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Yeah. Science is often about rigorously verifying the things that seem obvious, and often going into significantly more detail about it too. TinyStories for example not only confirms that better quality data gives better quality models, but also how to go about to get that data, what parameters of the models lead to what observed effects, and how all of that can be used in the future. The simple one line summary of the conclusion might be "better training data creates better models" but that does nothing to really explain what better quality actually means or how to go about getting that better quality data, or why the data used for previous models was worse quality.