Safety and alignment in an era of long-horizon models
Researchers are exploring safety and alignment challenges associated with long-horizon AI models that operate autonomously over extended periods. The study highlights that persistence introduces new security vulnerabilities and requires iterative deployment strategies to monitor and control model behavior.
Why it matters
As AI models move from short-task execution to long-term autonomous problem solving, new safety frameworks are required to prevent unintended actions.
What internal use of a long-running model taught us about safety.
The content is a technical report on safety research with no political or commercial agenda.
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