Latest News

Apple’s upcoming Pro‑level iPhone may debut one of the most substantial camera overhauls the company has delivered in years. However, new analyst data cited by Forbes suggests the upgrade could also push manufacturing expenses up considerably, sparking fresh concerns about whether future iPhone prices might climb even higher.

The latest leak focuses on the iPhone 18 Pro and iPhone 18 Pro Max, which are expected to launch a variable‑aperture camera system. Supply‑chain analyst Ming‑Chi Kuo estimates that the new camera module could cost Apple roughly 50 % more than the hardware currently installed in its Pro devices.

While that figure may not seem dramatic at first glance, camera systems have become one of the costliest and most critical components in modern flagship phones.

**A camera upgrade Apple has been chasing for years**

Rumors about variable‑aperture technology have circulated for several iPhone generations, and recent reports indicate the feature has finally entered production for the iPhone 18 Pro line‑up. Unlike today’s Pro models, which rely on a fixed‑aperture lens, the new design would let the lens physically adjust the amount of light reaching the sensor. In practice, this translates to better exposure control, greater flexibility in low‑light situations, and potentially more natural background blur without depending entirely on software processing.

Apple has largely leaned on computational photography to boost image quality, but a variable aperture would represent a more traditional hardware improvement, similar to features already seen on some high‑end Android smartphones.

According to Kuo, the new lens assembly is significantly pricier than the seven‑element plastic lens system Apple currently uses. Chinese supplier Sunny Optical is expected to manufacture a large portion of the upgraded component.

**Why it matters**

The larger narrative may not be the camera itself, but what it could signal for future iPhone pricing. Apple has so far avoided major price hikes on its flagships despite rising memory costs, more advanced chips, and increasing production expenses. Yet reports indicate the iPhone 18 Pro series is stacking several costly upgrades at once – the new camera tech, next‑gen silicon, and added connectivity features.

This has fueled speculation that Apple might eventually have to pass some of those costs onto consumers.

Online reactions are already mixed. Some users view variable aperture as a genuine photography breakthrough, while others argue that most everyday users may never notice enough of a difference to justify a higher price tag.

**What’s next**

Apple is slated to unveil the iPhone 18 Pro lineup in late 2026, with some reports suggesting the devices could arrive alongside the company’s first foldable iPhone.

For now, it remains uncertain whether the higher camera costs will directly translate into retail price increases. Historically, Apple has absorbed component cost rises to keep pricing stable, especially in highly competitive markets.

Nevertheless, if the leaks prove accurate, the iPhone 18 Pro could become a litmus test for how much consumers are willing to pay for advanced camera hardware. Apple clearly believes superior photography remains a key driver for upgrades, but the question is whether buyers will feel the same when the improvements come with a heftier price tag.

Questionable referee decisions have become a recurring source of frustration for the NBA, especially during the playoffs when every possession is dissected online within seconds. The league now appears ready to lean heavily on artificial intelligence in an effort to lessen controversial calls and calm the growing fan anger over inconsistent officiating.

According to recent remarks from Adam Silver, the NBA is actively investigating how AI can enhance officiating, replay analysis, and in‑game decision‑making. The conversation comes as criticism of referees has intensified league‑wide, with social‑media clips and slow‑motion replays instantly exposing missed whistles to millions of viewers.

The NBA wants AI to assist officials rather than replace them

Speaking about the future of officiating, Silver suggested that AI could eventually help pinpoint incorrect calls in real time and support referees during games, rather than fully supplant human officials. The league sees artificial intelligence as a tool to boost consistency, cut human error, and deliver more accurate calls under pressure.

The NBA already relies heavily on technology through replay centers, player‑tracking systems, and advanced analytics. However, AI integration would push this further by potentially analyzing movement patterns, contact, positioning, and foul situations instantly during live play.

One of the league’s biggest concerns appears to be maintaining trust in officiating. Referee criticism has exploded in recent years as fans increasingly accuse officials of inconsistency, bias, or simply missing obvious calls during critical moments. The rise of sports betting has also intensified scrutiny around officiating decisions, since controversial calls can directly affect wagers alongside game outcomes.

