The cuts reportedly affect around 8% of Shopee’s developer workforce worldwide

Shopee has begun laying off hundreds of developers globally, including employees in Singapore, as the e-commerce giant restructures its workforce amid a broader industry push towards artificial intelligence (AI).

The job cuts, which began this week, will affect approximately 8% of Shopee’s developer workforce worldwide, according to a Bloomberg report.

When contacted by Vulcan Post, Shopee confirmed the layoffs, although it did not specify how many employees in Singapore were affected.

“We regularly assess our staffing needs as we continually review our business operations. From time to time, departments may make adjustments based on operational and business priorities,” a Shopee spokesperson said.

“These decisions are always made after careful consideration. For colleagues affected by any changes, Shopee is committed to providing support during this period of transition.”

The company declined to provide further comments.

Shopee’s parent company, Sea Ltd, is not unionised in Singapore. However, according to a union spokesperson, the company had informed the Creative Media and Publishing Union (CMPU) in advance about a “workforce adjustment affecting certain employees.”

“Advance notification has enabled CMPU to work closely with management to better support affected employees through this challenging period,” said the spokesperson. This includes ensuring fair compensation packages are offered.

The spokesperson added that CMPU representatives were on site during the layoff exercise to provide assistance.

No company-wide announcement, source says

According to a source who spoke to Vulcan Post, there was no official company-wide announcement regarding the layoffs.

Instead, employees realised the exercise was underway after colleagues suddenly lost access to their work accounts and began packing up their belongings.

The source added that Human Resources had scheduled individual calls with impacted employees and that the layoffs in Singapore primarily affected teams within product and engineering.

Employees affected by the exercise were reportedly offered a severance package equivalent to one month of salary for every year of service, along with an additional two months’ salary.

Shopee is ramping up its AI initiatives

The workforce reduction comes as Sea Limited, which operates both Shopee and gaming platform Garena, continues to ramp up its AI initiatives.

Earlier this year, Sea founder and CEO Forrest Li outlined ambitious growth plans for the company, stating that a trillion-dollar market capitalisation could be achievable if Sea successfully capitalises on opportunities presented by AI.

The company joins a growing list of tech firms investing heavily in AI while streamlining parts of their workforce. Rivals such as Alibaba have similarly been accelerating AI investments as competition intensifies across their core businesses.

To date, Sea has integrated AI into various parts of its operations, including product recommendation systems and seller-focused tools.

In Feb, the company announced a partnership with Google to expand AI adoption across its businesses, including the development of AI-powered shopping agents. Sea has also reportedly established dedicated teams to identify new AI investment opportunities as it seeks additional growth drivers beyond e-commerce.

Featured Image Credit: Edgar Su via Reuters

Forward-looking: Redmond is hell-bent on making printing on Windows a more modern and secure experience. A new printing framework is coming that could strip users of some choices while allegedly improving the reliability of printer management and support workflows.

Microsoft recently introduced Windows Ready Print, a new printing model designed to “evolve” the company’s previous Modern Print Platform. The core idea behind the model is to align printing devices and the Windows ecosystem with up-to-date communication standards, including Internet Printing Protocol (IPP), eSCL scanning, and Universal Print.

Microsoft’s post explained that using WRP means more than simply adopting newer printing protocols. The company is now focused on “simplifying printing, aligning modern standards, and delivering consistent, forward-looking experiences for users, IT administrators, and partners.”

WRP’s starting point is a transition away from legacy third-party drivers, a significant change Microsoft introduced earlier this year. The company later clarified the move, confirming that older printers and OEM device drivers would continue working on newer Windows releases, as they have for years.

However, more changes are coming in this WRP-focused approach. Starting in July 2026, newly installed printing devices will be managed through the Windows Ready Print framework by default. The new printing experience is already available in the latest Windows 11 Insider builds and is designed to streamline the traditionally complex process of driver management and installation.

Windows printer preferences will now include new options to customize how WRP operates. End users and system administrators will be able to enforce WRP-based print management or disable the new workflow to continue using OEM drivers. When Windows Protected Print Mode is enabled, printers will be installed exclusively through WRP, and non-compatible devices will not function.

