An artificial intelligence-driven system has autonomously learned about certain Nobel Prize-winning chemical reactions and designed a successful laboratory procedure to make them. The AI did so in just a few minutes and correctly on its first attempt.
An artificial intelligence-driven system has autonomously learned about certain Nobel Prize-winning chemical reactions and designed a successful laboratory procedure to make them. The AI did so in just a few minutes and correctly on its first attempt. According to the authors, this is the first time that a non-organic intelligence planned, designed and executed this complex reaction that was invented by humans.
"Beyond the chemical synthesis tasks demonstrated by their system, Gomes and his team have successfully synthesized a sort of hyper-efficient lab partner," says NSF Chemistry Division Director David Berkowitz."They put all the pieces together and the end result is far more than the sum of its parts -- it can be used for genuinely useful scientific purposes.
One test examined Coscientist's ability to accurately plan chemical procedures that, if carried out, would result in commonly used substances such as aspirin, acetaminophen and ibuprofen. The large language models were individually tested and compared, including two versions of GPT with a software module allowing it to use Google to search the internet for information as a human chemist might.
Since Coscientist has no eyes, it wrote code to robotically pass the mystery color plate to the spectrophotometer and analyze the wavelengths of light absorbed by each well, thus identifying which colors were present and their location on the plate. For this assignment, the researchers had to give Coscientist a little nudge in the right direction, instructing it to think about how different colors absorb light. The AI did the rest.
In less than four minutes, Coscientist had designed an accurate procedure for producing the required reactions using chemicals provided by the team. When it sought to carry out its procedure in the physical world with robots, it made a mistake in the code it wrote to control a device that heats and shakes liquid samples. Without prompting from humans, Coscientist spotted the problem, referred back to the technical manual for the device, corrected its code and tried again.
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