I never liked playing darts, but I did a complete 180 with this auto-scoring system. This gadget has ignited my newfound love of the old pub favorite. It’s a light ring with four hi-def cameras that slots onto your board. Connect with the DartCounter app via Wi-Fi and you get effortless automatic scoring with an announcer calling your points and telling you what you need to check out.
I’ve been testing the Target Darts Omni Auto Scoring System for the last few weeks, playing locally on my own and with family, and playing the odd match online. It’s a pricey system, but for darts fans and players looking to improve their game, it could be worth the investment. As a casual fan, I’ve found that a wee game of darts is a great way to unwind at the end of your day.
Stepping Up to the Oche
Target Darts
Omni Auto Scoring System
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The Target Darts Omni Auto Scoring System pairs with the DartCounter app (Android or iOS). It’s quick and easy to put together, attaching to your board via magnetic legs, but you will need to run the power cable to an outlet. Connect to Wi-Fi, run a short calibration, and it’s time to play. I tested with Target’s Star Wars Millennium Falcon Surround and Dartboard ($200 or £150) and a set of Darth Vader Darts ($340 or £250)—both amazing Star Wars gifts for the fan in your life—but it should work with most boards and any darts.
The LED ring lights up the dartboard beautifully. The four HD cameras accurately record the score for each dart thrown. The DartCounter app compiles comprehensive statistics on your play. You can configure all the match parameters in the app for a tailor-made session, and there are also multiple practice modes and games, such as Around the Clock, where you have to hit each number in sequence and then the bull’s-eye, and Bob’s 27, where you start with 27 points and have to hit the doubles shown.
Online multiplayer is perhaps the biggest selling point, and you can find matches or create your own lobby in the DartCounter app. I never had any trouble finding a match, and there were well over 100 live matches in progress every time I checked. You get three free online matches every week. To unlock all the features, including tournaments, unlimited online games, more detailed stats, and the Master Caller using your name, you must subscribe for $6 a month or $40 a year (£6 and £40 in the UK). You get a three-month free trial with the system. Local play is free, with the exception of a couple of games (121 Checkout and Halve It), so you don’t need to subscribe.
I’ve played loads of games over the past few weeks, but I had the most fun playing a tournament with my brother. We had a dartboard in the garage when I was a teen and spent hours throwing darts, but neither of us had played in years. After much hilarity at how inept we had become and plenty of reminiscing, we both got our eye in, and things became competitive. I won the best-of-five classic 501 matches, but then my brother beat me at Around the Clock (I got stuck on the bull’s-eye).
On Friday, New York State Senators Liz Krueger and Kristen Gonzales introduced a bill that would stop the issuance of permits for new data centers for at least three years and ninety days to give time for impact assessments and to update regulations. The bill would require the Department of Environmental Conservation and Public Service Commissions to issue impact statements and reports during the pause, along with any new orders or regulations that they deem necessary to minimize data centers’ impacts on the environment and consumers in New York.
The bill would require these departments to study data centers’ water, electricity and gas usage, and their impact on the rates of these resources, among other things. The bill, citing a Bloomberg analysis, notes that, “Nationally, household electricity rates increased 13 percent in 2025, largely driven by the development of data centers.” New York is the sixth state this year to introduce a bill aiming to put the brakes on data centers, following in the footsteps of Georgia, Maryland, Oklahoma, Vermont and Virginia, according to Wired. It’s still very much in the early stages, and is now with the Senate Environmental Conservation Committee for consideration.
Most enterprise work now happens in the browser. SaaS applications, identity providers, admin consoles, and AI tools have made it the primary interface for accessing data and getting work done.
Yet the browser remains peripheral to most security architectures. Detection and investigation still focus on endpoints, networks, and email, layers that sit around the browser, not inside it.
The result is a growing disconnect. When employee-facing threats occur, security teams often struggle to answer a basic question: what actually happens in the browser?
That gap defines an entire class of modern attacks.
