# Measuring AI's capability to accelerate biological research

DevFeed: [Measuring AI's capability to accelerate biological research](<https://devfeed.tech/articles/measuring-ai-s-capability-to-accelerate-biological-research-6268.md>)

Original publisher: [Read original article](<https://openai.com/index/accelerating-biological-research-in-the-wet-lab>)

Published: 2025-12-16T08:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [experimental](<https://devfeed.tech/tags/experimental.md>), [experimentation](<https://devfeed.tech/tags/experimentation.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [models](<https://devfeed.tech/tags/models.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>)

## AI overview

OpenAI evaluates GPT-5's ability to accelerate wet-lab biological research. In collaboration with Red Queen Bio, GPT-5 optimized a molecular cloning protocol and introduced a mechanism that improved cloning efficiency by 79x across multiple experiments. The work also examines biosecurity risks and safeguards for AI-assisted experimentation.

## Source excerpt

OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation.