According to God of Prompt on Twitter, OpenAI’s latest collaboration with Red Queen Bio leveraged GPT-5 to directly optimize an actual gene-editing protocol, resulting in a remarkable 79× efficiency gain (source: twitter.com/godofprompt/status/2007580013911257571). This marks the first instance of AI not only predicting outcomes but also executing real-world biological experiments through robotic benchwork. The practical integration of advanced large language models like GPT-5 with laboratory automation demonstrates a significant leap in AI-driven biotech R&D, opening new business opportunities for pharmaceutical companies and biotech startups to accelerate drug discovery and gene therapy development. This approach shows how AI can move beyond simulations to tangibly enhance experimental biology, potentially reducing costs, timelines, and resource requirements in wet-lab research.

According to OpenAI (@OpenAI), the GPT-5 model was tested in collaboration with Red Queen Bio to optimize molecular cloning protocols in real-world laboratory settings. The AI model independently proposed, executed, and refined experiments through a controlled framework, resulting in a 79-fold increase in standard molecular cloning protocol efficiency. Notably, GPT-5 introduced a novel enzyme-based approach among other advanced techniques, demonstrating substantial practical improvements in wet lab research productivity. This partnership highlights significant business opportunities for integrating advanced AI models in biotechnology and laboratory automation, paving the way for accelerated scientific discovery and streamlined R&D processes (Source: openai.com/index/accelerating-biological-research-in-the-wet-lab/).