Blogroll

Compact crossovers have basically become the default new car for Americans. They’re easier to live with than larger SUVs, cheaper to run, and now come packed with tech and comfort features that used to feel reserved for pricier vehicles.

It might be cold in Saskatchewan but now we have the Heated Rivalry fleece to keep us warm! We asked (begged, relentlessly) for a brand to make the Canada fleece we all fell in love with from the hit HBO/Crave show, and Canadian brand Province of Canada was listening. After months of waiting, we finally have pre-order information. Here's everything we know so far ahead of the launch on June 3.

View this post on Instagram How to score the limited-edition Heated Rivalry fleece jacket

Set your alarm, tell work you're busy, hire a sitter, because pre-orders go live at Province of Canada on June 3 at noon ET. Since the brand expects high demand, they're limiting pre-orders to one fleece per customer.

In June, Province of Canada met with Heated Rivalry costume designer Hanna Puley to design the fleece as a "collectible piece for fans of the series," according to the brand's press release. As of now, we don't have photos that depict the final fleece design. That information will become available on June 3.

It's worth mentioning that while pre-orders go live on June 3, the brand expects to ship all fleece jackets sometime between October 1 and 15. So we won't be wearing the fleece at the cottage this summer. Fall is a more appropriate time for a fleece anyway, right?

How much will the fleece cost with shipping to the U.S.?

So far, we don't have pricing information for the Heated Rivalry fleece. Province of Canada says that information will go live during pre-order launch on June 3. We do, however, have shipping information. Orders heading to the U.S will have a shipping fee of $25 CAD, which works out to about $18 USD with the exchange rate as of May 27.

Hoodies listed on Province of Canada's site sell for about $100 USD and some sweatshirts and fleece overshirts go up to about $150 USD. Since the fleece is limited edition, we wouldn't be surprised to see it selling for more than average.

Province of Canada is donating 10% of net profits from the fleece to support You Can Play, a nonprofit that works with LGBTQ+ inclusion in sports. In addition, both the NHL and NHLPA are matching these donations up to $25,000 CAD each, for a potential total of an extra $50,000 CAD.

Sizing and return information

We're thrilled to see Province of Canada will be making the fleece in sizes that range from XS to 5XL. You can check out the size chat here to get an idea of which size will work best. Keep in mind, all sales on the fleece are considered final sale. Province of Canada says that, due to demand, the fleece won't be eligible for returns or exchanges.

How to order official Heated Rivalry merch before June 3

If you can't wait until June 3 to pre-order the fleece or for it to arrive in October, check out the official Heated Rivalry merch store. What was completely sold out for months is now stocked with t-shirts, hats, and accessories.

Now that Memorial Day weekend has passed, let the summer festivities begin. For many of you, that will include a vacation that might involve a plane ride. Some people love to sleep on planes, while others prefer to pull out a book and read. For me, I use my time on a plane to watch movies and TV shows. If I'm stuck on a plane for several hours, why not catch up on some shows I missed?

SAVE 30%: As of May 27, you can get the DJI Osmo Action 4 for $208.98 at Amazon, down from $299. That's a 30% discount or $90.02 savings.

DJI Osmo Action 4 $208.98 at Amazon
$299 Save $90.02   Get Deal at Amazon Get Deal at Amazon Get Deal at B&H Photo Video

If you've ever tried to awkwardly hover your phone over a swimming pool or hang it out of a moving vehicle just to get a good vacation video, it's probably time to invest in an action camera.

As of May 27, you can get the DJI Osmo Action 4 for $208.98 at Amazon, down from $299. That's a 30% discount or $90.02 savings. It's also the lowest price we've tracked and a great price point for beginners who literally can't afford to put their phone in danger anymore.

SEE ALSO: The DJI Power 1000 V2 is a near-perfect portable power station for content creators

The Osmo Action 4 shoots 4K video at 120fps and features a 155-degree ultra-wide field of view. It also has a 1/1.3-inch sensor that handles low light well enough to keep your underwater and evening clips from getting grainy.

At a glance

• Modern AI systems are powerful not because they replicate human intelligence, but because they presuppose it, by extending structures already present in human cognition and language.
• This perspective helps explain both AI’s remarkable capabilities and its recurring boundaries, including hallucinations and breakdowns in reasoning.
• This research argues that AI safety is a system-level challenge, shifting attention from “rogue AI” narratives toward harnessing engineering and governance.
• Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems.

