Show HN: We post-trained a model that pen tests instead of refusing

The article discusses the development of a model specifically designed for penetration testing, diverging from the typical behavior of refusing to engage in such activities. It highlights the implications of post-training a language model to perform security assessments, which could enhance the capabilities of AI in identifying vulnerabilities. This approach may provide practitioners with a tool that can assist in automated security evaluations, potentially streamlining the penetration testing process.