LLM Access, Trust, and Integrity Debates. Extreme Local LLM Hardware and DIY Training. Building, Fine-Tuning, and Evaluating LLMs (and MLLMs). Novel LLM Reinforcement Learning: Rubric Anchors and Reward Shaping. Model and Agent Evaluation: Domain-Specific Benchmarks and Lifecycles