"Borrowing a Chicken to Lay Eggs"? Apple Secures Google Gemini License: Crafting the Strongest On-Device AI Through Model "Distillation"

marsbitPubblicato 2026-03-26Pubblicato ultima volta 2026-03-26

Introduzione

Apple has reportedly secured full access to Google's Gemini model, not for simple API integration, but to perform "model distillation"—a technique that allows Apple to train smaller, more efficient on-device AI models by learning from Gemini’s advanced reasoning processes. This approach enables Apple to develop localized AI systems that operate entirely on-device, improving speed and safeguarding user privacy. The distilled models are expected to power a significantly upgraded Siri in iOS 27, enabling deeper interaction, complex question-answering, document understanding, and practical task execution—all without requiring cloud connectivity. While leveraging Google’s model in the short term, Apple continues to develop its own foundational AI models internally, adopting a dual strategy of near-term collaboration and long-term independence. This move represents Apple’s effort to balance cutting-edge AI performance with its strict privacy and efficiency standards, potentially reshaping the landscape of on-device artificial intelligence.

To completely rid Siri of the "artificial stupidity" label, Apple has chosen a technical shortcut of "leveraging strength through borrowing."

According to the latest reports, Apple has obtained full access to the Google Gemini model. The core of this collaboration is not merely about API integration, but rather permits Apple to utilize Gemini's powerful computing capabilities for "model distillation," thereby tailoring smaller, smarter, localized AI models for its devices.

Technical "Distillation": Packing a Cloud Brain into the iPhone

The so-called "distillation" technology can be understood as having a "genius teacher" personally instruct an "average student":

Extracting the Essence: Apple queries the main Gemini model and obtains its detailed reasoning processes, allowing its self-developed smaller model to learn its internal computation methods.

Reducing Costs and Increasing Efficiency: After training, Apple's smaller model can achieve performance close to that of large cloud models with minimal computing power requirements.

Localized Security: These models can run on-device without needing an internet connection, enhancing response speed while perfectly upholding Apple's pride in user privacy.

See You in iOS 27: The New Generation Siri Receives a "Dimensionality Reduction Strike"

Leveraging this collaborative framework, the new Siri expected to launch with iOS 27 will possess completely revamped capabilities:

Deep Interaction: Able to answer complex questions, provide emotional support, and even tell stories to users.

All-in-One Assistant: Equipped with practical operational abilities like scanning and understanding documents, summarizing information, and booking travel with one click.

Highly Customized: Apple has the right to edit and adjust Gemini to ensure its response style highly aligns with the Apple user experience.

Walking on Two Legs: Apple Never Gave Up "Going It Alone"

Although currently relying on Google's support for "intelligence," Apple has not put all its eggs in one basket.

Its internal Apple Foundation Models team is still pushing forward with full force on independent, self-developed AI models. This indicates Apple is adopting a strategy of "short-term borrowing, long-term self-reliance," quickly capturing the market using third-party mature technology while building its own core foundational model system.

From cloud "distillation" to local operation, Apple is attempting to find that perfect balance between privacy, efficiency, and cutting-edge AI capability through this unique approach. When your iPhone possesses an offline "Gemini-level" brain, the AI competition in mobile devices will truly have entered the second half.

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Domande pertinenti

QWhat is the core of the collaboration between Apple and Google Gemini?

AApple has obtained full access to Google's Gemini model, allowing it to use 'model distillation' to create smaller, smarter on-device AI models.

QHow does the 'distillation' technology work in this context?

AIt involves Apple using the full Gemini model to generate detailed reasoning processes, which its smaller models then learn from, enabling high performance with low computational demands.

QWhat are the expected capabilities of the new Siri in iOS27?

AIt is expected to handle complex queries, provide emotional support, tell stories, scan and understand documents, summarize information, and perform tasks like booking travel, all while running locally on the device.

QWhy is Apple pursuing this collaboration instead of relying solely on its own AI development?

AApple is adopting a 'short-term borrowing, long-term self-development' strategy, using third-party technology to quickly enter the market while continuing to develop its own core foundation models internally.

