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Can AI be private? Apple thinks so. Here’s how

Apple takes a two-pronged strategy with AI, processing common tasks locally on-device while tapping a private cloud for more complex requests to balance performance and privacy.

By
Shubham Sawarkar
Shubham Sawarkar's avatar
ByShubham Sawarkar
Editor-in-Chief
I’m a tech enthusiast who loves exploring gadgets, trends, and innovations. With certifications in CISCO Routing & Switching and Windows Server Administration, I bring a sharp...
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Jun 13, 2024, 3:06 PM EDT
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A slide from Apple's WWDC 2024 event. Text boxes promote features including "A more personal Siri," “Private Cloud Compute,” “Reduce Interruptions,” “Image Playground,” “Genmoji,” “Summaries in Messages,” "Clean Up in Photos," "Image Want," "Audio Recording summaries," "Priority Notifications," "Priority messages in Mail," “Natural language search,” and big one box in the middle promote features "Apple Intelligence."
Image: Apple
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Apple announced a new suite of AI features called Apple Intelligence at its recent developer conference. This suite promises to do everything from rewriting emails to creating custom emojis, all while keeping your data secure.

Here’s a breakdown of how Apple is trying to achieve this:

  • On-device AI: Apple uses small, specialized AI models directly on your iPhone, iPad, or Mac. This keeps your data private because it never leaves your device. However, these models are less powerful than what competitors offer in the cloud.
  • Fine-tuning: Apple trains these models for specific tasks, like summarizing text or proofreading emails, making them more effective.
  • Apple Silicon: Apple’s custom chips include a Neural Engine specifically designed for AI tasks, which helps these on-device models run faster.

However, some tasks require more powerful models than what can fit on your device. Here’s how Apple handles those:

  • Private Cloud Compute (PCC): When a complex request needs more power, Apple sends it to special cloud servers called PCC. These servers are secured with layers of encryption and have no access to user data beyond the specific request.
  • End-to-end encryption: All communication between your device and PCC is encrypted, ensuring no one can intercept your data.
  • No persistent storage: PCC servers don’t store any data after processing the request. This means your information is deleted as soon as it’s used.
  • Open to inspection: Apple plans to make a virtual version of PCC available for public scrutiny, allowing experts to verify its security claims.
Apple's Private Cloud Compute
Image: Apple

There are still some unknowns:

  • What triggers cloud processing? We don’t yet know exactly how complex a request needs to be before it gets sent to the cloud.
  • Offloading to ChatGPT: For some “world knowledge” questions, Apple will use OpenAI’s ChatGPT service, shifting the privacy responsibility to OpenAI.

Apple’s approach is unique in its focus on privacy. While Google and Microsoft offer similar AI features, they don’t necessarily prioritize user data security to the same extent.

The real test will come when Apple Intelligence launches this fall. Can Apple deliver a balance of powerful AI features and strong privacy protections? We’ll have to wait and see.


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Topic:Apple IntelligenceApple M1Apple M2Apple M3 chipApple M4 chipApple Mac StudioApple siliconiMaciPad AiriPad ProiPhone 15LaptopMac miniMac ProMacBookMacBook AirMacBook Pro
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