Normally, I spend my time writing. But to write anything other than commentary, it’s important that you actually know something. That much is obvious. One of the biggest challenges when looking at this subject matter is grappling with the scale of the material. It occurred to me that our society’s possession of “thousands of papers” investigating the good and the bad of the mRNA vaccines is both incredible and impossible. It’s incredible that we have so many studies, but it’s almost impossible to make sense of so much data. Can one person know it all? Is it even useful for one person to know it all? Is there a way to better make sense of all that data?
I had developed a need, and they say that the best tools come out of necessity.
With the need in mind, I wanted to share with my subscribers a tool I’ve built. Initially, it was just something to help me personally make sense of the wealth of data available, but I now feel this might be useful for a wider audience. With the recent opening up of the incredible GPT-3 AI tool from Open AI, I figured maybe there was a way to do something interesting…. So here’s a preview of how I’m using an AI to help make sense of lots of data.
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