We are creating a risk evaluation blueprint for large language models (LLMs) aiding in biological threat creation. Initial testing with biology experts and students found that GPT-4 only slightly improves accuracy. While inconclusive, this encourages further research and community discussion on the topic.
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Evaluating Risk of Large Language Models (LLM) in Biological Threat Creation
We are developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. Our evaluation involving biology experts and students found that GPT-4 provides, at most, a mild uplift in biological threat creation accuracy. While this uplift is not conclusive, our finding is a starting point for continued research and community deliberation.
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Advantages of Building an Early Warning System for LLM-Aided Biological Threat Creation
If you want to evolve your company with AI and stay competitive, consider building an early warning system for LLM-aided biological threat creation. This can help in identifying potential risks and taking proactive measures to mitigate them.
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