Google's AI co-scientist aims to support scientific research by assisting in hypothesis formation and research planning. However, experts remain doubtful regarding its effectiveness and practical application in the scientific community. Critics point out that existing AI tools, including Google's, are often too vague and lack empirical support to warrant serious use in research. While AI's potential in accelerating scientific discovery is widely discussed, many scientists question the actual utility of these tools, suggesting they may be more about hype than tangible results.
"This preliminary tool, while interesting, doesn't seem likely to be seriously used," Sarah Beery, a computer vision researcher at MIT, told TechCrunch. "I'm not sure that there is demand for this type of hypothesis-generation system from the scientific community."
"This could be used as a good starting point for researchers, but [...] the lack of detail is worrisome and doesn't lend me to trust it," Dubyk told TechCrunch. "The lack of information provided makes it really hard to understand if this can truly be helpful."
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