AI systems today can write essays, generate code, summarize complex ideas, and carry on conversations with remarkable fluency. Yet those same systems still struggle with tasks humans find intuitive: reliably tracking objects through change, reasoning compositionally in unfamiliar situations, or distinguishing truth from plausible fiction. These contradictions have fueled polarized debates about AI. Some see current systems as early forms of human-like intelligence; others dismiss them as sophisticated autocomplete. 

In recent interdisciplinary work – including Adam Frank, Marcelo Gleiser, and Evan Thompson’s The Blind Spot (opens in new tab) and DeepMind researcher Alexander Lerchner’s The Abstraction Fallacy (opens in new tab) – a different picture is emerging. Rather than asking whether AI systems are becoming intelligent in the human sense, these approaches ask a more basic question: What if AI systems work because they rely on structures that are rooted in human cognition? This shift in perspective, which draws on the phenomenology of Edmund Husserl, helps make sense of both the capabilities and the limits of modern AI. 

In our recent paper, The Origins of Artificial Intelligence in Natural Intelligence, we argue that modern AI systems are best understood neither as human minds nor as trivial statistical tricks. Instead, they extend structures that originate in human cognition itself. Further drawing on the phenomenology of Husserl, the paper proposes that language already contains sedimented structures of human understanding —structures that AI systems learn to model and extend. This perspective helps explain both the capabilities and the boundaries of contemporary AI.  

Human perception is not simply passive reception of sensory data. We experience the world as stable things unfolding through change: a cup remains the same cup as we move around it; a melody remains recognizable even as individual notes pass away. Language emerges by expressing these stable structures in conceptual form. Words like “red,” “round,” or “larger than” articulate relationships that originate in lived experience. 

Large language models learn statistical relationships within this linguistic world. They capture how concepts tend to relate across enormous bodies of human writing. This explains why AI systems can produce coherent responses across many domains. But it also explains why they hallucinate. Humans remain answerable to the world: experience continually corrects our expectations and beliefs. AI systems, by contrast, extend patterns within text itself. They can continue a line of reasoning with remarkable fluency, but they lack the lived engagement with the world that anchors meaning and truth.

AI Extends Human Cognition 

This framework helps explain several recurring challenges in AI research. One is the “compositionality gap”—the tendency for language models to perform well on familiar reasoning patterns while failing when asked to combine concepts in genuinely novel ways. Research increasingly shows that larger models improve fluency and factual recall much faster than they improve true compositional reasoning. From our perspective, this is not simply an engineering limitation but a structural boundary: AI systems can extend patterns already sedimented in language, but they do not possess the world-directed understanding that allows humans to generate genuinely new conceptual relations. 

A similar pattern appears in multimodal systems that combine language and vision. These systems can often label images correctly while still failing at robust reasoning about objects and their parts. They learn correlations between visual patterns and language rather than perceiving stable objects unfolding through time in the way humans do. The result is systems that can appear impressively fluent while remaining surprisingly brittle outside familiar patterns. 

This perspective also reframes debates about AI safety. Public discussion often swings between fears of “rogue superintelligence” and claims that AI poses little meaningful risk. Our research suggests that both extremes misunderstand the nature of current systems. The most immediate risks arise not because AI possesses human-like intentions, but because it can extend patterns of reasoning without reflective responsibility to the world. Systems can generate persuasive but ungrounded outputs, automate flawed decisions at scale, or execute harmful actions if embedded in poorly governed environments.

This helps explain why AI safety is increasingly shifting from model safety to system safety. In practice, organizations already rely on layered safeguards—what the industry increasingly calls “harnesses”—to constrain, validate, and monitor AI behavior. Rather than temporary patches, our paper argues that these mechanisms reflect something fundamental about AI architecture itself: trustworthy behavior emerges from the work of builders of AI systems responsible for their behavior, a responsibility that cannot be delegated to or shared with models.

This interpretation aligns closely with how enterprises increasingly approach trustworthy AI deployment. Organizations need systems that can extend human intelligence while remaining governable, auditable, and aligned with human oversight. Understanding AI as a derived form of intelligence clarifies why layered governance, evaluation, and operational controls matter so deeply.

PODCAST SERIES

The AI Revolution in Medicine, Revisited

Join Microsoft’s Peter Lee on a journey to discover how AI is impacting healthcare and what it means for the future of medicine.

