Deep dive essays on models, safety, and strategy
What AI safety is, common risks, and why it matters for deployment.
Objective misspecification, misgeneralization, and deceptive behavior.
Evals, benchmarks, adversarial testing, and audit trails.
Risk‑based controls, incident reporting, and third‑party oversight.