Reflection AI Eyes $25 Billion Valuation in Massive $2.5 Billion Funding Round 
Micron Technology Beats Q2 Earnings Estimates, Issues Strong AI-Driven Outlook 
Xiaomi's AI Model "Hunter Alpha" Mistaken for DeepSeek's Next Release 
Amazon's "Transformer" Phone: Can It Succeed Where Fire Phone Failed? 
SK Hynix Eyes Up to $14 Billion U.S. IPO to Fund AI Chip Expansion 
Elon Musk Announces Terafab: SpaceX and Tesla to Build Dual AI Chip Factories in Austin, Texas 
Cyberattack on Stryker Triggers U.S. Government Warning Over Microsoft Intune Security 
Golden Dome Missile Defense: Anduril and Palantir Join Forces on Trump's $185B Space Shield 
Nintendo Switch 2 Production Cut as Holiday Sales Miss Targets 
Palantir's Maven AI Earns Pentagon "Program of Record" Status, Reshaping Military AI Strategy 
OpenAI's Desktop Superapp: Unifying ChatGPT, Codex, and Browser Tools for Enterprise AI 
Super Micro Computer Shares Plunge After Co-Founder Charged in AI Chip Smuggling Case 
Trump White House Unveils National AI Policy Framework for Congress 
Google's TurboQuant Algorithm Sends Memory Chip Stocks Tumbling 
SpaceX IPO Filing Expected This Week as Valuation Could Surpass $75 Billion 
NVIDIA's Feynman AI Chip May Face Redesign Amid TSMC Capacity Crunch 
Apple Defies China's Smartphone Slump with Strong Early 2026 Sales 
Apple has been quietly conducting a succession of artificial intelligence-related acquisitions and staff recruitment in order to introduce on-device AI to its next-generation iPhones.
Apple's Big AI Push Is Implied By Startup Acquisitions And Job Postings
Apple appears to be focusing on "tackling the technological problem of running AI through mobile devices." To that end, it has acquired several AI-related startups, the most recent of which occurred early last year when it purchased California-based WaveOne, which provides AI-powered video compression, as per Financial Times.
According to a recent Morgan Stanley research note, nearly half of Apple's AI job postings have mentioned "Deep learning," which refers to the methods that power generative AI. Previous sources indicate that Apple has been testing its "Ajax" large language model (LLM) since early 2023, but unlike LLMs such as OpenAI's ChatGPT, Apple's major goal is to produce generative AI that operates locally on-device rather than being backed by cloud services in data centers.
The challenge in reaching that goal includes optimizing the LLM while lowering its size, as well as a greater reliance on high-performance mobile hardware and quicker Apple silicon chips. For example, Apple is rumored to be considering a major update to the iPhone 16 microphone to boost the new AI-enhanced Siri experience.
Apple to Unveil Generative AI Tools and LLM-Powered Siri at WWDC
Just last month, Apple AI researchers announced that they had made a significant breakthrough in deploying large language models (LLMs) on iPhones and other Apple devices with limited memory by developing an innovative flash memory use technique, as per MacRumors.
Apple is expected to reveal a series of generative AI-based tools at its Worldwide Developers Conference (WWDC) in June, which will also include a peek of iOS 18. Morgan Stanley analysts believe the mobile software will be targeted toward enabling generative AI, with its speech assistant Siri possibly powered by an LLM.
Photo: Laurenz Heymann/Unsplash
