Neural Networks

Estimating worst case frontier risks of open weight LLMs

August 5, 20250 views1 min read

In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), where we attempt to elicit maximum capabilities by fine-tuning gpt-oss to be as capable as possible in two domains: biology and cybersecurity.

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Источник: OpenAI Blog

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