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How can you make your memory work more effectively?

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Trinity College Dublin’s Elva Arulchelvan highlights five tips for improving both your working and long-term memory.

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A version of this article was originally published by The Conversation (CC BY-ND 4.0)

As a researcher investigating how electric brain stimulation can improve people’s powers of recollection, I’m often asked how memory works – and what we can do to use it more effectively. Happily, decades of research have given us some clear answers to both questions.

Memory essentially operates in three stages, with different brain regions contributing to each one.

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Sensory memory, which can last only milliseconds, registers raw information such as sights, sounds and smells. These are first processed by the brain’s five primary sensory cortices (visual cortex for sights, auditory cortex for sounds and so on).

Working (short-term) memory holds and manipulates a small amount of information over several seconds or more. Think of this as your brain’s mental workspace: the system that lets you do mental arithmetic, follow instructions and comprehend what you’re reading. So it mainly involves the prefrontal cortex – the front part of your brain that supports attention, decision-making and reasoning.

Finally, long-term memory stores information more permanently, from minutes to a lifetime. This includes both ‘explicit’ memories (facts and life events) and ‘implicit’ ones (skills, habits and emotional associations).

For long-term memories, the hippocampus and temporal lobes – located deep within the brain, around the sides of your head near your temples – contribute largely to memories involving facts or life events, while the amygdala (near the hippocampus), cerebellum (at the back of the brain) and basal ganglia (deep in the brain) process emotional or procedural memories.

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Working memory often acts as a conscious gateway to long-term memory – but it has its limits. In 1956, the American psychologist George Miller proposed that we can only hold about seven ‘chunks’ of information in our working memory at any time.

While the exact number is debated to this day, the principle holds: working memory is limited. And that limitation can shape how effectively we learn and remember things.

But you can also get your memory working more effectively. Here are five easy steps for improving both your working and long-term memory.

Put your phone away

Smartphones reduce your working memory capacity. Even just having a phone nearby – no matter if it’s face down and on silent – can reduce performance on memory and reasoning tasks.

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The reason is that part of your brain is still subtly monitoring it. Even resisting the urge to check notifications consumes mental resources – which is why researchers sometimes call smartphones a “brain drain”. The solution is simple: put your phone in another room when you need to focus. Out of sight really does free up mental capacity.

Stop your mind racing

Stress and anxiety can take up valuable mental space. When you’re worrying about something or are distracted by racing thoughts, part of your working memory is already in use.

Relaxation training and mindfulness practices can improve both working memory and academic performance, probably by reducing stress levels. And if meditation feels intimidating, try breathing techniques such as ‘cyclic sighing’. Inhale deeply through your nose, take a second shorter inhale, then slowly exhale through your mouth. Repeating this for five minutes can calm the nervous system and create better conditions for learning.

Get chunking

Everyone can expand their working memory using the technique of chunking – grouping information into meaningful units. In fact, you probably already do it to remember some phone numbers or lists of words – breaking long sequences into bite-size chunks that your brain can recall as a mini-group.

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The same principles apply if you’re delivering a presentation, to help your audience remember your key points more effectively. Chunking would involve grouping 10 case studies, say, into three or four themes, each with a short headline and single key takeaway.

Repeat this structure on each slide: one idea, a few supporting details, then move on. By organising information into meaningful patterns, you reduce cognitive load and make it more memorable.

Become a retriever

In the 19th century, German psychologist Hermann Ebbinghaus demonstrated how quickly we forget information after learning it. Within about 30 minutes, we lose roughly half of what we have learned, with much more fading over the next day. Ebbinghaus called this the forgetting curve. The light blue line on the chart below illustrates this.

The forgetting curve – and how to disrupt it

The forgetting curve. Image: Elva Arulchelvan (CC BY-SA 4.0)

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However, there is a way of ensuring that more sinks in when you are trying to learn a lot of information in a short period of time: retrieval practice.

When preparing to give a talk or studying for an exam, rather than simply rereading your notes, keep testing how much you remember. Use flash cards, answer practice questions, or try explaining the material out loud without notes.

Memory works through associations. Each time you successfully retrieve information, you link the material to new prompts, examples and contexts. This builds more cues to accessing the information, and strengthens each memory pathway. Often when we ‘forget’, the memory isn’t gone – we just lack the right retrieval cue.

Give yourself a break

Research shows that memory is more effective when study or practice sessions are spread out, rather than massed together. If you are studying for an exam, build solid blocks of downtime into your revision schedule. The dark blue line on the chart above illustrates how spacing out your practice sessions can help you remember more information over time, by adjusting Ebbinghaus’s forgetting curve.

