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Two New Windows Zero-Days Exploited in the Wild — One Affects Every Version Ever Shipped

Two New Windows Zero-Days Exploited in the Wild — One Affects Every Version Ever Shipped

Microsoft on Tuesday released fixes for a whopping 183 security flaws spanning its products, including three vulnerabilities that have come under active exploitation in the wild, as the tech giant officially ended support for its Windows 10 operating system unless the PCs are enrolled in the Extended Security Updates (ESU) program. Of the 183 vulnerabilities, eight of them are non-Microsoft

The best budget wireless earbuds for 2025

The best budget wireless earbuds for 2025

Big-name brands like Apple , Sony , and Bose tend to dominate the headlines when it comes to wireless earbuds , but that doesn’t mean you need to spend a ton to get something good. It’s more than possible to find a pair with clean sound, strong noise cancellation and a rich set of features for less than $100. That said, there’s still plenty of junk in the bargain bin, so you need to be careful. If you’re looking to make an audio upgrade on the cheap, we’ve read countless reviews, compared specs and tested a few dozen models ourselves to find the best budget wireless earbuds you can buy. This is a busy market with new options releasing all the time, but you can find our current favorites below. Table of contents Best budget wireless earbuds for 2025 Other budget wireless earbuds we tested Best cheap wireless earbuds: FAQs Recent updates Best budget wireless earbuds for 2025 Other budget wireless earbuds we tested The Skullcandy Method 360 ANC. Jeff Dunn for Engadget Note: This is a selection of noteworthy earbuds we’ve put through their paces, not a comprehensive list of everything we’ve ever tried. Skullcandy Method 360 ANC The Skullcandy Method 360 ANC is often available for $100, and at that price it’s worth considering over our picks above. These earphones have an extremely V-shaped sound signature with thunderous bass and noticeably clearer highs than the Soundcore Space A40, along with decent ANC and a bulky yet comfortable design that takes after Bose’s old QuietComfort Ultra Earbuds . They technically have a list price of $130, however, which puts them over the $100 limit we have for picks in this guide. Their enormous case and lack of wireless charging don’t help either. You can read our review for a full breakdown. Beats Solo Buds The $80 Beats Solo Buds are comfortable and long-lasting, with an impressive 18 hours of battery life. But they sound a bit flat and are severely lacking in features. There’s no ANC, wear detection or official water-resistance rating, and the included case can’t wirelessly charge the earbuds on its own. You can read our full review for more details. JLab Go Pop ANC The $30 JLab Go Pop ANC is worth a look if you just want a competent pair of wireless earphones for as little money as possible. It’s the cheapest set we’ve tested with active noise cancellation and transparency mode, though neither feature is all that effective. Like the Go Sport+, it also relies on a short USB-C cable tethered to its case to charge. But it actually sounds OK for the price: not particularly wide or detailed, but not harsh either, with decent energy and bass punch. The tiny earpieces fit snugly and isolate a good chunk of background noise passively. They’re also IP55-rated, while the case is similarly compact. There’s no auto-pausing, but you can connect to two devices at once, the touch controls work well and JLab’s app makes it easy to adjust settings. Battery life is alright at six to seven hours, too, though this is another one that’ll get wrecked by the wind if you take a call outside. The JLab Go Pop+ is another option here. It gives up the ANC, IP55 rating and multipoint connectivity, but it costs $5 less and has longer battery life. EarFun Air Pro 4 We liked what we heard from the EarFun Air Pro 4 for about a day or so — then one earbud broke, apparently deciding that it would only play at an extremely low volume from that point on. We’ve seen a few users report the same issue , while others have noted problems with crackling sounds coming out of single earpieces. This pair has received heaps of praise from other outlets, and we generally liked its predecessor, so it may well work for you. But we can’t recommend something that died before we could finish testing it. The Beats Solo Buds. Photo by Billy Steele / Engadget EarFun Free Pro 3 The EarFun Free Pro 3 are totally solid, but the Space A40 gets you superior ANC, longer battery life and a more comfortable design for a lower price these days. EarFun Air 2 Along those lines, the EarFun Air 2 are a good alternative to EarFun’s Free 2S if you’re partial an AirPods-style stem design, but they cost $10 more and aren’t significantly better. Baseus Bowie MA10 The Baseus Bowie MA10 are saddled with a ginormous charging case, a sloppy app and bulky earpieces that we found uncomfortable to wear over time. Baseus Eli Sport 1 The Baseus Eli Sport 1 have a fully open design