Signals

Production-oriented research signals and interpretation for AI systems builders.

Guides and explainers

Detailed guides and practical technical analysis.

Agent Security Needs Owners, Not More Threat Lists
Agent Data Injection Needs Trust Boundaries, Not Prompt Filters
Agent Accountability Breaks When the Audit Trail Is Just a Trace

Latest analysis

Recent research, benchmark reviews and technical updates.

Tool Agents Need Taint Boundaries, Not Bigger Scopes
Chip-Design Agents Need Token ROI, Not Demo Flows
Agent Bias Is Not Model Bias
Cyber Agents Need Triage Custody, Not Higher Exploit Scores

Practical tools

Templates for budgets and project planning

BoredTools offers practical spreadsheets for budgets, freelance work and small projects.

Browse templates Free budget tracker

Signal Signals Evidence-first framing

Interpretability as Infrastructure: Why Understanding AI Matters More Than Controlling It

Mechanistic interpretability has moved from describing what models do to engineering how they work. If you can identify the neurons responsible for a specific behavior, you don't need to control the entire system.