NVIDIA Ships Out First Batch of $3999 AI Supercomputers...

Nvidia’s long-teased, developer-centric mini-PC is finally leaving preorders and hitting shelves: the DGX Spark goes on sale this week (online at Nvidia and through select retailers such as Micro Center) with a street price that landed around $3,999 in early listings. 

Think compact workstation, not consumer desktop. The Spark packs Nvidia’s new GB10 Grace Blackwell “superchip” — a 20-core Arm-based Grace CPU tightly paired with a Blackwell GPU — into a palm-sized chassis delivering about a petaflop of FP4 AI throughput. It ships with 128 GB of unified LPDDR5x system memory and up to 4 TB NVMe storage, and it’s preconfigured with Nvidia’s AI stack so you can jump into training and fine-tuning mid-sized models locally. Those are not marketing-only numbers: Nvidia positions the Spark for local experimentation on models up to ~200B parameters, and two Sparks linked together can be used for even larger (Nvidia cites ~405B parameter) workloads. 

Under the hood it’s Linux first: DGX Spark runs DGX OS, Nvidia’s Ubuntu-based distro tuned for the Grace/Blackwell stack and preloaded with CUDA, frameworks, and the company’s NIM/Blueprint toolsets — in short, a developer environment that’s meant to feel familiar to anyone who’s spent time on Linux-based model development. That linux/ARM orientation also signals this isn’t optimized as a plug-and-play Windows gaming box; it’s built to be a compact node in an AI workflow. 

Why this matters for the Valley (and who will buy it)

Nvidia is selling the Spark as a way to bring datacenter-class AI tooling to labs, startups, and university benches without immediately routing everything to cloud instances. For teams iterating on model architectures, RLHF loops, or multimodal prototypes, being able to run large-parameter models locally — with 128 GB of coherent memory and GB10’s integrated memory architecture — cuts friction on experiments and iteration cycles. It also enables fast prototyping of models that can later scale to larger DGX setups or cloud clusters. 

Practically: expect early adopters to be small AI teams that value low-latency development cycles, research labs wanting local reproducibility, and edge-oriented startups that prefer on-prem inference for privacy or cost reasons. For generalists and gamers, the Spark’s ARM/Linux DNA and software focus make it a niche purchase. (Enthusiasts will still tinker, but this is not marketed as a consumer GPU box.) 

The ecosystem angle

Nvidia isn’t going it alone: OEMs including Acer, Asus, Dell, Gigabyte, HP, Lenovo, MSI and others are shipping their own DGX Spark variants and the larger DGX Station desktop tower — the Station uses the beefier GB300/Grace Blackwell Ultra silicon and targets heavier local training workloads. That OEM breadth makes Spark part of a broader push to make DGX software + silicon a platform developers can buy from many vendors. 

Networking and scale matter here: Spark includes high-speed ConnectX networking (and QSFP/200G options) so two Sparks can cooperate as a small cluster for models larger than what a single unit can handle — a practical way to prototype distributed inference without immediately renting a rack. 

Caveats and hard truths

Software compatibility. The Spark’s Arm-centric platform and DGX OS make the CUDA/tooling story smooth for supported stacks, but expect some extra work for niche toolchains or Windows-first workflows. If your pipelines assume x86 Windows tooling, factor in integration time. 

Thermals & real-world throughput. A petaflop of FP4 in a tiny chassis is impressive, but sustained training on huge models still favors larger systems (and racks) with beefier cooling and power budgets. The Spark is best framed as a development node and prototyping workhorse. 

Pricing vs cloud. At ~$3,999 per node (retail listings), teams need to weigh capital expenditure against cloud flexibility — Spark is most compelling when local iteration speed, data privacy, or long-term TCO favor owning hardware. 

Watch how quickly third-party software (e.g., Docker Model Runner, popular MLOps stacks, and smaller OSS frameworks) certify Spark and DGX OS workflows; that will determine the friction for real-world adoption. Docker has already flagged support, which is a positive sign for quick onboarding. 

