The second idea was inspired by a podcast that focused on the development of compression algorithms for MP3s, with a section explaining why Suzanne Vega is called the mother of MP3s and why the song Tom’s diner is seen as a measure of the success of compression algorithms.
As an example, one can understand the compression algorithm in this way. For example, a heavy book, to store it, he may need to take up a lot of space, but the compression algorithm can extract the punctuation marks, the Spanish alphabet, the Chinese alphabet from it separately, and each text may also be arranged in order, so that the volume needed to be stored is greatly reduced in a sorted way.
While the storage and distribution of songs has become easier with the advent of technology, the question of how to store better quality sound sources has also become an issue to be considered.
After all, a song is more than just a piece of sound; a great song can resonate with people and give them a feeling or story of their own, thus making an unforgettable memory.
This is the future possibility of compression algorithms, where human memories are not just stored in the brain, but are uploaded and saved through compression algorithms. But algorithms can only store information and compress it, but they cannot determine whether this information is important or not.
It’s as if people are judging the success of a compression algorithm based on whether or not they think the compressed song still sounds good, which, in the end, still relies on subjective judgement. Even with the rapid development of technology in the future, people’s subjective thinking will still be the criterion for determining the direction of things, which can be seen as a loophole in the Cyber world.