QWhat are the main benefits of running AI models locally on devices like the iPhone?

ALocal operation improves response speed, reduces the need for cloud connectivity, and enhances user privacy by keeping data on the device.

Letture associate

In Jinjiang, Fujian, a Storage Super Unicorn Lies Quiet

In Fujian's Jinjiang, a city known for sportswear, lies a quiet semiconductor giant: Fujian Jinhua Integrated Circuit Co. (JHICC). Once a promising domestic DRAM manufacturer alongside Yangtze Memory and ChangXin Memory Technologies (CXMT), its journey was derailed in 2018 when the U.S. placed it on an Entity List and filed criminal charges for alleged trade secret theft. This halted production for years. A turning point came in February 2024 when a U.S. federal court found JHICC not guilty. However, it had lost crucial time. While CXMT soared to become a top-valued A-share company in 2024, JHICC, with an estimated valuation of 80 billion RMB, was just restarting. Its current output is primarily customized DDR4 chips, not the advanced DDR5/HBM demanded for AI, but it still benefits from the broader memory chip upcycle. JHICC's story is tied to Chen Zhengkun, a veteran engineer who left Micron to lead the venture. Founded in 2016 with state-backed funding, JHICC partnered with Taiwan's UMC to develop DRAM technology. Rapid progress was cut short by the U.S. actions, which Micron initiated, partly due to its heavy reliance on the Chinese market. Post-sanctions, Chen's team worked to rebuild the production line with reduced reliance on U.S. technology. According to its records, JHICC achieved small-scale production and revenue growth under immense pressure. It now focuses on the stable "niche" DRAM market (e.g., TVs, routers) with a monthly capacity of ~40,000 wafers, aiming for 60,000 by 2026. It holds over 1,000 patents but remains on the Entity List. For Jinjiang, investing in JHICC was a bold industrial leap. The local government provided unwavering financial and logistical support during the crisis, helping the company survive. JHICC has become the anchor for a growing local semiconductor cluster. Though its scale lags behind domestic peers, JHICC's persistence symbolizes a hard-won foothold in a global market long dominated by Samsung, SK Hynix, and Micron. Having missed one boom, it seeks a place in the new AI-driven memory supercycle.

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Must-Watch Events Next Week|CLARITY Act Could Face Senate Vote; SpaceX, Circle to Report Earnings (8.3-8.9)

**Summary: Key Events and Developments to Watch (August 3-9)** The upcoming week is marked by significant financial disclosures, key legislative deadlines, and notable product updates. **Major Financial Events:** Several companies are scheduled to release their Q2 2026 earnings. American Bitcoin (ABTC) will report on August 3, followed by SpaceX and Hut 8 Mining Corp. on August 4, and Circle on August 5. Notably, a significant portion of SpaceX shares (up to 12% of total shares) will be unlocked on August 6 following their earnings release. **Key Legislative Deadline:** The U.S. Senate faces an August 7 deadline to secure 60 votes for the CLARITY Act, a bipartisan bill aiming to establish a federal regulatory framework for cryptocurrencies. The Senate may hold a full vote on the bill during the week. **Economic Data:** The U.S. July Non-Farm Payrolls report will be released on August 7, providing crucial labor market data. **Technology & Product Updates:** * **Shutdowns:** DeFi portfolio tracker Zapper and wallet app Ctrl Wallet will cease operations on August 3. * **Upgrades:** LayerZero will deprecate its v1 relayers on August 3. XRP Ledger's new version 3.3.0, featuring five new functions, is expected next week. * **AI:** Elon Musk announced that the advanced Grok 4.6 AI model is set for release around August 7. * **Bitcoin:** The BIP-110 forced signaling for a potential Bitcoin network change is scheduled to begin around August 8. **Other Notable Events:** Chinese robotics firm Unitree Tech has set its preliminary price inquiry for its IPO for August 5. South Korean exchange Upbit will delist AQT and AERGO tokens on August 3.

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