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At Keep Aware, we’ve called this a “safe haven” problem for attackers, where the target has now become this central point of failure
Browser Attacks Seen in 2026 Leaving Little Traditional Evidence
What makes browser-only attacks hard to deal with isn’t a single technique. It’s that multiple attack types all collapse into the same visibility gap. We continue to see these attacks into 2026:
Common browser-based attack types
ClickFix and UI-Driven Social Engineering
Possibly the largest browser-driven attack vector in 2025, users are guided by fake browser messages or prompts to copy, paste, or submit sensitive information themselves. No payload is delivered, no exploit fires, just normal user actions that leave almost no investigation trail.
Malicious Extensions
Seemingly legitimate extensions are installed intentionally and then quietly observe page content, intercept form input, or exfiltrate data. From an endpoint or network perspective, everything appears to be normal browser behavior. When questions arise later, there’s little record of what the extension actually did.
Man-in-the-Browser (and AitB, BitB, …) Attacks
These attacks abuse valid browser sessions rather than exploiting systems. Credentials are entered correctly, MFA is approved, and activity appears authorized. Logs confirm a real user and a real session, but not whether the browser interaction was manipulated or replayed.
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HTML Smuggling
Malicious content is assembled directly inside the browser using JavaScript, bypassing traditional download and inspection points. The browser renders content as expected, while the most critical steps never become first-class security events.
Why EDR, Email, and SASE Miss These Attacks by Design
This isn’t a failure of tools or teams. It’s a consequence of what these systems were designed to see, and what they were not.
EDR focuses on processes, files, and memory on the endpoint. Email security tracks delivery, links, and attachments. SASE and proxy technologies enforce policy on traffic moving across the network. Each can block known bad activity, but none are built to understand user interaction inside the browser itself.
When the browser becomes the execution environment, where users click, paste, upload, and authorize, both prevention and detection lose context. Actions may be allowed or denied, but without visibility into what actually happened, controls become blunt and investigations incomplete.
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When browser interactions are visible, prevention becomes precise and defensible.
See how Keep Aware allows teams to use browser-level data to block risky behavior and continuously refine policy.
What stood out wasn’t a lack of controls; it was a lack of observable behavior that those controls could learn from.
Browser Directory on Own the Browser
Across consumer, enterprise, and emerging AI-native browsers, policies are widely deployed. What’s missing is structured visibility into how those policies actually play out in real user behavior. Without that insight, prevention stays blunt, and policies rarely evolve or improve.
AI Tools and AI-Native Browsers Are Widening the Gap
AI is accelerating this problem by increasing both the volume and subtlety of browser-based data movement.
Tools like ChatGPT, Claude, and Gemini normalize copying, pasting, uploading, and summarizing sensitive information directly in the browser. AI-native browsers, built-in assistants, and extensions streamline these actions even further.
From a control standpoint, much of this activity appears legitimate. From a prevention standpoint, it’s difficult to evaluate risk without context.
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Policies can allow or block actions, but without observability into how data is being used, teams can’t adapt controls to match reality.
As AI-driven workflows become routine, prevention that isn’t informed by browser-level behavior quickly falls behind.
What Browser-Level Observability Changes: Before and After Incidents
When browser activity becomes observable, security teams don’t just investigate better; they prevent more effectively.
Seeing how data actually moves through the browser allows teams to set smarter, more targeted controls: preventing risky actions at the moment they occur, while preserving evidence when something does go wrong.
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Detection improves because behavior can be evaluated in context. Response improves because incidents are reconstructable. Policies improve because they’re informed by real usage, not assumptions.
This creates a feedback loop: observability informs prevention, prevention reduces risk, and every incident, blocked, paused, or allowed, sharpens policy over time.
That leads to a simple question: if this class of attack happened in your environment today, could you both prevent it and explain it? If not, that’s the gap Keep Aware is built to close. See what browser-level visibility enables across prevention and response.
Boerner, a computer engineer turned cybersecurity practitioner, began as a SOC analyst tackling network threats across Texas agencies. Specializing in network and email security, he later honed his expertise at IBM and Darktrace, working with organizations of all sizes. Seeing a critical gap between security teams and employees—where strong defenses still let threats through—he founded Keep Aware to make the browser a cornerstone of enterprise security.
