Superintelligence
Enhance Your Learning by Calculating The Learning Compression Score
A (futuristic) method of assessing a source’s learning efficiency
Learning compression score = Quality / Size reduction
Calculating Learning Compression Score
This method, which I will call “Learning compression score”, is a (futuristic) method that I can imagine will accelerate learning.
Essentially, this “score” says how efficiently you learn things from a particular source in terms of time e.g. two similar articles may talk about the same idea, but one of them explains it in half the time required to read it.
So how can we “calculate” the compression score of a source? Let’s say you are aware of a book containing 70,000 words but, instead, there’s an article summarizing the book in only 1,000 words. In other words, the source has been compressed by ~99%. This, however, is just a component for calculating the learning compression score.
In order to calculate the compression score, we have to “calculate” how much (subjective) “quality” we have retained from the original source. Often, the quality goes down when summarizing sources, but in rare…
