New rumors have started the chatter of a new Galaxy Pro flagship phone once again, and this immediately makes sense to me—but it’s not for flattering reasons. Samsung may be adding a fourth Galaxy S27 model next year, with a “Pro” variant expected to sit right below the top-of-the-line S27 Ultra.

This model essentially bridges the gap between the standard and Ultra Galaxy phones with high-end features, minus the S Pen. Some of these premium features could include the S26 Ultra’s new Privacy Display feature.

All of this sounds smart on paper, but it also sounds like acceptance.

After spending time with the Galaxy S26, I have a recurring thought. This compact phone has a solid software experience, reliable cameras, and is generally easy to recommend as a base flagship. But “reliable” is no longer enough when these devices carry flagship pricing.

The regular Galaxy S phones are where the problem is

Samsung’s own S26 comparison page shows the base S26 stuck at 25W charging, while the S26+ goes to 45W, and the Ultra got upgraded to 60W. The camera story lands the same way. Samsung’s Galaxy S26 and Galaxy S26+ share the same 12MP ultrawide, 50MP wide, and 10MP telephoto setup, while the Ultra gets the far more ambitious 50MP ultrawide, 200MP main, and 50MP + 10MP telephoto mix.

So apart from the Ultra, the other two models feel like an afterthought, but an expensive four-digit flagship one at that. This is why a Galaxy S27 Pro could make the S27 lineup feel less lethargic and more energetic. Just like the base Pixel 10 and Pixel 10 Pro and the base iPhone 17 and iPhone 17 Pro, there could be a clear distinction in the intermediate model. Right now, the base and Plus models do just enough. The Ultra does everything.

The Galaxy S27 Pro needs to be a course correction, not a rebrand

But a Pro model only works if Samsung uses it to create a truly convincing middle. One with faster charging, stronger camera hardware, and a better reason to exist below the Ultra.

I think Samsung is definitely in need of this change. But the name alone won’t be enough. If Samsung wants the Pro phone to matter, it has to make this non-ultra Galaxy S phone feel like more than just a safe default and start making it feel worth the premium money again. Otherwise, the S27 Pro will just be another label slapped onto a lineup where all the excitement only lives at the top.

Google on Monday quietly released an offline-first dictation app called “Google AI Edge Eloquent” on iOS to take on the likes of Wispr Flow, SuperWhisper, Willow, and others.

The app is free to download, and once its Gemma-based automatic speech recognition (ASR) models are downloaded, you can start dictating on your phone. In the app, you can see the live transcription, and when you hit pause, the app automatically filters out filler words like “um” and “ah” and polishes the text.

Below the transcript are options like “Key points”, “Formal”, “Short”, and “Long” to transform the text.

You can also turn off the cloud mode to use local-only processing. (When cloud mode is on, the app uses cloud-based Gemini models for text cleanup.) The Google AI Edge Eloquent can import certain keywords, names, and jargon from your Gmail account, if desired. Plus, you can add your own custom words to the list.

The app displays the history of the transcription session and lets you search through all of them as well. It can show you words dictated in the last session, your word per minute speed, and the total number of words spoken.

“Google AI Edge Eloquent is an advanced dictation app engineered to bridge the gap between natural speech and professional, ready-to-use text. Unlike standard dictation software that transcribes stumbles and filler words verbatim, Eloquent utilizes AI to capture your intended meaning. It automatically edits out ‘ums,’ ‘uhs,’ and mid-sentence self-corrections, outputting clean, accurate prose,” the company’s App Store description reads.

While the app is currently only available on iOS, the App Store description references an Android version. (We have reached out to Google for more information, and will update the story if we hear back.)

According to the description, Eloquent offers “seamless Android integration,” where it can be set as users’ default keyboard for system-wide access across any text field. Plus, the app will be able to use the floating button feature, similar to the one Wispr Flow uses on Android, for easy access to transcription from anywhere.

AI-powered transcription apps are gaining popularity among users as speech-to-text models get better. With this experimental app, Google is joining the trend. If this test is successful, we could see improved transcription features across Android, too.

Enterprise AI programs rarely fail because of bad ideas. More often, they get stuck in ungoverned pilot mode and never reach production. At a recent VentureBeat event, technology leaders from MassMutual and Mass General Brigham explained how they avoided that trap — and what the results look like when discipline replaces sprawl.

