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Apple's generative AI push includes Xcode tools, auto-summarizing features in apps

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Apple's efforts to catch up with competitors in the field of generative AI will include tools for creating apps in Xcode, as well as other additions to its productivity app suite.

The rapid growth and massive impact of ChatGPT and the work of tech rivals like Google improving their AI efforts has left observers with the impression that Apple is behind the curve for the technology. However, Apple could end up introducing some of its efforts to the public and developers by the summer.

According to Mark Gurman in the "Power On" newsletter for Bloomberg, Apple is planning to show off its work at WWDC in June, with changes made as part of iOS 18.

The features list will include elements such as adding auto-summarizing and auto-compete tools to core apps from the iPhone maker, including Pages and Keynote. Apps like Apple Music will also gain AI elements, for example by automating playlist creation, while Siri will be receiving a "big overhaul."

The changes won't be limited to just public-facing elements, with developers thought to benefit from an updated version of Xcode. This time around, there should be tools that use AI to complete code for developers, easing the development of future apps.

AppleCare employees may also benefit from the changes, with an AI-based troubleshooting system apparently in development.

Apple's intention for generative AI won't be implemented immediately, with it potentially taking until 2025 for Apple to fully realize its vision.

While the user-accessible features are apparently on the way, other reports have pointed to Apple's other work to improve its generative AI offerings.

In December, it was reported Apple had contacted news publishers to gain access to archived content, specifically to train its AI systems. Rather than scrape content, Apple instead wanted to pay for access.

A paper was also released in the same month, demonstrating ways to create "Human Gaussian Splats," or digital avatars of people. The process used as few as two seconds of video as a source, with it producing an avatar within 30 minutes.