Nvidia’s wider silicon roadmap: there are signals (and comments from Nvidia leadership) that similar GB10/N1 designs could make their way into more consumer-facing devices down the line, and MediaTek collaboration threads hint at broader ARM partnerships — keep an eye on where Nvidia pushes ARM into the mainstream PC market. 

Final Thought

Nvidia’s DGX Spark is a tidy, ambitious product: it distills a lot of datacenter capability into a desktop footprint with a clear audience in mind — developers iterating on large models, labs that need local reproducibility, and startups that want a deterministic development environment. It’s not a replacement for scale-out clusters, but it’s a meaningful step toward decentralizing serious AI development outside the data center — provided your team is ready for Linux/ARM toolchains and the upfront hardware buy.

-----------
Author: Trevor Kingsley
Tech News CITY // New York Newsroom

Read More

Samsung Goes Where Apple Failed - Can Their AI Properly Summarize Your Text Messages?

Samsung looks like it’s about to borrow a page from Google—and even Apple—by rolling out AI-powered notification summaries on Galaxy phones.

According to firmware leaks spotted by SamMobile, Samsung’s upcoming One UI 8.5 update will include a feature that can condense long chats into quick recaps. A pop-up in the leaked build showed the message:

“Your longer conversations can now be summarized to give you quick recaps.”

The example popped up with a WhatsApp notification, hinting that this tool is focused on messaging apps.

How it works

The settings page shows you’ll be able to turn the feature on or off, exclude specific apps if you’d rather not have their notifications summarized, and that the summaries are powered by Google’s AI models—not something homegrown from Samsung.

If this sounds familiar, it should. Google’s been building a similar notification summary feature into Android 16 for Pixel phones, though it hasn’t actually gone live yet. Samsung seems poised to be the first to ship it, debuting in One UI 8.5.

Lessons from Apple’s misstep

Apple already tried something like this with its “Apple Intelligence” rollout. The results? Mixed at best. Summaries were sometimes so inaccurate that Apple ended up disabling the feature for certain apps. Samsung and Google appear to be hedging against that by keeping the feature strictly limited to messaging apps, rather than every notification under the sun.

That doesn’t mean there won’t be hiccups—anyone who’s used Apple’s version has a story about a hilariously wrong summary—but the narrower scope could help avoid the worst-case scenarios.

When to expect it

One UI 8.5 is expected to launch alongside the Galaxy S26 early next year. If the leaks hold true, Galaxy owners may soon get their first taste of AI-generated notification summaries—hopefully with fewer headaches than Apple’s first attempt.

----------
By: Grant Kennedy
TechNewsCITY Silicon Valley

Read More

Alibaba's New AI Chip: China Sends it's Corporate Goliath to Take Another Swing at Nvidia's Market Domination...

Alibaba has entered the competitive AI chip sector with a new homegrown processor, creating significant buzz in the industry. This development has already impacted the market, causing NVIDIA's stock to drop over 3%, while Alibaba’s shares surged by 12%.

The Facts Behind the Chip

Recent reports indicate that Alibaba is testing a new AI chip specifically designed for AI inference. 

Unlike Alibaba's earlier chips, which were produced by Taiwan's TSMC, this new processor is being manufactured domestically by a Chinese company. This shift highlights a commitment to local production. The chip is expected to be more versatile than previous models, capable of handling a wider range of AI tasks.

The Timing: A Strategic Move

Alibaba's decision to develop this chip is not just a casual venture; it is a strategic response to geopolitical tensions and trade restrictions that have made it challenging for Chinese companies to access NVIDIA's advanced technology.

With U.S. restrictions limiting access to NVIDIA's high-end chips, Alibaba is taking the initiative to develop its own solutions. The company has committed to investing at least 380 billion Chinese yuan (approximately $53.1 billion) in AI development over the next three years, signaling its serious intent.

