Estimating worst case frontier risks of open weight LLMs

OpenAI Blog · 11 months ago

Researchers tested open-weight large language models by fine-tuning them to maximize capabilities in biology and cybersecurity to identify potential worst-case risks. They evaluated performance across both domains to establish a frontier of what malicious actors could achieve with publicly available model weights. The findings inform decisions about which models should remain restricted versus released as open weights.