[OpenAI: GPT-5 Demonstrates the Ability to Assist Scientific Research in Real Laboratory Environments] According to a report by Jinse Finance citing AXIOS, OpenAI has revealed for the first time that GPT-5 has demonstrated the ability to assist scientific research in real laboratory environments, suggesting that artificial intelligence may play a more central role in scientific experiments. Although AI has made rapid progress in fields such as mathematics and physics, major breakthroughs in biology have been relatively slow, as biology heavily relies on real-world laboratory work rather than just computational simulations. OpenAI collaborated with the biosecurity startup Red Queen Bio to develop a testing framework to evaluate the performance of AI models in laboratory settings. The laboratory work involved "wet" operations such as handling liquids, chemicals, and biological samples, distinguishing it from "dry" laboratories that primarily focus on data analysis. In the experiments, GPT-5 proposed improvements to molecular cloning workflows. Human scientists executed the suggestions and provided feedback to GPT-5, which then iteratively optimized the protocols based on the feedback. Experimental results showed that GPT-5 increased the efficiency of a standard molecular cloning process by 79 times.