Research Division — Preparedness & Alignment

Safety Engineered Into the Core Weights

Building stronger AI than any prior generation requires equally rigorous engineering discipline around alignment, interpretability, and misuse prevention.

01 · Preparedness

Capability Threshold Gates

Every model checkpoint is evaluated against quantitative thresholds for cybersecurity, biosecurity, and autonomous replication before deployment approval.

02 · Interpretability

Sparse Autoencoder Auditing

We map millions of internal neural features to audit model intent, detect deceptive alignment, and verify refusal robustness against adversarial jailbreaks.

03 · Verification

Independent Red-Teaming

We partner with UK and international security institutes to stress-test our frontier models prior to public or enterprise release.