The integration of Co-Scientist into ALS research, profiled in a DeepMind blog post, showcases AI's potential to streamline complex scientific inquiries — but also raises questions about over-reliance on algorithmic suggestions. The tool excels at synthesizing vast datasets and proposing hypotheses, but its success hinges on the ability of researchers to critically evaluate and validate its outputs. The collaboration between Raman and Flynn is promising, but the true measure of Co-Scientist's impact will be its ability to produce actionable, reproducible results that advance ALS treatment. As AI tools become more prevalent in scientific research, the challenge will be maintaining a balance between automation and human intuition.