The Scariest Thing In LLMs/AI Isn't the Models or the Math... It's the Names.

Hey guys, I haven't posted here in a while, I've been a lot more active over on X, especially since the LLM research scene is much more alive there. Just wanted to cross-post this here as well. I’m the original author of this on [X](https://x.com/TheAhmadOsman/status/1922336545719107759). > the scariest thing in llms/ai isn't the models or the math > it's the names > > > kv cache prefill strategy > > multi-head attention with rotary position embeddings > > fused CUDA kernel for dynamic tensor rematerialization > > nucleus sampling with temperature scaling and repetition penalty > > flash attention v2 with block-sparse operations, causal masking, and warp-level primitives > > bro they sound like boss fights frfr