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AI 资讯

Google Assistant will disappear from your phone next month

Google Assistant's days have been numbered ever since Gemini arrived on the scene, and its time is now up. Google has announced that it will be removing access to Assistant on Android phones and tablets, along with paired devices like smartwatches or headphones, from September 4th. The announcement came in an email apparently sent to […]

2026-08-05 原文 →
AI 资讯

The Asus Chromebook Plus CX34 is at one of its lowest prices

The Asus Chromebook Plus CX34 is a dependable laptop that doesn’t cost a fortune, despite being nearly three years old. It’s cheaper than usual right now, and you have a few options in the sub-$400 range. The option with the most storage is currently on sale for $399.99 (about $100 off recent prices) at Amazon. […]

2026-08-04 原文 →
AI 资讯

Can Reddit fend off a new wave of AI SEO spam?

Earlier this year, a Reddit user had asked members of a skincare-focused subreddit if anyone had tried a specific hypochlorous acid spray, a product often used for acne. There were dozens of responses; one from a user named Primary-Taro4254 seemed innocuous enough, at least at first. "I haven't personally tried [that brand] so I can't […]

2026-08-04 原文 →
AI 资讯

Google's AI tools for developers and enterprise, and when to actually reach for each

Beyond the consumer surfaces most people know, the Gemini app and Gemini Notebook (formerly NotebookLM), Google offers a whole set of AI tools and interfaces built for developers and enterprise teams. At first glance, it's a lot to wrap your head around. AI Studio, Gemini Enterprise Agent Platform, the Gemini Enterprise app, Antigravity in its various forms. The names overlap, the marketing language overlaps, and it's not obvious where one tool's job ends and another's begins. AI Studio is for prototyping and building web and Android apps AI Studio is where you test a prompt, try a multimodal input, or compare models before committing to anything. It also builds full applications straight from a prompt, complete with backend infrastructure. When your app needs to store data or handle sign-ins, AI Studio provisions a database and authentication for you, either Cloud Firestore or Cloud SQL for a relational setup, and Firebase Authentication, without you configuring any of that by hand. It also connects to Google Workspace APIs, so an app you build there can work with a user's real Gmail, Docs, Sheets, or Calendar data. It supports mobile app development as well, for native Android apps. Use AI Studio when you want to validate an idea or ship a lightweight web or Android app fast, with real backend support, and without provisioning any Google Cloud infrastructure yourself. Gemini Enterprise Agent Platform is where agents actually get built This is the next generation of Vertex AI. Google folded Vertex AI's entire service catalog, model access, custom training, evaluation, pipelines, all of it, into what's now called the Agent Platform. If you go looking for Vertex AI in the console today, it redirects you here. This is the one-stop shop for the full agent development lifecycle. You build with Agent Studio, the low-code visual builder, or the Agent Development Kit for code-first development in Python, Go, Java, or TypeScript. Agent Engine handles the managed runtime, Mo

2026-08-04 原文 →
开发者

Your Fitbit data can now connect directly to Apple Health

Google is rolling out an update that will finally allow you to connect your Fitbit workouts, steps, vitals, and other data to Apple Health, as reported earlier by 9to5Mac. With Google Health's 5.05 update, you can now tap your profile icon, select "Partner apps," and choose Apple Health to link your data directly. Previously, you […]

2026-08-04 原文 →
AI 资讯

Lenovo Googlebook leaks reveal a laptop and 2-in-1 tablet

Lenovo is expected to release some of the first Googlebook models later this year, and leaked images have now given us a good idea of what they might look like. Leaked press images shared by Digital Citizen and Android Headlines include a laptop and a 2-in-1 tablet, all of which feature Googlebook branding on the […]

