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The Decoder

Google files first joint lawsuit with FBI over Chinese AI scam network, OpenAI blocks PRC influence clusters The AI industry's platform trap is starting to look a lot like Microsoft's OpenAI buys Ona to push Codex toward long-running, autonomous coding tasks Jeff Bezos' AI startup Prometheus closes $12 billion round at a $41 billion valuation Free Deezer tool lets users on any streaming service check their playlists for AI music OpenAI vs. Anthropic: A price war over API tokens is brewing Dario Amodei's new essay reads like a Cold War playbook for the AI age Claude Fable 5: Anthropic admits "wrong tradeoff" after invisibly throttling rival AI researchers Google's new open model DiffusionGemma generates text from noise instead of word by word OpenAI's IPO slips as Altman tells staff to expect a public offering "within the next year" Anthropic study shows AI needs hours, not weeks, to build exploits from security patches OpenAI wants its biggest data center yet, and Nvidia would back the bill Claude Fable 5: The first Mythos model is powerful, expensive, and heavily filtered Germany's National Security Council greenights an AI Safety Institute modeled after the UK's AISI Google's NotebookLM now runs its own cloud computer with code execution and agent-based research Anthropic releases Claude Fable 5 and Mythos 5 with major gains in coding and science Google's Gemini 3.5 Live Translate delivers real-time voice translation across 70+ languages SpaceX wants to put data centers in orbit, and Musk says it's no big deal Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers Beijing's $295 billion AI buildout would require 80 percent domestic chips, locking out US suppliers OpenAI now says "entirely automating everything is not the future we want" OpenAI says going public is "a complicated set of tradeoffs" and is unsure about the timing Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators Intel gets a second life as Google and Nvidia explore it as a TSMC backup for AI chips Most companies are flying blind on AI spending Frontier Radar #3: How agentic AI is turning tokens into a business metric Instagram AI chatbot breach may have affected over to 20,000 accounts, Meta discloses Microsoft tightens rules for conflict zones after investigation into Israel's military use of Azure Moonshot AI targets a $30 billion valuation, more than six times its late-2025 worth Deepseek topped Ramp's trending software vendors in June 2026 as US companies chase cheaper AI
Apple Intelligence gets a second shot with help from Goog...
Maximilian Schreiner · 2026-06-09 · via The Decoder

At WWDC 2026, Apple showed off a rebuilt version of Siri. The assistant runs on foundation models developed with Google. For complex queries, it taps Nvidia GPUs.

Apple used this year's Worldwide Developers Conference to unveil the next generation of Apple Intelligence and a ground-up rework of Siri. Marketed as "Siri AI," the new assistant can execute system-wide actions, read on-screen content, and pull personal context from messages, emails, and photos, according to Apple. A dedicated Siri app syncs conversations across all devices via iCloud.

Foundation models built with Google, cloud powered by Nvidia

Apple developed its "Apple Foundation Models" in close collaboration with Google, building on Gemini technology. During a Tech Talk after the keynote, Craig Federighi clarified just how far the partnership actually goes: "The amount of the Google Assistant we use is none." Apple doesn't use the Gemini app, the models Google ships to its own customers, or Google Search as a knowledge base. For world knowledge, Apple relies on its own "World Knowledge Service," which the company says it built over several years.

The third generation of AFM consists of five models: The four smaller ones - AFM Core, AFM Core Advanced, AFM Cloud, and AFM Cloud Image - were trained entirely for Apple Silicon and only "refined using outputs from Gemini frontier models," said Apple's AI lead Amar Subramanya. Only the top-tier model, AFM Cloud Pro, actually runs on Nvidia GPUs inside Apple's Private Cloud Compute infrastructure, which has been expanded into Google Cloud for that purpose. Subramanya told CNBC that AFM Cloud Pro is comparable in quality to Google's Gemini frontier models. No benchmarks have been released yet.

A "System Orchestrator" decides whether a query gets processed locally or in the cloud. Federighi called this router central to the system's privacy architecture.

Visual Intelligence, auto password changes, and app integrations

The camera module gets a new Siri mode too. Users can point at a restaurant receipt to split the bill with Apple Cash or aim at a plate to get nutritional info. Visual Intelligence is also coming to visionOS.

Apple Intelligence will also be able to change compromised passwords automatically. The agent navigates through the relevant website, logs in, and saves the new password in the Passwords app. Apple hasn't said how reliably this works in practice.

Other app integrations include Safari with "Notify Me" and tab organization, a new Image Playground app, Spatial Reframing in Photos, AI video descriptions for HomeKit Secure Video clips, and summarized notifications in the Home app.

For developers, Apple is opening up the Foundation Models Framework, which now supports image inputs, custom skills, and server-side model execution. Xcode gets an expanded coding assistant for agentic workflows.

12 GB of RAM required, and no EU launch on iPhone or iPad

The most capable on-device model requires an iPhone 17 Pro or iPhone Air, an iPad with M4 and at least 12 GB of RAM, or a Mac with M3 and 12 GB of RAM. The standard iPhone 17 doesn't qualify with its 8 GB. Neither does the iPhone 16 Pro Max. Without the right hardware, many features are only available through Private Cloud Compute with higher latency.

Geographically, Siri AI is limited to English-speaking markets for now. In the EU, the feature won't launch on iOS or iPadOS at all. Apple blames the Digital Markets Act in a dedicated Newsroom post. Apple's reading of the regulation: the company would have to grant any third-party virtual assistant the same access Siri AI has, like reading and sending messages, making purchases, accessing files, and triggering actions across all apps. Security researchers have already shown that AI systems like these can be hijacked to steal passwords and photos or change account and file settings without consent.

As a compromise, Apple proposed a "Trusted System Agent" - a middleware layer that would securely give third-party assistants the same capabilities, paired with an 18-month phased rollout. The European Commission rejected that proposal, along with every other one Apple put forward. Apple hasn't given a timeline for bringing the feature to iPhone and iPad in the EU.

macOS 27 and visionOS 27 will get Siri AI in the EU, though. That's because the DMA's scope only designates iOS and iPadOS as core platform services of a gatekeeper. macOS and visionOS aren't designated, so they aren't subject to the interoperability rules that would force Apple to open up to rival assistants. The Apple Watch is collateral damage: watchOS 27 requires a paired iPhone with Siri AI active, which EU users won't have. EU developers can't test or integrate the new Siri AI features on iOS, iPadOS, or watchOS either.

A second attempt after a broken promise

Almost two years ago, Apple announced a personalized Siri with screen context and app actions at WWDC 2024, originally planned for iOS 18. The capabilities shown now - arriving very late and after major internal power struggles - largely cover what Apple demoed back in 2024. Tim Cook, who steps down as CEO in September and hands the role to John Ternus, opened the keynote one last time.

Apple's executives made a point of drawing a line between their strategy and the competition's. "Some appear to be racing forward, seemingly pursuing AI for the sake of AI, without clear regard for the people that it's ultimately meant to serve," Federighi said. Apple is positioning itself as the counterpoint to OpenAI, Anthropic, and Google: instead of pouring money into its own frontier models and massive data centers, the company is betting on a mix of licensed model expertise (Gemini technology), its own silicon optimization, and the privacy story around Private Cloud Compute.

Federighi told CNBC that unlike web-based assistants, Apple collects very little user data. Instead, it uses locally stored information like calendars and messages for personalization.

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