Here comes AI: Apple Intelligence

Apple Intelligence employs a dual strategy involving both local, on-device models and cloud-based models. This hybrid approach allows for efficient processing: tasks are handled on-device whenever possible, ensuring privacy, while more resource-intensive tasks are offloaded to the cloud with minimal data transfer. This method mirrors Google’s strategy with Android but is distinct in its robust privacy measures.

Apple distinguishes itself by training its models using publicly available and licensed data, allowing companies to opt out of having their data used. This ethical approach contrasts with the less transparent data sourcing practices of competitors like OpenAI and Google, showcasing Apple’s commitment to responsible AI development.

Apple is considered the laggard in the industry when it comes to releasing a product that competes against OpenAI and Microsoft's ChatGPT, Google's Gemini, Amazon and Anthropic's Claude, and Perplexity.ai's Perplexity, among others. The lack of an AI-powered chat product left Apple at risk of missing the AI hype train, but last Monday's Apple Intelliggence announcement signaled their entry into the race.

Local, on-device, processing provides Apple Intelligence with access to the user data . The user data remains on the device, nothing is sent to the cloud - which ensures its security and privacy. This is something other cloud-based providers cannot access easily. What this provides is better personalization and contextualization - Apple Intelligence knows its user better than any other"AI" in the market today.

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