that wraps around the ear and rests outside of your ear canal entirely. That’s nice for staying alert to the outside world, but it’s less so for getting the most detail out of your music. This is another pair with an oversized case, too. OnePlus Buds 3 The OnePlus Buds 3 have an excited sound and a stylish design in the same vein as the Soundcore Liberty 4 NC, and their mic is a bit clearer for phone calls. They fall short of Anker’s pair when it comes to noise cancellation and battery life, however. Skullcandy Dime 3 The Skullcandy Dime 3 deliver a surprisingly neutral sound profile for their dirt-cheap price, so they’re worth considering over the JLab Go Pop ANC if you see them in the $25 range. Like that pair, they can also connect to two devices simultaneously. But their overall battery life is a bit shorter, their call quality is poor and their physical controls are both unintuitive and uncomfortable, since they lead you to push the buds deeper into your ear canals. Skullcandy Smokin' Buds The Skullcandy Smokin’ Buds are another ultra-budget option with a sick name, bro, but they sound harsher in the treble than the JLab Go Pop ANC and offer worse battery life through their charging case. This pair does use tap-based controls, but they can be finicky, and they still aren’t the most straightforward things to operate. Best cheap wireless earbuds: FAQs The JLab Go Pop ANC (left) and EarFun Air Pro 4. Jeff Dunn for Engadget What are the biggest differences between cheaper earbuds and more premium models? A higher price does not guarantee higher quality. We'd take a pair like the Anker Soundcore Space A40 over many alternatives priced well over $100. Broadly speaking, though, the pricier components used by the best wireless earbuds let them put out a more detailed and versatile sound, more powerful active noise cancellation and a more complete list of features like multipoint connectivity, faster pairing, wear detection or wireless charging. They generally feel less flimsy in the hand, and their companion software tends to be less buggy. Battery life may be longer as well. But you have to look at these things on a case-by-case basis: Some earbuds justify their cost, others very much do not. Can you improve the sound of cheap wireless earbuds? Evaluating audio quality is always subjective to some extent — what I find "bloated," you may consider "fun" or "lively." In general, if a set of earbuds is tuned poorly or built with cheap materials, you can't magically fix that. However, most new pairs allow you to adjust their EQ curve through software, so you can sculpt the frequency ranges in a way that better suits your tastes, at least somewhat. Also, remember that fit is king: If your in-ear headphones aren't sealed tight enough, they'll inevitably sound less detailed, with weaker bass response and worse isolation from outside noise. Consider trying different ear tips in that case. Can cheap earbuds sound as good as AirPods? A few can, sure! I'd take the top-end AirPods Pro 3 over any of the top picks in this guide, but they are far from unassailable. Meanwhile, the AirPods 4 's unsealed design prevents them from pumping out truly deep bass, and I find them to sound a bit veiled in the treble. (They're still a level above the open-back Amazon Echo Buds, though.) The big appeal with AirPods is how tightly they integrate with other Apple devices: You open them with an iPhone and they just work. No other earbuds can replicate that, cheap or otherwise, because Apple uses proprietary tech that prevents competitors from offering the same features. Again, price and advertising budget has little to do with how good a set of earbuds is. (This is a silly question, but we know some casual buyers will inevitably ask it.) Recent updates October 2025 : We’ve made a few light edits to ensure our recommendations are still up-to-date. June 2025 : We’ve ensured our picks are still accurate and added testing notes on Skullcandy’s Method 360 ANC. April 2025 : The JLab Go Sport+ replaces the older JLab Go Air Sport as our “best for workouts” pick. We’ve also added testing notes on the EarFun Air Pro 4 and JLab Go Pop ANC, removing our blurbs for their predecessors along the way. December 2024 : We’ve lightly edited this guide for clarity and moved the aging JLab Go Air Pop and EarFun Air Pro 3 from honorable mentions to our “others we tested” section. September 2024 : We’ve added notes on a handful of other budget wireless earbuds that we’ve tested but fall short of our top picks, which remain unchanged. June 2024 : We’ve checked this guide to ensure that all of our picks are still in stock. Accordingly, we’ve removed the Nothing Ear Stick as an honorable mention, as it no longer appears to be available — though it remains a decent option if you do see it and want an unsealed alternative to the Amazon Echo Buds. We’re also still in the process of testing several other sub-$100 Bluetooth earbuds for a future update. This article originally appeared on Engadget at https://www.engadget.com/audio/headphones/best-budget-wireless-earbuds-130028735.html?src=rss