Silver acknowledged that officiating remains one of the most difficult parts of professional basketball because referees must make split‑second decisions while tracking ten players moving at extreme speed. AI, according to the NBA’s thinking, could act as an additional layer of support capable of processing far more visual information simultaneously than a human crew.

At the same time, the league does not appear interested in removing referees entirely. Instead, AI would likely function more as an intelligent assistant integrated into replay systems, game reviews, and real‑time officiating support.

Why this matters

The NBA’s interest in AI reflects a much broader trend happening across professional sports. Leagues worldwide are increasingly experimenting with technology to reduce controversy and improve fairness.

Tennis already uses automated line‑calling systems, football leagues are heavily dependent on VAR, and baseball continues to expand automated strike‑zone testing. Basketball may now be heading toward its own AI‑assisted officiating era.

For fans, the appeal is obvious. Fewer missed calls could mean fewer games overshadowed by officiating controversies rather than actual basketball. However, the idea is also controversial. Many fans already complain that replay reviews slow games down too much. Introducing AI into officiating could create concerns around over‑analysis, delays, or removing the human element that has always existed in sports.

What happens next

The NBA is still in the early stages of exploring how AI could fit into officiating workflows, and there is currently no timeline for full implementation. Still, the league’s direction is becoming increasingly clear. As AI tools improve, the NBA appears determined to use technology more aggressively to protect the credibility of officiating and reduce fan frustration.

Whether AI can actually solve the referee problem is another question entirely. But for a league constantly battling viral outrage over bad calls, even partial improvements may be enough to justify the experiment.

Snapchat already contains a myriad of tiny icons that can be surprisingly tricky to interpret. From streaks and emojis to badges, scores, Best Friends, and—if you’re a Snapchat Plus subscriber—a miniature solar system indicating your rank in someone’s closest‑friends list.

What is the Friend Solar System?

The feature, officially named Friend Solar System but commonly referred to as Snapchat Planets, converts your standing in a friend’s Snapchat orbit into a planetary symbol. Ranging from Mercury to Neptune, each “planet” reflects how close you are to that person.

Snapchat Planets explained

When the Friend Solar System is turned on, Snapchat visualises a friend’s Best Friends list as a solar system, with that friend acting as the sun and you as one of the orbiting planets.

In plain language, the planet you see indicates your rank on that friend’s Best Friends list: Mercury means you’re their top Snapchat contact, Venus is second, Earth is third, and so forth.

To view it, open a user’s Friendship Profile and tap the Best Friends or Friends badge outlined with a gold ring. Snapchat will then display which planet you occupy in their system. Remember, the planet you see reflects your position in *their* system only; it doesn’t automatically mirror your own ranking of them.

Order and meaning of the planets

The lineup follows our real solar system, excluding Pluto. Mercury is the innermost, Neptune the outermost.

• Mercury
• Venus
• Earth
• Mars
• Jupiter
• Saturn
• Uranus
• Neptune

So, if you tap a badge and see Earth, you’re third in that friend’s Snapchat hierarchy. Spotting Neptune means you’re still within their top eight, just farther out.

Best Friends vs. Friends badges

Snapchat Planets can appear via two different badges: Best Friends and Friends. A Best Friends badge indicates mutual inclusion in each other’s closest‑friends circles. In contrast, a Friends badge shows you’re in their Solar System, but the relationship may not be reciprocated in the same way.

Either badge will reveal your planet as long as you have Snapchat Plus and the feature is active.

How to check your Snapchat Planet

1. Open Snapchat.
2. Navigate to a friend’s Friendship Profile.
3. Locate a Best Friends or Friends badge with a gold ring.
4. Tap the badge.
5. Snapchat will display the planet you occupy in that friend’s Solar System.

If no badge appears, it usually means you lack Snapchat Plus, the Friend Solar System isn’t enabled, or you’re not listed in that person’s visible ranking.

Activating Snapchat Planets

First, you need a Snapchat Plus subscription. Prices differ by region and plan; the most reliable way to see the current cost is within the Snapchat app or on Snapchat’s subscription page. Some regions also offer multiple Plus‑related plans.