At MassMutual, the results are concrete: 30% developer productivity gains, IT help desk resolution times reduced from 11 minutes to one, and customer service calls cut from 15 minutes to just one or two.

“We’re always starting with why do we care about this problem?” Sears Merritt, MassMutual’s head of enterprise technology and experience, said at the event. “If we solve the problem, how are we gonna know we solved it? And, how much value is associated with doing that?”

Defining metrics, establishing strong feedback loops

MassMutual, a 175-year-old company serving millions of policy owners and customers, has pushed AI into production across the business — customer support, IT, customer acquisition, underwriting, servicing, claims, and other areas.

Merritt said his team follows the scientific method, beginning with a hypothesis and testing whether it has an outcome that will tangibly drive the business forward. Some ideas are great, but they may be “intractable in the business” due to factors like lack of data or access, or regulatory constraint.

“We won’t go any further with an idea until we get crystal clear on how we’re going to measure, and how we’re going to define success.”

Ultimately, it’s up to different departments and leaders to define what quality means: Choose a metric and define the minimum level of quality before a tool is placed into the hands of teams and partners.

That starting point creates a quick feedback loop. “The things that we find slow us down is where there isn’t shared clarity on what outcome we’re trying to achieve,” which can lead to confusion and constant re-adjusting, said Merritt. “We don’t go to production until there is a business partner that says, ‘Yes, that works.’”

His team is strategic about evaluating emerging tools, and “extremely rigorous” when testing and measuring what “good” means. For instance, they perform trust scoring to lower hallucination rates, establish thresholds and evaluation criteria, and monitor for feature and output drift.

Merritt also operates with a no-commitment policy — meaning the company doesn’t lock itself into using a particular model. It has what he calls an “incredibly heterogeneous” technology environment combining best of breed models alongside mainframes running on COBOL. That flexibility isn’t accidental. His team built common service layers, microservices and APIs that sit between the AI layer and everything underneath — so when a better model comes along, swapping it in doesn’t mean starting over.

Because, Merritt explained, “the best of breed today might be the worst of breed tomorrow, and we don’t want to set ourselves up to fall behind.”

Weeding instead of letting a thousand flowers bloom

Mass General Brigham (MGB), for its part, took more of a spray and pray approach — at first.

Around 15,000 researchers in the not-for-profit health system have been using AI, ML, and deep learning for the last 10 to 15 years, CTO Nallan “Sri” Sriraman said at the same VB event.

But last year, he made a bold choice: His team shut down a sprawl of non-governed AI pilots. Initially, “we did follow the thousand flowers bloom [methodology], but we didn’t have a thousand flowers, we had probably a few tens of flowers trying to bloom,” he said.

Like Merritt’s team at MassMutual, MGB pivoted to a more holistic view, examining why they were developing certain tools for specific departments of workflows. They questioned what capabilities they wanted and needed and what investment those required.

Sriraman’s team also spoke with their primary platform providers — Epic, Workday, ServiceNow, Microsoft — about their roadmaps. This was a “pivotal moment,” he noted, as they realized they were building in-house tools that vendors were already providing (or were planning to roll out).

As Sriraman put it: “Why are we building it ourselves? We are already on the platform. It is going to be in the workflow. Leverage it.”

That said, the marketplace is still nascent, which can make for difficult decisions. “The analogy I will give is when you ask six blind men to touch an elephant and say, what does this elephant look like?” Sriraman said. “You’re gonna get six different answers.”

There’s nothing wrong with that, he noted; it’s just that everybody is discovering and experimenting as the landscape keeps shifting.

Instead of a wild West environment, Sriraman’s team distributes Microsoft Copilot to users across the business, and uses a “small landing zone” where they can safely test more sophisticated products and control token use.

They also began “consciously embedding AI champions“ across business groups. “This is kind of a reverse of letting a thousand flowers bloom, carefully planting and nourishing,” Sriraman said.

Observability is another big consideration; he describes real-time dashboards that manage model drift and safety and allow IT teams to govern AI “a little more pragmatically.” Health monitoring is critical with AI systems, he noted, and his team has established principles and policies around AI use, not to mention least access privileges.

In clinical settings, the guardrails are absolute: AI systems never issue the final decision. “There’s always going to be a doctor or a physician assistant in the loop to close the decision,” Sriraman said. He cited radiology report generation as one area where AI is used heavily, but where a radiologist always signs off.

