According to OpenAI on Twitter, GPT-5 was integrated with Ginkgo's autonomous lab, enabling the AI model to autonomously propose, execute, and iterate on experiments for protein production. This closed-loop system allowed GPT-5 to learn from experiment results and continually optimize processes, resulting in a 40% reduction in protein production costs. As reported by OpenAI, this collaboration highlights significant business opportunities for AI-driven automation in biotechnology, showcasing how advanced language models like GPT-5 can drive efficiency and cost savings in large-scale laboratory operations.

According to OpenAI on Twitter, GPT-5 was integrated with an autonomous laboratory system, enabling it to design and iterate scientific experiments autonomously. Over six cycles, GPT-5 generated experiment batches, which the lab executed and then used the results to inform subsequent experiment designs. This process allowed the exploration of more than 36,000 reaction compositions across 580 automated plates, demonstrating the practical potential of large language models in accelerating scientific discovery and experimental optimization. The project highlights new business opportunities in automated research and the application of advanced AI models like GPT-5 in scientific R&D, as reported by OpenAI.