惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

人人都是产品经理
人人都是产品经理
有赞技术团队
有赞技术团队
WordPress大学
WordPress大学
月光博客
月光博客
T
Tailwind CSS Blog
阮一峰的网络日志
阮一峰的网络日志
小众软件
小众软件
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Last Week in AI
Last Week in AI
大猫的无限游戏
大猫的无限游戏
S
SegmentFault 最新的问题
罗磊的独立博客
Jina AI
Jina AI
酷 壳 – CoolShell
酷 壳 – CoolShell
宝玉的分享
宝玉的分享
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 三生石上(FineUI控件)
量子位
雷峰网
雷峰网
Apple Machine Learning Research
Apple Machine Learning Research
美团技术团队
博客园 - 聂微东
V
V2EX

Ars Technica - All content

Pentagon wants $54B for drones, more than most nations’ military budgets Mozilla: Anthropic's Mythos found 271 security vulnerabilities in Firefox 150 Supreme Court arguments make it clear that FCC fines are "nonbinding" Silo S3 teaser hints at the wasteland's origins Framework's CEO on the RAM crisis and creating a "MacBook Pro for Linux users" Florida probes ChatGPT role in mass shooting. OpenAI says bot "not responsible." Report: Meta will train AI agents by tracking employees' mouse, keyboard use Microsoft removes Call of Duty from Game Pass, lowers subscription pricing Framework Laptop 13 Pro is a major overhaul for the modular, upgradeable laptop Framework Laptop 16 upgrades make it look less like an unfinished prototype Internal emails show how Amazon raises prices across the Internet, lawsuit says Anthropic gets $5B investment from Amazon, will use it to buy Amazon chips CATL's new LFP battery can charge from 10 to 98% in less than 7 minutes AMD Ryzen 9 9950X3D2 Dual Edition review: Tons of cache for tons of dollars What's the deal with spacesuits for the Moon? Will they be ready in time? Loneliness in older adults can often lead to memory impairment Contrary to popular superstition, AES 128 is just fine in a post-quantum world Pentagon pulls the plug on one of the military's most troubled space programs John Ternus will replace Tim Cook as Apple CEO Blue Origin's rocket reuse achievement marred by upper stage failure I’ve fired one of America’s most powerful lasers—here’s what a shot day looks like Great white sharks are overheating US-sanctioned currency exchange says $15 million heist done by "unfriendly states" Man with @ihackedthegovernment Instagram account tells judge, “I made a mistake" Trump picks qualified, normal health leader to head CDC; experts still cautious $25,000 buys plenty of used EVs: Here are some options Satellite and drone images reveal big delays in US data center construction Amazon won’t release Fire Sticks that support sideloading anymore Ridley Scott's post-apocalyptic The Dog Stars drops first trailer Artemis II pilot talks about what it was really like to fly and land in Orion
Apple working to cram massive Gemini model into iPhone to...
Ryan Whitwam · 2026-05-29 · via Ars Technica - All content

It’s impossible to totally avoid generative AI when interacting with technology anymore, but Apple has a bit less of it. That’s not entirely by choice, though. The iPhone maker has delayed the AI-enhanced Siri multiple times since first promising it in 2024, but a deal with Google will merge the iconic assistant with Gemini later this year. As we approach the Worldwide Developers Conference, Apple has been working to bring big AI smarts to the modest processing environment of a smartphone. Apple fans may not like the outcome, though.

Apple has long crowed about the privacy value of running AI locally, but a new report suggests that despite Apple’s best efforts, the iPhone’s Gemini makeover will lean heavily on Google and Nvidia in the cloud. The Information reports that Apple’s Gemini-infused Siri will run both on-device and in the cloud, an apparent reversal of its privacy-focused preference for local AI.

With every new chip announcement, we hear about how the silicon has been optimized for AI—even Apple does this with its focus on Neural Engine upgrades. You may think from the grandiose language that smartphones are equipped to handle beefy AI models, but that’s not necessarily the case. In fact, the GPUs in most phones can process more AI tokens than the AI-focused NPUs. Components like Apple’s Neural Engine are designed for contextual, efficient AI processing. Even if phones had faster AI processing, they lack the RAM to keep enormous models in memory.

Even the largest AI models are still middling assistants, and that makes local AI very challenging. The AI models that run on phones are physically smaller, featuring at most a few billion parameters. Compare that to Google’s latest Gemini models, which have trillions of parameters, The Information reports. On-device AI models are also “quantized” to run at lower precision, making them faster but affecting the accuracy of token generation. This all adds up to AIs that feel less smart than their cloud brethren, and even big cloud-based models can be pretty dumb sometimes.

The amazing, shrinking Gemini

Google has versions of Gemini optimized for mobile devices, which it calls Gemini Nano. However, these are designed for powering contextual features like Magic Cue and audio summarization. Siri, on the other hand, is supposed to be a conversational assistant—you talk to it and it does things. That’s a different experience that requires a different kind of model. On Android, Google doesn’t even bother trying to do that locally. Talking to Gemini always goes straight to the cloud.