the second is very old original paper(1948) for Claude Shannon on information theory, when I blocked some time to read it, it was so jaw droppingly relevant for a really old paper he was going through basics of phone transmissions, and how he constructed bits and gigabytes, and why logarithmic structures matter , it's very dense and good kind of dense, if you're frustrated with the amount of bugs you have to deal with in software, the paper help highlight what have been persistent old problems manifesting in new languages and data structures, it is the kind of paper you would return to many times for reference.
OpenAI co-founder Greg brockman mentioning how he became an ML practitioner, it is surprisingly humble and has many references to other interesting sources https://blog.gregbrockman.com/how-i-became-a-machine-learnin...
the second is very old original paper(1948) for Claude Shannon on information theory, when I blocked some time to read it, it was so jaw droppingly relevant for a really old paper he was going through basics of phone transmissions, and how he constructed bits and gigabytes, and why logarithmic structures matter , it's very dense and good kind of dense, if you're frustrated with the amount of bugs you have to deal with in software, the paper help highlight what have been persistent old problems manifesting in new languages and data structures, it is the kind of paper you would return to many times for reference.
https://people.math.harvard.edu/~ctm/home/text/others/shanno...