Listen now Opens in a new tab

Looking ahead, we believe phenomenology offers more than a critique of AI—it offers a framework for understanding its promise. AI systems reveal something profound about human cognition itself: that meaning can be formalized, extended, and scaled in powerful new ways.  The central societal risk of AI thus turns out to be kicking away the ladder of its origins in human experience and cognition – misinterpreting AI as a rival intelligence that diminishes our humanity and thus, in turn, diminishes the true promise of AI itself. 

The question, then, is not whether AI will replace human intelligence. It is how we can responsibly build systems that extend human understanding while remaining grounded in the world from which that understanding arises. If we mistake AI systems for autonomous minds, we risk over-trusting them. If we dismiss them as trivial tricks, we risk overlooking one of the most important technological developments of our time. A more grounded interpretation recognizes both truths at once: AI is a genuine extension of human intelligence—and precisely because of that, humans remain responsible for how it is understood, governed, and used.

Opens in a new tab

The post Extending Human Intelligence Through AI appeared first on Microsoft Research.

At a glance

• Modern AI systems are powerful not because they replicate human intelligence, but because they presuppose it, by extending structures already present in human cognition and language.
• This perspective helps explain both AI’s remarkable capabilities and its recurring boundaries, including hallucinations and breakdowns in reasoning.
• This research argues that AI safety is a system-level challenge, shifting attention from “rogue AI” narratives toward harnessing engineering and governance.
• Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems.

AI systems today can write essays, generate code, summarize complex ideas, and carry on conversations with remarkable fluency. Yet those same systems still struggle with tasks humans find intuitive: reliably tracking objects through change, reasoning compositionally in unfamiliar situations, or distinguishing truth from plausible fiction. These contradictions have fueled polarized debates about AI. Some see current systems as early forms of human-like intelligence; others dismiss them as sophisticated autocomplete. 

In recent interdisciplinary work – including Adam Frank, Marcelo Gleiser, and Evan Thompson’s The Blind Spot (opens in new tab) and DeepMind researcher Alexander Lerchner’s The Abstraction Fallacy (opens in new tab) – a different picture is emerging. Rather than asking whether AI systems are becoming intelligent in the human sense, these approaches ask a more basic question: What if AI systems work because they rely on structures that are rooted in human cognition? This shift in perspective, which draws on the phenomenology of Edmund Husserl, helps make sense of both the capabilities and the limits of modern AI. 

In our recent paper, The Origins of Artificial Intelligence in Natural Intelligence, we argue that modern AI systems are best understood neither as human minds nor as trivial statistical tricks. Instead, they extend structures that originate in human cognition itself. Further drawing on the phenomenology of Husserl, the paper proposes that language already contains sedimented structures of human understanding —structures that AI systems learn to model and extend. This perspective helps explain both the capabilities and the boundaries of contemporary AI.  

Human perception is not simply passive reception of sensory data. We experience the world as stable things unfolding through change: a cup remains the same cup as we move around it; a melody remains recognizable even as individual notes pass away. Language emerges by expressing these stable structures in conceptual form. Words like “red,” “round,” or “larger than” articulate relationships that originate in lived experience. 

Large language models learn statistical relationships within this linguistic world. They capture how concepts tend to relate across enormous bodies of human writing. This explains why AI systems can produce coherent responses across many domains. But it also explains why they hallucinate. Humans remain answerable to the world: experience continually corrects our expectations and beliefs. AI systems, by contrast, extend patterns within text itself. They can continue a line of reasoning with remarkable fluency, but they lack the lived engagement with the world that anchors meaning and truth.

AI Extends Human Cognition 

This framework helps explain several recurring challenges in AI research. One is the “compositionality gap”—the tendency for language models to perform well on familiar reasoning patterns while failing when asked to combine concepts in genuinely novel ways. Research increasingly shows that larger models improve fluency and factual recall much faster than they improve true compositional reasoning. From our perspective, this is not simply an engineering limitation but a structural boundary: AI systems can extend patterns already sedimented in language, but they do not possess the world-directed understanding that allows humans to generate genuinely new conceptual relations. 

A similar pattern appears in multimodal systems that combine language and vision. These systems can often label images correctly while still failing at robust reasoning about objects and their parts. They learn correlations between visual patterns and language rather than perceiving stable objects unfolding through time in the way humans do. The result is systems that can appear impressively fluent while remaining surprisingly brittle outside familiar patterns. 

