Apple is taking a major step forward in how it trains its artificial intelligence (AI) models—introducing a smarter, privacy-first method that improves performance without peeking into personal data.
In a recent announcement shared on Apple’s official Machine Learning Research blog and reported by Bloomberg, the tech giant revealed its plans to implement a new AI training technique in upcoming beta versions of iOS 18.5 and macOS 15.5. This approach builds upon Apple’s commitment to safeguarding user privacy while delivering more precise and useful AI-powered experiences.
Traditionally, Apple has relied on synthetic data—artificially created content—to train features like writing suggestions and email summaries. While this method protects real user content, it lacks the nuanced understanding that comes from actual user behaviour. To bridge that gap, Apple is launching a new method that smartly compares synthetic data to real-world patterns, without ever accessing or storing user content.
Apple generates thousands of artificial emails on various everyday topics. These emails are converted into embeddings, which are data representations capturing their context and structure.
These embeddings are then sent to a small number of Apple devices enrolled in the Device Analytics program. Locally, the devices compare the embeddings with recent user emails stored on the device and pick which synthetic message feels the most similar. Crucially, none of the user’s real emails or the matching results are ever uploaded or shared.
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This process is protected using differential privacy, a method that ensures only anonymous signals are sent back to Apple. These signals indicate which synthetic messages were chosen most often, helping Apple fine-tune its AI models based on real-world relevance without ever identifying individual users or their messages.
The result? Enhanced AI tools that reflect how people truly communicate, while maintaining complete data privacy.
Apple already applies this privacy-conscious approach in features like Genmoji, its personalised emoji generator. By anonymously tracking common prompt patterns—without storing or linking them to users—Apple is able to improve how its AI interprets requests like “a dancing dinosaur in sunglasses.”
Looking ahead, Apple plans to expand this method to other AI features, including Image Playground, Image Wand, Memories creation, and Visual Intelligence—further cementing its position at the intersection of innovation and privacy.
In a world where data is currency, Apple’s evolving strategy underscores a clear message: powerful AI doesn’t have to come at the cost of personal privacy.
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