Strategic Focus: Internal Use

Rather than selling the chip commercially, Alibaba plans to use it exclusively for its cloud services, allowing customers to rent computing power rather than purchase hardware. This approach leverages Alibaba's existing cloud infrastructure, which has already demonstrated impressive growth, with a 26% year-over-year increase and consistent triple-digit growth in AI-related product revenue.

Technical Details: What We Still Don’t Know

While the announcement is exciting, specific performance details remain unclear. Questions about how this chip compares to NVIDIA's offerings—such as speed and efficiency—are still unanswered. Additionally, the timeline for its market readiness is uncertain, as Alibaba has a history of taking time to launch new products.

The Bigger Picture: A Shift in Tech Independence

This development reflects a broader trend of Chinese tech companies striving for independence from American technology. Alibaba's chip initiative is part of a larger strategy to create a self-sufficient technological ecosystem. While financial investment is crucial, building competitive semiconductors also requires advanced technical expertise and long-term partnerships.

Looking Ahead

In the short term, Alibaba may remain cautious about releasing performance metrics until they are confident in the chip's capabilities. If the chip performs well, Alibaba could expand its internal use and potentially license the technology to other Chinese companies. In the long term, this could either mark a significant advancement for China's semiconductor industry or serve as a costly learning experience.

The Nvidia Wildcard

There's one chip we know even less about than Alibaba's - and that's Nvidia's next chip, code named 'Rubin' we talked about here.  At least according to rumors, it may double the performance of their newest, publicly available chips. Considering it's unlikely Alibaba has been able to match Nivdia's current performance, doubling that would leave any competitor in the dust.  

In any other circumstance this would sound far-fetched, but when it comes to GPU's Nvidia has such a head start and is credited with inventing a large portion of how these chips function, when it comes to development their advantage can't be dismissed. 

Conclusion

Regardless of the outcome, Alibaba's new chip signifies a determined effort by Chinese tech firms to shape their own technological future. As the AI chip competition continues, the stakes are high, with significant implications for both domestic and global markets. The world will be watching closely to see how this unfolds. What are your thoughts? Will Alibaba's efforts succeed, or is NVIDIA's position too strong to challenge? Only time will tell.
_________________

Author: Ross Davis
Silicon Valley Newsroom | Tech News CITY

Read More

AI Music Platform Suno has Something Big in The Works...

AI music platform Suno has been steadily redefining how artists create. Now, the company has dropped a teaser for something called Suno Studio—and if what they’re hinting at is even half true, it could be the biggest leap forward in AI-assisted production since the DAW went digital.

A Blank Canvas That Moves With You

From Suno’s own words, Suno Studio isn’t just another music app—it’s "an audio workstation that reflects your imagination." The pitch is clear: whether you start with a blank project, a single vocal line, a rough voice memo, or even a fully produced track, the platform will adapt to your workflow.

This isn’t about pre-made loops or generic AI backing tracks—it’s about stem-by-stem creation. Suno says you’ll be able to build songs one element at a time—drums, bass, synths, vocals—each generated or imported as its own stem. This means you can replace individual parts, rework arrangements, or strip everything down to one sound and rebuild from there.

Stem Control, MIDI Freedom

One confirmed feature that’s a big deal for producers: MIDI export. That means you’re not locked into the audio you get out of Suno Studio—you can take those AI-generated parts and tweak them in your favorite DAW, change instruments, adjust performance nuances, or re-sequence entirely.

This could turn Suno Studio into a powerful idea generator: sketch the bones of a song in minutes, then finish it in Ableton, Logic, FL Studio, or Pro Tools without compromise.

The AI DAW Dream

Right now, music AI tools often sit outside the main production process. You might generate a melody in one app, beats in another, then manually drag files into your DAW. Suno Studio is hinting at something different—an all-in-one creative space where AI, human input, and traditional production tools coexist seamlessly.

If Suno makes good on their promise, you could:

Hum a melody into your mic and get multiple arrangement ideas instantly.

