Building an early warning system for LLM-aided biological threat creation

**TL;DR:** Building an early warning system for LLM-aided biological threat creation

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We’re developing a blueprint for evaluating the risk that a large language model (LLM) could aid someone in creating a biological threat. In an evaluation involving both biology experts and students, we found that GPT-4 provides at most a mild uplift in biological threat creation accuracy. While this uplift is not large enough to be conclusive, our finding is a starting point for continued research and community deliberation.

Source: OpenAI Blog

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Last updated: June 16, 2026.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.

Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.