Try pair reading it with a good thinking LLM like GPT 5.5 or Claude Opus. I found it help me a lot.
I have started learning SBCL internal from the beginning of this year with the help of GPT, and I really want to contribute to SBCL compiler someday in future.
Some of these models are open weight. You can try hosting them and do the price calculation yourself.
They also publish papers talking about how to save kv cache and computation powers. Because currently they don't have the most powerful nvidia cards, training and inference efficiency is very import for them.
It’s true that American companies have benefited from sending jobs overseas. Instead of trying to stop them, perhaps we could explore ways to share this money more fairly across the country.
I'm very interesting in this field (realtime audio + GPU programming). How do you deal with the latency? Do you send or multiple single vectors/buffers to GPU?
Also I think because samples in one channel need to be processed sequentially, does that mean mono audio processing won't benefit a lot from GPU programming. Or maybe you are dealing with spectral signal processing?