NanoEuler Launches GPT-2 LLM Built from Scratch in C/CUDA
NanoEuler is an open-source GPT-2-class language model (~116M parameters) built entirely from scratch in C/CUDA, including hand-written backpropagation, a BPE tokenizer, FlashAttention, pretraining, and supervised fine-tuning — with RLHF/DPO planned. For defenders, the significance lies in the democratisation of low-level, dependency-free LLM training infrastructure: adversaries gain a highly portable, auditable, and modifiable training stack that bypasses standard ML framework telemetry and supply chain controls. Security teams should treat this class of 'from-scratch' open-source LLM tooling as a potential foundation for covert fine-tuning pipelines, backdoor insertion, and evasion of model-level safety controls.
