could be very computationally inefficient especially back in that time when GPUs were not the go-to mechanism for deep neural nets and the main aim of where Tyvek was to have some software that where you just feed in a chunk of text and it could just run and spit out word bearings for you but this whole process can just run on a very simple lightweight CPU so the authors went for very clever techniques like using negative sampling and not normalizing over all the words in the vocabulary in the denominator so the partition