标签：#apple

While some users liked the sleek, transparent designs that look "glassy," others found Apple's design overhaul from last year to be hard to read.

Here's everything announced at Apple's WWDC 2026 keynote.

Apple updates Liquid Glass to be more readable and customizable

Apple announced its next major iOS update, iOS 27, at WWDC 2026 on Monday. Apple is highlighting performance and design improvements, trust and safety upgrades like a Screen Time redesign, and major upgrades to Siri and Apple Intelligence. The update will be supported all the way back to the iPhone 11. A big change is […]

Apple’s annual WWDC event is kicking off on June 8th with a keynote presentation starting at 1PM ET / 10AM PT, where Apple will announce major updates to iOS, macOS, and its other operating systems. Among those updates could be Apple’s delayed Siri overhaul, which has faced setbacks since it was initially announced at WWDC […]

Apple's WWDC nears: Here's what you can look forward to.

Come join us as we report live from the company's "All systems glow" event.

Apple's biggest event of the year is nearly here. The company's Worldwide Developers Conference will spotlight updates to iOS, macOS, and all of Apple's other operating systems, and this year's event could also include a major overhaul for Siri. Here's how you can watch along live. When WWDC will happen and where you can watch […]

Follow our WWDC 2026 live blog for all of the updates coming to iOS, macOS, watchOS, and more.

1.4 billion iPhones. That's how many devices Apple will push Siri 2.0 to this fall—built on a custom 1.2-trillion-parameter Gemini model and an Extensions system that lets users route Siri's AI brain to Claude, ChatGPT, or Google's own Gemini directly. Tim Cook announced all of it at WWDC 2026 on June 8, his final WWDC keynote before handing the CEO role to hardware chief John Ternus in September. The story isn't just a better Siri. Apple is opening iOS as an AI distribution channel—the largest in history—and the developer implications are immediate. The Gemini Deal Apple licensed a custom 1.2-trillion-parameter Gemini model from Google at a reported $1 billion per year. That's eight times the parameter count of Apple's current 150-billion-parameter on-device foundation model. Bloomberg first reported the deal in March 2026; WWDC confirmed it on stage. The private vs. cloud distinction matters here. Apple isn't routing your queries to Google's servers. The custom Gemini model runs on Apple's Private Cloud Compute (PCC) infrastructure—Apple-owned silicon, Apple-controlled software, with cryptographic attestation that prevents even Apple engineers from reading query contents. This is the same architecture Apple built for existing cloud AI features, now scaled up for a model eight times larger. What that means in practice: Siri can answer complex multi-step questions, reason over your personal context (calendar, messages, mail), and execute cross-app actions. None of it touches Google's data centers. The New Siri App Siri in iOS 27 ships as a standalone app. iMessage-style interface, persistent conversation threads, full chat history synced via iCloud. Two modes: quick invocation through the Dynamic Island (a glowing "Search or Ask" prompt) for fast queries, and the full chat app for extended conversations. Chat-mode Siri is a first-party ChatGPT competitor. Persistent threads, file attachments, on-screen awareness. Ask "what does this error mean?" while looking at an

The annual developer event is where Apple announces operating system updates—like iOS 27—and maybe even teases future hardware. Here’s how to see it all.

Apple's WWDC nears: Here's what you can look forward to.

Apple has been on its back foot, AI-wise, for the past few years. But in a strange way, playing from behind might not be such a bad move. At WWDC on Monday, Apple appears to be getting ready to reintroduce us to the new Siri. Again. As a reminder, we met the new Siri in […]

The MacBook Neo is Apple's cheapest laptop, its most colorful, and its easiest to repair in years. That means owners can buy replacement parts in all four of its available colors and swap them in on their own. So that got us thinking: What if we bought a Neo just to see how funky we […]

“Why don’t we just frickin’ call Apple?”

From battery life to privacy, there are many hurdles to the idea taking off.

After GTC 2026, one thing is basically settled: the hardware layer for on-device AI is no longer the bottleneck. NVIDIA's RTX Spark packs Blackwell GPU + Grace CPU + 128GB unified memory into a desktop form factor. Apple's M-series chips with unified memory architecture and efficiency-first design let 4B and even 7B parameter models run smoothly on a MacBook. Two different approaches, same destination: consumer hardware now has the compute foundation for running on-device AI agents. Chip vendors have done their part. The next question is: how many layers are still missing between "chip can run an AI model" and "an on-device agent can actually complete useful tasks"? This post maps out the full technology stack for on-device AI agents, examining each layer's maturity, identifying gaps, and tracking what the open-source community has built so far. Layer 1: Silicon (Ready) On-device AI inference has different chip requirements than traditional compute workloads. The core bottleneck isn't peak FLOPS — it's memory bandwidth and unified memory capacity. LLM inference needs model weights fully loaded into memory, with high-frequency data movement between weight matrices and activations during computation. If memory bandwidth can't keep up, raw compute power just sits idle waiting for data. Three main silicon paths exist today: NVIDIA N1X : Blackwell GPU + Grace CPU heterogeneous architecture, 128GB unified memory, petaflop-class compute, targeting desktop workstations Apple M-series (M4/M5) : Unified memory architecture with GPU and CPU sharing memory, optimized memory bandwidth, configurations from 32GB to 192GB Qualcomm Snapdragon X : Targeting laptops and mobile, NPU-accelerated inference, relatively limited memory configurations Different emphases, but one common takeaway: 2026 consumer silicon can run 4B+ parameter models for real-time inference. This layer is ready. Layer 2: Inference Frameworks (Mature) With silicon in place, efficient inference frameworks are neede

Poke, the startup that lets people use AI agents through simple text messages, has become the first AI agent approved for Apple’s Messages for Business platform.

Apple's WWDC nears: Here's what you can look forward to.

Apple's App Store generated $1.4 trillion in sales, up from $1.3 trillion last year, with $149 billion in sales for digital goods.