Sriraman was clear: “Thou shall not do this: Don’t show PHI [protected health information] in Perplexity. As simple as that, right?”

And, importantly, there must be safety mechanisms in place. “We need a big red button, kill it,” Sriraman emphasized. “We don’t put anything in the operational setting without that.”

Ultimately, while agentic AI is a transformative technology, the enterprise approach to it doesn’t have to be dramatically different. “There is nothing new about this,” Sriraman said. “You can replace the word BPM [business process management] from the ’90s and 2000s with AI. The same concepts apply.”

Three YouTube channels have banded together and filed a class action lawsuit against Apple, as first spotted by MacRumors. According to the lawsuit, the creators behind h3h3 Productions, MrShortGameGolf and Golfholics have accused Apple of violating the Digital Millennium Copyright Act by scraping copyrighted videos on YouTube to train its AI models.

While the YouTubers’ videos are available to watch on the platform, the lawsuit alleged that Apple illegally circumvented the “controlled streaming architecture” that regular users are limited to. The creators claimed that Apple’s video scraping was used to train its generative AI products, adding that the tech giant’s “massive financial success would not have been possible without the video content created” by the YouTubers. MacRumors noted that these YouTube channels have also filed similar lawsuits against other tech companies, including Meta, Nvidia, ByteDance and Snap.

It’s not the first time a company’s alleged AI training methods have gotten them in legal trouble. OpenAI and Microsoft were both accused of using copyrighted articles from the NYTimes to train its AI chatbots. Similarly, Perplexity was recently sued by Reddit and Encyclopedia Britannica for alleged copyright and trademark infringements. Last year, Apple was also named in a separate class action lawsuit from two neuroscience professors who claimed their copyrighted works were used without permission. We reached out to Apple for comment and will update the story when we hear back.

from the what-would-jesus-bomb dept

Before we get into this, let’s set the scene a little:

The latest Pew Research Center survey, conducted Jan. 20-26, 2026, finds that most White evangelicals (69%) approve of the way Trump is handling his job as president. And a majority (58%) say they support all or most of his plans and policies.

Let that sink in for a bit. The operative term here is probably “white,” but Trump has been embraced by the evangelical community, despite his being about as far removed from the ideals of Christianity as their arch-nemesis, trans people the Devil. (And let’s not forget I’m talking about the ideals, which are often preached but rarely practiced.)

Here’s how Trump handled Easter morning, one of the holiest (no pun intended) holidays observed by the people most likely to support him no matter what:

In Trump’s own words, at 5:03 am on Easter Sunday:

Tuesday will be Power Plant Day, and Bridge Day, all wrapped up in one, in Iran. There will be nothing like it!!! Open the Fuckin’ Strait, you crazy bastards, or you’ll be living in Hell – JUST WATCH! Praise be to Allah. President DONALD J. TRUMP

Now, I have to admit that when I first read this, I thought Trump was announcing some new celebration of US infrastructure before derailing his own train of thought. But it’s definitely not that.

It’s the other thing… which turns out to be Trump announcing planned war crimes. Again.

Both sides have threatened and hit civilian targets like oil fields and desalination plants critical for drinking water. Iran’s U.N. mission on social media called Trump’s threat “clear evidence of intent to commit war crime.”

Iran’s military joint command warned of stepped-up retaliatory attacks on regional oil and civilian infrastructure if the U.S. and Israel attack such targets there, according to state television.

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The laws of armed conflict allow attacks on civilian infrastructure only if the military advantage outweighs the civilian harm, legal scholars say. It’s considered a high bar to clear, and causing excessive suffering to civilians can constitute a war crime.

While it looks like both sides in this war are willing to strike civilian infrastructure, the United States should be trying to take the high road (the one without war crimes). And if it can’t be bothered to do that, the administration should — at the very least — try to keep the president from publicly saying we’re going to commit war crimes.

But, alas, there’s no one willing to stop him. Pete Hegseth is definitely relishing his unearned role as the Secretary of Defense (“Back to the Stone Age.”) And he appears to be firing anyone who disagrees with things like drone-killing people in international waters and, you know, engaging in war crimes.

Both Trump and Hegseth have publicly claimed they’re doing God’s work by going to war with Iran, something that has been echoed by the same demographic detailed in the Pew Research survey.