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One study suggests leaving gaps between each revision session that equate to 10-20pc of the time left until your exam or presentation. So, if your deadline is five days away and you do hours of revision a day, you should still take between a half and full day off in between sessions. In other words, don’t overdo it – you probably won’t see the rewards!

If you only remember one thing from this article about improving memory, make it this. Memory isn’t just about intelligence, it’s about strategy. Small changes in how you study or work can make a real difference in how well, and how long, you remember crucial information.

The Conversation

By Elva Arulchelvan

Elva Arulchelvan is completing a PhD in psychology and neuroscience for the Lab for Clinical and Integrative Neuroscience in Trinity College Dublin (TCD), Ireland. She is also a lecturer in psychology for social work students in TCD. Arulchelvan’s PhD research focuses on memory and forgetting processes. In particular, her PhD research involves investigating peripheral nerve stimulation’s effect on memory and forgetting in both clinical and non-clinical groups. 

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High earners quietly slow down AI usage as new data shows accuracy beating speed in real workplace decision making

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  • Top earners use AI tools to verify decisions before execution, not to create ideas
  • Executives now prioritize accuracy and error prevention over speed in AI workflows
  • Mid-level professionals rely less on AI for structured decision validation processes

The early narrative around artificial intelligence promised speed, scale, and unprecedented output.

A different picture is now emerging from recent survey data collected by Use.AI which found high-earning professionals are not racing to produce more content faster.

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Is Stardew Valley cross-platform? – Digital Trends

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Despite indie darling Stardew Valley only being built by a single developer, you certainly wouldn’t know it by the amount of support the game has received since its launch in 2016. Regular updates, ports to other platforms, and even a fully-fledged online multiplayer mode make the game feel essentially endless. In fact, it’s one of Digital Trends’ top 50 video games of all time.

With Stardew Valley’s 1.6 update adding that multiplayer mode, fans have been begging for cross-platform play, as well as cross-progression. So, if you’re looking to recruit some fellow agriculture enthusiasts or some farming friends, read on to find out whether or not you can pull them from across console, PC, and mobile.

Is Stardew Valley cross-platform?

While developer ConcernedApe has worked in an awful lot of new content, at the time of writing (October 2025) Stardew Valley still does not offer cross-platform support, so you’ll need to play with friends on the same platform.

One reason for this could be that, since it launched in 2016, Stardew Valley predates the big cross-platform push spearheaded by the likes of Fortnite.

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As a result, you’ll need to play on PlayStation 4, PlayStation 5, Xbox One, Xbox Series X, Nintendo Switch, or PC with other players on the same system, but you can at least enjoy multiplayer thanks to the 1.6 update.

Back in 2018, one fan asked ConcernedApe if cross-platform play is likely to come to the farming sim.

“Unfortunately, there will not be crossplay. Apparently, the technical barriers are very high. It’s still something I really want to add and I promise to look into it more closely, but first priority is getting the update out there,” he responded, and the trail has gone quiet since.

As for cross-save, that’s not here either. You can’t save on your PC and pick up where you left off on your Xbox, for example, or jump between Nintendo Switch and PlayStation.

Arguably the closest you’ll get is using Steam’s Cloud Save functionality to play on PC and then pick up on a laptop or Steam Deck, but that won’t be a solution that suits everyone.

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Haunted Chocolatier, the next game from ConcernedApe, is certainly looking promising, so here’s hoping cross-platform play and cross-save make it into that one at least. And hey, who knows? Maybe the dev will surprise us with crossplay and cross-save in the future.

Current status in 2026

The most relevant recent change is not full crossplay, but experimental multiplayer on mobile. Stardew Valley’s official mobile multiplayer guide confirms that Android and iOS now have a hidden experimental multiplayer feature tied to the 1.6 mobile release.

Which Stardew Valley platforms can play together?

  • Windows, Mac, and Linux: Yes
  • PlayStation with PlayStation: Yes
  • Xbox with Xbox: Yes
  • Switch with Switch: Yes
  • PC with console: No
  • PlayStation with Xbox or Switch: No
  • Console with mobile: No standard crossplay
  • Mobile with PC: Experimental only, with setup required

So if the goal is easy co-op with friends, the safest advice is still painfully boring: buy the game on the same platform.

What about Stardew Valley mobile multiplayer?

This is the one part of the answer that now needs nuance.