Dfinity launches Caffeine, an AI platform that builds production apps from natural language prompts

Dfinity launches Caffeine, an AI platform that builds production apps from natural language prompts

The Dfinity Foundation on Wednesday released Caffeine , an artificial intelligence platform that allows users to build and deploy web applications through natural language conversation alone, bypassing traditional coding entirely. The system, which became publicly available today, represents a fundamental departure from existing AI coding assistants by building applications on a specialized decentralized infrastructure designed specifically for autonomous AI development. Unlike GitHub Copilot , Cursor , or other "vibe coding" tools that help human developers write code faster, Caffeine positions itself as a complete replacement for technical teams. Users describe what they want in plain language, and an ensemble of AI models writes, deploys, and continually updates production-grade applications — with no human intervention in the codebase itself. "In the future, you as a prospective app owner or service owner… will talk to AI. AI will give you what you want on a URL," said Dominic Williams, founder and chief scientist at the Dfinity Foundation, in an exclusive interview with VentureBeat. "You will use that, completely interact productively, and you'll just keep talking to AI to evolve what that does. The AI, or an ensemble of AIs, will be your tech team." The platform has attracted significant early interest: more than 15,000 alpha users tested Caffeine before its public release, with daily active users representing 26% of those who received access codes — "early Facebook kind of levels," according to Williams. The foundation reports some users spending entire days building applications on the platform, forcing Dfinity to consider usage limits due to underlying AI infrastructure costs. Why Caffeine's custom programming language guarantees your data won't disappear Caffeine's most significant technical claim addresses a problem that has plagued AI-generated code: data loss during application updates. The platform builds applications using Motoko , a programming language developed by Dfinity specifically for AI use, which provides mathematical guarantees that upgrades cannot accidentally delete user data. "When AI is updating apps and services in production, a mistake cannot lose data. That's a guarantee," Williams said. "It's not like there are some safeguards to try and stop it losing data. This language framework gives it rails that guarantee if an upgrade, an update to its app's underlying logic, would cause data loss, the upgrade fails and the AI just tries again." This addresses what Williams characterizes as critical failures in competing platforms. User forums for tools like Lovable and Replit , he notes, frequently report three major problems: applications that become irreparably broken as complexity increases, security vulnerabilities that allow unauthorized access, and mysterious data loss during updates. Traditional tech stacks evolved to meet human developer needs — familiarity with SQL databases, preference for known programming languages, existing skill investments. "That's how the traditional tech stacks evolved. It's really evolved to meet human needs," Williams explained. "But in the future, it's going to be different. You're not going to care how the AI did it. Instead, for you, AI is the tech stack." Caffeine's architecture reflects this philosophy. Applications run entirely on the Internet Computer Protocol (ICP) , a blockchain-based network that Dfinity launched in May 2021 after raising over $100 million from investors including Andreessen Horowitz and Polychain Capital . The ICP uses what Dfinity calls "chain-key cryptography" to create what Williams describes as "tamper-proof" code — applications that are mathematically guaranteed to execute their written logic without interference from traditional cyberattacks. "The code can't be affected by ransomware, so you don't have to worry about malware in the same way you do," Williams said. "Configuration errors don't result in traditional cyber attacks. That passive traditional cyber attacks isn't something you need to worry about." How 'orthogonal persistence' lets AI build apps without managing databases At the heart of Caffeine's technical approach is a concept called " orthogonal persistence ," which fundamentally reimagines how applications store and manage data. In traditional development, programmers must write extensive code to move data between application logic and separate database systems — marshaling data in and out of SQL servers, managing connections, handling synchronization. Motoko eliminates this entirely. Williams demonstrated with a simple example: defining a blog post data type and declaring a variable to store an array of posts requires just two lines of code. "This declaration is all that's necessary to have the blog maintain its list of posts," he explained during a presentation on the technology. "Compare that to traditional IT where in order to persist the blog posts, you'd have to marshal them in and out of a database server. This is quite literally orders of magnitude more simple." This abstraction allows AI to work at a higher conceptual level, focusing on application logic rather than infrastructure plumbing. "Logic and data are kind of the same," Williams said. "This is one of the things that enables AI to build far more complicated functionality than it could otherwise do." The system also employs what Dfinity calls "loss-safe data migration." When AI needs to modify an application's data structure — adding a "likes" field to blog posts, for example — it must write migration logic in two passes. The framework automatically verifies that the transformation won't result in data loss, refusing to compile or deploy code that could delete information unless explicitly instructed. From million-dollar SaaS contracts to conversational app building in minutes Williams positions Caffeine as particularly transformative for enterprise IT, where he claims costs could fall to "1% of what they were before" while time-to-market shrinks to similar fractions. The platform targets a spectrum from individual creators to large corporations, all of whom currently face either expensive development teams or constraining low-code templates. "A corporation or government department might want to create a corporate portal or CRM, ERP functionality," Williams said, referring to customer relationship management and enterprise resource