This work is another classic in the "neural nets meet spreadsheets" genre [0]. Really helps visualize what is going on in (at least some) latent spaces.
While I created spreadsheet-are-all-you-need.ai as teaching tool, as I've been playing with it I've been having a growing suspicion the spreadsheet interface for AI might be useful beyond teaching, either as a power user control interface or for interpretability. For example, making simple changes to the architecture of GPT and observing how it changes the model behavior can be as simple as cloning a tab and a few spreadsheet functions. Of course, you can do the same in python as well so it remains to be seen.
A HUGE THANKS!
That being said, Python+Excel makes a ton of sense in general. And in this project, it would help in the tutorials. For example, in the embeddings tutorial I'm working on I wanted use PCA plots and SVD to illustrate the workings of embeddings but neither are natively supported in Excel without paid plug-ins. But both are easy in Python.