Apple will unveil a major Siri upgrade powered by Google's Gemini technology at WWDC 2026, according to reports. The company is also launching a standalone Siri app to compete with ChatGPT and Claude, plus an AI agent integration in the App Store.
Apple will process some Siri queries using Nvidia's Blackwell B200 data center GPUs deployed in Google Cloud, according to The Information. The company plans to use Nvidia's confidential compute feature to encrypt data during processing on the chips.
Apple plans to significantly improve the visual quality of its on-device image generation models for Genmoji and Image Playground in iOS 27, according to Bloomberg's Mark Gurman. The update will also add support for third-party AI image generation models beyond OpenAI's ChatGPT.
Apple confirmed in January 2026 that Google's Gemini AI models will power new Siri features, ending speculation about the company's AI assistant strategy. The integration will bring personal intelligence features that pull information from Apple apps like Mail, Calendar, Photos, and Notes, along with task automation and improved voice input.
Apple released Xcode 26.5 with two new Coding Intelligence features: the ability to queue multiple messages to AI coding assistants without waiting for responses, and agent support for asking clarifying questions before executing tasks. The update builds on agentic coding capabilities introduced in Xcode 26.3, which allowed developers to integrate tools like OpenAI Codex and Anthropic's Claude directly into the IDE.
Apple will allow iPhone users to select from multiple third-party AI models to power system features in iOS 27, launching later this year. The feature, called 'Extensions,' will integrate models from Google and Anthropic into Siri, Writing Tools, Image Playground, and other Apple Intelligence features.
Apple is planning to allow users to select their preferred AI model for Apple Intelligence features in iOS 27, iPadOS 27, and macOS 27 this fall. According to Bloomberg's Mark Gurman, the company is internally testing integrations with Google and Anthropic's models, expanding beyond the currently available ChatGPT integration.
Apple plans to introduce an Extensions system in iOS 27, iPadOS 27, and macOS 27 that will allow users to select third-party AI models for generative AI tasks. AI companies can opt in through App Store programs to power Apple Intelligence features including Siri, Writing Tools, and Image Playground.
Apple will allow iOS 27 users to select third-party AI models from companies like Google and Anthropic to power Siri, Writing Tools, and other Apple Intelligence features. The new "Extensions" system lets users choose which AI model responds to queries, with support for custom Siri voices per model.
Apple researchers, alongside UC San Diego, have published LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning, a framework that combines diffusion models with autoregressive generation. The system runs multiple reasoning paths in parallel during inference, each exploring different possibilities before generating a final answer.
Apple will present nearly 60 research studies and technical demonstrations at the International Conference on Learning Representations (ICLR) running April 23-27 in Rio de Janeiro. Demos include the SHARP model that reconstructs photorealistic 3D scenes from a single image in under one second, running on iPad Pro with M5 chip.
Twelve major technology companies—including Apple, Google, Microsoft, Amazon, and Nvidia—have launched Project Glasswing, a coordinated effort to identify and patch critical software vulnerabilities using Anthropic's unreleased Mythos Preview model. The initiative discovered thousands of zero-day vulnerabilities in mission-critical software, including a 27-year-old bug in OpenBSD and a 16-year-old vulnerability in widely-used video software that automated testing tools had missed.
Apple has secured full access to Google's Gemini models within its data centers and is using knowledge distillation to generate training data for smaller, on-device AI models. The approach allows Apple to create lightweight versions that replicate Gemini's reasoning patterns while running directly on Apple devices, requiring significantly less processing power.
Apple researchers developed RubiCap, a framework for training dense image captioning models that achieve state-of-the-art results at 2B, 3B, and 7B parameter scales. The 7B model outperforms models up to 72 billion parameters on multiple benchmarks including CapArena and CaptionQA, while the 3B variant matches larger 32B models, suggesting efficient dense captioning doesn't require massive scale.
Apple has asked Google to set up servers specifically for hosting a new Gemini-powered version of Siri that meets Apple's privacy requirements, according to The Information. This represents a deeper infrastructure partnership beyond the January announcement that Google's Gemini models would power upgraded Siri features.
Apple researchers have identified a fundamental limitation in speech-adapted large language models: they consistently underperform their text-based counterparts on language understanding tasks. The team terms this the 'text-speech understanding gap' and documents that speech-adapted LLMs lag behind both their original text versions and cascaded speech-to-text pipelines.
Apple Intelligence, which automatically summarizes notifications and messages on hundreds of millions of devices, systematically generates stereotyped and hallucinated content according to an independent AI Forensics investigation. The analysis of over 10,000 AI-generated summaries reveals bias baked into the feature that pushes problematic assumptions to users unprompted.