Looking for feedback on an independent research note about self-improving LLM training

Hi everyone, I’ve written a short research note on GitHub where I explore an idea related to making LLMs improve their own training process by self-distribution aware analysis. The focus is not on a specific implementation, but on a general training paradigm and how models could guide what data or signals they learn from next. I’m looking for feedback or criticism. My goal is discussion and learning, not making any strong claims. If someone finds the direction interesting and wants to continue or extend the research, I’d be genuinely happy to see that. Thanks for your time!

GitHub of note: https://github.com/Konstantin-Sur/Distribution-Aware-Active-Learning/