But I believe most individuals, when they hear generative AI for journalism, imagine solely automated information websites, like a number of the dangerous examples we saw earlier. So we've seen how ML models are at their finest, for journalism, when recognizing patterns the human eye alone can't see. Patterns in textual content, data, photos of knowledge, hair styling photographs on the bottom, and pictures taken from the sky. Since studying all of the documents, which included tax returns, financial information, and legal memoranda, hair styling wasn't doable, my colleagues Jeremy Merrill and John Keefe constructed a device that you simply would possibly consider as "control-F on steroids." ICIJ staff with experience in tax avoidance recognized passages of specific curiosity in a pattern of the paperwork. Well, here is a fully automated site that I actually assume does a good job offering worth, whereas knowing its limitations, and utilizing just the correct amount of AI. Where LLMs play a job is in offering context: the headlines and different temporary copy that seem across the charts to help readers understand what they're looking at. As a first step I went by every tile and lowered the number of colours right down to 15 plus black by on the lookout for colours which can be used by fewest number of pixels and replacing it with the one other current color (the nearest one to the one being eradicated).

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