Build a song in layers, swapping in AI-generated stems on the fly.

Blend your own recorded instruments with AI parts that adapt to your style.

Export MIDI to take your work even further in another DAW.

“Unlock What’s Already Inside”

Suno’s marketing line, "Unlock what’s already inside," suggests a heavy emphasis on personalization. The AI could learn your preferences—favorite chord progressions, rhythmic feels, sound palettes—and then generate ideas that feel like they came straight from your own creative brain.

If that’s the case, Suno Studio might evolve into a kind of creative partner rather than just a tool—one that not only keeps pace with your ideas but anticipates them.

Built for Everyone From Bedroom Producers to Studio Pros

While the teaser positions Suno Studio as an intuitive space for “musicians, producers, and creators of all kinds,” it’s easy to imagine it having two equally passionate audiences:

Newcomers who’ve never touched a DAW but want to create full songs quickly.

Experienced producers who want a rapid prototyping engine for song ideas without losing control over arrangement and sound.

With stem-by-stem flexibility and MIDI export, Suno Studio could bridge those worlds, making it equally useful for casual creativity and professional production.

Why This Could Be Huge

If Suno executes this right, we might be looking at the first truly AI-native DAW—a platform that merges generative intelligence, traditional production tools, and user-driven control into one fluid creative environment.

It’s the difference between AI music as a gimmick and AI music as a serious production workflow.

If Suno’s promise of "pushing your ideas beyond what you imagined" holds up, Suno Studio won’t just change how we make music—it might change who gets to make it.

If you want, I can follow this up with a high-energy, tech-journalism style “launch hype” version so it reads like a breaking news announcement from a music tech blog. That would give it even more punch.

You can join the waitlist on their website.

-----------
Author: Grant Kennedy
Tech News CITY // New York Newsroom

Read More

The High-Tech Fashion Startup with Pants that LOOK Like Denim Jeans, but FEEL Like a Pair of Comfortable Pajamas...

A startup is quietly disrupting fashion with pants that look like denim but feel like pajamas—and the internet’s obsession is just getting started.

In a world where fashion often demands comfort take a back seat, one brand  is flipping the narrative, by lying to your eyes and pampering your legs.

They're called Comforfeit (comfortable, counterfeit jeans) and at first glance, their pants look like your favorite pair of casual blue jeans. But once you touch them (or better yet, wear them) you’ll realize you’ve been fooled. These aren’t jeans at all - they’re high-resolution printed loungewear disguised as denim, and they might just be the comfiest pants you’ll ever wear.

“You shouldn’t have to suffer to look put together. We engineered something that’s stylish enough for the streets, but feels like you never left the couch.” said a spokesperson for Comforfeit.

The name itself is a cheeky mashup of "comfort" and "counterfeit", a nod to the brand’s unapologetically deceptive design. Each pair is crafted using a patented sublimation process that prints photorealistic denim textures onto ultra-soft performance fabric. The result is convincing enough to pass visual inspection—even up close—but without the rigid seams, buttons, or structure that typically define jeans.

From Airports to College Dorms...

While Comforfeit is still a brand-new brand, there's two groups they're seeing show immediate interest - college students and frequent travelers - who both cite the same reason, being comfortable throughout a long and busy day, going from one activity to the next. "Jeans are acceptable pretty much everywhere I normally go - I wore them to class, then where I work as a barista at a cafe a few blocks off-campus, and from there I met up with friends at a bar... and I'll admit it, I was exhausted when I got home and wore them to bed too! a customer who says they're a student at UC Berkeley posted in a online forum.

“I’ve worn them on set, to dinner, even on the long flight to Europe” said Reggie M, a Los Angeles-based audio engineer, “I've told a couple friends the secret, and when I tell them they’re not actually jeans, it blows their mind, its hilarious. I think it's because, like, it never crosses anyone's mind that someone's pants are designed to fool them.”

How It's Done...