This perspective also reframes debates about AI safety. Public discussion often swings between fears of “rogue superintelligence” and claims that AI poses little meaningful risk. Our research suggests that both extremes misunderstand the nature of current systems. The most immediate risks arise not because AI possesses human-like intentions, but because it can extend patterns of reasoning without reflective responsibility to the world. Systems can generate persuasive but ungrounded outputs, automate flawed decisions at scale, or execute harmful actions if embedded in poorly governed environments.

This helps explain why AI safety is increasingly shifting from model safety to system safety. In practice, organizations already rely on layered safeguards—what the industry increasingly calls “harnesses”—to constrain, validate, and monitor AI behavior. Rather than temporary patches, our paper argues that these mechanisms reflect something fundamental about AI architecture itself: trustworthy behavior emerges from the work of builders of AI systems responsible for their behavior, a responsibility that cannot be delegated to or shared with models.

This interpretation aligns closely with how enterprises increasingly approach trustworthy AI deployment. Organizations need systems that can extend human intelligence while remaining governable, auditable, and aligned with human oversight. Understanding AI as a derived form of intelligence clarifies why layered governance, evaluation, and operational controls matter so deeply.

PODCAST SERIES

The AI Revolution in Medicine, Revisited

Join Microsoft’s Peter Lee on a journey to discover how AI is impacting healthcare and what it means for the future of medicine.

Listen now Opens in a new tab

Looking ahead, we believe phenomenology offers more than a critique of AI—it offers a framework for understanding its promise. AI systems reveal something profound about human cognition itself: that meaning can be formalized, extended, and scaled in powerful new ways.  The central societal risk of AI thus turns out to be kicking away the ladder of its origins in human experience and cognition – misinterpreting AI as a rival intelligence that diminishes our humanity and thus, in turn, diminishes the true promise of AI itself. 

The question, then, is not whether AI will replace human intelligence. It is how we can responsibly build systems that extend human understanding while remaining grounded in the world from which that understanding arises. If we mistake AI systems for autonomous minds, we risk over-trusting them. If we dismiss them as trivial tricks, we risk overlooking one of the most important technological developments of our time. A more grounded interpretation recognizes both truths at once: AI is a genuine extension of human intelligence—and precisely because of that, humans remain responsible for how it is understood, governed, and used.

Opens in a new tab

The post Extending Human Intelligence Through AI appeared first on Microsoft Research.

SAVE $500: As of May 27, the Mova LiDAX Ultra 2000 robot lawn mower is on sale for $1,299 at Amazon. That's nearly 30% off its list price of $1,799 and its lowest price on record.

Opens in a new window Credit: Mova Mova LiDAX Ultra 2000 robot lawn mower $1,299 at Amazon
$1,799 Save $500   Get Deal

Still pushing a heavy lawn mower through your yard? It may be time to consider a robot lawn mower. Similar to robot vacuums, these battery-powered, AI-boosted machines are a low-maintenance alternative to traditional gas mowers. Not to mention, they're better for the environment and can give you hours of your time back this summer. If you're ready to make the jump, the Mova LiDAX Ultra 2000 robot mower is a solid all-rounder and is on sale for $500 off.

As of May 27, the Mova LiDAX Ultra 2000 robot lawn mower is on sale for $1,299 at Amazon. That's nearly a 30% price drop from its $1,799 list price and marks its best price on record.

While most robot mowers are marketed towards specific types of lawns, the Ultra 2000 is designed to be an all-rounder. Of course, if you have an extremely complex, large, or hilly yard, you may want to adjust your expectations. It packs 360-degree 3D Lidar and AI vision to accurately auto-map your yard and cut with precision, while avoiding obstacles along the way. It also has UltraTrim, a precision-focused edge-trimming feature that cuts within two inches of walls, hedges, and raised edges. It can also handle 45% grade terrain and overcome obstacles up to 1.6 inches high.

Using the app, you can adjust the cutting height between 1.2 inches and 3.9 inches, set mowing zones and schedules, switch up the mowing style and efficiency, and even design custom mowing patterns for your lawn.

If lawn care is the bane of your existence and you have over $1,000 to put towards outsourcing it to a robot, the Mova LiDAX Ultra 2000 robot lawn mower is a solid deal at $500 off.

Are you looking for a new satisfying hobby to pick up? Let me introduce you to laser engraving. I've been laser engraving for many years, but there's never been a better time to pick up the hobby than now.

