logo
Samsung Galaxy Z Fold 7 Will Be Thinnest-Ever Folding Phone, Report Claims

Samsung Galaxy Z Fold 7 Will Be Thinnest-Ever Folding Phone, Report Claims

Forbes07-05-2025

It's just a matter of days until the Samsung Galaxy S25 Edge is launched — read exactly when here — and while that phone will be strikingly slim, there's already news of something even more svelte, the Samsung Galaxy Z Fold7.
Samsung Galaxy Z Fold6 — will the next version be the thinnest folding phone yet? © 2024 Bloomberg Finance LP
And it's reported to be not just thin, but the thinnest folding phone yet. That's according to an exclusive report from Ice Universe. Forbes Samsung Galaxy S26: Exynos Chip Coming For Some Phones, Report Claims By David Phelan
In a post on X, the prolific leaker said that their information was all-new. 'According to some exclusive information, the next direction of Samsung flagship machine is still to be thin and light, and the battery will be thin and thin, and the body will continue to be thin,' they said.
That's a promising start. Maybe Samsung has taken learnings from the S25 Edge to make its next folder slimmer.
'The Galaxy Z Fold7 will be the thinnest folding machine in the world at that time, 3.9mm after unfolding, 8.9mm after folding, with a battery of 4400mAh. It is expected that the new battery and charging technology will be adopted, and the battery of Z Flip7 will be 4300mAh,' the report goes on.
There's a slight puzzle here. If it's 3.9mm unfolded, how come the folded thickness is more than double this (it's quoted as 8.9mm), assuming both sides are equally thin? My guess is that the folded thickness could include the camera bump. We'll have to wait and see.
Beyond that question, it's clear that Samsung's focus will be on providing a super-thin folding phone. The company obviously doesn't like being outdone by rivals such as Oppo and Xiaomi.
Ice Universe has one more nugget for us, and this refers to the next Samsung phones coming in 2026. 'The basic version of Galaxy S26 will continue to be thin,' they say.
The focus on super-slim phones seems to be inspired by two models: the Samsung Galaxy S25 Edge and the presumed model from Apple, the iPhone 17 Air (if that's what it turns out to be called). It's an interesting trend, so long as it doesn't remove too many features to make its head-turning looks happen. Forbes Apple To Make Unexpected Free Offer To All iPhone 13 Users By David Phelan

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

ChatGPT Helped A Developer Finish A Week's Work In 3 Hours - Here's How It Works
ChatGPT Helped A Developer Finish A Week's Work In 3 Hours - Here's How It Works

Geek Vibes Nation

time15 minutes ago

  • Geek Vibes Nation

ChatGPT Helped A Developer Finish A Week's Work In 3 Hours - Here's How It Works

— Gaurav Bisen (@thepmfguy) June 5, 2025 Real-Life Examples: How Developers Are Using ChatGPT for Faster Results One developer shared their experience of how ChatGPT saved them 7 hours on a single project. The task involved creating an API for an application, and using ChatGPT, they were able to: Generate API routes and endpoints for basic CRUD operations. Write detailed documentation to accompany the API. Fix bugs in the application logic that were causing errors during testing. By automating these processes with ChatGPT, the developer was able to spend more time on fine-tuning the user interface and optimizing the overall performance of the app. Limitations of ChatGPT in Development While ChatGPT offers immense benefits, it's not without its limitations: Complex problem-solving: While ChatGPT excels at basic coding tasks, it may struggle with highly complex or niche technical problems that require deep domain-specific knowledge. Context retention: Although ChatGPT is capable of processing code snippets, it sometimes lacks the ability to understand long-term project context, especially for larger projects that span multiple files. Creative tasks: For highly creative coding challenges that require out-of-the-box thinking, ChatGPT might not always provide the best solution. Despite these limitations, ChatGPT remains a powerful tool for developers, particularly when used in conjunction with other AI models within a platform like Chatronix. Conclusion: The Future of AI in Development In 2025, AI tools like ChatGPT are revolutionizing the development process. From generating code to debugging and automating repetitive tasks, developers are increasingly relying on AI to accelerate their workflows and boost productivity. While ChatGPT is a fantastic tool on its own, platforms like Chatronix take the experience further by offering multiple AI models in one unified space. This allows developers to compare outputs, automate even more tasks, and optimize their workflows for greater success. Curious to see how Chatronix can improve your development process? Try it today and experience the future of coding. Emily Henry writes for UKWritings Reviews and Write My Research Paper . She writes articles on many subjects including writing great resumes. Emily is also an editor at State Of Writing .

iFixit says the Switch 2 is even harder to repair than the original
iFixit says the Switch 2 is even harder to repair than the original

