Following Apple’s Global Developer Conference (WWDC 25), in a handful of interviews, Apple executives denied that last year’s personalized AI-powered Siri demonstration is a steam engine despite the fact that it has not yet been released.
When asked by the Wall Street Journal why Apple couldn’t make the technology work well with all its engineers and cash, the company refused to admit it was behind the AI race. Instead, Apple’s senior vice president of Software Engineering emphasized that AI is a new technology and that Apple sees as a “long-term transformational wave” that will affect industry and society over the next decades.
“There’s no need to run through the wrong features and the wrong product first,” Federigi pointed out.
Federighi also explained in an interview with Tom’s Guide and Techradar that Apple has shown off their new Siri at WWDC 24.
He said Apple has two versions of Siri’s AI architecture, with the first version (version 1) shown in the video shown in the event. However, as development progressed, the team knew that they needed to move the Version 2 architecture if they wanted to meet customer expectations. This new version is still expected to ship in 2026, Federighi confirmed.
Executives also opposed the idea that Apple did not showcase its functional technology at WWDC 24.
Federighi told the Journal:
“There’s a story out there that’s where it’s demoware. No, as Craig said, we actually thought we’d shipped this year.” Joswiak said Apple has found that Apple has disappointed customers because of the “error rates that it felt unacceptable.”
Executives also spoke more widely about Apple’s AI plans. This is to inject intelligence into the operating system, rather than building a chatbot in ChatGpt or something.
“This wasn’t about us building a chatbot… we didn’t define Apple Intelligence as our chatbot,” Federighi told Tom’s Guide. “It was never our goal… We want to integrate deep, integrated intelligence into the experiences of all platforms in the way of “meet you where you are.”
Apple’s real goal was to leverage the developer foundation model to provide developer tools to build more intelligent apps.
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