From Newsletter Issue 004
I’ve been intrigued by AI (artificial intelligence) and Large Language Models as a wonderful new tool to help provide meaning to large sets of data, or to explain complex topics. I’ve even used it on a personal level to craft silly poems and cards for family members! There’s certainly been a lot of hype and fear surrounding it’s use and potential.
But the study below didn’t sit well with me, and I’m curious what you think.
In this study, Department of Psychology, University of Greifswald, Greifswald, Germany decided to run an experiment with only a single group, relying on the “knowledge” and predictive ability of a “Super Learner” large language model to explain how a theoretical control group would have behaved.
It’s fascinating to think of the speed at which we can run experiments, learn more, learn faster, with the help of artificial intelligence. But I think to prove the accuracy and trustworthiness of the large language model “Super Learner”, a control group should have been tested against the machine’s predicted control group behavior. As the study was conducted, I have very mixed feelings about the results.
What do you think?
We need your feedback
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