Estimating worst case frontier risks of open weight LLMs
In this paper, we examine the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), the place we try and elicit most capabilities by fine-tuning gpt-oss to be as succesful as attainable in two domains: biology and cybersecurity.