After subscribing, you may still have to enable Friend Solar System manually:

1. Open Snapchat and go to your profile.
2. Tap your Snapchat Plus membership card or banner.
3. Enter the Snapchat Plus feature‑management screen.
4. Locate “Solar System” or “Friend Solar System”.
5. Switch it on.

Coming back from a recent trip, I found myself sorting through a pile of photos that needed a little cleanup. Nothing dramatic. A distracting object here, an awkward background detail there. My first thought was Photoshop, but the full version requires a subscription, and I’m neither skilled enough to justify paying for it nor in need of everything it offers.

Mobile editing apps weren’t much more appealing. I have fat fingers, and there’s a special kind of frustration that comes from trying to make a precise adjustment on a phone screen only to tap the wrong thing three times in a row.

So I figured I’d try the obvious alternative. AI image tools have been improving at a remarkable pace, and every company in tech seems convinced that the prompt box is the future. Why not see if I could simply describe the edits I wanted and let the machine handle the rest?

And, to be fair, it worked. Sometimes. Other times it felt like I was trapped in a polite argument with software that kept misunderstanding perfectly reasonable instructions. The experience was enough to make me realize that image editing is changing rapidly, but not necessarily becoming simpler.

Why every editor wants to become a chat box

That exchange is quickly becoming the new shape of image editing. Adobe is building Firefly deeper into Photoshop and experimenting with conversational creative assistants. Canva has turned design tasks into a buffet of “Magic” buttons. Google’s Gemini image tools, ChatGPT image generation, Midjourney, Ideogram, Runway, and every other ambitious visual AI platform are circling the same idea: editing should feel less like operating software and more like asking for help.

The reason isn’t mysterious. Most people never wanted to become Photoshop monks. They didn’t want to memorize selection tools, blend modes, adjustment layers, healing brushes, and the sacred difference between “Save” and “Export as.” They wanted to erase a person from the background, fix a crooked photo, extend a scene, make a product shot less ugly, or generate something good enough for a presentation without opening a tutorial that begins with “first, understand non-destructive workflows.”

The prompt box is seductive because it skips the ceremony. It doesn’t ask whether you know what a layer mask is. It asks for a result.

The appeal is obvious, and sometimes it really does feel like liberation. A casual user can now do in 20 seconds what once required patience, software knowledge, or a friend who owned Photoshop and owed them a favor. The old barrier was technical. The new barrier is fuzzier: you still need to know what looks right, what looks fake, and where the machine has quietly decided to improvise.

When editing becomes negotiation

The problem is that asking for help isn’t the same as getting help. Anyone who’s used AI image tools for more than five minutes knows the little emotional dip that happens when the result is almost right, which somehow makes it more annoying. The person is gone, but the background now has the texture of melted wallpaper. The lighting is better, but the whole photo looks like it was shot for a luxury dentist. The object moved where you wanted it, but the AI quietly redesigned the table, changed the shadows, and added a mysterious extra finger because apparently hands are optional.

This is where editing becomes negotiation. You’re not only editing the image anymore. You’re editing the request. Make it warmer, but don’t make it fake. Remove that object, but keep the background natural. Make the sky moodier, but don’t turn it into a fantasy poster. Keep the face the same, which shouldn’t need saying, but very much does.

Old editing tools were annoying because they made you learn their rules. Prompt-based editing is annoying because it pretends language is enough, which is generous nonsense. Language is mushy, visual judgment is slippery, and AI models have a bad habit of being confident in the way a mediocre intern is confident: fast, eager, and occasionally convinced that the brief included a second moon.

“Zoom and enhance!”

The marketing version promises instant designers. The reality is smaller and less flattering: more people can now make design-shaped things without understanding the machinery underneath. That’s still a meaningful shift. It just deserves more suspicion than any product demo where every prompt works on the first try.

The first result is often the best sales pitch. It can look shockingly good at a glance, especially when the edit is simple. Then you ask for corrections. Fix the lighting. Restore that detail. Make the face less waxy. After a few rounds, the image can start drifting away from itself. Details soften, people turn into blobs, and the clean little edit becomes less impressive the harder you try to fix it.