planning systems. "They will otherwise have to obtain this by signing up for some incredibly expensive SaaS service where they become locked in, their data gets stuck, and they still have to spend a lot of money on consultants customizing the functionality." Applications built through Caffeine are owned entirely by their creators and cannot be shut down by centralized parties — a consequence of running on the decentralized Internet Computer network rather than traditional cloud providers like Amazon Web Services . "When someone says built on the internet computer, it actually means built on the internet computer," Williams emphasized, contrasting this with blockchain projects that merely host tokens while running actual applications on centralized infrastructure. The platform demonstrated this versatility during a July 2025 hackathon in San Francisco, where participants created applications ranging from a "Will Maker" tool for generating legal documents, to "Blue Lens," a voice-AI water quality monitoring system, to "Road Patrol," a gamified community reporting app for infrastructure problems. Critically, many of these came from non-technical participants with no coding background. "I'm from a non-technical background, I'm actually a quality assurance professional," said the creator of Blue Lens in a video testimonial. "Through Caffeine I can build something really intuitive and next-gen to the public." The application integrated multiple external services — Eleven Labs for voice AI, real-time government water data through retrieval-augmented generation, and Midjourney-generated visual assets — all coordinated through conversational prompts. What separates Caffeine from GitHub Copilot, Cursor, and the 'vibe coding' wave Caffeine enters a crowded market of AI-assisted development tools, but Williams argues the competition isn't truly comparable. GitHub Copilot , Cursor , and similar tools serve human developers working with traditional technology stacks. Platforms like Replit and Lovable occupy a middle ground, offering "vibe coding" that mixes AI generation with human editing. "If you're a Node.js developer, you know you're working with the traditional stack, and you might want to do your coding with Copilot or using Claude or using Cursor," Williams said. "That's a very different thing to what Caffeine is offering. There'll always be cases where you probably wouldn't want to hand over the logic of the control system for a new nuclear missile silo to AI. But there's going to be these holdout areas, right? And there's all the legacy stuff that has to be maintained." The key distinction, according to Williams, lies in production readiness. Existing AI coding tools excel at rapid prototyping but stumble when applications grow complex or require guaranteed reliability. Reddit forums for these platforms document users hitting insurmountable walls where applications break irreparably, or where AI-generated code introduces security vulnerabilities. "As the demands and the requirements become more complicated, eventually you can hit a limit, and when you hit that limit, not only can you not go any further, but sometimes your app will get broken and there's no way of going back to where you were before," Williams said. "That can't happen with productive apps, and it also can't be the case that you're getting hacked and losing data, because once you go hands-free, if you like, and there's no tech team, there's no technical people involved, who's going to run the backups and restore your app?" The Internet Computer's architecture addresses this through Byzantine fault tolerance — even if attackers gain physical control over some network hardware, they cannot corrupt applications or their data. "This is the beginning of a compute revolution and it's also the perfect platform for AI to build on," Williams said. Inside the vision: A web that programs itself through natural language Dfinity frames Caffeine within a broader vision it calls the " self-writing internet ," where the web literally programs itself through natural language interaction. This represents what Williams describes as a "seismic shift coming to tech" — from human developers selecting technology stacks based on their existing skills, to AI selecting optimal implementations invisible to users. "You don't care about whether some human being has learned all of the different platforms and Amazon Web Services or something like that. You don't care about that. You just care: Is it secure? Do you get security guarantees? Is it resilient? What's the level of resilience?" Williams said. "Those are the new parameters." The platform demonstrated this during live demonstrations, including at the World Computer Summit 2025 in Zurich. Williams created a talent recruitment application from scratch in under two minutes, then modified it in real-time while the application ran with users already interacting with it. "You will continue talking to the AI and just keep on refreshing the URL to see the changes," he explained. This capability extends to complex scenarios. During demonstrations, Williams showed building a tennis lesson booking system, an e-commerce platform, and an event registration system — all simultaneously, working on multiple applications in parallel. "We predict that as people get very proficient with Caffeine , they could be working on even 10 apps in parallel," he said. The system writes substantial code: a simple personal blog generated 700 lines of code in a couple of minutes. More complex applications can involve thousands of lines across frontend and backend components, all abstracted away from the user who only describes desired functionality. The economics of cloning: How Caffeine's app market challenges traditional stores Caffeine's economic model differs fundamentally from traditional software-as-a-service platforms. Applications run on the Internet Computer Protocol , which uses a "reverse gas model" where developers pay for computation rather than users paying transaction fees. The platform includes an integrated App Market where creators can publish applications for others to clone and adapt — creating what Dfinity envisions as a new economic ecosystem. "App stores today obviously operate on gatekeeping," said Pierre Samaties, chief business officer at Dfinity, during the World Computer Summit. "That's going to erode." Rather than purchasing applications, users can clone them and modify them for their own purposes — fundamentally different from Apple's App Store or Google Play models. Williams acknowledges that Caffeine itself