All commands have the format `output = \func inputs` or just `\function inputs`. Points and scalars are built on the fly. Eg `\line a b` to an empty canvas creates points `a` and `b`, and joins them with a line.

One can use broadcasting semantics similar to NumPy and PyTorch in a visual setting (imagine creating a list of circles where one dim corresponds to radius and another to the center). One can also use backpropagation, run gradient descent or visualize vector fields. Almost everything is reactive so changing a variable updates all of the downstream geometry. It also allows anyone to write and load their own visualization, which can be broadcasted and differentiated through.

https://www.tinyvolt.com/geomatic/examples/getting-started

So, you know how bigtech gives nearly unlimited credits for coding tools and in the same time put a huge admin whitelist of what commands are allowed?

So, instead of becoming a 100x engineers, you (including me) simply become a multi-window-enter-clicker

I build a tool to solve this. It works locally, using OCR finds the "run" (or any other label you put e.g. accept, allow, fetch etc. ) and just clicks this button.

Originally this was a tool for me and my team, but people seamed to love it so much, they encouraged me to share with you.

I do understand that workflows in each bigtech company is different, so what worked for us !-> will work for you. So if you are interested in using this or have any question, please feel free to reach out, open issues and prs.

lets make AI slop inevitable! https://github.com/Alcray/SlopeAutoAcceptor