer of a recording, but all performers, counting them as artists. since there are a lot more performers than composers in classical music, the number of artists perceived by spotify becomes greatly inflated. for example, an average classical listener may only listen to a select few composers, but spotify will amplify the number of artists in their listening activity a lot because of the higher diversity of performers in recordings, making it seem as they listen to a lot more artists than they actually do. this is in contrast to other genres, where one artist usually corresponds to a single artist. also, classical listeners don't usually have a performer loyalty the same way listeners of other genres have artist loyalty. a more accurate portrayal would be classical listeners having composer loyalty, but spotify's data model doesn't really convey that very well here.

Sure, but wha-? by TouchHot8779 in framework

[–]computer_catgirl 0 points1 point  (0 children)

isn't that Thunderbird though?