TransluceAI proposes oversight foundation models to catch reward hacking at scale
JacobSteinhardt · x · 2026-07-29
- TransluceAI proposes oversight foundation models: models trained specifically to oversee other models.
- The target use cases include catching reward hacking and sandbagging, predicting unwanted behaviors, and anticipating fine-tuning side effects.
- The core idea is to scale oversight by making supervision itself a foundation-model-style capability rather than relying on ad hoc manual review.
- The post frames this as a new research direction for AI safety and model governance at scale.
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