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Apple’s use of fake data to train AI is not as weird as it sounds, here’s why
Apple is hardly the first company to lean on “fake” data to train AI models. Other companies have done it to great success.
All this has left Apple’s researchers more heavily reliant on datasets it licenses from third parties and on so-called synthetic data—artificial data created expressly to train AI. Guarantee perfect label accuracy; Adjust for rare scenarios; Avoid including personally identifiable or copyrighted material in the dataset. For all the leaks, reports, and (justified) finger pointing of the last few weeks, Apple might finally be ready to turn the page and start talking about what it’ll actually do to pull itself out of the AI-shaped hole it spent the last years digging itself into.
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