Shamefully, they won’t see a drop in support despite Trump threatening war crimes, dropping an F-bomb, and promising to send people halfway around the world to hell, as if he were a god himself. And that’s a damning indictment of an entire segment of Americans who choose to treat their religion as a weapon and want the world to be remade in their own image — something they often accuse Muslims of doing. The irony is lost on them, along with the man they’ve chosen to treat as God’s appointed leader.

We’ve had a lot of low points as a nation, but usually we’ve at least tried to improve. That’s no longer the case. We’re under the rule of people who debase and abuse the nation they claim to love. Happy Fuckin’ Easter, you crazy bastards. Welcome to Hell.

Filed Under: evil, iran war, pete hegseth, trump administration, war crimes

Companies: truth social

Apple released the first public beta of iOS 26.5 on Monday, about two weeks after the company released the massive iOS 26.4 update, which included new emoji, video podcasts and more. The iOS 26.5 beta brings a few smaller — but significant — changes to the iPhones of developers and beta testers, including one feature that will be familiar to anyone who has kept up with past iOS betas.

Because this is a beta, I recommend downloading it only on something other than your primary device. This isn’t the final version of iOS 26.5, so the update might be buggy and battery life may be short, so it’s best to keep those troubles on a secondary device.

Also, since this isn’t the final version, there could be more features to land on your iPhone whenever 26.5 is released.

Here are some features developers and beta testers can try now, and what could land on your iPhone when Apple releases iOS 26.5.

End-to-end encrypted RCS messaging returns

The iOS 26.5 beta brings back an option to enable end-to-end encrypted RCS messaging on your device. When Apple brought RCS messaging to iPhones with iOS 18, one feature the messaging protocol was missing was end-to-end encryption, and iOS 26.5 could finally bring this privacy protection to your iPhone.

To find this setting, go to Settings > Apps > Messages > RCS Messaging and tap the slider next to End-to-End Encryption (Beta). 

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Apple writes in the feature’s description that it’s still in beta and it works only on certain carriers and devices. Apple also writes that these encrypted messages will be labeled as such, so you should know when your messages do and don’t have this level of protection.

Apple included end-to-end encrypted RCS messaging in beta versions of iOS 26.4, but the tech giant didn’t include the feature in the final release.

Suggested Places in Maps

The iOS 26.5 beta also brings a new section called Suggested Places to your Maps app. Once in the app, tap your Search bar like you’re going to look up a nearby cafe or restaurant, and the section Suggested Places will appear below Recents.

Those are a few of the new features developers and public beta testers can try now with the first public beta of iOS 26.5. There will likely be more betas before the OS is released to the public, so there’s plenty of time for Apple to change these features and add others. Apple has not said when it will release iOS 26.5 to the general public.

For more iOS news, here’s everything you should know about iOS 26.4 and iOS 26.3. You can also check out our iOS 26 cheat sheet.

Watch this: Sharing Our Biggest Apple Memories After 50 Years

09:23

Building the next generation of robots for successful integration into our homes, offices, and factories is more than just solving the hardware and software problems – we also need to understand how they will be perceived and how they can work effectively with people in those spaces.

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In summer 2025, RAI Institute set up a free popup robot experience in the CambridgeSide mall, designed to let people experience state-of-the-art robotics first hand. While news stories about robots and AI are common, with some being overly critical and some overly optimistic, most people have not encountered robots in the flesh (or metal) as it were. With no direct experience, their opinions are largely shaped by pop culture and social media, both of which are more focused on sensational stories instead of accurate information about how the robots might be used effectively and where the technology still falls short. Our goal with the popup was two-fold: first, to give people an opportunity to see robots that they would otherwise not have a chance to experience and second, to better understand how the public feels about interacting with these robots.

Designing a Robot Experience for the General Public

Some earlier versions legged robots, built by the RAI Institute’s Executive Director, Marc RaibertRAI Institute

The ANYmal by ANYrobotics (left) and a previous model of the RAI Institute’s UMV (right)RAI Institute

The pop-up space had two areas: a museum area where people could see historical and modern robots, including some RAI Institute builds like the UMV and an interactive experience called “Drive-a-Spot”. This area was a driving arena where anyone who came by could take the controls of a Spot quadruped, one of the more recognizable, commercially available robots available today.

The guest robot drivers used a custom controller built on an adaptive video game controller that was designed so that anyone of any age could use it. It featured basic controls: move forward, back, left, right, adjust height, sit, stand, and tilt. The buttons were large so that tiny or elderly hands could use the controller and the people who drove Spot ranged in age from two to over 90.