Microsoft acknowledges that some enterprise organizations and small office/home office users are not ready to transition to WRP immediately. For this reason, the company is providing additional options to enable or disable the feature. New policies are also available in Group Policy Editor to allow or explicitly block driver selection through WRP.

Internet Printing Protocol, eSCL, and other modern standards are part of a broader effort to modernize traditional printing on Windows. Based on the Mopria Alliance industry initiative, these technologies are promoted as improving security, compatibility, and reliability in printer management across both x86 and Arm-based devices.

offbeat

Who needs fancy menus and high definition? 240-MP will play your media files like it’s 1999

I love Star Trek so much. I’ve watched most Trek series multiple times over the decades, and was shocked when, on my most recent watch of The Next Generation, I noticed something: High definition upscaling makes the show look way worse. 

Old-school 4:3 CRT television screens with their low resolution hid a lot of stuff, like tape on the Enterprise set doors that hid whatever names were stenciled on them for prior episodes, which are glaringly present on modern editions of the show. I’ve always been on the lookout for a way to capture the classic Trek feeling, and one … ahem … enterprising developer has done just that.

Anthony Caccese, a principal product lead for enterprise platforms at Oak Ridge National Laboratory by day and a Raspberry Pi tinkerer by night, recently published an open-source project called 240-MP on GitHub. It’s a simple concept: Text-based menus that look like an old-school VCR interface, but with modern functionality and, most importantly, the ability to play local media files and Plex libraries on an old-school CRT TV.

240-MP runs on a Raspberry Pi, is based on the command-line media player MPV, and can play local files (either on the Pi itself, a USB drive, an external hard disk, or even a network share) or media from a Plex server, as Caccese built modules for both local and Plex-based playback. If you don’t happen to have an old CRT TV or monitor lying around, or the necessary Pi-compatible composite cable to connect your SBC to said TV, 240-MP will also work with a modern screen and an HDMI connection, too. 

One note on the composite vs. HDMI option, as noted in the setup instructions: You will need to update the config.txt file to support one or the other, so have your output chosen ahead of time. 

Once the system is installed, you can navigate around 240-MP with either a remote control or a keyboard, where you’ll see text menus for navigating around to different folders, choosing episodes or playlists, switching audio and subtitle tracks, looping playback, and the like. It might look like an old-school VCR interface, but with a lot more capabilities. 

Caccese has only tested 240-MP on a Raspberry Pi 4B, 3B+, and 3B, noting that he’s not sure it’ll work on other devices and has no plans to test other hardware, either. 

What will be coming in the future, Caccese said in an accompanying YouTube video, is modules to support other media playback software, like Jellyfin (a popular Plex alternative in light of that massive price hike), and RetroArch, a frontend for emulators designed to play old-school video games.

“Please feel free to fork this repo, update any aspects and tailor things to your own use case; that’s why the source is fully open and available,” Caccese noted on GitHub. 

Now if I could only find a working CRT TV to pair with my old Raspberry Pi, I could go on a hardcore 90s nostalgia trip and feel just like I did watching VHS tapes of Star Trek episodes I recorded from the TV when I was a kid. After all, streaming high-def remasters just isn’t the same. ®

Most conversations about generative artificial intelligence in schools eventually zoom in on using AI in the classroom. Before districts redesign teaching and learning around AI, they may need to answer a more fundamental question: Can schools afford an AI-first future?

The question sounds strange because generative AI is often presented as software with free and low cost tiers to individual users. Teachers open a browser window, type a prompt, and receive a response in seconds. The experience feels almost weightless and as simple as a Google search. The infrastructure behind that interaction is much more complicated.

A useful way to think about generative AI is to remember the large desktop computers that once sat in school computer labs. Students interacted with a monitor and keyboard, but much of the important work happened elsewhere inside a massive tower packed with hardware.

Today’s AI systems operate similarly, except the tower has been replaced by massive data centers located hundreds or thousands of miles away — and increasingly in some cases, just a few miles away. 

Cost of Compute

An explanation is in order. How do chatbots and the hardware behind them work? Think of the chatbot prompt as the remote control. The hardware stored at the data center is the wiring within a television, and the chatbot’s output is what appears on screen as you watch and flick through channels. 

