Frontier AI Safety, Mechanistic Interpretability & Alignment Engineering: Why Black-Box Testing Fails
This story is from 2026-09-22. It is preserved in the archive; the latest stories are on the live feed.
Artificial intelligence safety has a dirty little secret: the way we evaluate frontier models is fundamentally broken. If you ask most engineering teams how they test a newly trained LLM before deployment, they will describe a familiar, comfortable workflow. They spin up an API wrapper, send a few…
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- 2026-09-22 18:00 · DEV Community — AI
Frontier AI Safety, Mechanistic Interpretability & Alignment Engineering: Why Black-Box Testing Fails