For years, most of us have treated Linux display scaling as one of those problems you learn to work around rather than solve. You buy a high-resolution monitor, set scaling to something reasonable like 125% or 150%, and then wait for the compromises to appear. One app looks sharp, another looks slightly smeared, and you can’t read text.

Stop us if you've heard this before: A popular tech brand is increasing the price of some of its products because of the ongoing RAM shortage. That's right, RAMageddon strikes again.

This time, the culprit is Samsung. Greek outlet TechManiacs (via Android Authority) reported that Samsung will increase the prices of flagship phones in Greece starting in June. These price hikes will apply to Galaxy S series phones, the Galaxy Z Flip and Z Fold 7 devices, and Galaxy FE handsets. All of those devices will see their prices go up by roughly the equivalent of $116 USD, but versions with higher storage capacities could see even bigger price increases.

SEE ALSO: Can Samsung and Gentle Monster finally make smart glasses cool?

While these price hikes are limited to the Greek market at this point in time, they could very well spill over to the rest of Europe and even the U.S. over time.

Samsung already applied slight price increases to the Galaxy S26 lineup in the U.S. earlier this year. Motorola recently hiked prices on some of its phones by 50 percent, and the new Motorola Razr Ultra arrived this month with a $200 price increase. With the next Galaxy Unpacked event scheduled for July, more Samsung price increases could be coming this summer.

The global shortage of memory (which is widely attributed to the high demand for RAM and memory components in AI data centers) has prompted several major tech companies, such as Lenovo, Nintendo, and Dell to raise prices on their products throughout this year, a trend that will likely continue into 2027.

So, if you want a flagship Samsung device, now might be the time to go grab one.

SAVE $312.90: The DJI Power 1000 V2 is on sale at Amazon for $386.10, down from the list price of $699 at DJI. That's a 45% discount.

Opens in a new window Credit: DJI DJI Power 1000 V2 $386.10 at Amazon
$699 Save $312.90   Get Deal

Sure, the calendar doesn't say it's summer, but we all know the unofficial start of summer was last weekend. That means it's time to dig out the camping gear, hope to get a campsite reservation, and take off for the great wilderness. Pack the bug spray. But instead of dealing with dead phone batteries this year, upgrade to a portable power station. There's a great model on sale today at Amazon.

As of May 27, the DJI Power 1000 V2 is on sale for $386.10 at Amazon, marked down from the normal price of $$386.10, marked down from the list price of $699 at DJI. That's a 45% discount.

I've tested dozens of portable power stations over the last few years, and it's clear that DJI is making great models for content creators. The SDC port is unique to DJI and means those with DJI drones can quick-charge drone batteries, getting them back into the air with less time on the ground recharging.

SEE ALSO: Memorial Day sales are over but the DJI Mic Mini is still sitting at a record-low price

However, if you're not out flying drones, the DJI Power 1000 V2 is still a noteworthy option. That's especially true since today's sale price brings the station down to under $400. By comparison, the Anker Solix C1000 is on sale at Amazon for $449.99 and the Jackery Explorer 1000 V2 is $449. Both of those have similar battery capacity to the Power 1000 V2.

The DJI Power 1000 V2 comes with 1,024Wh of battery with a stable output rated at 2,600W. It has four standard AC ports, two USB-A, and two USB-C ports, in addition to dual SDC. I also found the station to be relatively easy to carry thanks to the side handles.

If you're a content creator needing extra off-grid power or you're taking the family camping this summer, consider this low price on the DJI Power 1000 V2. Order it soon and it might even arrive before your next adventure.

Samsung Galaxy Watches offer a wide array of options that put them a rung above other Wear OS devices. The only bad thing about this is that you might be missing some of the best features that aren’t enabled by default. This is especially true when it comes to notifications.

SAVE $50: As of May 27, get the Anker Solix C1000 power station for $449.99 at Amazon, down from its usual price of $499.99. That's a discount of 10%.

Opens in a new window Credit: Amazon Anker Solix C1000 power station $449.99 at Amazon
$499.99 Save $50   Get Deal

The summer heat is finally starting to roll in, and that means storms, for many, aren't far behind. If you live somewhere that often finds you losing power when they hit, you might want to pick up a power station to avoid these issues now that it's the season for sizzling temperatures and unpredictable weather. One reliable option you can go for is up for grabs at Amazon at a significant discount right now.