Every student prompt, teacher-generated lesson plan or AI-assisted feedback comment depends on specialized processors, networking infrastructure, electricity, water, and increasingly scarce computing capacity.

Most discussions about AI in education begin after those systems are already in place. However, a growing body of research suggests schools should pay closer attention to the infrastructure itself.

Researchers studying AI adoption in education have largely focused on classroom implementation, AI literacy and governance. Stanford’s review of the evidence base for AI in K-12 education found that adoption continues to outpace rigorous evidence about educational outcomes. At the same time, UNESCO and other organizations have increasingly emphasized governance, transparency and human oversight as schools experiment with AI tools.

A separate body of research examines the infrastructure that makes those tools possible. Urban planners, computer engineers and environmental researchers have begun documenting the physical footprint of artificial intelligence. Their work points to a reality that is largely invisible to educators: generative AI is both software and hardware that requires robust infrastructure to support and scale. 

Research by Xiaofan Liang, PhD on data centers describes how AI expansion increasingly shapes land use, energy systems, local planning decisions and community development. Research by Shaolei Ren, PhD on power and water demand demonstrates that large-scale AI deployment carries substantial resource requirements that extend well beyond the technology sector. Researchers and policymakers are now examining how data center growth affects electricity demand, water consumption, electrical grid capacity, and environmental sustainability. 

According to estimates cited by the Congressional Research Service, U.S. data centers consumed about 176 terawatt-hours of electricity in 2023, roughly 4.4% of all U.S. electricity consumption. Using average residential electricity consumption estimates from the U.S. Energy Information Administration, that’s enough electricity to power nearly 17 million American homes for a year. The map below shows where the United States sits in the world’s energy picture and why AI’s growing appetite for power matters.

Attribution: Hannah Ritchie, Pablo Rosado, and Max Roser (2020) – “Energy Production and Consumption” Published online at OurWorldinData.org. (archived on May 18, 2026).

Traditionally, districts purchase educational technology such as learning management systems, assessment platforms and instructional software through licensing agreements that can often be forecast years into the future. But generative AI operates differently.

Unlike traditional software, which becomes cheaper to distribute as it scales, generative AI continues generating costs each time users engage with the system. Industry observers increasingly point to what’s called “inference costs,” which are the computing resources required to generate responses. These are some of the major costs of LLMs for consumers and one of the central economic challenges facing AI companies.

For schools, how can a district plan for these costs, and what happens when the costs far exceed expectations? Put another way, it’s unclear whether generative AI is financially feasible for schools. 

Many districts are currently experimenting with AI through pilot programs, limited licenses or AI features embedded within existing products. There are few examples of what universal access would actually cost. 

What would it mean for every student and their teachers to have access to generative AI every day? Before we address this question, there is another cost variable to consider: data privacy.

Many educators and parents have expressed concerns about student information flowing into commercial AI systems. One response has been to advocate for private deployments, district-controlled systems or locally hosted models that offer greater oversight and protection.

Those approaches may provide stronger governance, but they also require additional investment. That makes student data privacy a matter of policy and infrastructure. The more control schools want over data, the more likely they are to encounter costs related to storage, cybersecurity, hardware, networking and technical expertise.

Understanding the Generative AI Market

Meanwhile, the broader market continues to evolve.

OpenAI, Anthropic and other major AI companies are still competing to define the commercial landscape. Product offerings change frequently. Pricing models continue to evolve. Infrastructure investments remain enormous.

The result is a technology ecosystem with long-term economics that remains uncertain at precisely the moment schools are being encouraged to integrate it more deeply into teaching and learning. This uncertainty arrives during a challenging financial period for many districts.

Federal ESSER funding has expired. States continue debating educational technology spending priorities. District leaders face growing pressure to justify technology investments while responding to staffing shortages, student mental health concerns, and academic recovery efforts post-COVID-19 school shutdowns.

Against that backdrop, AI presents a different kind of procurement question: Do districts understand the long-term commitments they may be making when AI becomes embedded in curriculum, assessment and daily operations?

