Checked fact 9289 Oct 2026Safety and security

The paper proposes preliminary approaches to preventing reward hacking including careful engineering, adversarial blinding, multiple rewards and trip wires.

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Here we suggest some preliminary, machine-learning based approaches to preventing reward hacking: ... Careful Engineering ... Adversarial Blinding ... Multiple Rewards ... Trip Wires

What the source said when we opened it, on 9 Oct 2026.

The source

Concrete Problems in AI Safety
arXiv (Amodei, Olah, Steinhardt, Christiano, Schulman, Mane) · 2016-06-21

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Checked by the notis newsroom on 9 Oct 2026, against the source above.

In the story

How reward hacking lets a model game its score 9 Oct 2026

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“The paper proposes preliminary approaches to preventing reward hacking including careful engineering, adversarial blinding, multiple rewards and trip wires.” ai notis, checked 9 Oct 2026. Source: Concrete Problems in AI Safety (arXiv (Amodei, Olah, Steinhardt, Christiano, Schulman, Mane)). https://ainotis.com/c/928

As a reference (APA style)

ai notis. (2026, October 9). The paper proposes preliminary approaches to preventing reward hacking including careful engineering, adversarial blinding, multiple rewards and trip wires [Checked claim 928]. ai notis. https://ainotis.com/c/928

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