Ask what should change under a concrete input, then trace that expectation through the equation.
Foundation Lab
Automated Red Teaming
Unknown unknowns dominate safety issues
#89Auto RedTeamScaling & Alignment
key equation
Selected Foundation Object
Keep the equation fixed; move through the evidence.
Concept 89 of 100Auto RedTeamScaling & Alignment / Phase 12: Advanced alignment & safety research
Current question
Red-team model proposes attacks, evaluator scores target response
Use the key equation and canonical papers as the available witnesses, without implying that a runnable panel exists.
The useful learning product is the reusable mechanism you can carry into another model, paper, or engineering tradeoff.
Use prerequisites, dependents, and semantic links to repair the next gap without leaving the object behind.
Why It Matters for Modern Models
- Unknown unknowns dominate safety issues
- Automated coverage exceeds human handcrafted tests
- RL-based generation finds progressively harder failures
What Tutorials Skip
What is still poorly explained in textbooks and papers:
- Red-team model proposes attacks, evaluator scores target response
- Iterate: improve adversarial generation to find harder failures
- Feed discoveries into filters, training data, policy updates
Visualization Status
Core Math (Optional Deep Dive)
If you want intuition first, start with the key equation and cited sources. Come back here for the full walkthrough.
Key Equation
Adversarial search for failure-inducing prompts:
then mitigate:
where measures unsafe behavior (toxicity, policy violation, leakage).