Converting a vector into another vector and experimenting with what is possible

This product/project takes mainly the mini vec2vec paper from autumn 2025 and replicates the results to figure out if these results can be moved into production and produce results that can be used by firms. It also explores image-to-image transformations and what else there is to experiment in that realm.
This project started as a fascination for the space and what is possible in the space, it is a mixture of learning the space of vectors, creating visualizations of various vector spaces and exploring what is possible. Plus the idea to create simulations and productionalizations of AI papers and what implications they have in the real world.
Better understanding the implications of the ability to create vec2vec adapters by purely linear transformations and what these implications are for cybersecurity, embedding spaces, and the overall landscape of AI/ML in that field of translations and exchanges between and among vectors.
Researchers, innovators, inventors, ML/AI practitioners, curious cats.
