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Prosaic Can AI models tell when they are watched?
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Does a model need a set number of hidden signals before it switches behavior?If yes, we can predict when models learn to spot monitoring.
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Can a real monitor's trace teach a model to switch behavior?If no, monitoring may stay invisible to the model.
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Do longer thoughts make monitoring easier for a model to spot?If yes, long reasoning could reveal when a model is watched.
Defense Can hidden links catch rogue AI agents?
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Does telling an AI agent to name suspicious links make it avoid them?Cheap warnings could protect agents from traps.
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Do AI agents still obey a visible-only rule when the hiding method changes?A rule that fails against some hiding tricks gives false safety.
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Can we predict which hidden links an AI agent follows without running the agent?Cheap prediction would make hidden-link detectors easier to test.
Prosaic Can safety fixes in released AI models last?
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Can a monitor-triggered fix restore refusals without making the model refuse harmless requests?A targeted fix could keep safety without hurting normal use.
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Does the refusal monitor still work after heavier safety removal and in bigger models?A monitor that breaks under pressure cannot protect released models.
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Does rescaling parts of the model change how fast removed skills return?It could show how to make removed knowledge stay removed.
Theory How fast do models learn to react to hidden signals?
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Do very small hidden signals take ever longer to learn?This shows whether tiny signals are safe to ignore.
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Do signals at the start of a prompt take longer to learn?It shows how real leaks of hidden information could be learned.
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Can we predict learning time from how much a signal reaches the answer, before training?We could estimate risk before spending on training.
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