The guest robot drivers used a custom controller built on an adaptive video game controller that was designed so that anyone of any age could use it.RAI Institute

The demo area was designed to be a bit challenging for the Spot robot to maneuver in – it contained tight passages, low obstacles to step over, a barrier to crouch under, and taller objects the robot had to avoid. Much to the surprise of many of our guests, Spot is able to autonomously adjust itself to traverse and avoid those obstacles when being supervised by the joystick.

RAI Institute

The driving arena’s theme rotated every few weeks across four scenarios: a factory, a home, a hospital, and an outdoor/disaster environment. These were chosen to contrast settings where robots are broadly accepted (industrial, emergency response) with settings where public ambivalence is well-documented (domestic, healthcare).

The visitors who chose to drive the Spot robot could also participate in a short survey before and after their driving experience. The survey focused on two core dimensions:

• Comfort: how comfortable would you feel if you encountered a robot in a factory, home, hospital, office, or outdoor/disaster scenario?
• Suitability: how well would this robot work in each of those contexts?

The survey also recorded emotional reactions immediately after driving, likelihood to recommend the experience, and open-ended responses about what they found memorable or surprising. The researchers were careful to separate the environment participants drove through from the scenarios they were asked to evaluate in the survey). This distinction is important for interpreting the results given below.

Did Interacting with the Robot Change People’s Feelings about Robots?

Out of approximately 10,000 guests that visited the Robot Lab, 10 percent of those drove the Spot and opted-in to our surveys. Of those surveyed, more than 65% of people had seen images or videos of Spot robots online, but most had never seen one of the robots in person.

Increased Comfort Through Experience

Across all five contexts presented in the survey (factory, home, hospital, office, and outdoor/disaster scenarios), comfort scores increased significantly after the driving session. The effects were small to moderate in magnitude, but they were consistent and statistically robust after correcting for multiple comparisons across all participants spanning children to older adults.

The largest gain appeared in the outdoor/disaster context, which started with low comfort despite high-perceived suitability. People already thought Spot would be useful in search-and-rescue scenarios; they just weren’t comfortable with it performing in that scenario. This discomfort may stem from media portrayals of quadruped robots in military contexts. A few minutes of hands-on control appears to partially dissolve that apprehension.

Participants who drove through the factory-themed arena showed no significant increase in comfort, but this scenario already had the highest rating of any rated context at baseline, leaving little room for improvement.

No matter their previous experience, most people were neutral about having a Spot robot in their home before their driving experience. However, after the experience of controlling the Spot robot, people had a statistically significant increase in their comfort at having a Spot in their home and also felt that a Spot robot was more suitable for work in any environment, not just the one they had driven it in.

Better Understanding of Where Robots Can Fit into Daily Life

Perceived suitability for Spot to operate in each context also increased. However, the pattern in the data is different. The largest gains weren’t in the high-baseline industrial and outdoor contexts. They were in home, office, and hospital – the very environments where people started out most skeptical.

Participants who drove the Spot robot in a home-themed environment didn’t just consider homes more suitable for robots; they also rated hospitals and offices as more suitable. This result suggests that hands-on control alters something more fundamental than just context-specific familiarity. It may change a person’s underlying understanding of a robot’s capabilities and, consequently, where they believe robots are appropriate.

Results by Demographic

The hands-on experience seems to be similarly effective across genders, although it does not completely eliminate existing disparities. For example, men reported higher baseline comfort than women across all five contexts. However, all genders improved at similar rates after interaction. The gap didn’t significantly widen or close in most contexts, though it did narrow in factory and office settings.

Age effects were more context dependent. Children (aged 8–17) rated factory environments as less comfortable and less suitable before the study. However, this could be because most children do not have experience with factory settings or industrial environments. After interaction, this gap largely persisted. By contrast, children showed stronger gains in office comfort than older adults and entered the study rating home contexts more favorably than adults did.

Participants ranged from age 8 to over age 75.RAI Institute

Participants who had previously driven Spot (mainly robotics professionals) began with higher comfort across the board. But after the hands-on session, people with no prior exposure caught up to experienced drivers. This level of familiarity would be difficult to replicate with images and videos alone.