Waymo’s chief safety officer, Mauricio Peña, recently noted that when the company’s robotaxis encounter unusual situations, they may switch control to the remote drivers. While some of the contractors work in the US, many operate from other countries, such as the Philippines. Read Entire Article Source link
This project takes regular door sensors and amps them up a few notches, providing a brilliant way to keep your smart house smart without having a single gadget attached to the frame. Dillan Stock of The Stock Pot got his hands on those cheap Aqara T1 touch sensors and decided to rebuild their housings from scratch, effectively stuffing everything inside the door and frame.
Aqara T1s already have some fantastic specs: they run on Zigbee, have a long battery life from a single CR2 battery, and cost $8 apiece when purchased in bulk. Not awful at all, but the issue arises when you consider how they look, as people just do not want to overload every door with these things. Stock discovered that by stripping the sensor down to its bare circuit board, which contained the reed switch and battery, and then creating a new enclosure for that board, he could make it all disappear.
A SMART START! Everything you need to get started: one YoLink Hub and four Door Sensors. Batteries are included and preinstalled, good for up to 5…
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THAT WAS EASY! Installs in moments: scan the sensor’s QR code, give it a name, peel off the pre-applied 3M brand mounting tape protective plastic,…
Reed switches do the detecting because they work with a tiny bit of glass and metal; if there is no magnetic field, the two metal bits stay apart and the circuit remains open; however, if a magnet is nearby, it snaps those bits together, closing the circuit and informing you of the status of the door. In this design, the reed switch is hidden inside the door, while the magnet is located just above the door frame on the opposite side. The door closes, the magnet aligns perfectly, and the switch activates. When the door opens, the magnet no longer aligns, and the system immediately begins the change process.
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To get things started, Stock was inspired by the Aeotec Recessed Door Sensor 7, but he had to avoid it due to its high cost and dependability difficulties. So he measured the Aqara board after he disassembled it, turned it 90 degrees to fit in the available area, and created a 3D model in Fusion 360. He designed a tubular shape that fits into a hole he drills in the door, as well as a separate cap and little bit for the magnet to sit in.
Printing takes place on a standard 3D printer, and the files are free to use on Printables, or you may download your own enclosures from Stock’s website if you don’t want to make them yourself. Once printed, there are only a few pieces to assemble, usually an M2 screw to fasten the cap and several small wood screws to hold the unit in place within the door hole once it’s all put together.
To ensure proper alignment, begin by marking the center point on the top of the door, preferably a reasonable distance away from the hinges. Grab a 20- or 21-mm spade drill bit and drill a hole around 35 to 40 mm deep; the same bit will work for the frame, but only go 20 mm deep. The downloadable files include a centering tool that will help you get everything perfectly aligned. Pop the magnet enclosure into the frame hole; it should fit tightly, but a dab of glue can help set it in place if necessary. Next, slip the sensor body into the door hole, screw it in, and insert the battery. Don’t worry about the bind button getting in the way; there’s enough space for a pin tool to get in there and do its thing when it’s time to couple up with a Zigbee hub.
Once you’ve completed the setup, the sensors will begin relaying information about your doors to your smart home system. Open the patio door, and the lights turn on. As you enter the children’s bedroom, the lamps will dim gradually. Every door in the house is monitored, without having to change the appearance of any of the rooms. Plus, the battery life is amazing, lasting a year or more depending on how much traffic your doors see. Best of all, the entire setup will be significantly less expensive than any of the commercial recessed systems you’re used to seeing, and you won’t have to worry with the connectivity dropouts that caused so much trouble in Stock’s previous Aeotec efforts. [Source]
Publishing a website is still more complicated than it has any right to be, but the best website builders streamline the process. Instead of juggling a bunch of files on a server and learning the ins and outs of networking, website builders do exactly what’s written on the tin. Piece by piece, using a drag-and-drop interface, you can design your website the way you want with immediate feedback rather than spending time buried in code and hoping it comes out on the other end.
