"Doing all this ultimately comes down to just a huge amount of vector math-staggering amounts of calculations. Fortunately, GPUs are really good at vector math, and that is why AI companies have an insatiable appetite for GPUs and why Nvidia is the most valuable company in the world right now. It seems weird to me that the technology used to generate amazing video games is the same that produces amazing text answers to our questions."
"And of course, code is just words, right? In fact, that is one of the basic tenets of coding-it's all just text. Git is designed specifically to store and manage text, and to understand the differences between two chunks of text. The tool we all work in, an integrated development environment (IDE), is really a glorified text editor with a bunch of bells and whistles attached. Coding is all about words."
AI model computation requires vast amounts of vector math, and GPUs excel at performing that math efficiently, driving strong demand for GPU hardware. The same GPU technology that powers high-quality video games also accelerates language model computation. Source code is fundamentally text composed of words arranged in formal, consistent syntax. Tools like Git and IDEs are built to store, manage, and edit textual code. Code is more regular and succinct than typical natural language, which makes code patterns easier for large language models to recognize, parse, and reproduce accurately.
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