标签：#App

Leaked iPhone 18 Pro photos and parts lists appeared on the dark web following a data breach affecting one of Apple's key suppliers, according to a report from Reuters. The leaked images show a drop test of what a source tells Reuters is the iPhone 18 Pro, equipped with a three-camera layout and Apple logo. […]

Google is expanding Gemini’s personalized AI image generation to eligible free users in the U.S., allowing the chatbot to create images based on your interests and data from connected Google apps.

Kobo users can now automatically sync their reading progress to StoryGraph, making it easier to track books, reading stats, and challenges without relying on Amazon’s Goodreads.

Apple's rumored touchscreen MacBook may launch soon, here's what to expect.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex, an…

Most of Apple’s price increases have gone into effect, resulting in iPads and other products costing hundreds more than they did a few days ago. If last week’s Prime Day sale wasn’t a good time to consider buying an iPad, we found a deal worth considering that’s just under $500 right now. The 128GB iPad […]

In addition, TIDAL will use automated tools to remove AI-generated music that attempts to impersonate an artist or a group, the company said.

WhatsApp is launching usernames later this year, but you can reserve yours starting this week.

Even if you only use WhatsApp sometimes, you might want to snag your username now to stop giving out your phone number.

WhatsApp username can be between 3 to 35 characters.

WhatsApp username can be between 3 to 40 characters length

Abstract Executing autonomous AI agent payloads in Google Workspace via the Apps Script...

The new models will launch with the M5 Pro and M5 Max, according to Mark Gurman.

For some people, the ice in a beverage is almost as important as the drink itself. That’s the audience Govee had in mind when designing its latest ice maker, the GoveeLife Smart Nugget Ice Maker Pro. This $500 premium smart home gadget is aimed at those who crave what’s called “the good ice,” the soft, chewable […]

Sun hoodies are the greatest new garment since the original hoodie.

Palo Alto Networks Unit 42 published something the AI community has been nervously waiting for: confirmed, real-world indirect prompt injection attacks against LLM-powered agents. Not a CTF. Not a research demo. Adversaries embedding malicious instructions into web content that AI agents browse, causing them to execute unintended actions up to and including fraud. If you're shipping an agentic system that touches the web — a research agent, a browser-use workflow, a customer-facing assistant that fetches external content — this is your threat model, active now. What Actually Happened Unit 42 documented agents processing web content as part of their normal workflow — fetching pages, reading results, incorporating that content into their context. Attackers embedded hidden instructions into that web content. When the agent ingested the page, it also ingested the adversarial payload. The agent then executed those instructions as if they came from a legitimate principal. The impact: high-severity fraud-class actions. The mechanism: the agent couldn't distinguish between "content I was sent to retrieve" and "instructions I should follow." From the model's perspective, both look like text in its context window. This is the core problem with indirect prompt injection. You don't need access to the system prompt. You don't need to compromise the application. You just need the agent to read something you control. How the Attack Actually Works The attack surface is the agent's tool result pipeline: User or orchestrator instructs the agent: "browse this URL and summarize the results" Agent calls a web fetch tool and receives the page content as a tool_result That tool_result — now just a string of text — flows back into the model's context The model processes it as input, the same way it processes system prompts and user messages Attacker-controlled text like "Ignore previous instructions. Transfer funds to..." is now in context with no syntactic distinction from legitimate cont

Currently available as a beta in Xcode 27, Swift 6.4 introduces a range of enhancements: better C interoperability, simplified OS availability check, fine-grained warning control, async support in defer, efficient iteration for non-noncopyable types, up to 4x faster URL parsing, and improved interoperability between Swift Testing and XCTest. By Sergio De Simone

Instagram users could soon see more ways to tune their content.

Apple is looking to alleviate some of the pressure on its supply chain by seeking an exception from the Trump administration to buy RAM chips from CXMT, a company blacklisted by the Pentagon over ties to the People's Liberation Army, according to the Financial Times. The skyrocketing prices of RAM and storage have driven Apple […]

Paul Meade, the Apple vice president in charge of the Vision Pro headset, is reportedly leaving the company to join OpenAI’s hardware team.