The introduction of Google's new AI co-scientist, built on Gemini 2.0, has raised both excitement and skepticism in the scientific community after reportedly 'solving' a superbug issue that took researchers years to address in just two days. The AI was able to suggest testable hypotheses and summarize relevant literature, but the claims of a quick resolution have been challenged. Critics argue that the AI merely reiterated existing knowledge or hypotheses known to the researchers, questioning the significance of the AI's contribution. The conversation emphasizes the role of asking the right questions and suggests a reevaluation of the implications AI might have for scientific research, funding, and the career trajectory of future scientists.