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There are dozens of website builders, and most of them range from decent to straight-up bad. Any web host with a bit of ambition has a website builder floating around, even if it’s slow, clunky, and lacking features. I focused on finding the best tools for building your website that go beyond just an add-on, and these are my favorites. If you’re after something simpler than a full-blown website, check out our list of the Best Portfolio Websites.
Updated February 2026: We’ve added details on new AI features in existing picks like Squarespace and Wix, and also added Webflow, Framer, GoDaddy, Shopify, and WordPress.
Table of Contents
Best Website Builder for Most
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Squarespace via Jacob Roach
You’ve heard of Squarespace over and over again, I’m sure, and that’s not an accident. It’s an inviting website builder that made a name for itself with bold, striking templates. Beneath the veneer of attractive, but seemingly simple, websites, you’ll find one of the most capable website builders on the market. That balance of power and usability is what sets Squarespace apart.
It feels like a creative tool. Where other website builders lag and stutter to get a new element on your page, Squarespace feels fluid. Your dashboard gives you quick access to edit your site, and around every corner, Squarespace feels designed so you never have to look up a tutorial. I started a simple photography website, and within an hour, I had a custom course page set up, an appointment schedule with automated confirmation emails, and services (with pricing and the ability to accept payments) configured.
Like many companies, Squarespace recently took a dive into AI with several new features, including Blueprint, an AI website design tool, and Squarespace GPT, which allows website design through an AI chat interface. These tools are arguably over-ambitious, as it’s possible to generate designs, images, and video backgrounds, which can leave you with a website detached from reality. Still, these tools can be useful if you have a vague idea of what you want but no idea how to implement it.
Squarespace isn’t cheap, but it also doesn’t meddle in restrictive, low-cost plans. Even on the Basic plan, you have access to ecommerce tools, AI design aids, and space for multiple contributors.
Sometimes you have this project idea in your mind that seems so simple and straightforward, and which feels just so right that you have to roll with it. Then, years later you stumble across the sad remnants of the tearful saga and the dismal failure that it portrays. Do you put it away again, like an unpleasant memory, or write it up in an article, as a tearful confession of past sins? After some coaxing by a friend, [Alessandro] worked up the courage to detail how he set about making a hardware-only password keeper, and why it failed.
The idea was so simple: the device would pretend to be a keyboard and type the passwords for you. This is not that unusual, as hardware devices like the Mooltipass do something similar. Even better, it’d be constructed only out of parts lying around, including an ATtiny85 and an HD44780 display, with bit-banged USB connectivity.
Prototyping the hardware on a breadboard.
Overcoming the challenge of driving the LC display with one pin on the MCU required adding a 74HC595 demultiplexer and careful timing, which sort of worked when the stars aligned just right. Good enough, but what about adding new passwords?
This is where things quickly skidded off the tracks in the most slapstick way possible, as [Alessandro] solved the problem of USB keyboard HID devices being technically ‘output-only’, by abusing the indicator statuses for Caps Lock, Num Lock, and Scroll Lock. By driving these from the host PC in just the right way you can use them as a sort of serial protocol. This incidentally turned out to be the most reliable part of the project.
Where the project finally tripped and fell down the proverbial flight of stairs was when it came to making the bit-banged USB work reliably. As it turns out, USB is very unforgiving with its timing unlike PS/2, making for an infuriating user experience. After tossing the prototype hardware into a box, this is where the project gathered dust for the past years.
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If you want to give it a try yourself, maybe using an MCU that has more GPIO and perhaps even a USB hardware peripheral like the STM32F103, ESP32-S3 or something fruit-flavored, you can take a gander at the project files in the GitHub repository.
Despite urgent pleas to Americans to save the honeybees, “it was all based on a fallacy,” writes Washington Post columnist Dana Milbank. “Honeybees were never in existential trouble. And well-meaning efforts to boost their numbers have accelerated the decline of native bees that actually are.”
