标签：#google

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

Despite predictions that AI agents could make traditional apps obsolete, developers are shipping new software faster than ever. From smarter bookmarking tools and neighborhood marketplaces to digital pen pals and nature journals, here are the latest App Store finds worth adding to your Home Screen.

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 […]

Reddit may still be considering ending its licensing deal with Google.

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

The company appears to have built new laptops and a 2-in-1 for the Googlebook initiative.

Someone in Cuba or Iran can keep installing APKs with no new restrictions, but devs will suffer.

A tool that allowed anyone to generate fake AI-generated imagery and superimpose it over real Google Earth maps quickly spurred backlash.

Google has shut down Google Earth feature it launched Thursday that allowed users to edit satellite images with text prompts using AI. The tool essentially let users create AI deepfakes of the real world using text prompts; Digital Digging's Henk van Ess, for example, intentionally generated images adding things like refugees near the Mexican border […]

People had less than a day to make misleading Google Earth images with AI before Google pulled the feature.

Google is seemingly working on an item tracker that might compete with Apple's AirTag. 9to5Google obtained an image of something called a "Google Pixel Tag" that has a small oval shape. The publication also linked to a Slovenian store listing about the Pixel Tag that describes the gadget as an item tracker with a speaker […]

Now a text prompt is all it takes to generate reality-warping images using Google Earth's satellite, aerial, and 3D imagery, like these images generated by Digital Digging's Henk van Ess that show "refugees near the Mexican border" and a bomb crater near a hospital in Gaza. Google responded to Digital Digging's AI-altered images, saying, "We […]

Reddit's financial situation is looking good but uncertainty about its relationship to Google and the new AI-ified web are stirring market concerns.

The last two versions of Chrome have included more patches than the previous 23 combined.

As experts have warned for the last two years, some companies — like Microsoft and now Google — are finding and patching an exponential number of bugs in their products, thanks to the use of LLMs and AI tools.

Google's next foldable doesn't look all that different, save for the camera bar.

Gemini Robotics 2 includes three models, but only one is publicly available right now.

The company made a video of the bots in action doing stuff like cleaning trash and picking up watering cans.

Google DeepMind says the latest version of its Gemini Robotics AI model can "control entire humanoid robots." While the previous model focused on controlling a humanoid robot's upper body, Gemini Robotics 2 now supports "whole-body motions" ranging from its feet to fingertips, according to an announcement on Thursday. The new model will allow humanoid robots […]

The two Chrome updates in June patched more bugs than the 23 updates before them. Now, Google is ramping up its patching schedule thanks to AI-assisted vulnerability discovery.