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Assessing Risks of Open Weight LLMs

Aug 05, 2025

Sources: https://openai.com/index/estimating-worst-case-frontier-risks-of-open-weight-llms, OpenAI

A recent paper from OpenAI examines the worst-case risks of releasing open weight large language models (LLMs), specifically gpt-oss. The study introduces the concept of malicious fine-tuning (MFT), which aims to maximize the model’s capabilities in critical areas such as biology and cybersecurity. Understanding these risks is essential for ensuring the safe deployment of AI technologies.