What are you signing into where you need a password but don’t have internet?

So far I have only really scratch built backprop. And had severe performance problems with Burn trying to do something it probably wasn’t built to do. Once I get further in makemore I should have a better idea.

Been working through Andrej Karpathy’s ML lectures in Rust. The backprop one went pretty well, but I had to learn how to do type indirection and interior mutabilty because of the backprop graph structure. I’m now on the makemore lecture, but having a lot of trouble building the bi-gram model in Burn (the rust native ML framework), because it seems like directly incrementing the tensor values is insanely slow. His example that takes like 10 seconds to run in Python takes two and a half minutes in Rust with Burn, so trying to figure out how to optimize or speed that up.

It literally isn’t though, the graph is labeled and the article explains it in further detail, this is a graph of the percent of income each income group pays in taxes. You explination doesn’t even make sense, the numbers of all the groups don’t add up to 100%.

Elon has literally said exactly this so many times. I think it is probably possible to make a car drive with just vision, but you make the task monumentally harder by not having things that ground you in reality, ie. lidar.

It’s camera pass-through, so while it is the same idea as hololens (overlaying windows on reality). The hololens would actually be a safer thing to wear while driving, given it fully transparent. There are not screens blocking your vision with camera feeds overlayed on top.

They are not, can’t even get an appointment until after the 5th. Currently they are first come first serve.