Siri & Apple Intelligence: What’s Next?

by Priyanka Patel

Apple’s AI-Powered Siri and Search Engine Poised for Spring Launch

Apple users may finally get thier hands on a dramatically improved Siri – and a brand new AI search engine – as early as March. After over a year of development and notable engineering hurdles, the tech giant is on track to deliver a major overhaul of its virtual assistant and introduce a competitive generative AI search product.

The long-awaited upgrades to Siri, first unveiled at WWDC 2024, promise a more intuitive and powerful user experience. These enhancements, built with Apple Intelligence, include features like personal context – allowing Siri to understand information on your device – on-screen awareness, enabling the assistant to interpret what’s displayed, and the ability to take action in apps without requiring users to manually navigate between them.

Initially slated for release in iOS 18.4, the rollout faced delays due to technical challenges within the Siri engineering stack. Apple responded by essentially rewriting Siri from the ground up, leveraging a new infrastructure based on Large Language Models (LLMs). Currently, the company is evaluating the use of Google Gemini to power these features, utilizing Private Cloud compute to ensure user data remains private and is not shared with Google.

According to reporting from Macworld’s Filipe Esposito, uncovered Apple code suggests the new siri features are now on track for inclusion in iOS 16.4. This timeline aligns with reports from Bloomberg’s Mark Gurman regarding Apple’s development of a generative AI search engine.

Did you know? – Apple first previewed the advancements to Siri and its AI capabilities at the Worldwide Developers Conference (WWDC) in June 2024. The initial release was delayed due to engineering complexities, prompting a significant rewrite of the assistant’s core code.

A New search experience: World Knowledge Answers

Beyond Siri, Apple is developing its own AI-driven search engine, internally codenamed World Knowledge Answers (WKA). This ambitious project, initiated in August, aims to directly compete with established players like Perplexity and OpenAI’s ChatGPT. gurman’s reporting indicates a potential debut alongside iOS 16.4 in March.

“Apple has used this opportunity to rebuild the assistant to create a new search product,” a source familiar with the project stated. The new search functionality is also expected to eventually integrate with Safari and Spotlight search, offering a unified AI-powered search experience across Apple’s ecosystem.

Pro tip – Apple is prioritizing user privacy by utilizing “Private Cloud Compute” when evaluating Google’s Gemini AI model.This ensures that user data remains on apple’s servers and isn’t shared with Google.

Release Timeline: March or April

while a firm release date for iOS 16.4 remains unconfirmed, historical patterns suggest a launch in either March or April. This woudl mean the first beta version could arrive as early as next month, potentially offering a first glimpse of the revamped Siri within the next six weeks. The convergence of the Siri upgrades and the new AI search engine promises a significant leap forward for Apple’s software capabilities, positioning the company to better compete in the rapidly evolving landscape of artificial intelligence.

Why: Apple is upgrading Siri and launching a new AI search engine to enhance user experience and compete in the rapidly evolving AI landscape. The initial release of these features was delayed due to technical challenges with Siri’s underlying code.

Who: the key players are Apple, its engineering teams, and potential partners like Google (Gemini AI). Reporting comes from Filipe Esposito (Macworld) and Mark Gurman (Bloomberg).

What: Apple is releasing major upgrades to Siri, including personal context, on-screen awareness, and in-app action capabilities.They are also launching “World Knowledge Answers” (WKA), an AI-driven search engine to rival Perplexity and ChatGPT.

How: Apple rewrote Siri using Large Language Models (LLMs) and is evaluating Google Gemini with Private Cloud

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