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GitHub Project Benchmarks Uncensored AI Models for Offensive Security Use

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A GitHub repository published by user JoasASantos introduces a benchmark focused on evaluating uncensored and offensive security-oriented AI models. The project appears aimed at assessing how such models perform on security-related tasks that standard, safety-filtered models typically refuse. The repository was shared on Hacker News, where it received 5 upvotes and no comments at the time of reporting. Details about the specific models tested, methodology, and evaluation criteria are available directly within the GitHub project. The release highlights growing interest in specialized AI tools tailored for cybersecurity research and penetration testing workflows.

Read the full story at Hacker News

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GitHub Project Benchmarks Uncensored AI Models for Offensive Security Use · ShortSingh