There is still one more cost factor to consider: community impact around data centers. Data centers are expanding rapidly across the United States. Local governments and residents are increasingly debating the benefits and tradeoffs associated with new facilities. Questions about energy demand, water consumption, environmental exposure and land use have become common features of public meetings and planning discussions.

For educators, these debates may seem distant from classroom practice. But every discussion about AI in schools ultimately depends on the infrastructure being built in communities across the country.

Schools are currently debating how to integrate AI into teaching and learning while the infrastructure, economics and governance systems required to support large-scale adoption are still taking shape.

Before schools decide how deeply AI belongs in classrooms, they may need a clearer understanding of how much it costs and if it’s feasible to maintain the systems that make an AI-ready classroom possible.

Seattle-based drinkware maker MiiR is suing Tesla for allegedly copying the lid design and overall look of its stainless steel tumbler. The lawsuit, filed May 28 in US District Court in Seattle, alleges Tesla’s On The Road Tumbler infringes a design patent covering MiiR’s tumbler lid and mimics the cylindrical shape, rounded base, and vertical logo placement of its 360 Traveler Tumbler.

MiiR accuses Tesla of choosing to “substantially copy” its design rather than “innovate and develop its own unique style.” The company says Tesla was already aware of MiiR’s products because it had previously purchased or considered purchasing them.

At the centre of the case is MiiR’s lid, described in the patent as a “solid, saucer-shaped circular lid” whose circumference sits perpendicular to the sides of the container. The US Patent and Trademark Office granted the patent in February 2024. MiiR argues an ordinary observer would be deceived into thinking the two lids are the same or substantially similar.

MiiR also takes issue with Tesla’s logo placement. MiiR has used a distinctive vertical orientation of its etched brand name on drinkware since at least 2011. It says Tesla copied that same orientation on its tumbler rather than developing its own visual identity for the product.

The products are similar in size and price. MiiR’s 16-ounce 360 Traveler sells for $34 in eight colours. Tesla’s 14-ounce version is listed at $32 in three colours. Tesla sells the tumbler through its online shop and retail locations as part of a broader lifestyle merchandise line that includes apparel and accessories.

MiiR, founded in 2010, has won design awards from the Industrial Designers Society of America and donates a percentage of revenue from every product to environmental and community causes. It operates a production and warehouse facility in Marysville, Washington, north of Seattle. The company is represented by K&L Gates.

MiiR is seeking a permanent injunction to stop Tesla from selling the tumbler, damages, an accounting of Tesla’s profits from the product, and attorney fees. It is also asking the court to find that Tesla’s infringement was willful, which could result in enhanced damages. A separate claim under the Washington Consumer Protection Act alleges Tesla misled consumers into believing the tumbler was affiliated with or approved by MiiR.

Tesla has not publicly responded to the lawsuit. It is not the first time the company has faced intellectual property disputes over its product designs.

Valve is pulling physical Steam gift cards from retail stores, bringing an end to a program that has been around since 2012. The company confirmed, as spotted via SteamDB, that it will no longer send new stock of Steam gift cards to retailers once current supplies run out.

Digital Steam gift cards are not going away. Valve says users will still be able to buy them directly through Steam, and existing physical cards can still be redeemed whenever users choose. Retail stock, however, is expected to disappear by the end of 2026.

Why Valve is cutting off retail gift cards

Valve says the decision comes after years of scam-prevention efforts. The company says it worked with retailers and law enforcement, added prominent scam warnings, limited cards by currency, restricted availability, and removed cards from sale when unusual activity appeared. Unfortunately, scammers still adapted.

The issue is not limited to Steam. Scammers prefer gift cards because they are fast, widely available, and difficult to reverse once redeemed. A victim can buy one at a normal retail store, read out the code and PIN over the phone, and lose the money without ever handing over the physical card. Unlike a card payment or bank transfer, there is usually no simple chargeback process once the value has been claimed. Since no bank details are involved, it becomes much harder for victims or authorities to follow the money.

Who scammers target, and how the scam works

Gift card scams often target the elderly, isolated people, users who are less familiar with digital payments, and anyone who can be frightened into acting quickly. The setup usually starts with a phone call, email, text, or social media message.

