Artificial intelligence continues to transform digital assistants, with Apple preparing significant upgrades to Siri that will leverage large language models (LLMs) and enhanced AI capabilities.
Current developments: Apple is actively developing an upgraded version of Siri powered by advanced large language models, while simultaneously rolling out interim improvements through iOS 18.
- The company is currently testing a separate app containing the new LLM-powered Siri functionality
- Recent iOS 18.1 updates have already introduced improvements to Siri’s product knowledge and command handling
- ChatGPT integration is planned for iOS 18.2, scheduled for release in December
Technical specifications: The new LLM Siri represents a significant architectural shift in how Apple’s digital assistant processes and responds to user inputs.
- The system will utilize new Apple AI models to enable more human-like interactions
- Enhanced App Intents integration will allow for more precise control of third-party applications
- The platform will incorporate Apple Intelligence features, including text generation and summarization capabilities
Timeline and implementation: While the new LLM Siri will be announced as part of iOS 19 and macOS 16, its actual release schedule extends beyond the initial software launch.
- Official announcement expected at WWDC 2025 in June
- Full deployment planned for spring 2026
- Interim updates through iOS 18.3 will gradually introduce new capabilities, including improved app actions and personal context understanding
Strategic positioning: Apple’s approach emphasizes privacy while bringing advanced AI capabilities in-house.
- The company aims to match functionality currently offered by ChatGPT and Google’s Gemini
- Privacy benefits are being positioned as a key differentiator from competitors
- The development represents Apple’s push to maintain competitive parity in the AI assistant space
Market implications: The extended timeline between announcement and release suggests Apple is taking a measured approach to ensure reliability and performance while potentially setting new expectations for AI assistant capabilities in the consumer market.
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