Analysis: Apple Pivots Siri to LLMs, Integrating ChatGPT and Planning Gemini Support
Apple built Siri on a command-based architecture, but its in-house model development has fallen behind amid competition in generative AI. The company has therefore combined the unified-memory advantages of Apple Silicon with a shift in resources away from the foundation-model race and toward product applications, seeking to balance on-device performance, privacy and content quality.
After announcing in June 2024 that OpenAI’s ChatGPT would be integrated into Apple Intelligence, Apple went on to plan for a new Siri that would draw on Google Gemini and use NVIDIA’s high-end computing resources. Financial terms for the partnerships have not been disclosed. The central goal is to replace the legacy architecture with an LLM, accelerating contextual understanding and the execution of tasks across apps.
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The history behind this eventApple CEO Ternus Takes On Outsourced AI Strategy, Siri Revamp
John Ternus has taken over as Apple’s chief executive as the iPhone maker seeks to close a widening gap in generative artificial intelligence. He inherits a strategy that leans on outside partners, including Google, rather than relying solely on Apple-built models. The approach is central to a long-delayed Siri overhaul and could reshape how Apple differentiates its devices and services while preserving the margins underpinning its hardware-led business.
Ternus’s first major test will come at Apple’s September product event, when the revamped Siri is set to face public scrutiny. Apple is paying Google about $1 billion a year to use Gemini to power the assistant. While the partnership could accelerate deployment, expanding AI features across Apple’s installed base may leave the company with a steep, recurring bill for cloud infrastructure and inference capacity.
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