Scammers may pretend to be government officials, tech support workers, debt collectors, utility companies, romantic partners, employers, or relatives in trouble. Although the story changes, the pressure tactic is usually the same. They insist on immediate payment, tell victims to keep the situation secret, and discourage them from ending the call.

Victims are often told exactly which card to buy and where to buy it. Once they share the number and PIN from the back of the card, the money can be drained remotely.

Valve is currently the only major company taking this step with physical gift cards. But if gift card scams keep growing, other companies may also decide that selling them in stores is no longer worth the risk.

Apple’s efforts to expand parental controls are a good start, and legally required soon. Like all safety systems, it’s only as strong as its weakest link.

On Monday, Apple spent 30 minutes of the WWDC 2026 discussing its latest updates to Child Accounts. These updates are designed to make using iPhone, iPad, and Mac safer for users under 18.

But how good are these features, really? Let’s break down what each one is, how it works, and why a lot of it ultimately doesn’t matter.

Communication Safety now blocks violence and gore blocking

Communication Safety was introduced in iOS 15.2 to protect children from viewing or sending images containing nudity. Communication Safety is enabled by default for all accounts under 18.

However, at some point, Apple realized that nudity isn’t the only kind of harmful content minors can be exposed to. That’s why, in iOS, iPadOS, and macOS 27, Messages will also block images and videos depicting gore and violence.

A new safety warning pops up for violence and gore in iOS 27

The feature works across multiple Apple device features, including Messages, AirDrop, Contact Posters, FaceTime calls and video messages, shared photo albums, and some third-party apps.

When sensitive content is detected, Communication Safety blurs the photo or video before the child can view or send it. It also presents multiple interventions before viewing or sending potentially illicit content.

If a child account is registered to a user under 13 with a Screen Time password enabled, the child will be unable to view sensitive content without the family organizer’s express permission.

Personally, I think this is a fantastic place to start. As I’ve said before, I don’t have kids, but I certainly am not short on friends who do.

I suspect, however, that this feature may be somewhat limited. Many kids don’t communicate primarily through FaceTime or Messages; instead, they use social media platforms like Instagram or catch-all apps like Discord.

Apple does make some of these features available to third-party developers, which I’ll discuss more below, but there’s no guarantee they will choose to integrate them.

Better control over who kids talk to with Communication Limits

Previously, Communication Limits allowed parents to manage when kids could communicate with others via Phone, FaceTime, and Messages. This meant you didn’t need to worry about your kids staying up super late to text their friends on school nights.

Now, in iOS 27, Communications Limits will require parents to approve any new contacts added to a child’s account. This is infinitely better, because now parents know exactly who is in their child’s contact list without needing to actively go through their phone.

Ask to Browse

One of Apple’s more underrated features is Ask to Buy. It requires a family organizer to sign off on purchases made by a child’s account.

Apple introduced the predecessor to Ask to Buy in 2011, a 15-minute time limit between requiring another password entry after purchasing in-app purchases.

Then, in 2014, Apple officially launched Ask to Buy, which gave parents a way to approve or decline purchases via the Family Sharing section in Settings. It would receive a second update in 2022 with iOS 16.2, integrating requests into the Messages app, eliminating the need to check Settings first.

Ask to Browse will require parents to approve websites for children under 13, and optionally for children under 18

Now, Apple is taking it a step further with Ask to Browse, set to debut in iOS 27. Ask To Browse will alert parents via Messages when a child wants to view a new website and allow remote approval.

Honestly, it’s surprising that Apple took this long. The feature should, at the very least, have been introduced in 2022 alongside the Ask to Buy Messages integration.

A better Screen Time experience

This fall, iOS 27 and its iPad and Mac counterparts will get an overhauled Screen Time experience.

Time Allowances will give parents more flexibility over how kids spend time in apps across categories. These categories, for example, might include Entertainment, Games, and Social Media.

Expanded Time Allowance controls make it easier to set up healthy screen time limits

Parents can set an overall time limit, such as two hours, for a child’s screen time. Then they can further customize how much time a child spends in each category, such as one hour on entertainment, half an hour on games, and half an hour on social media.

