You are right that the inference ecosystem (llama.cpp, vLLM) has moved aggressively to GGUF and Safetensors. If you are just consuming optimized models, you are safer. However, I see two reasons why the risk persists: 1) The Supply Chain Tail: The training ecosystem is still heavily PyTorch native. Researchers publishing code, LoRA adapters, and intermediate checkpoints are often still .pt. 2) Safetensors Metadata: Even if the binary is safe, the JSON header in a .safetensors file often carries the License field. AIsbom scans that too. Detecting a "Non-Commercial" (CC-BY-NC) license in a production artifact is a different kind of "bomb" - a legal one - but just as dangerous for a startup.