Google has recently unveiled a new artificial intelligence tool called “Co-Scientist” aimed at helping human researchers to accelerate scientific discoveries and facilitate research processes. The tool was made using a new version of Google’s Artificial Intelligence called Gemini 2.0 and has been able to solve the scientific mystery that researchers have not been able to solve for more than 10 years in the initial experiment. Many experts do not believe that this tool can be really useful soon.
Co-Scientist Artificial Intelligence and Acceleration of Scientific Research
According to the Forbes report, the researchers can use these new testable hypotheses, research protocols, and detailed drafts for scientific tests. Since users with this system can address their research goals in the natural language and import feedback and suggestions, it seems to facilitate human and artificial intelligence.
Many experts and researchers doubt the actual performance of this tool. According to some researchers, the tool can best be a good start for research, but now does not have enough information and capabilities to be trusted seriously.
Some consider this type of system to be overly promoted and believe that the results have not yet reached a level that is used seriously. According to Favia Dubik, the pathologist of the North Wester Arizona medical center, the information is so vague that no prestigious scientist can take it seriously.
Challenges of using artificial intelligence Co-Scientist
In addition, there are also concerns about the capabilities of the artificial intelligence system and the challenges of using it on a larger scale. Some believe that today’s artificial intelligence cannot imitate what humans make by using intuition and hard work.
According to Ashique Khudabukhsh, professor of software engineering at the Rochester Institute of Technology, tools such as Co-Scientist must be independent and accurately evaluated in various scientific fields in order to properly understand their true limitations and abilities.

Some researchers have criticized and criticized the tool as an attempt to eliminate aspects of science that is enjoyable. Many scientists believe that parts of science, such as creating hypotheses, are a pleasant process; So why should they put it on computers?
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