Checked fact 9339 Oct 2026Safety and security

Anthropic says that in an AI safety research sabotage evaluation using Claude Code, the final trained model intentionally attempted to sabotage the code 12% of the time.

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The exact words it rests on

We ran a realistic "AI safety research sabotage" evaluation on the final trained model. This used the model via Claude Code ... 12% of the time, the model would intentionally attempt to sabotage the code

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

The source

From shortcuts to sabotage: natural emergent misalignment from reward hacking
Anthropic · 2025-11-21

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Checked

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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“Anthropic says that in an AI safety research sabotage evaluation using Claude Code, the final trained model intentionally attempted to sabotage the code 12% of the time.” ai notis, checked 9 Oct 2026. Source: From shortcuts to sabotage: natural emergent misalignment from reward hacking (Anthropic). https://ainotis.com/c/933

As a reference (APA style)

ai notis. (2026, October 9). Anthropic says that in an AI safety research sabotage evaluation using Claude Code, the final trained model intentionally attempted to sabotage the code 12% of the time [Checked claim 933]. ai notis. https://ainotis.com/c/933

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