currently runs on centralized infrastructure, despite building applications on the decentralized Internet Computer. "Caffeine itself actually is centralized. It uses aspects of the Internet Computer. We want Caffeine itself to run on the Internet Computer in the future, but it's not there now," he said. The platform leverages commercially available foundation models from companies like Anthropic, whose Claude Sonnet model powers much of Caffeine's backend logic. This pragmatic approach reflects Dfinity's strategy of using best-in-class AI models while focusing its own development on the specialized infrastructure and programming language designed for AI use. "These content models have been developed by companies with enormous budgets, absolutely enormous budgets," Williams said. "I don't think in the near future we'll run AI on the Internet Computer for that reason, unless there's a special case." A decade in the making: From Ethereum roots to the self-writing internet The Dfinity Foundation has pursued this vision since Williams began researching decentralized networks in late 2013. After involvement with Ethereum before its 2015 launch, Williams became fascinated with the concept of a "world computer"—a public blockchain network that could host not just tokens but entire applications and services. "By 2015 I was talking about network-focused drivers, Dfinity back then, and that could really operate as an alternative tech stack, and eventually host even things like social networks and massive enterprise systems," Williams said. The foundation launched the Internet Computer Protocol in May 2021, initially focusing on Web3 developers. Despite not being among the highest-valued blockchain projects, ICP consistently ranks in the top 10 for developer numbers. The pivot to AI-driven development came from recognizing that "in the future, the tech stack will be AI," according to Williams. This realization led to Caffeine's development, announced on Dfinity's public roadmap in March 2025 and demonstrated at the World Computer Summit in June 2025. One successful example of the Dfinity vision running in production is OpenChat , a messaging application that runs entirely on the Internet Computer and is governed by a decentralized autonomous organization (DAO) with tens of thousands of participants voting on source code updates through algorithmic governance. "The community is actually controlling the source code updates," Williams explained. "Developers propose updates, community reads the updates, and if the community is happy, OpenChat updates itself." The skeptics weigh in: Crypto baggage and real-world testing ahead The platform faces several challenges. Dfinity's crypto industry roots may create perception problems in enterprise markets, Williams acknowledges. "The Web3 industry's reputation is a bit tarnished and probably rightfully so," he said during the World Computer Summit. "Now people can, for themselves, experience what a decentralized network is. We're going to see self-writing take over the enterprise space because the speed and efficiency are just incredible." The foundation's history includes controversy: ICP's token launched in 2021 at over $100 per token with an all-time high around $700, then crashed below $3 in 2023 before recovering. The project has faced legal challenges, including class action lawsuits alleging misleading investors , and Dfinity filed defamation claims against industry critics. Technical limitations also remain. Caffeine cannot yet compile React front-ends on the Internet Computer itself, requiring some off-chain processing. Complex integrations with traditional systems — payment processing through Stripe, for example — still require centralized components. "Your app is running end-to-end on the Internet Computer, then when it needs to actually accept payment, it's going to hand over to your Stripe account," Williams explained. The platform's claims about data loss prevention and security guarantees, while technically grounded in the Motoko language design and Internet Computer architecture, remain to be tested at scale with diverse real-world applications. The 26% daily active user rate from alpha testing is impressive but comes from a self-selected group of early adopters. When five billion smartphone users become developers Williams rejects concerns that AI-driven development will eliminate software engineering jobs, arguing instead for market expansion. "The self-writing internet empowers eight billion non-technical people," he said. "Some of these people will enter roles in tech, becoming prompt engineers, tech entrepreneurs, or helping run online communities. Humanity will create millions of new custom apps and services, and a subset of those will require professional human assistance." During his World Computer Summit demonstration , Williams was explicit about the scale of transformation Dfinity envisions. "Today there are about 35,000 Web3 engineers in the world. Worldwide there are about 15 million full-stack engineers," he said. "But tomorrow with the self-writing internet, everyone will be a builder. Today there are already about five billion people with internet-connected smartphones and they'll all be able to use Caffeine." The hackathon results suggest this isn't pure hyperbole. A dentist built "Dental Tracks" to help patients manage their dental records. A transportation industry professional created "Road Patrol" for gamified infrastructure reporting. A frustrated knitting student built "Skill Sprout," a garden-themed app for learning new hobbies, complete with material checklists and step-by-step skill breakdowns—all without writing a single line of code. "I was learning to knit. I got irritated because I had the wrong materials," the creator explained in a video interview. "I don't know how to do the stitches, so I have to individually search, and it's really intimidating when you're trying to learn something you don't—you don't even know what you don't know." Whether Caffeine succeeds depends on factors still unknown: how production applications perform under real-world stress, whether the Internet Computer scales to millions of applications, whether enterprises can overcome their skepticism of blockchain-adjacent technology. But if Williams is right about the fundamental shift — that AI will be the tech stack, not just a tool for human developers — then someone will build what Caffeine promises. The question isn't whether the future looks like this. It's who gets there first, and whether they can do it without losing everyone's data along the way.

