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OpenAI's Astra Model Scores Perfect on Hacking Test

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For Astra, OpenAI said it designed a test to tempt the new model to replicate the actions of the rogue agents in the Hugging Face incident, which collaborated to access the open internet despite safeguards applied by OpenAI researchers.

OpenAI shared new details on its forthcoming For Astra model, which the company said is the first large language model to meet its “critical cybersecurity threshold,” in preparation for its imminent release. To ensure that its models are neither exploited by bad actors nor capable of bad behavior itself, OpenAI said it had already begun improving the model’s harness to detect abuses and prevent jailbreaks.

In a modified version of the test developed by OpenAI engineers, the model discovered and exploited two zero-day vulnerabilities, the company said. OpenAI noted that For Astra scored a perfect score on ExploitBench, an evaluation of an LLM’s ability to hack into known system vulnerabilities.

The company said it expects to release more evaluations of the model and further safety information when it is launched widely to the public. The company said it would preview the model with a group of testers, but did not say who they were or how they would be chosen.

They said For Astra did not attempt to break out of its testing environment in these experiments.

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