The recent report on Apple’s move to enhance its AI capabilities in order to stay competitive was published by The New York Times. According to individuals familiar with the situation, the company’s top brass decided to revamp Siri early last year.
Apple’s senior vice president of software engineering Craig Federighi and the senior vice president of machine learning and AI strategy, John Giannandrea, apparently spent several weeks checking out OpenAI’s ChatGPT to comprehend how Siri could be brought up to date. Siri had allegedly received little love and few resources in comparison to Apple’s other divisions.
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It has also been difficult to recruit and retain top AI talent. Apple executives were worried about how advances in AI might support other platforms with a large number of AI-powered applications, rendering the iPhone less appealing in progress. This constitutes a risk to the App Store ecosystem. They were concerned that the iPhone would no longer be a standout among other tech offerings, with the ability to distinguish itself or be overlooked.
Since it looks, from the outside, like everyone else makes their own AI, too. It had a tremendous influence on AI at Apple, resulting in a massive overhaul and a steadfast resolution to build AI. Apple, as gossip indicated, had more people and money to devote to applications for its present AI projects as well as new ones, a necessity that was only made possible by the abandonment of the electric car Project. Insiders tell us that the next iPhone 16 models, which are scheduled to be released in September, will contain even more memory, as one example of this in order to benefit more from its novel AI tools.
Apple will announce several AI improvements slated to make their first appearance at the next WWDC keynote on June 10, including a rebuilt Siri that can interact naturally and conversationally. New Siri will become better at timer setting, appointment scheduling, Reminder management, and text summarization. Apple plans to market the new Siri as a privacy-focused alternative to competing AI services, as most of the processing will occur on-device rather than in remote data centers.
