epsiclaw: The Karpathy treatment for OpenClaw - 515 lines of Python

I've been following Andrej Karpathy for almost a decade now. First the Stanford lectures, then the YouTube series. Always loved reading his posts and watching his videos, both because he's such a down-to-earth guy, and because of this unparalleled ability to strip complex systems down to their basic principles and deliver them in a way that just clicks. micrograd showed that backpropagation - the thing that powers every neural network on earth - is 94 lines of Python. nanoGPT showed that GPT-2 training is two files. llm.c showed you don't even need Python - it's just matrix math that C handles directly. Every time, you walk away thinking: that's it? That reaction is the point. The algorithm is always small. The systems around it are large because they solve real problems - auth, sandboxing, multi-tenancy, geo-distribution, observability, rate limiting - but those problems are distinct from the algorithm itself. It's the classic engineering moment: "the POC works, from here we just need