Post-Interaction Results

Post-interaction emotional data was overwhelmingly positive. “Excitement” was reported by 74% of participants, “happiness” by 50%, and only 12% reported “nervousness.” Over 55% rated the experience as “brilliant” and 62% said they were very likely to recommend it to a friend.

The open-ended responses added a lot more color. The most commonly mentioned moments were locomotion and terrain adaptation (22%). This included the way Spot navigated steps, tight spaces, and uneven ground and expressive tilt movements (22%), which people found surprisingly dog-like or dance-like. A smaller set of responses (3%) described anthropomorphic reactions: worrying about “hurting” the robot or finding its behavior “silly” in a way that prompted genuine emotional response.

When asked what tasks they’d want a robot to perform, responses shifted meaningfully. Before driving, answers clustered around domestic assistance and heavy or hazardous labor. After driving, domestic help remained prominent, but entertainment and play jumped from 7.5% to 19.4%. Companionship also appeared at 5%. References to hazardous or industrial tasks declined as people who had operated the robot began imagining it as a companion and playmate, not just a labor-replacement tool.

Key Takeaways from The Robot Lab

In the not-so-distant future, robots will become more common in public and private spaces. But whether that integration into daily life will be accepted by the general public remains to be seen. The standard approach to building acceptance has been passive exposure such as videos, exhibits, and articles. This study suggests giving people agency and letting them actually operate a robot is a qualitatively different intervention.

Short, well-designed, hands-on encounters can raise comfort in precisely the social domains where ambivalence is highest and where future robotics deployment will likely take place. This hands-on experience shouldn’t be limited to tech conferences and museums, as it may be more valuable than just entertaining.

Fun for all ages!RAI Institute

We consider the popup a success, but as with all experiments, we also learned a lot along the way. For our takeaways, in addition to the increased comfort with robots, we also found that the guests to our space really enjoyed talking to the robotics experts that staffed the location. For many people, the opportunity to talk to a roboticist was as unique as the opportunity to drive a robot, and in the future, we are excited to continue to share our technical work as well as the experiences of our humans in addition to our humanoids.

Does building a space where folks can experience robots firsthand have the potential to create meaningful, long-term attitude shifts? That remains an open question. But the effect’s direction and consistency across different situations, ages, and genders are hard to ignore.

Pop-Up Encounters with Spot: Shaping Public Perceptions of Robots Through Hands-On Experience, by Hae Won Park, Georgia Van de Zande, Xiajie Zhang, Dawn Wendell, and Jessica Hodgins from the RAI Institute and the MIT Media Lab, was presented last month at the 2026 ACM/IEEE International Conference on Human-Robot Interaction in Edinburgh, Scotland.

For the fifth and final time, The Boys are coming back. Season 5 of Amazon’s hit series, which was created by Eric Kripke and inspired by the comic book run by Garth Ennis and Darick Robertson, returns for its victory lap. That’s not to say that this is really the end — The Boys’ cinematic universe has grown with spinoffs Gen V, the short-lived Diabolical animated series and the other in-development spin-off currently in the works.

But by all accounts, this is the last run of Homelander and Billy Butcher’s respective crews. Their five-season-long story arc, and the enduring battle between Butcher’s resistance fighters and Vought’s 7, will reach its final crescendo. Needless to say, the internet is about to be lit up with Supe reviews, rumors and gossip.

All the familiar faces are back, including Antony Starr, Karl Urban, Jack Quaid, Erin Moriarty, Chace Crawford, Jessie T. Usher, Laz Alonso and Tomer Capone. Jensen Ackles makes his return as Soldier Boy; his Supernatural co-stars Jared Padalecki and Misha Collins are also on board for the new season.

Scroll on to learn when and where to watch The Boys season 5 and more streaming details.

Read more: Prime Video: 24 of the Best Sci-Fi TV Shows You Need to Stream Right Now

When does The Boys season 5 come out?

The Boys will have a two-episode premiere for its fifth season, kicking off on Wednesday, April 8, at 12 a.m. PT (3 a.m. ET) on Prime Video. Each Wednesday after, a new episode will drop until the finale, which is scheduled to hit streaming on May 20.

