RadicalNotion.AI

RadicalNotion.AI

Applied AI research for security practitioners who need full model capability without exposing sensitive data to third-party infrastructure.

Research Focus

Security Ablation & Decensoring — Removing refusal activations that block legitimate vulnerability research. Built on the foundational activation analysis work of Philipp Emanuel Weidmann (p-e-w/heretic).

CVE Knowledge Distillation — Compressing everything publicly known about a specific vulnerability into a single document that supercharges a small, privately-hosted model. Analysts add sensitive environmental context in their own infrastructure. Nothing sensitive ever reaches a frontier model.

Real-Time Vulnerability Management — Automated analyst reports synthesizing CVE mechanics, exploit chains, detection opportunities, and remediation guidance at the moment of investigation.

Model Integrity Research (early stage) — Investigating post-training modification as a threat surface, with focus on code assistance and agentic workflows.

Principles

• Open-weight models only
• Private inference by default
• Data sovereignty is non-negotiable
• Attribution always

ModelAtlas

Navigation and documentation for all published models → ModelAtlas Space

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