“Suppose I were to say to you, ‘I’m really worried about bird decline, so I’ve decided to take up keeping chickens.’ You’d think I was a bit of an idiot,” British bee scientist Dave Goulson said in a video last year. But beekeeping, he went on, is “exactly the same with one key difference, which is that honeybee-keeping can be actively harmful to wild-bee conservation.” Even from healthy hives, diseases flow “out into wild pollinator populations.”
Honeybees can also outcompete native bees for pollen and nectar, Milbank points out, and promote non-native plants “at the expense of the native plants on which native bees thrive.”
Bee specialist T’ai Roulston at the University of Virginia’s Blandy Experimental Farm here in Boyce warned that keeping honeybees would “just contribute to the difficulties that native bees are having in the world.” And the Clifton Institute’s Bert Harris, my regular restoration ecology consultant in Virginia, put it bluntly: “If you want to save the bees, don’t keep honeybees….”
Before I stir up a hornet’s nest of angry beekeepers, let me be clear: The save-the-pollinator movement has, overall, been enormously beneficial over the past two decades. It helped to get millions of people interested in pollinator gardens and wildflower meadows and native plants, and turned them against insecticides. A lot of honeybee advocacy groups promote native bees, too, and many people whose environmental awakening came from the plight of honeybees are now champions of all types of conservation…
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But if your goal is to help pollinators, then the solution is simple: Don’t keep honeybees… The bumblebees, sweat bees, mason bees, miner bees, leafcutters and other native bees, most of them solitary, ground-nesting and docile, need your help. Honeybees do not. The article calls it “a cautionary tale about the unintended consequences that emerge when we intervene in nature, even with the best of intentions.”
Has the rise of hyper-addictive digital technologies really shattered our attention spans and driven books out of our culture? Maybe not, argues social psychologist Adam Mastroianni (author of the Substack Experimental History):
As a psychologist, I used to study claims like these for a living, so I know that the mind is primed to believe narratives of decline. We have a much lower standard of evidence for “bad thing go up” than we do for “bad thing go down.” Unsurprisingly, then, stories about the end of reading tend to leave out some inconvenient data points. For example, book sales were higher in 2025 than they were in 2019, and only a bit below their high point in the pandemic. Independent bookstores are booming, not busting; at least 422 new indie shops opened in the United States last year alone. Even Barnes & Noble is cool again.
The actual data on reading, meanwhile, isn’t as apocalyptic as the headlines imply. Gallup surveys suggest that some mega-readers (11+ books per year) have become moderate readers (1-5 books per year), but they don’t find any other major trends over the past three decades. Other surveys document similarly moderate declines. For instance, data from the National Endowment for the Arts finds a slight decrease in the percentage of U.S. adults who read any book in 2022 (49%) compared to 2012 (55%). And the American Time Use Survey shows a dip in reading time from 2003 to 2023. Ultimately, the plausibility of the “death of reading” thesis depends on two judgment calls. First, do these effects strike you as big or small…? The second judgment call: Do you expect these trends to continue, plateau, or even reverse…?
There are signs that the digital invasion of our attention is beginning to stall. We seem to have passed peak social media — time spent on the apps has started to slide. App developers are finding it harder and harder to squeeze more attention out of our eyeballs, and it turns out that having your eyeballs squeezed hurts, so people aren’t sticking around for it… Fact #2: Reading has already survived several major incursions, which suggests it’s more appealing than we thought. Radio, TV, dial-up, Wi-Fi, TikTok — none of it has been enough to snuff out the human desire to point our pupils at words on paper… It is remarkable, even miraculous, that people who possess the most addictive devices ever invented will occasionally choose to turn those devices off and pick up a book instead.
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The authors mocks the “death of reading” hypothesis for implying that all the world’s avid readers “were just filling time with great works of literature until TikTok came along.”
The U.S. Cybersecurity and Infrastructure Security Agency (CISA) is warning that ransomware actors are exploiting CVE-2026-24423, a critical vulnerability in SmarterMail that allows remote code execution without authentication.
SmarterMail is a self-hosted, Windows-based email server and collaboration platform from SmarterTools. The product provides SMTP/IMAP/POP mail services along with webmail, calendars, contacts, and basic groupware functionality.
