Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
27 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on security
27 notes, page 2 of 2
Inherited Circuits, Learned Semantics: How Fine-Tuning Creates Evasion Vulnerabilities Invisible to Standard Evaluation
A study shows that Language Models (LLMs) fine-tuned for security classification can miss vulnerabilities due to learning token-level indicator semantics that preserve accuracy on their training data but fail under…
The Unfireable Safety Kernel: Execution-Time AI Alignment for AI Agents and Other Escapable AI Systems
The authors propose a safety mechanism for AI agents called the Unfireable Safety Kernel, which is designed to prevent AI systems from making unauthorized changes within their own runtime. The kernel is implemented in…
GIF: Locally Sound Geometric Information Flow Control for LLMs
Researchers have proposed a new method called Geometric Information Flow (GIF) for controlling information flow in large language models used in agentic systems. GIF uses the model's Jacobian and local output geometry…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