They've patented their method, so don't expect to find these anywhere else anytime soon.  It's one of those inventions that make you go 'why didn't I think of that?'- as their website explains it works by first taking high-resolution images of actual jean/denim fabric, then, that high resolution image is transferred on to white super-soft and comfy loungewear pants.

It's not so much putting the image 'onto'  the pants as 'into' them, as they use a newer method called Sublimation, which involves using extremely high heat (400+ degrees fahrenheit) causing the ink to be absorbed by the fabric itself - so it's not an image printed on top of the fabric, the fabric itself is colored, which is essential to making an illusion like this work.  It also means it can't just rub off over time.

So the reason people see jeans is because, well - they're seeing jeans! Or more accurately, images of jean fabric printed onto the pants.  They plan to use this exclusive method for limited-edition drops with texture-illusions beyond just jeans.

The Benefits Go Beyond Just Comfortable Clothing... 

Real denim production has faced criticism over the last decade or so for its significant environmental impact. The manufacturing involves high chemical usage that's been blamed for polluting water supplies, as toxic metals like lead, mercury, and cadmium have been found in wastewater from denim factories.

Comforfeit isn't out to be just another trend-fueled brand, they say their clothes represent an upgrade on every level, including how they're made. With sustainability in mind, Comforfeit’s printing process, (normal jeans aren't printed, they're dyed in large batches of blue coloring) uses only the ink going on the pants, with no runoff, significantly reducing water and dye waste.  Plus, their materials are wrinkle-resistant, fade-resistant, machine washable, and designed to last for years.

Where to Get Them...

Comforfeit pants are currently available exclusively through the brand’s website Comforfeit.com, with select early adopters getting access to pre-launch editions. As word spreads, however, demand is expected to spike—and inventory may not last long.

-----------
Author: Trevor Kingsley
Tech News CITY // New York Newsroom

Read More

Last Week Open AI CEO Sam Altman Shared that Zuckerberg Failed to snag Some of His Top Talent, Even With Bribes Up to $100M - Today we Learn 3 Open AI Staffers are Headed to Meta...

There's officially a talent war in AI - until this week I wouldn't use any word beyond 'competitive' to describe the situation - but these latest developments make 'war' totally appropriate.

Last week, Altman was a proud man with a faithful team...

He shared how other companies were after his top talent, but they weren't budging - "Meta has started making these, like, giant offers to a lot of people on our team” Sam Altman said on a podcast last week “You know, like, $100 million signing bonuses, more than that in compensation per year - and I’m really happy that, at least so far, none of our best people have decided to take him up on that"

Altman went on to say he believes Open AI’s culture of innovation is what has kept the top minds in AI there, and that Meta’s “current AI efforts have not worked as well as they hoped".

But here in Silicon Valley, things can change quickly...

There are reportedly 3 OpenAI staffers now heading to Meta -  Lucas Beyer, Alexander Kolesnikov, and Xiaohua Zhai — the team that ran OpenAI’s Zurich office. It appears the Zuck can indeed sway some minds.

Zuckerberg personally has been messaging top AI researchers on WhatsApp, and inviting his targets to dinners at his homes in Palo Alto and Lake Tahoe.

Meta also recently signed Scale AI’s CEO Alexandr Wang with a $14 billion investment, the 28-year-old is one of tech's most expensive hires ever, and there were no shortage of people who found these numbers insane. 

This latest development only further underscores the escalating battle for AI's brightest minds, if I had to bet if the battle calms down from here, or grows into something much nastier, unfortunately, it' the latter.

-----------
Author: Dalton Kline
Tech News CITY // Silicon Valley Newsroom

Read More

Everything We Know About Nvidia’s Vera Rubin Chip: Details and Rumors Trickle In, with Release Date Still Over a Year Away...

At GTC 2025, Nvidia CEO Jensen Huang unveiled the Vera Rubin platform, comprising the Rubin GPU and Vera CPU. The Rubin GPU is expected to deliver up to 50 petaflops of FP4 performance, more than doubling the capabilities of the current Blackwell architecture. The Vera CPU will feature 88 custom Arm cores, aiming to enhance AI processing efficiency .

