The Signal

Everything that matters in AI, with our take.

Updated through the day. Every headline links straight to the source. The two lines underneath are ours.

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arXiv cs.AIPaper6d ago

Artificial Id: Drive and Persistent Alignment in Agentic AI

The core insight matters: agents that develop their own stopping rules and behavioral switches could be more robust than those relying on hand-specified halting conditions. The paper uses toy experiments to show this emerges naturally, but the scaling risk is real. If you're building long-running agents, this suggests where unexpected failure modes come from. The mechanism is worth understanding, but the results are still in simulation.

agents research control emergence

arXiv cs.AIPaper10d ago

Mechanism Design for Alignment and Control

This is the theoretical foundation for the control problem builders actually face: how do you verify that an AI agent is honest about what it can do and aligned with what you want? The paper gives you math for sandbagging detection, scalable oversight, and peer scoring. If you're deploying agents with high stakes, this is the vocabulary you need to talk about their trustworthiness.

research alignment agents control