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safety-research

Here are 14 public repositories matching this topic...

SoftPrompt-IR is a low-level symbolic annotation layer for LLM prompts, making intent strength, direction, and priority explicit. It is not a DSL or framework, but a minimal, composable way to reduce ambiguity, improve safety, and structure prompts.

  • Updated Feb 11, 2026

Explore glider aviation safety through in-depth data analysis. This project leverages incident reports and manufacturing data, utilizing Python and Jupyter Notebooks for trend identification, risk assessment, and safety enhancement in glider aviation.

  • Updated Dec 30, 2023
  • Jupyter Notebook

Date: July 20, 2026 Author: Kevin Michael Lent I am publicly establishing the timeline of my work in layered transition structures related or equal to areas in AI referred to as J-Space in large language models.

  • Updated Jul 20, 2026
  • Python

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