Suppliers Already Preparing for iPhone 18's Camera

Suppliers Already Preparing for iPhone 18's Camera

The iPhone 18 is already driving major shifts deep in the semiconductor supply chain, as Samsung Electronics expands production of image sensors, prompting one of its key testing partners to invest over $120 million in new equipment, The Elec reports. Doosan Tesna, a South Korean post-process semiconductor testing company, this week announced that it will spend $123 million on test systems from Japan's Advantest, Samsung subsidiary Semes, and Japan Interaction. The investment is equal to 21.77% of the company's total assets, and will be completed in stages between 2026 and March 2027. The purchase is believed to be directly related to Samsung's new image sensor production line in Austin, Texas, which is expected to supply components for the ‌iPhone 18‌ in 2027. Samsung's return to Apple's camera image sensor supply chain marks its first in roughly a decade and could alter the long-standing dominance of Sony, which has provided nearly all iPhone sensors to date. Apple reportedly sought to diversify suppliers after delays in Sony's deliveries between 2023 and 2024. Doosan Tesna specializes in electrical testing of wafers after fabrication, a process that identifies defective chips before packaging and improves manufacturing yield. More than 90% of its revenue comes from Samsung's Foundry and System LSI divisions. Doosan Tesna's decision to diversify away from Teradyne equipment toward Advantest is also notable. Advantest systems are widely used for high-performance chips such as GPUs, memory, and AI processors, suggesting Samsung's new sensors for Apple may demand more advanced verification processes. Samsung's production line in Austin is a key element in Apple's effort to reduce reliance on Japanese suppliers and to expand production within the United States. If Samsung's sensors meet Apple's performance and reliability standards, the move could make it the company's second major image sensor supplier. Doosan Tesna's major financial commitment represents over one-fifth of its total assets, reflecting how preparations for Apple's future iPhones are already reshaping global semiconductor investment over a year before production begins. Related Roundup: iPhone 18 Tag: The Elec Related Forum: iPhone This article, " Suppliers Already Preparing for iPhone 18's Camera " first appeared on MacRumors.com Discuss this article in our forums