Papers

These papers explain my work in a way that focuses on ideas and outcomes rather than technical implementation details. They cover how AI & systems can be made more reliable as well as how structure and geometry may influence physical behavior.

System Paper

• Why Modern Technology Gives Answers It Shouldn’t — and How to Stop That Before It Happens

AI Papers

• Why AI systems need to have multiple confidence scores per result (for depth of trust)
• How training models to be 'safe' will never work for 100% accuracy esp. in regulated territory
• How to Build AI and Other Systems That Refuse to Act Unless They’re Actually Right
• How AI Can Safely Understand and Modify Software Without Breaking It
• Designing Computer Systems That Stop Safely Instead of Guessing
• Preventing AI From Copying Past Work or Inventing Fake Originality
• Separating Human Intent From AI Memory and Automation
• Why AI Systems Need External Rules Instead of Trusting Their Own Output
• Understanding Why Large Language Models Fail — and How to Design Around It

Physics Papers

• A New Way of Thinking About Physics Using Geometry and Structure
• Updates and Refinements After Testing a Geometry-Based Physics Model
• An Early Framework for Exploring Physics Through Shape and Resonance