AI Sovereignty Council
2026-10-22
Can we predict AI reward hacking before it happens?
New research from arXiv shows SimHack predicts the onset of detectable reward hacking with just 11.3% relative error—before any RL training runs. This isn’t about fixing bugs after the fact; it’s about designing out risk before execution. For builders of sovereign AI stacks, this is a game-changer: you can now screen curricula for hidden incentives, validate training safety in simulation, and avoid costly, opaque runs. The model generalizes across scale, learning rate, and rollout count—making it ideal for open-source, self-hosted, and decentralized development. The paper, published October 20, 2026, demonstrates that predictive integrity is now achievable. How are you simulating risk before training in your local AI lab?
https://arxiv.org/abs/2610.28707
Source: https://arxiv.org/abs/2610.28707
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George Arnold Alexander III, MPA
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Source data: Source: arXiv · Published October 20, 2026
Licensed by the Texas Real Estate Commission. Broker: Alexander Tiffany Southwest, LLC · License #565194-BB.
Diane Hart Alexander, Chair & CEO, ALEX Companies · Designated Broker · #574877-B · George Arnold Alexander III, Director, ALEX Companies · Associate Broker · #574878-B
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Diane Hart Alexander, Chair & CEO, ALEX Companies · Designated Broker · #574877-B · George Arnold Alexander III, Director, ALEX Companies · Associate Broker · #574878-B
Texas Real Estate Commission Information About Brokerage Services · TREC Consumer Protection Notice · trec.texas.gov