The Verge

time19 minutes ago

  • The Verge

iFixit says the Switch 2 is even harder to repair than the original

After retroactively lowering the original Nintendo Switch's repairability score from an 8 out of 10 to just 4 out of 10 to reflect 2025 standards, iFixit has found the Switch 2 to be even harder to fix. Following its full teardown of the new console, iFixit is giving the Switch 2 a 3 out of 10 repairability score thanks, in part, to a battery that's once again 'glued in with powerful adhesive' and flash storage modules and USB-C ports that are soldered to the main board. Nintendo continues to rely on the tri-point screws the company has been using to assemble its consoles and handhelds for decades, and on the Switch 2, many are hidden behind stickers that get damaged in the process of removing them to access the screws. The company has never released repair parts or manuals for the original Switch, and there are currently none available for the Switch 2, so you'll need third-party alternatives to reassemble the console. Components like the headphone jack, speakers, microphone, and microSD reader on the Switch 2 are easy to remove. As are buttons that are soldered to breakout boards, and the console's cooling fan that's held in place by three screws. But iFixit describes removing the Switch 2's battery as an 'absolute mission' and 'just as bad as the original Switch.' Lots of isopropyl alcohol and a 'whole set of pry tools' were needed to remove it, and in the process the foam Nintendo glued to the battery was left disintegrated making a future battery swap a difficult and messy endeavor. The Switch 2's gamecard reader, which was modular and relatively easy to remove and replace in the original Switch and Switch OLED models, is now soldered to the console's mainboard as it is on Switch Lite. iFixit also found three different types of thermal paste used in the Switch 2 which in the original Switch would solidify over time making it hard to remove and less effective at preventing the console from overheating. Even the new Joy-Cons on the Switch 2 are harder to disassemble, which is problematic because the joysticks are using the same potentiometer technology as the original Joy-Cons that rely on a resistive material that can wear away over time. That's one of the causes of the original Switch's notorious joystick drift issue and this time around it's going to be even harder to do repairs or replace the sticks altogether with Hall effect or TMR alternatives.

The AI Paradox: When More AI Means Less Impact
The AI Paradox: When More AI Means Less Impact

Forbes

time40 minutes ago

  • Forbes

The AI Paradox: When More AI Means Less Impact

Young business man with his face passing through the screen of a laptop on binary code background AI is in the news every day. On the one hand, this highlights the vertiginous speed at which the field is developing. On the other, it creates a sense saturation and angst that makes business organizations either drop the subject altogether or go at it full throttle without much discernment. Both approaches will lead to major misses in the inevitable AI-fication of business. In this article, I'll explore what happens when a business goes down the AI rabbit hole without a clear business objective and a solid grasp of the available alternatives. If you have attended any AI conference lately, chances are that, by the end, you thought your business was dangerously behind. Many of these events, even if not on purpose, can leave you with the feeling that you need to deploy AI everywhere and automate everything to catch up. If you've succumbed to this temptation, you most likely found out that is not the right move. Two years into the generative AI revolution, a counterintuitive truth is emerging from boardrooms to factory floors. Companies pursuing 100% AI automation are often seeing diminished returns, while those treating AI as one element in a broader, human-centered workflow are capturing both cost savings and competitive advantages. The obvious truth is already revealing itself: AI is just one more technology at our disposal, and just like every other new technology, everyone is trying to gain first-move advantage, which inevitably creates chaos. Those who see through and beyond said chaos are building the foundations of a successful AI-assisted business. The numbers tell a story that contradicts the automation evangelists. Three in four workers say AI tools have decreased their productivity and added to their workload, according to a recent UpWork survey of 2,500 respondents across four countries. Workers report spending more time reviewing AI-generated content and learning tool complexities than the time these tools supposedly save. Even more revealing: while 85% of company leaders are pushing workers to use AI, nearly half of employees using AI admitted they have no idea how to achieve the productivity gains their employers expect. This disconnect isn't just corporate misalignment—it's a fundamental misunderstanding of how AI creates value. The companies winning the AI game aren't those deploying the most algorithms. They're the ones who understand that intelligent automation shouldn't rely on AI alone. Instead, successful organizations are orchestrating AI within broader process frameworks where human expertise guides strategic decisions while AI handles specific, well-defined tasks. A good AI strategy always revolves around domain experts, not the other way around. Consider how The New York Times approached AI integration. Rather than replacing journalists with AI, the newspaper introduced AI tools for editing copy, summarizing information, and generating promotional content, while maintaining strict guidelines that AI cannot draft full articles or significantly alter journalism. This measured approach preserves editorial integrity while amplifying human capabilities. AI should be integrated strategically and operationally into entire processes, not deployed as isolated solutions to be indiscriminately exploited hoping for magic. Research shows that 60% of business and IT leaders use over 26 systems in their automation efforts, and 42% cite lack of integration as a major digital transformation hurdle. The most effective AI implementations focus on task-specific applications rather than general automation. Task-specific models offer highly specialized solutions for targeted problems, making them more efficient and cost-effective than general-purpose alternatives. Harvard Business School research involving 750 Boston Consulting Group consultants revealed this precision matters enormously. While consultants using AI completed certain tasks 40% faster with higher quality, they were 19 percentage points less likely to produce correct answers on complex tasks requiring nuanced judgment. This 'jagged technological frontier' demands that organizations implement methodical test-and-learn approaches rather than wholesale AI adoption. Harvard Business Review research confirms that AI notoriously fails at capturing intangible human factors essential for real-world decision-making—ethical considerations, moral judgments, and contextual nuances that guide business success. The companies thriving in 2025 aren't choosing between humans and machines. They're building hybrid systems where AI automation is balanced with human interaction to maintain stakeholder trust and capture value that neither could achieve alone. The mantra, 'AI will replace your job,' seems to consistently reveal a timeless truth: everything that should be automated will be automated, not everything than can be automated will. The Path Forward The AI paradox isn't a failure of technology—it's a lesson in implementation strategy. Organizations that resist the allure of complete automation and instead focus on thoughtful integration, task-specific deployment, and human-AI collaboration aren't just avoiding the productivity trap. They're building sustainable competitive advantages that compound over time. The question isn't whether your organization should use AI. It's whether you'll fall into the 'more AI' trap or master the art of 'smarter AI'—where less automation actually delivers more impact.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store