According to the official Stardew Valley mobile multiplayer guide, Android and iOS have a hidden experimental multiplayer mode. It isn’t enabled like standard multiplayer, and it comes with extra steps. Players need to be on the same game version, connect by IP, and often be on the same local network unless they’re using more advanced setup methods such as port forwarding. The official guide also warns that the feature is experimental and may have bugs or save-related issues.

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That means mobile multiplayer exists, but it isn’t polished, full-featured crossplay. It’s closer to an official experimental workaround than a seamless “buy anywhere, play anywhere” system.

Does Stardew Valley have cross-save?

No. Stardew Valley still doesn’t offer broad, official cross-save or cross-progression across its major platform ecosystems. A save on Switch, for example, isn’t meant to flow neatly into Xbox, PlayStation, or PC in the way players now expect from fully connected live-service games.

Why doesn’t Stardew Valley have full crossplay?

Part of the answer is timing. Stardew Valley launched in 2016, long before full cross-platform support became an expected multiplayer feature for almost every popular co-op game. Multiplayer support expanded over time, and the current game supports up to eight players in multiplayer in supported environments, but that still doesn’t mean broad crossplay across every platform family.

In other words, Stardew Valley has multiplayer, but not the universal version modern players expect.

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Stardew Valley cross-platform status in 2026

Stardew Valley still isn’t fully cross-platform in 2026. PC players can play together across Windows, Mac, and Linux. Console players generally need to stay within their own platform ecosystem. Mobile now has an official experimental multiplayer option, including the ability to connect in ways that blur the old boundaries a bit, but it’s still limited, hidden, and far from full crossplay.

If the goal is to start a farm with friends and avoid technical nonsense, everyone should still plan to buy the same version on the same platform. It’s not glamorous advice, but it beats discovering too late that your multiplayer plans were built on wishful thinking and turnips.

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Agentic coding at enterprise scale demands spec-driven development

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Presented by AWS


Autonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development.

There’s a moment in every technology shift where the early adopters stop being outliers and start being the baseline. We’re at that moment in software development, and most teams don’t realize it yet.

A year ago, vibe coding went viral. Non-developers and junior developers discovered they could build beyond their abilities with AI. It lowered the floor. It made prototyping much quicker, but it also introduced a surplus of slop. What the industry then needed was something that raised the ceiling — something that improved code quality and worked the way the most expert developers work. Spec-driven development did that. It laid the foundation for trustworthy autonomous coding agents.

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Specs are the trust model for autonomous development

Most discussions of AI-generated code focus on whether AI can write code. The harder question is whether you can trust it. The answer runs directly through the spec.

Spec-driven development starts with a deceptively simple idea: before an AI agent writes a single line of code, it works from a structured, context-rich specification that defines what the system is supposed to do, what its properties are, and what “correct” actually means. That specification is an artifact the agent reasons against throughout the entire development process — fundamentally different from pre-agentic AI approaches of writing documentation after the fact.

Enterprise teams are building on this foundation. The Kiro IDE team used Kiro to build Kiro IDE — an agentic coding environment with native spec-driven development — cutting feature builds from two weeks to two days. An AWS engineering team completed an 18-month rearchitecture project, originally scoped for 30 developers, with six people in 76 days using Kiro. An Amazon.com engineering team rolled out “Add to Delivery” — a feature that lets shoppers add items after checkout — two months ahead of schedule by using Kiro and spec-driven development. Alexa+, Amazon Finance, Amazon Stores, AWS, Fire TV, Last Mile Delivery, Prime Video, and more all integrate spec-driven development as part of their build approaches.

That shift changes everything downstream.

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Verifiable testing is what makes autonomous agents safe to run

The spec becomes an automated correctness engine. When a developer is generating 150 check-ins per week with AI assistance, no human can manually review that volume of code. Instead, code built against a concrete specification can be verified through property-based testing and neurosymbolic AI techniques that automatically generate hundreds of test cases derived directly from the spec, probing edge cases no human would think to write by hand. These tests prove that the code satisfies the spec’s defined properties, going well beyond hand-written test suites to provably correct behavior.

Verifiable testing enables the shift from one-shot programming to continuous autonomous development. Traditional AI-assisted development operates as a single shot: you give the agent a spec, the agent produces output, and the process ends. Today’s agents continuously correct themselves, feeding build and test failures back into their own reasoning, generating additional tests to probe their own output, and iterating until they produce something both functional and verifiable. The spec is the anchor that keeps that loop from drifting. Instead of developers constantly checking in to see if the agent is making the right decisions, the agent can check itself against the spec to make sure it is on the right path.

