A bad PDF parse put a nonsense word into 20 scientific papers

that's what's most important. And how important is it? Well, I have this viral tweet from earlier where 20 scientific papers now feature a new nonsensical term that doesn't exist because AI misinterpreted a very old article that was scanned and taken to a PDF, merging two different words from two different columns in this PDF. And because researchers are using these models in order to help them write, now we have different types of scientific papers that all feature this word and are even being cited by other people. And so, that's how important it is to make sure that the data that we're processing is processed in a way that's accurate and not hallucinated and able to be used confidently in our applications that we're delivering to users and customers. So, it's quite important. Now, if we were to use a tool like Docling that I can run on my own machine, you could see that these two words are quite far away from each other and shouldn't have been combined in the first place. But, that's how we're going to learn about extracting this text here