The Rubin platform will utilize HBM4 memory, providing 288GB per GPU with a bandwidth of 13 TB/s. The system will also incorporate Nvidia's sixth-generation NVLink, offering 260 TB/s of interconnect bandwidth, and the upcoming 1.6 Tbps ConnectX-9 NICs for improved networking .

Rumors and Speculations...

While Nvidia has confirmed many aspects of the Vera Rubin platform, some details remain speculative:

Rubin Ultra: Expected in the second half of 2027, this iteration may feature four GPU dies per package, doubling the performance to 100 petaflops of FP4 compute. It could also introduce HBM4e memory with up to 1TB per GPU and a new NVLink 7 interface offering 1.5 PB/s of throughput .

Manufacturing Process: The Rubin chips are anticipated to be manufactured using TSMC's advanced 3nm process node, enhancing power efficiency and performance density .

Market Impact...

Despite the impressive specifications, Nvidia's stock experienced a slight dip following the GTC 2025 announcements. Analysts suggest that while the Vera Rubin platform represents a significant technological leap, the market is awaiting tangible performance benchmarks and adoption rates before reacting positively .

In Closing...

Nvidia's Vera Rubin chip is poised to redefine AI processing capabilities, with its release slated for late 2026. While official details paint an exciting picture, the tech community eagerly awaits further information and real-world performance data to fully assess its impact.
_________________

Author: Ross Davis
Silicon Valley Newsroom | Tech News CITY

Read More

Game Developers at the Forefront of AI - How We Can Expect to see AI Being Used in Upcoming Releases...

AI was one of the biggest trends at The Game Developer Conference in San Francisco - so how is it being used, and what else do they have in the works?

Video Courtesy of BBC News

Read More

Nintendo Unveils the Highly Anticipates Switch 2!

Nintendo unveils the highly anticipated Switch 2 - Live at 6am (PST) 9am (EST) April 2nd.

This presentation is set to run for around 60 minutes, and you better believe it’s going to be packed with everything we’ve been waiting for – all the juicy details on the Nintendo Switch 2, the highly anticipated follow-up to the legendary Nintendo Switch.

We’ve got you covered with live updates on every major announcement and reveal, so whether you’re watching the stream with us or just checking in for the highlights, this is your go-to spot.

Stick with me as we count down the final hours before it all goes down. I’ll be dropping the latest leaks, rumors, news, and maybe even a few predictions as we get closer to showtime. Let’s get ready to dive in!

Read More

Business Survival 101: Why This Book Should Be Required Reading for Every CEO...

In the high-stakes world of executive leadership, the pressure is immense. CEOs are expected to navigate complex markets, inspire teams, drive innovation, and ultimately, ensure the company thrives. While leadership books often focus on visionary strategies and success stories, perhaps the most underrated skill is learning from failure, especially the failures of others. This is precisely why Furkat Kasimov’s "Don't Do This: A Guide to Business Survival" isn't just another business book; it's an essential manual that should be on every CEO's desk.

Forget abstract theories and feel-good platitudes. Kasimov dives straight into the trenches, delivering over 150 concise, real-life examples of mistakes made by actual businesses. These aren't vague cautionary tales; each example clearly outlines what went wrong and why, offering practical, actionable insights distilled from hard-won experience. It cuts through the noise, providing the kind of direct, unvarnished truth that is often hard to come by in the boardroom.

For a CEO juggling countless responsibilities, time is precious. "Don't Do This" respects that. It covers a vast range of critical areas – from financial management and people issues to marketing pitfalls and leadership effectiveness. Need to quickly gut-check a potential marketing plan or reflect on your management style? The book offers checklists and focused sections designed for quick reference and immediate application. It’s structured not just for reading, but for using as a day-to-day guide.

The true value for a CEO lies in prevention...

