Apple revealed a series of technical updates during its annual developer conference, focusing on enhancing the daily user experience without getting swept up in the race for massive promises in the field of artificial intelligence adopted by competing companies.
Craig Federighi, Apple's Vice President of Software Engineering, announced that Apple will make the fundamental AI model it uses in some of its features available to third-party developers.
The move aims to empower partners to seamlessly integrate artificial intelligence into their applications.
Integration of ChatGPT and improvements for Siri
Among the first examples of integration with external tools, the image generation technology from ChatGPT was introduced into the 'Image Play Ground' app, with Apple confirming that user data will not be shared with 'OpenAI' without the user's consent.
New design in operating systems: 'Liquid Glass'
Apple announced a radical change in the design of its operating systems, called 'Liquid Glass', which includes transparent interfaces and modern icons.
Federighi stated that the new design is made possible by the evolution of Apple's custom processors, and it will extend to include iOS, macOS, and more.
The company also announced the unification of its operating system names using release years instead of scattered numbers, to facilitate differentiation between them.
New features: call answering and live translation
Among the practical features introduced by Apple is the 'auto-reply' feature, where the phone answers calls from unknown numbers and asks the caller to clarify the reason for the call, then displays the text to the user before deciding to respond.
The company also introduced a live translation feature for phone calls that works even if the caller is not using an iPhone, enhancing multilingual communication capabilities.
Improvements to the Visual Intelligence app
Apple expanded the capabilities of the 'Visual Intelligence' app, enabling it to analyze elements displayed on the phone screen and link them directly to shopping applications.
For example, the app can recognize a jacket displayed on a website and suggest purchasing it from another app installed on the device.
