@omarsar0
AI scientists are coming. However, current AI research tools work in isolation. Paper summarizers, experiment automators, and hypothesis generators are all done separately and disconnected from the research process. But real science isn't linear. It's collaborative, iterative, and deeply human. This new research introduces OmniScientist, a platform where AI and human scientists work together in a symbiotic ecosystem. The key idea: mutual feedback loops. Human expertise refines AI capabilities. AI insights then expand human research scope. Both evolve together. The platform integrates literature analysis, hypothesis generation, experimental design optimization, and results interpretation. Humans provide oversight at critical decision points. An exciting vision is AI systems that augment scientific discovery across physics, chemistry, biology, and computational sciences. The work is not about replacing the scientific process but rather about enhancing and augmenting it. What makes this powerful: AI handles scale and pattern recognition. Humans provide intuition and validation. Together, they tackle problems neither could solve alone. (bookmark it) Paper: https://t.co/xwvDQ56s4W