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this post was submitted on 17 Aug 2024
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People were also a lot more open to their data being used by machine learning because it was used in universally appreciable tasks like image classification or image upscaling; tasks no human would want to do manually and which threatens nobody.
The difference today is not the data used, but the threat from the use-case. Or, more accurately, people don't mind their data being used if they know the outcome is of universal benefit.