RESEARCH
Red Team Competition: AI Safety Analysis
Comprehensive analysis of vulnerabilities and defense strategies discovered during competitive red teaming of AI systems. This research explores prompt injection techniques, jailbreak methodologies, and systematic approaches to identifying safety gaps in large language models. Includes novel attack vectors, trend analysis of emerging vulnerabilities, and actionable recommendations for improving AI alignment and robustness.
Read Full Analysis →TOOLS & PROJECTS
LLM Scribe
Python application for creating hand-typed datasets with automated multi-format export for fine-tuning workflows. Features intelligent validation, format conversion for various LLM training frameworks, and optimization tools designed specifically for safety-focused model development.
View on GitHub →AI Discord Bot
Lightweight integration bringing AI capabilities to Discord servers with built-in safety filters and moderation tools. Demonstrates practical implementation of AI systems with appropriate guardrails for community deployment.
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