As of May 27, get the Anker Solix C1000 power station for $449.99 at Amazon, down from its usual price of $499.99. That's $50 off and a discount of 10%.

SEE ALSO: Portable power stations explained

This portable power station offers up to 2,400W of output and has 11 ports that you can hook up multiple appliances and other devices into. You can use the accompanying Anker app to alter charging speeds and monitor how much power the unit is using as well. You've got full control that way, so you can cover all the important items you need to juice back up to 100%.

The power station itself is lightweight and portable as well. Anker says it's 15% smaller than other comparable models as well, so if you aren't primarily using it at home, it's easy to transport back and forth. When the battery's depleted, you can charge it up back to about 80% in under an hour as well. With a LiFePO4 battery that offers about 3,000 cycles' worth of capacity, it'll last about 10 years.

Be ready for the storms and power outages you might face this season and grab this power station while it's discounted.

YouTube is doing more to fight the wave of AI slop on the streaming video service. The Google brand says it's using "new internal signals" to automatically label photorealistic AI and theoretically discourage abuse of the technology.

SAVE 27%: As of May 27, you can get the Bluetti Elite 30 V2 for $218.98 at Amazon, down from $299. That's a 27% discount or $80.02 savings.

Bluetti Elite 30 V2 $218.98 at Amazon
$299 Save $80.02   Get Deal at Amazon

If your neighborhood is prone to randomly losing power the second a summer thunderstorm rolls through (or you just really like camping but aren't ready to totally say goodbye to your electronics for the weekend), a portable power station could be the best purchase you make this season.

Right now, the Bluetti Elite 30 V2 is on sale at Amazon for $218.98, down from $299. That's a 27% discount and about $80 and some change in savings. It's also a pretty reasonable price if you want emergency backup power but don't want to drop a grand on a gigantic generator.

SEE ALSO: The DJI Power 1000 Mini portable power station just launched — U.S. availability is pending

Although this unit is on the smaller side, it delivers 600W of continuous power and features a "Power Lifting Mode" that surges up to 1500W for more demanding electronics (e.g., camping lights, car fridges, CPAP machines). If the power cuts out suddenly at home, it has a 10ms ultra-fast UPS switch to keep your Wi-Fi router or laptop from dying mid-task. Plus, when you need to recharge the unit itself, plugging it into the wall gets you from zero to 100 percent in just 70 minutes.

Environmental activist Erin Brockovich has set her sights on a new target: AI data centers.

The activist and consumer advocate has just recently launched the Brockovich AI Data Center Reporting website, which tracks AI data centers being built across the country. The project maps quite a few data centers that are already in operation and under construction. Users can submit AI data centers that are being built or proposed in their community as well.

"The RACE to build AI infrastructures is unfolding town by town across America," reads a statement by Brockovich on the website. "In some places, data centers are welcomed. In others, they are delayed, contested or abandoned altogether. This MAP captures the real-world footprint of that race — revealing patterns of growth, conflict and uncertainty."

Data center construction has become a flashpoint in state and local politics, with some communities organizing to stop new construction. Environmental groups and the NAACP have also joined the fight.

Brockovich taking on AI data centers is significant.

In the 90s, while working as a legal clerk, Brockovich discovered major corporate malfeasance from Pacific Gas & Electric (PG&E). Brockovich uncovered that the company was covering up the contamination of the water in Hinkley, California. The legal battle that ensued resulted in PG&E paying out a historic $333 million settlement, which at the time was the largest direct-action lawsuit settlement in U.S. history.

Brockovich's story was turned into a movie, titled Erin Brockovich, with Julia Roberts portraying the activist. The film, which was released in 2000, was both a commercial and critical success. Roberts would go on to win an Oscar for her portrayal of Brockovich.

The current map detailing AI data center locations. Credit: Brockovich AI Data Center Reporting

The Brockovich AI Data Center Reporting website currently lists 33 operational data centers, 44 locations under construction, and 27 proposed facilities. There are also 2,716 data center locations submitted by users across the country.

The vast majority of AI data center reports are in Texas, with 612 reports. Sulfur Springs, TX, alone has 297 data center reports.

Users who submitted reports shared that the biggest concerns regarding AI data centers in their city involved water, electricity, and the overall health of the people in their community. 