Here’s the complete episode schedule:

• Episode 1: Fifteen Inches of Sheer Dynamite — April 8
• Episode 2: Teenage Kix — April 8
• Episode 3: Every One of You Sons of Bitches — April 15
• Episode 4: Though the Heavens Fall — April 22
• Episode 5: One-Shots — April 29
• Episode 6: King of Hell — May 6
• Episode 7: The Frenchman, the Female and the Man Called Mother’s Milk — May 13
• Episode 8: Blood and Bone — May 20

Prime Video is one of the membership perks of Amazon Prime, which costs $15 a month or $139 a year. If you’d like a membership but don’t want to get Amazon Prime, you can do so for $9 a month. 

Prime Video’s standard service comes with ad breaks for viewers in the US. If you want to go ad-free, there’s an additional $3 monthly fee. This option is available to both Amazon Prime subscribers and those who pay for a standalone Prime Video membership. For more information about the streamer, check out our review.

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How to watch The Boys season 5 with a VPN

If you’re traveling abroad and want to watch The Boys while away from home, a VPN can help enhance your privacy and security when streaming. 

It encrypts your traffic and prevents your internet service provider from throttling your speeds. Additionally, it can be helpful when connecting to public Wi-Fi networks while traveling, providing an extra layer of protection for your devices and logins. VPNs are legal in many countries, including the US and Canada, and can be used for legitimate purposes such as improving online privacy and security. 

However, some streaming services may have policies restricting VPN use to access region-specific content. If you’re considering a VPN for streaming, check the platform’s terms of service to ensure compliance. 

If you choose to use a VPN, follow the provider’s installation instructions to ensure you’re connected securely and in compliance with applicable laws and service agreements. Some streaming platforms may block access when a VPN is detected, so verifying if your streaming subscription allows VPN use is crucial.

ExpressVPN is our current best VPN pick for people who want a reliable and safe VPN, and it works on a variety of devices. Prices start at $3.49 a month on a two-year plan for the service’s Basic tier.

Note that ExpressVPN offers a 30-day money-back guarantee.

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If you choose to use a VPN, follow the provider’s installation instructions, ensuring you’re connected securely and in compliance with applicable laws and service agreements. Some streaming platforms may block access when a VPN is detected, so verifying if your streaming subscription allows VPN usage is crucial.

While browsing our website a few weeks ago, I stumbled upon “How and When the Memory Chip Shortage Will End” by Senior Editor Samuel K. Moore. His analysis focuses on the current DRAM shortage caused by AI hyperscalers’ ravenous appetite for memory, a major constraint on the speed at which large language models run. Moore provides a clear explanation of the shortage, particularly for high bandwidth memory (HBM).

As we and the rest of the tech media have documented, AI is a resource hog. AI electricity consumption could account for up to 12 percent of all U.S. power by 2028. Generative AI queries consumed 15 terawatt-hours in 2025 and are projected to consume 347 TWh by 2030. Water consumption for cooling AI data centers is predicted to double or even quadruple by 2028 compared to 2023.

But Moore’s reporting shines a light on an obscure corner of the AI boom. HBM is a particular type of memory product tailor-made to serve AI processors. Makers of those processors, notably Nvidia and AMD, are demanding more and more memory for each of their chips, driven by the needs and wants of firms like Google, Microsoft, OpenAI, and Anthropic, which are underwriting an unprecedented buildout of data centers. And some of these facilities are colossal: You can read about the engineering challenges of building Meta’s mind-boggling 5-gigawatt Hyperion site in Louisiana, in “What Will It Take to Build the World’s Largest Data Center?”

We realized that Moore’s HBM story was both important and unique, and so we decided to include it in this issue, with some updates since the original published on 10 February. We paired it with a recent story by Contributing Editor Matthew S. Smith exploring how the memory-chip shortage is driving up the price of low-cost computers like the Raspberry Pi. The result is “AI Is a Memory Hog.”

The big question now is, When will the shortage end? Price pressure caused by AI hyperscaler demand on all kinds of consumer electronics is being masked by stubborn inflation combined with a perpetually shifting tariff regime, at least here in the United States. So I asked Moore what indicators he’s looking for that would signal an easing of the memory shortage.

“On the supply side, I’d say that if any of the big three HBM companies—Micron, Samsung, and SK Hynix—say that they are adjusting the schedule of the arrival of new production, that’d be an important signal,” Moore told me. “On the demand side, it will be interesting to see how tech companies adapt up and down the supply chain. Data centers might steer toward hardware that sacrifices some performance for less memory. Startups developing all sorts of products might pivot toward creative redesigns that use less memory. Constraints like shortages can lead to interesting technology solutions, so I’m looking forward to covering those.”

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