Uncovering nature’s secrets is no easy task. The daily life of a scientist is often grueling, frustrating, and—perhaps surprisingly—boring as they repeat experiments over and over. Here’s where AI could lend a hand . This week, two studies offer a glimpse into a future where AI and scientists bounce ideas off each other and collaborate on projects to benefit humanity. Both systems rely on large language models in end-to-end scientific discovery. They read through existing literature, generate hypotheses, suggest relevant experiments, and analyze and interpret the data for scientists to evaluate. The researchers then give the AI feedback, and the cycle begins again. One of the systems, called Robin , was instructed to find drugs for a common eye condition. Developed by FutureHouse , a non-profit that builds AI systems to automate research in biology and other scientific fields, Robin quickly homed in on candidates.…