[P] Modified Tsetlin Machine implementation performance on 7950X3D

Hey. I got some pretty impressive results for my pet-project that I've been working on for the past 1.5 years.

MNIST inference performance using one flat layer without convolution on Ryzen 7950X3D CPU: 46 millions predictions per second, throughput: 25 GB/s, accuracy: 98.05%. AGI achieved. ACI (Artificial Collective Intelligence), to be honest.

[Modified Tsetlin Machine on MNIST performance](https://preview.redd.it/vn131r80fk3c1.png?width=1892&format=png&auto=webp&s=85918abfe67cd4f3f4dd0178a00495bf38eb516c)

accuracy agi artificial collective convolution cpu hey implementation inference intelligence layer machine machinelearning mnist per performance pet predictions project