I couldn't afford an A100, so I built a Surgical Weight editor in Rust.

"I don't have $30,000 for a GPU cluster. Does that mean I can't evolve my AI?" That was the question that started PickyTrain. We've been told for years that if you want to change how an LLM thinks, you need a massive dataset and a training loop that eats VRAM for breakfast. I call BS. If a model is just a giant pile of weights, why can’t we just... edit the weights? Today, I’m open-sourcing PickyTrain: A "Hex Editor" for AI models that lets you perform "brain surgery" on GGUF files on your CPU, with zero training data. 🧠 The Problem: The "Black Box" of Fine-Tuning Standard fine-tuning is a shotgun approach. You throw data at a model and hope the backpropagation hits the right neurons. It’s expensive, slow, and requires hardware most of us don't have under our desks. 🔪 The Solution: Surgical Weight Editing PickyTrain (written in Rust 🦀) "thaws" frozen GGUF models into a new fluid format called PTXY. No GPU? No Problem. It runs entirely on the CPU. No Dataset? Fine. You don't need 10,