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AI Security

Interview question · How LLM Systems Work

What can interpretability realistically do for AI security today?

An expert question that rewards calibration. The scored answer separates what works now (probes and feature monitors as signals) from what does not (proofs of safety), and says where it fits in a defence.

expertNewUpdated Nov 2026

An expert question that rewards calibration. The scored answer separates what works now (probes and feature monitors as signals) from what does not (proofs of safety), and says where it fits in a defence.

Make your first attempt

What would you say before reading the answer?

  1. 01 State the assumptions your answer depends on.
  2. 02 Explain the mechanism and choose a control.
  3. 03 Name a condition that would change your decision.

The worked answer includes an approach, scoring criteria and follow-up questions. Compare the reasoning with your own.

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What if · the follow-ups in this answer

The answer works through 5 follow-ups like an interviewer would

A fictional museum tests a probe on model activations. Its positive examples all concern restricted conservation reports; its negative examples all concern public exhibition hours. The probe performs well on another split built the same way.

  1. What if the probe is mostly detecting the topic?
  2. What if a controlled feature intervention changes refusals?
  3. What if the replacement model exposes the same number of activation dimensions?
  4. What if the probe service is unavailable?
  5. What belongs in the approval report?

Each rung has a nudge, a model answer, the principle that carries over and the weak answer to avoid. Premium opens every answer and ladder.

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