2026-08-03 原文 →
AI 资讯

Google’s Gemini AI fixes 1,072 Chrome bugs in 60 days – How it happened

TL;DR: Google’s Gemini AI agents identified and helped remediate 1,072 Chrome security flaws in 60 days, dramatically shrinking the window for attackers. The race to protect 3.5 billion Chrome users has taken a high‑tech shortcut. Instead of relying solely on human researchers, Google deployed its Gemini‑powered AI agents to hunt for bugs, triage findings, and even suggest patches. The result? Over a thousand vulnerabilities squashed in just two months—a pace that would have taken years using traditional methods. How Gemini’s AI Agents Accelerated Chrome’s Bug Hunt Google’s internal security team integrated Gemini, the company’s latest large‑language‑model platform, into its vulnerability‑scanning pipeline. The AI agents performed three core tasks: Automated code analysis – By ingesting Chrome’s massive codebase, the models flagged risky patterns, unsafe API calls, and legacy modules that often hide bugs. Prioritization and risk scoring – Gemini assigned a severity score to each finding, allowing engineers to focus on exploits with the highest potential impact. Patch drafting assistance – For many low‑complexity issues, the AI generated candidate code changes, which senior engineers then reviewed and merged. The system worked in a loop: the AI scanned, reported, received feedback, and refined its heuristics. This iterative approach cut the average time‑to‑detect from weeks to hours and reduced manual triage effort by an estimated 40 %. The Scale and Impact of Fixing 1,072 Vulnerabilities During the 60‑day sprint, the AI‑augmented process uncovered 1,072 distinct security bugs across Chrome’s rendering engine, JavaScript runtime, and networking stack. Roughly half were classified as “high‑severity,” meaning they could have enabled remote code execution or data exfiltration. Key outcomes include: Reduced exposure window – The median time between bug discovery and patch release dropped from 45 days (historical average) to under 7 days. Broad coverage – The AI identifie

2026-08-03 原文 →
AI 资讯

Pixel 11 specs and price leak with no surprises

Android Headlines claims to have the specs and price for the entire Pixel 11 lineup. What the site shared basically lines up with everything else that we've heard in the lead-up to the August 12th event. The Pixel 11 is expected to get a $100 price hike, starting at $899, but will come with 256GB […]

2026-08-02 原文 →
AI 资讯

Restoring Codebase Harmony

The Chaotic Bug: The Infinite State Loop & Memory Leak In a real-time clinical AI health suite, high-frequency telemetry streaming (such as 60Hz ECG canvas updates) demands surgical precision. During heavy load testing, our frontend performance suddenly degraded: CPU thread usage hit 98%, heap memory ballooned to over 1.4 GB, and DOM frame rendering dropped to single digits. The Root Cause A subtle React useEffect hook listening to the incoming WebSocket data stream contained the state setter inside its dependency array: // ❌ THE CHAOTIC BUG (Caused infinite state sync re-renders) useEffect(() => { const sub = ecgDataStream.subscribe((point) => { setEcgPoints((prev) => [...prev, point]); // Triggered full tree re-render on every frame! }); return () => sub.unsubscribe(); }, [ecgPoints]); // Including state array in deps created recursive re-subscription storm! Every incoming telemetry frame pushed new state, triggering an immediate top-level component re-render, which re-subscribed to the stream and accumulated thousands of orphaned event listeners. Best Use of Sentry: Pinpointing & Clearing the Lineup Sentry Performance Tracing and Sentry Error Tracking proved invaluable in isolating this silent killer: Transaction Waterfalls: Sentry flagged transaction spans render_ecg_canvas exceeding the 500ms threshold (averaging 842ms). Breadcrumb Trail: Sentry logged a rapid succession of CanvasRenderer memory allocation warnings (>64MB/sec). Issue Grouping: Sentry grouped 14,000 React Maximum update depth exceeded exceptions into a single actionable alert. The Fix & Restored Harmony We refactored the streaming engine to bypass React state re-renders entirely for frame accumulation, employing a zero-allocation useRef buffer paired with a requestAnimationFrame render cycle, and instrumented Sentry Breadcrumbs: // ✅ THE RESILIENT FIX (Zero-allocation ref buffer + Sentry Breadcrumb) import * as Sentry from '@sentry/react'; const bufferRef = useRef([]); useEffect(() => { Sentry.a

2026-08-01 原文 →