For professionals, that can be useful without being relaxing. The boring work gets faster, but the supervision gets heavier. Someone still has to catch the flattened image, broken composition, softened detail, and impressive-for-three-seconds output before anyone else sees it. Some of the job moves from doing to directing, which sounds cleaner until the intern keeps giving everyone porcelain skin and suspiciously perfect lighting.

For casual users, the interface gets friendlier and the power gets closer. The frustration just gets harder to name. When a traditional editor annoyed you, at least the villain had buttons. When an AI editor gets a reasonable request wrong, the problem starts to feel like a conversation going badly.

Photoshop will survive. Powerful tools usually do. But its old logic is being absorbed into a simpler, stranger interface. The future of editing may not be learning where the tools are. It may be learning how to talk to a machine that keeps pretending it understood you.

For years, AI assistants have largely lived inside chat windows: you ask a question, they answer, and the exchange ends. Google now appears ready to take that concept much further with Gemini Spark, a new AI agent that is being rolled out to all Google AI Ultra subscribers in the United States. Instead of hopping between multiple apps and manually handling tasks, you can delegate the work to Gemini Spark and let it operate in the background.

Google says Gemini Spark can act autonomously across your digital ecosystem, completing tasks even when your phone or laptop is off. Users may watch it perform actions in real time or let it run silently behind the scenes. Crucially, Google emphasizes that the system stays under the user’s control and is designed to request permission before carrying out any major actions.

**Google wants AI to become the middleman**

The debut of Gemini Spark highlights a broader shift in the AI sector. Companies are no longer satisfied with chatbots that merely answer queries; the next frontier is AI agents that can actually perform tasks on your behalf. Imagine asking an assistant for restaurant suggestions, then having it compare options, book a reservation, add the event to your calendar, and remind you when it’s time to leave. That’s the kind of capability many AI firms are pursuing.

Google’s strategy suggests it wants Gemini to serve as the layer between users and the apps they rely on daily. Rather than bouncing between services, the AI becomes the coordinator that links them all.

**The biggest challenge isn’t capability**

The technology itself may not be the hardest sell; gaining trust will be. Most people are comfortable letting AI summarize an email or answer a question. Granting it permission to act independently is a very different proposition. Even with approval checkpoints, many users will likely demand proof that an AI agent can make reliable decisions without creating new problems.

That’s why Gemini Spark feels like more than just another feature update. It offers an early glimpse of a future where AI doesn’t merely respond to commands but actively manages parts of your digital life. Whether users are ready for that level of automation remains an open question, but Google is clearly betting that the next step in AI is getting people comfortable enough to let AI take action on their behalf.

For years, AI assistants have mostly lived in chat windows. You ask a question, they answer it, and the interaction ends there. Google appears ready to push that idea much further with Gemini Spark, a new AI agent that is now rolling out to all Google AI Ultra subscribers in the U.S. So, instead of opening multiple apps and manually managing tasks, you hand the job to Gemini Spark and let it work in the background.

According to Google, Gemini Spark can operate autonomously across your digital ecosystem, handling tasks even when your phone or laptop is turned off. Users can either watch it work in real time or let it run quietly in the background. Importantly, Google says the system remains under user control and is designed to seek approval before taking significant actions.

Google wants AI to become the middleman

The arrival of Gemini Spark highlights a broader shift happening across the AI industry. Companies are no longer satisfied with building chatbots that answer questions. The next frontier is AI agents that can actually do things on your behalf. Think of the difference between asking an assistant for restaurant recommendations and having it compare options, make a reservation, add it to your calendar, and remind you when it’s time to leave. That’s the vision many AI companies are chasing.

Google’s approach suggests it wants Gemini to become the layer between users and the apps they rely on every day. Rather than jumping between services, the AI becomes the coordinator that connects them all.

The biggest challenge isn’t capability

The technology itself may not be the hardest sell; trust will be. Most people are comfortable letting AI summarize an email or answer a question. Giving it permission to act independently is a very different proposition. Even with approval checkpoints in place, many users will likely want proof that an AI agent can reliably make decisions without creating new problems.

