Anthropic, a company known for developing advanced artificial intelligence systems, has confirmed it is using the Claude models for its research in a laboratory setting. This move highlights the growing role of AI in scientific discovery and experimentation. The company has set an ambitious goal: to use AI to cure all diseases within the next 5 to 10 years. This vision reflects the rapid advancements in AI capabilities and the increasing belief that machine intelligence could revolutionize healthcare. One recent development in AI research shows that these systems are becoming more versatile. According to a report, AI is no longer limited to performing calculations or processing data. Instead, it can now operate scientific instruments directly. This is made possible through a new protocol known as "MHS," which allows AI to interact with and control laboratory equipment. This advancement marks a significant step in the integration of AI into real-world scientific applications. The MHS protocol enables AI to perform tasks such as adjusting settings on microscopes, handling samples, and monitoring experiments in real time. This level of automation could drastically increase the speed and accuracy of scientific research. By reducing the need for human intervention in repetitive or precision-sensitive tasks, AI can help researchers focus on more complex aspects of their work. As AI continues to evolve, its applications in science and medicine are expanding rapidly. Anthropic’s use of the Claude models in a laboratory setting underscores the potential of AI to not only assist but also lead in scientific discovery. While the goal of curing all diseases within a decade may seem ambitious, the progress being made in AI capabilities suggests that such a future could be closer than many previously thought.