According to the Environmental and Energy Study Institute, large AI data centers can consume as much as 5 million gallons of water per day, or the equivalent of what a town with 10,000 to 50,000 people uses. Another report from the UK found that AI data centers "could emit nearly one million more tons of carbon dioxide into the atmosphere than previously estimated."

The website also provides interesting events on its Community Impact page, showing how people can actually make a difference. According to the Brockovich AI Data Center Reporting website, more than 15 moratoria or pauses on AI data centers have been passed due to community backlash. In Festus, MO, four city council members were removed from office after an AI data center vote.

DNS is one of those things where many people aren't aware that it is something you can adjust. Those who are, may end up overdoing it in the other direction. Tweaking custom DNS settings across every phone, laptop, console, TV, and whatever else lives inside your house may sound tempting if you belong in that second camp, but hold up a second.

SAVE 40%: As of May 27, you can get the Samsung 98-inch Class Neo QLED 4K Smart TV for $8,997.99 at Amazon, down from $14,997.99. That's a 40% discount or $6,000 savings.

Samsung 98-inch Class Neo QLED 4K Smart TV $8,997.99 at Amazon
$14,997.99 Save $6,000   Get Deal at Amazon Get Deal at Best Buy

If you've been looking for a TV that'll impress your guests and do your favorite films the justice they deserve (or you just want a screen that takes up your entire wall), the Samsung 98-Inch Class Neo QLED 4K QN90F Smart TV (2025) is on sale for its best price yet.

As of May 27, you can get the Samsung 98-inch Class Neo QLED 4K Smart TV for $8,997.99 at Amazon, down from $14,997.99. Yes, $9K is still an astronomical amount of money to spend on a TV, but that's a 40% discount — or $6,000 in savings.

SEE ALSO: Most of the best Memorial Day sales are still live: We found the top discounts on TVs, mattresses, MacBooks, and Ninja appliances

The 2025 QN90F runs on Samsung's NQ4 AI Gen2 processor, which uses 128 neural networks to automatically upscale older, non-4K content. (So you can watch the goodies like The Golden Girls, The Nanny, and whatever other nostalgic TV shows you like in HD.) The screen also has a glare-free coating designed to block out reflections from nearby windows and lamps.

And if you plan to hook up a console, the TV has you covered there, too. It supports tear-free VRR gaming at up to 4K 165Hz.

Smart video doorbells are one of the best examples of a dumb device that has been improved enormously by adding smart features. You can use one to see who is at the door even if you're on the other side of the world, you can talk to visitors through the doorbell, and you can get notifications when someone is detected on the doorbell's camera.

SAVE $20: The DJI Mic Mini (2 transceivers, one receiver) is on sale at Amazon for $79, down from $99. That's a 20% discount that matches the record low price at Amazon.

Opens in a new window Credit: DJI DJI Mic Mini (2 transceivers, 1 receiver) $79 at Amazon
$99 Save $20   Get Deal

The calendar for summer content creation is getting full. If you've been managing with recording audio on your phone, it might be time for an upgrade. Before you start your next recording session, check out this deal.

As of May 27, the DJI Mic Mini (2 transmitters, one receiver) is on sale at Amazon for $79, marked down from the standard price of $99. That's a 20% discount that saves $20 on the recording bundle. This sale price also matches the record low at Amazon.

Spend just a few minutes on YouTube, TikTok, or even Instagram, and you'll spot the DJI Mic Mini. It looks like almost every creator is using the DJI Mic Mini, and there's good reason. Mashable Lead Shopping Reporter Bethany Allard reviewed the DJI Mic Mini and mentioned it's one of the best upgrades a content creator can buy.

When testing near a busy street on a windy day, Allard found the Mic Mini to have impressive performance. "With and without the noise-cancelling feature, the mic picked up my voice while barely picking up the sound of wind — birds and car engines were lost in many cases," she wrote. Mashable also used the DJI during VidCon when conducting interviews in a loud setting. The DJI had no issues recording crisp and clear audio.

SEE ALSO: We found Sony XM6 headphones at a new all-time low price at Amazon — save over $60

For today's sale price of $79, you get an entire mic bundle that includes one DJI receiver, two transmitters, the DJI Mic Mini charging case, four windscreens, two magnetic mic clips, a carrying pouch, and more.

If you have content creation plans this summer and need a mic upgrade, consider the record-low price on the DJI Mic Mini. For under $80, you'll be able to upgrade to an industry favorite that excels in performance and ease of use.