The autonomous agent of the future will write its own specs, using specifications as the mechanism for self-correction, for verification, for ensuring that what it produces matches the intended behavior of the system.

Multi-agent, autonomous, and running right now

The developers setting the pace today operate in a fundamentally different way. Developers spend significant time building their spec, as well as writing steering files used by the spec to make sure the agent knows what and how to build — more time than their agent may spend building the actual software. They run multiple agents in parallel to critique a problem from different perspectives, as well as run multiple specs, each written for a different component of the system they are building. They let agents run for hours, sometimes days. They use thousands of Kiro credits because the output justifies it.

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A year ago, agents would lose context and fall apart after 20 minutes. Now, every week you can run them longer than the week before. Agentic capabilities have improved significantly in the last six months that genuinely complex problems are tractable. Newer LLMs are more token-efficient than the previous generation, so for the same spend, you get dramatically more done.

The challenge is that doing this well requires deep expertise. The tools, methodologies, and infrastructure exist, but orchestrating them is hard. The goal with Kiro is to bring these capabilities with deep expertise to every developer, not just the top one percent who’ve figured it out.

Infrastructure is catching up to ambition

Agents will be ten times more capable within a year. That’s the rate of improvement we’re seeing week over week.

The infrastructure to support that level of capability is converging at the same time. Agents are now running in the cloud rather than locally, executing in parallel at scale with secure, reliable communication between agent systems. Organizations can now run agentic workloads the way they’d run any enterprise-grade distributed system — with governance, cost controls, and reliability guarantees that serious software demands. Spec-driven development is the architecture of tomorrow’s autonomous systems.

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Developers are no longer restricted by how they want to solve the problem. The developers who thrive in this world are the ones building that foundation now: using spec-driven development, prioritizing testability and verification from the start, working with agents as collaborators, and thinking in systems instead of syntax.

Deepak Singh is VP of Kiro at AWS.


Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.

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Stop Killing Games backs California bill supporting clearer end-of-life rules for online games

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Stop Killing Games is backing a new bill from Chris Ward, a member of the California State Assembly since 2020. Introduced earlier this year, the Protect Our Games Act would require gaming companies to make clear commitments to long-term support for “server-connected” video games. The bill has undergone a significant…
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Linux 7.0 Released – Slashdot

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“The new Linux kernel was released and it’s kind of a big deal,” writes longtime Slashdot reader rexx mainframe. “Here is what you can expect.” Linuxiac reports: A key update in Linux 7.0 is the removal of the experimental label from Rust support. That (of course) does not make Rust a dominant language in kernel development, but it is still an important step in its gradual integration into the project. Another notable security-related change is the addition of ML-DSA post-quantum signatures for kernel module authentication, while support for SHA-1-based module-signing schemes has been removed.

The kernel now includes BPF-based filtering for io_uring operations, providing administrators with improved control in restricted environments. Additionally, BTF type lookups are now faster due to binary search. At the same time, this release continues ongoing cleanup in the kernel’s lower layers. The removal of linuxrc initrd code advances the transition to initramfs as the sole early-userspace boot mechanism.

Linux 7.0 also introduces NULLFS, an immutable and empty root filesystem designed for systems that mount the real root later. Plus, preemption handling is now simpler on most architectures, with further improvements to restartable sequences, workqueues, RCU internals, slab allocation, and type-based hardening. Filesystems and storage receive several updates as well. Non-blocking timestamp updates now function correctly, and filesystems must explicitly opt in to leases rather than receiving them by default. Phoronix has compiled a list of the many exciting changes.

Linus Torvalds himself announced the release, which can be downloaded directly from his git tree or from the kernel.org website.

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Linux 7.0 has a major new version number but it’s “largely a numbering reset […], not a sign of some unusually disruptive release,” notes Linuxiac.

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The kings of ANC headphones from Bose hit their Black Friday price of $199

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As someone who has reviewed a number of the best headphones, I have absolutely no reservations recommending the Bose QuietComfort Headphones at Amazon for $199 (was $359).

The Bose QuietComfort Headphones excel at noise-cancelation, but they’re far from a one-trick pony. With outstanding sound quality, a super-comfortable design, and an easy-to-use interface, they hit all the right notes across the board.

Bose QuietComfort Headphones review, we gave the popular audio product a very respectable four out of five stars. Our reviewer loved their “supreme comfort, fuss-free set-up and solid ANC”, so even though they’re not perfect, they’re still pretty impressive, especially at this reduced price.

