Estimating worst case frontier risks of open weight LLMs
- ID
- 458
- Status
- new
- Published
- 05 Aug 2025, 8:00 AM
- Fetched
- 27 Jun 2026, 7:47 PM
- Provider
- OpenAI News
- Category
- ai-labs
- Original URL
- https://openai.com/index/estimating-worst-case-frontier-risks-of-open-weight-llms
- Source URL
- https://openai.com/news/rss.xml
Excerpt
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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