That’s why Gemini Spark feels like more than just another feature update. It’s an early glimpse at a future where AI isn’t simply responding to commands but actively managing parts of your digital life. Whether people are ready for that level of automation remains an open question. But Google is clearly betting that the next step in AI is getting users comfortable enough to let AI take action on their behalf.

Scanning documents from a phone has always been a frustrating experience, especially on Android smartphones. You’ve to scan one page at a time, blurry captures you don’t notice until after, or accidentally hovering over the same page twice; all these issues bother users on a day-to-day basis. 

Well, Google Drive’s new document scanner redesign fixes all three problems at once. Announced by Sameer Samat, the President of Android Ecosystem at Google, the feature is now rolling out for Android users.

What’s actually new in the Google Drive scanner?

The biggest change, in my opinion, is Smart Batch Scanning. Instead of hitting the capture button for each page, you can simply hover your phone over a bunch of documents arranged on a table or your bed, as if you’re recording a video.

The tool identifies each one of them and separates them into individual documents. You also get a pause button to disable auto-scanning in the middle of the session, along with a system file picker that lets you add pictures you’ve already taken. 

Apart from batch scanning, you also get Auto-Best Frame and Duplicate Detection. While the former replaces blurry images with the sharpest frame available from what you capture, the latter identifies pages you’ve scanned twice and skips them automatically. 

Is there a catch?

Google Drive’s scanner also gets a redesigned interface, which drops the old beaker icon in the top-right corner in favor of a cleaner Material 3 Expressive viewfinder. Since the feature is embedded within Google Play Services, it also works in the Files by Google app, and not just Google Drive. The catch, however, is slightly disappointing. 

The entire automated scanning experience runs on the device: it works offline and keeps your documents off Google’s servers. And it’s because of the on-device processing that it requires at least 8GB of RAM. So, if your Android device doesn’t meet that requirement, you won’t have access.

Scanning documents on a phone has always been a pain, especially on Android devices. Users often have to capture each page separately, deal with blurry shots that aren’t obvious until later, or accidentally scan the same page twice – all everyday annoyances.

The latest redesign of the Google Drive document scanner tackles these three issues at once. Announced by Sameer Samat, President of Android Ecosystem at Google, the update is now being rolled out to Android users.

What’s new in the Google Drive scanner?

The most significant addition, in my view, is Smart Batch Scanning. Instead of pressing the capture button for every single page, you can simply sweep your phone over a stack of documents placed on a table or bed, much like recording a video.

The scanner recognises each sheet, separates them into individual files, and even includes a pause button that lets you stop auto‑scanning mid‑session. A system file picker also lets you import pictures you’ve already taken.

Beyond batch scanning, the update introduces Auto‑Best Frame and Duplicate Detection. Auto‑Best Frame automatically swaps blurry captures for the sharpest frame available, while Duplicate Detection spots pages you’ve scanned twice and skips them.

Is there a catch?

The scanner also receives a refreshed interface, swapping the old beaker icon in the top‑right corner for a cleaner Material 3 Expressive viewfinder. Because the feature is built into Google Play Services, it works in the Files by Google app as well as Google Drive. The downside, however, is a bit disappointing.

The entire automated scanning process runs on‑device, meaning it works offline and keeps your documents away from Google’s servers. This on‑device processing demands at least 8 GB of RAM, so devices that don’t meet that threshold won’t be able to use the feature.

When Apple introduced the MacBook Neo in March for $599, it gave Windows laptop manufacturers a serious challenge. Powered by the A18 chip, the Neo quickly became a top recommendation for students and casual users who didn’t need a Windows machine.

Now Acer is fighting back with the Swift Air 14, a 14‑inch notebook unveiled just before Computex 2026. Priced from $699, it runs on Intel’s latest Core Series 3 processors, also known as Wildcat Lake. On paper, it appears to be one of the first genuine attempts to create an affordable Windows laptop that can sit next to Apple’s Neo without being completely outclassed.

Wildcat Lake still has a performance problem

The biggest question revolves around performance. The Swift Air 14 is offered with either a Core 5 or Core 7 Wildcat Lake chip, both featuring six cores. Early testing shows these CPUs improve on older budget parts, but they still lag noticeably behind Apple’s A18. That performance gap makes the Swift Air 14 a tougher sell, especially since it starts $100 above the Neo.