If you’re often working in public places, then you’ll be pleased to hear that the ANC is second to none. There are also a couple of different audio modes, like ‘Quiet’ for improved noise cancelation and ‘Aware’ for more transparency. These can be toggled using the action button on the left earcup.

From a comfort point of view, Bose has opted for memory foam earcups wrapped in soft vegan leather and a well-padded headband. All of this equates to a seriously comfortable user experience.

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At a sub-$200 price point, the Bose QuietComfort are some of the best noise-cancelling headphones and the best headphones. That’s why we’d highly recommend taking a proper look at this deal. It won’t be for everyone, though, and if that’s the case, check out all the latest Bose headphone deals and general headphone deals.

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Meta warned by dozens of organizations that facial recognition on its smart glasses would empower predators

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Dozens of civil rights organizations have to warn of the dangers in to the company’s smart glasses. More than 70 groups have banded together to form a coalition to urge Zuckerberg to abandon plans to incorporate the tech, on the grounds that it would empower stalkers, sexual predators and other bad actors.

This coalition includes organizations like the ACLU, the Electronic Privacy Information Center, Fight for the Future, Access Now and many others. The letter isn’t asking for safeguards. These groups want the feature to be completely eliminated, stating the idea behind facial recognition of this type is so dangerous that it “cannot be resolved through product design changes, opt-out mechanisms or incremental safeguards.” This tracks, as there would be no real way for bystanders to know or consent to being identified.

“People should be able to move through their daily lives without fear that stalkers, scammers, abusers, federal agents and activists across the political spectrum are silently and invisibly verifying their identities and potentially matching their names to a wealth of readily available data about their habits, hobbies, relationships, health and behaviors,” the letter states.

The organizations have urged Meta to disclose any known instances of its wearables being used for stalking, harassment or domestic violence. They also want the company to disclose past or ongoing discussions with federal law enforcement agencies, including ICE, about the use of Meta smart glasses and other wearables, .

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There is certainly some cause for worry here. Meta that suggested it would roll out this technology “during a dynamic political environment where many civil society groups that we would expect to attack us would have their resources focused on other concerns.” That’s corporate speak for “we’ll do it when nobody is watching.” The coalition has called this “vile behavior” that looks to take advantage of “rising authoritarianism.”

The technology in question is called Name Tag, for obvious reasons. It uses AI to pull up information about people in a field of view to smart glasses displays. That’s about as dystopian as it gets.

The company has reportedly been working on . There’s one that would only identify people that are currently connected to a Meta platform and another that would identify anyone with a public account on a service like Instagram. It doesn’t look like there’s any way, as of yet, to use this tech to identify strangers on the street who don’t have a Meta account of any kind. In other words, the company should expect a if this rolls out.

Name Tag is currently scheduled for release at some point this year, but it’s not set in stone just yet. Public outcry has gotten Meta to back off from facial recognition in the past. The company after pushback from civil liberties groups and years of costly litigation. Meta paid out billions of dollars to settle biometric privacy lawsuits in and and another for a separate privacy case partially tied to facial recognition software.

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Australia's social media ban for kids mostly isn't working, research suggests

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Australia’s world-first social media ban on users under the age of 16 isn’t keeping kids off the platforms as well as the government hoped.
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Amazon launches $50 discount on iPad 11 for April

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Amazon’s April iPad 11 sale delivers prices from $299, with discounts of up to $259 off new and closeout models across the tablet line.

Pink iPad 11 displaying colorful home screen with widgets and apps on a wooden surface, light brick wall background, and a black Deal of the Week badge on the left.
Save $50 on Apple’s iPad 11 A16 at Amazon.

Amazon is kicking off this week with a return of a $50 discount on Apple’s iPad 11 with the A16 chip in your choice of Blue, Pink, or Silver.
Buy iPad 11 for $299
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Testing of second iOS 26.5, macOS 26.5 developer beta builds now underway

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Apple is now on its second round of developer betas for iOS 26.5, iPadOS 26.5, watchOS 26.5, tvOS 26.5, visionOS 26.5, and macOS Tahoe 26.5.

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Apple’s hardware that works with the 26-generation operating systems – Image Credit: Apple

The second developer betas for iOS 26.5, iPadOS 26.5, watchOS 26.5, tvOS 26.5, visionOS 26.5, and macOS Tahoe 26.5 replace the first, which arrived on March 30. However, Apple re-released the developer beta for iOS 26.5 on March 24, with a new build number.

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