I like this quite a bit, especially because the interface is large and not intimidating, suggesting that it would be pretty easy to use for nearly anyone. It’s even better because it utilizes expert research to suggest appropriate screen time limits.

Help for parents, too (but only sort of)

One of the other things Apple mentioned was a brand new Child Safety guidance website. The website, which is live now, serves as a quick primer on all the safety features available to parents.

I’m putting extra emphasis on quick, by the way. It really doesn’t explain anything more than, say, any other Apple feature page.

Sure, it explains which features exist and which are coming soon, but that’s about it. There isn’t much information about what is inside the apps, what steps you’ll be expected to take, or why Apple suggests them.

Instead, it tells you that you can enable Find My on the Apple Watch for a child account. It tells you that Screen Time is a thing, sure, but not how to use it.

If I were in charge of the website, and I’m not, I would have, at the very least, linked out to the Apple User Guide or Support pages for each feature. At least then, a parent could know where to find each feature and how to customize it for their child.

Developers can participate, but don’t have to

To Apple’s credit, it’s trying to make it easier for developers to incorporate these safety features into their own apps.

For example, Apple offers the ScreenTime Framework to developers, giving them the tools to help parents supervise how much time their children spend in the app.

PermissionsKit, Apple’s developer framework that powers this process, allows third-party app developers to utilize the same Communication Limits Apple uses in FaceTime and Messages.

I think this could be huge for apps like Discord or Instagram. Whether those developers choose to do so is another matter entirely.

Communication Limits, used here in Messages, can be integrated into third-party apps via PermissionsKit

The SensitiveContentAnalysis framework helps check for and blur nudity in third-party apps. This feature should probably be utilized by apps like Instagram, Snapchat, and Discord as soon as possible.

Again, these are opt-in features made available to developers. Because there is no requirement to utilize them, certain apps will likely still pose a risk to minors.

It’s a good start, but it’s not there yet

One of the bigger problems with these safety features is that many are opt-in. A safety net only works if it’s being used.

Child Accounts for users under 13 automatically enable additional protections, such as Communication Safety, Ask to Buy, and Sensitive Content Warnings. When it launches in the fall, Ask to Browse will also be enabled for users 12 and under.

In iOS 27, Communication Safety will also be automatically enabled for users aged 13 through 17. This is a solid move, especially knowing that a significant portion of CSAM is actually self-generated or otherwise passed around by minors themselves.

But things like Ask to Browse and Ask to Buy are opt-in for children aged 13 and older. While there is a reasonable expectation that, say, a 17-year-old could deduce whether they should visit a website, I’m not sure the same logic applies to a 13-year-old.

Screen Time limits, which can be used to limit a young person’s exposure to social media, are currently opt-in, regardless of the child’s age. And not only is it opt-in, but it also requires a family organizer to sit down and undergo a not-insubstantial setup process.

That’s a big ask for some people. Doubly so if the parents aren’t aware of these features in the first place, or aren’t entirely sure how they work.

I don’t know how to make this situation better. Apple isn’t responsible for what third-party developers make available, and a parent may not realize the dangers of social media or instant messaging apps.

It’s certainly not illegal for a 13-year-old to have an Instagram account. What they come across on it isn’t Apple’s responsibility; it’s Meta’s.

Perhaps the answer is a more robust setup process for child accounts. Make parents opt out of features like Ask to Browse and Ask to Buy for all minors, rather than opt in.

We won’t know exactly how many of these features work until they’re fully implemented in the public releases. Child accounts under 13 are not eligible to participate in Apple’s beta tests.

Hopefully, though, they are at least another tool parents can utilize. Lord knows they need all the tools they can get.

Parenting isn’t easy, and the omnipresent internet certainly hasn’t made it easier. I suspect this will be an eternally ongoing process, and unfortunately, until we find the gaps in the current system, we may not know what is causing harm.

As always, my advice, and the advice of AppleInsider, is as follows: If you know someone who isn’t particularly tech-savvy, take the time to offer help.

If you know a parent who is getting their kid their first iPhone, offer to show them how to set it up safely. And if you are a parent, I personally suggest having an open, honest dialogue with your kids about how to stay safe online.