Glossary · Term

Rift

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Definition

Plain language

A way to spot a deliberate lie inside an AI by reading its internal state, even when the false answer reads exactly like an honest mistake.

As stated in the literature

A deception-detection method that measures 'residual rank' — leftover, less-compressible structure in a model's internal state — and finds deliberate deception produces measurably more of it than an equally-wrong honest answer; the conflict signal can be read but not cleanly steered.

Why it matters: It offers a way to catch deliberate deception that surface output alone can't reveal, though the signal can be detected more easily than corrected.

For example, it can flag that a model is lying about an answer even though that answer reads exactly like an innocent slip-up.

Heard on the show

“The paper is called "Rift: A Conflict Signature for Deception in Language Models," by Petr Nyoma at Harmonic Labs, and the producer has no affiliation with Anthropic or Eleven Labs.”
Episode 153 — Catching a Lie From the Inside, When the Words Look Completely Honest

Mentioned in 1 episode

  1. 153
    Catching a Lie From the Inside, When the Words Look Completely Honest

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