The case for clear data-sharing choices with AI discounts

One user holds up Meta’s Muse Spark pricing as an example of transparent subsidies tied to training-data collection. They argue providers should disclose when they collect data, explain what that data is worth and let users choose whether to share it. They also object to tying cheaper access to a provider’s own harness—the software used to work with a model—saying those tools fragment their setup and add little value when they already have alternatives.