- 01safetyactive
Physics-Based AI Image Detection
Detecting AI-generated images through physics-based reasoning — analyzing depth maps, brightness-depth consistency, and light estimation to expose how AI fails to model real-world physics. A 3-feature classifier achieves 68.3% accuracy with just depth gradients and brightness edge analysis.
githubview → - 02memoryactive
DREAM-C2L: Continual Learning Framework
Open-source framework for continual learning research. Enabling AI systems to learn continuously without catastrophic forgetting, adapting to new data while preserving prior knowledge.
githubview → - 03safetycompleted
Project Canary
Foundational MOVE Fellowship project (Sept-Oct 2025) — a community-driven effort to train and refine frontier AI models. Completed 15,000+ tasks across 15 domains, improving Review 1 approval rates from 10% to 40%.
view → - 04safetycompleted
Project Orion
Advanced MOVE Fellowship phase (Nov 2025) — specialized refinement of frontier AI models. Focused on high-quality reasoning chains, safety injections, and red-teaming through jailbreak testing. One-month intensive following Project Canary.
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