Kasimov’s work equips leaders to spot potential trouble before it escalates into a crisis. By dissecting the errors of companies both known and unknown, it provides a powerful framework for risk assessment and decision-making. It’s about building success proactively by understanding the anatomy of failure – a far less costly approach than learning every lesson firsthand.

Kasimov's tone is refreshingly direct and honest, treating the reader like an intelligent peer. There's no sugarcoating; the book acknowledges that business is hard and demonstrates how easily things can go wrong. But it also shows how simple corrections and awareness can keep a company on track. Think of it as that brutally honest advisor every leader needs – the one who points out the potential iceberg before you hit it.

"Don't Do This: A Guide to Business Survival" isn’t about chasing overnight success; it’s about building enduring businesses by systematically avoiding the errors that lead to downfall. For any CEO committed to navigating the complexities of modern business and safeguarding their company's future, this book offers invaluable, practical wisdom. It’s more than just recommended reading; it’s a foundational text for business survival.

------------
Submitted via Guest Author

Read More

Villarreal vs Real Madrid Takes Over Online Excitement...

What a week for Real Madrid! Fresh off their nail-biting penalty shootout win over Atletico in the Champions League Round of 16, Los Blancos are gearing up to face Villarreal on Saturday in a crucial La Liga showdown right before the international break. With Real Madrid and Barça both sitting on 57 points (though Madrid have a game in hand), and Atleti lurking just a point behind, every match is massive at this stage of the season. Meanwhile, on Sunday, right after Madrid’s match, Atlético will host Barcelona in a blockbuster clash. Here’s the scoop:

Team News

Villarreal: Kiko Femenia is questionable, while Gerard Moreno and Ilias Akhomach remain sidelined and won’t suit up against Real Madrid.

Possible Villarreal XI: Conde; Foyth, Kambwala, Costa, S Cardona; Pino, Gueye, Parejo, Baena; Barry, Perez.

Real Madrid: With Ferland Mendy out injured, Fran Garcia is set to slot in at left-back. Manager Carlo Ancelotti is expected to roll out his top attacking trio, with Rodrygo and Vinicius Jr. supporting French star Kylian Mbappe.

Possible Real Madrid XI: Courtois; Vazquez, Asencio, Rudiger, Garcia; Valverde, Tchouameni, Bellingham; Rodrygo, Mbappe, Vinicius.

Prediction All signs point to Real Madrid bagging all three points at the Bernabéu and piling pressure on Barcelona, who battle Atlético on Sunday. Final call: Real Madrid 2, Villarreal 0.

-----------
Author: Alex Benningram
Tech News CITY // New York Newsroom

Read More

iPhone 16e Teardown Reveals Surprising Internal Changes Despite Familiar Design

A quick 5-minute teardown video on YouTube from REWA Technology dives into the iPhone 16e, offering a closer look at its internals. On the surface, the iPhone 16e shares some design similarities with the iPhone 14, but it's what's inside that’s more interesting.

Most of the internal components are laid out similarly to the iPhone 15. The standout change, though, is in the rear camera. While the iPhone 15 has a dual-lens setup (wide and ultra-wide), the 16e features a single 48-megapixel wide lens, resulting in a noticeably smaller camera module. This compact design likely gave Apple the extra space needed to fit in a larger battery.

Speaking of the battery, the iPhone 16e is equipped with a 4005 mAh capacity—more than what earlier leaks suggested. For comparison, the iPhone 16 packs a 3561 mAh battery. The teardown also reveals that the iPhone 16e uses a low-voltage system to safely remove and replace the battery, making the process simpler and more secure.

As for Face ID, it’s essentially the same setup as the iPhone 14, with the iPhone 16e opting for a notch instead of the Dynamic Island.

The video also shows off the C1 chip, Apple’s first 5G modem. With a mix of 4-nanometer baseband tech and 7-nanometer transceiver tech, the modem delivers better efficiency and lower power consumption compared to the Qualcomm modems in other iPhones.

Read More