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Apple Close to $1B Google Deal for Siri Upgrade

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Apple is close to making a deal to pay Google about $1 billion every year to use Google’s Gemini artificial intelligence model to improve Siri, according to a report from Bloomberg. The agreement would give Apple access to a custom version of Google’s AI as the company works on upgrading its voice assistant for future iPhones and other devices.

Apple plans to use Google’s AI model for now while it continues to develop its own AI system. The report says Apple’s current technology is not yet strong enough to handle the big features it wants to add to Siri. Using Google’s Gemini would help Siri answer questions better and respond in a more natural way.

The custom AI model that Apple would use has 1.2 trillion parameters, which is a way to measure how capable an AI system is. For comparison, Apple’s present cloud-based AI uses 150 billion parameters, making Google’s model much larger and more advanced.

Apple also tested other AI models from OpenAI and Anthropic earlier this year. After comparing their performance, Apple decided that Google’s model worked best for what it needed.

The new version of Siri is expected to be released next spring, but the plan could still change before launch. The deal is not final yet, and both companies are still working on details. If the agreement goes through, it would mark a major step in Apple’s move to improve its AI features.

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Written by
Bryan Aliwalas

Bryan Aliwalas

Senior Writer

Bryan Aliwalas, a Multimedia Producer and tech content creator at YugaTech, where he has been creating technology and gaming content since 2019. With experience covering smartphones, tablets, gaming devices, and consumer technology, he produces reviews, hands-on features, guides, and multimedia content aimed at helping readers and viewers better understand the latest devices and tech trends. His work spans both gaming and consumer tech, combining practical experience with a passion for making technology more accessible and engaging.

View all posts by Bryan Aliwalas →

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