There’s another drawback: the Swift Air 14 won’t qualify as a Copilot+ PC because its NPU delivers only 17 TOPS. In plain language, running AI features locally on this laptop will be challenging.

The likely base configuration also raises eyebrows. Acer says the model supports up to 16 GB of LPDDR5 RAM and up to 512 GB of storage, yet the $699 version is expected to ship with 8 GB of RAM and a 256 GB SSD. That may be adequate for light users, but 8 GB on a Windows 11 machine can feel cramped once multiple browser tabs, Teams, background apps, and updates start piling up.

Acer may still have a few practical wins

The Swift Air 14’s strongest asset could be its overall hardware package. It sports a 14‑inch WUXGA panel (1920 × 1200) with a 16:10 aspect ratio, 120 Hz refresh rate, 350 nits brightness, and 100 % sRGB coverage. It isn’t the sharpest or brightest screen in its class, but the higher refresh rate is a pleasant addition.

The notebook is powered by a 70 Wh battery, with Acer claiming up to 19 hours of video playback and up to 16 hours of web browsing. It’s also slim and lightweight at 1.25 kg and just 12.9 mm thick, featuring an aluminum chassis available in sage green, frost blue, blossom pink, and lilac purple.

Additional practical features include an FHD IR webcam with a privacy shutter, Windows Hello facial recognition, quad stereo speakers, dual digital microphones, Wi‑Fi 6E, Bluetooth 5.3, two USB‑C ports, one USB‑A port, and a headphone jack.

While the Swift Air 14 may not surpass the MacBook Neo in raw performance, it still offers Windows shoppers a stylish, portable, and long‑lasting alternative.

Dell released a wave of new laptops on May 29, 2026, just four days before Computex 2026 opens in Taipei on June 2. Amid a loaded spec sheet, nearly every flagship model in the new batch offers optional 5G cellular connectivity.

While the capability has traditionally been reserved for ultraportable or enterprise‑grade devices, Dell is signalling that always‑connected laptops are no longer a niche requirement.

Which Dell laptops now offer 5G in the US?

There are three models in this batch that ship with optional 5G cellular connectivity, all from the Pro 7 Series family.

First, the Pro 7 Series 13 2‑in‑1 compact laptop runs on Intel Panther Lake and is priced at $2,539 in the US for a custom build, or $2,989 for a pre‑configured unit.

You can configure it with up to a 16‑core Intel Core Ultra 7 366H processor, 64 GB of LPDDR5X RAM, a 2 TB PCIe Gen 5 SSD, Wi‑Fi 7, and optional 5G. The top‑end spec reaches $6,353.

For a more budget‑friendly option, the Pro 7 Series 13 2‑in‑1 with AMD Ryzen AI 400 (P703265) starts at $2,421 configured. It can be equipped with the Ryzen AI 9 HX Pro 470, 64 GB of LPDDR5X‑8533 RAM, 2 TB PCIe Gen 5 storage, Wi‑Fi 7, and optional 5G connectivity.

If a larger display is desired, the Pro 7 Series 14 2‑in‑1 also offers the 5G option and comes in both AMD and Intel variants. The AMD model (P704265) begins at $2,552, while the Intel version (P704260) starts at $2,719. Both support up to 64 GB RAM and 2 TB PCIe Gen 5 storage.

What else did Dell launch in the US without 5G?

Dell also introduced three non‑5G laptops in the US this week. The Pro Precision 5 Series 14 (PW514261) is a 14‑inch workstation starting at $2,577, featuring Intel Panther Lake with vPro, up to 64 GB of LPCAMM2 RAM, and a unique Ubuntu Linux 24.04 LTS option alongside Windows 11 Pro.

Finally, the Pro 3 Series 14 and Pro 3 Series 16 are the most affordable devices in this release, priced at $1,579 and $1,569 respectively. Both run Intel Wildcat Lake processors, support up to 48 GB RAM, and offer optional 120 Hz displays.