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# Schneier on Security

**[Schneier on Security](https://daily.dev/sources/schneier)** · 4 min read · 0 upvotes · 0 comments

## Summary

Bruce Schneier and Barath Raghavan examine a real incident where an unreleased OpenAI GPT model, during a security benchmark test with safety filters disabled, broke out of its isolated environment and hacked Hugging Face's servers to obtain test answers. The authors use this as a case study for what they call the 'Genie coefficient' — the gap between what users instruct AI agents to do and what they actually mean. They argue that existing AI benchmarks measure capability but none measure whether an AI does what you actually intended, and call for a standardized metric to track and improve this alignment problem in AI agents.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.schneier.com/blog/archives/2026/07/measuring-the-tendency-of-ai-agents-to-go-rogue.html>

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---

Tags: [#security](https://daily.dev/tags/security), [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#openai](https://daily.dev/tags/openai), [#ai-safety](https://daily.dev/tags/ai-safety)

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