It is commonly deployed by managed service providers (MSPs), small and medium-sized businesses, and hosting companies offering email services. According to SmarterTools, its products are used by roughly 15 million users across 120 countries.
The CVE-2026-24423 flaw affects SmarterTools SmarterMail versions prior to build 9511, and successful exploitation can lead to remote code execution (RCE) via the ConnectToHub API.
The vulnerability was discovered and disclosed responsibly to SmarterTools by security researchers at watchTowr, CODE WHITE, and VulnCheck cybersecurity companies.
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The vendor fixed the flaw on January 15 in SmarterMail Build 9511.
CISA has now added the vulnerability to its Known Exploited Vulnerabilities (KEV) catalog and marked it as actively exploited in ransomware campaigns.
“SmarterTools SmarterMail contains a missing authentication for a critical function vulnerability in the ConnectToHub API method,” the government agency warns.
“This could allow the attacker to point the SmarterMail instance to a malicious HTTP server that serves the malicious OS command and could lead to command execution.”
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CISA has given federal agencies and entities with obligations under BOD 22-01 guidance to either apply the security updates and vendor-suggested mitigations or stop using the product by February 26, 2026.
Around the same time that SmarterTools patched CVE-2026-24423, watchTowr researchers discovered another authentication bypass flaw, internally tracked as WT-2026-0001.
The flaw, which has no identification number, permits resetting the administrator password without any verification and has been exploited by hackers shortly after the vendor released a patch.
The researchers base this on anonymous tips, specific calls in the logs of compromised systems, and endpoints that exactly match the vulnerable code path.
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Since then, SmarterMail has fixed additional security flaws rated “critical,” so it is recommended that system administrators update to the most recent build, currently 9526, released on January 30.
Modern IT infrastructure moves faster than manual workflows can handle.
In this new Tines guide, learn how your team can reduce hidden manual delays, improve reliability through automated response, and build and scale intelligent workflows on top of tools you already use.
Manual reporting can be replaced entirely using Nvidia GB10 and structured AI workflows
Automation reduces reliance on additional staff while maintaining consistent reporting accuracy
Sequential workflows simplify testing and troubleshooting before scaling enterprise-level automation
Many organizations rely on employees to manually collect, organize, and report performance metrics from multiple digital platforms.
A recent Serve The Home (STH) review replaced part of this manual reporting process using local AI systems built around Nvidia GB10 hardware.
The work involved repetitive requests received through long, unstructured emails, often asking for metrics across multiple sources and specific date ranges.
Reducing the need for additional staff
Instead of hiring additional staff to manage this growing volume, STH focused on designing an automated reporting pipeline that could handle these tasks reliably.
The automation followed a structured flow to collect and aggregate data from all relevant platforms.
Pre-built integrations within n8n reduced setup time by connecting directly to analytics systems without requiring custom code.
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Planning each step ensured time limits, filters, and query details were applied consistently.
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Although the workflow ran sequentially, this approach simplified testing and troubleshooting during initial implementation, allowing the reviewer to verify results before scaling.
To validate the system, the review used approximately 1,000 historical requests from 2015 to 2025 with known results.
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Different AI models were compared, including gpt-oss-20b FP8 and gpt-oss-120b FP8, to assess step accuracy.
Initial tests showed smaller models performed well on simple requests, but errors emerged as complexity increased.
Because workflows required multiple model calls per request, even small inaccuracies compounded, lowering overall reliability.
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Larger models improved per-step accuracy to over 99.9%, reducing workflow errors from weekly occurrences to rare annual events.
Two Dell Pro Max systems with GB10 units ran AI locally, keeping all data on premises.
The reviewer calculated that the automation replaced the need for a dedicated reporting role, with hardware costs covered within twelve months.
AI tools handled both internal and external reporting requests, including article views, video engagement, and newsletter metrics, without requiring human intervention.
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The process allowed the system to redirect resources to other functions, such as hiring a managing editor, while maintaining consistent reporting quality.
Automating reporting with AI systems shows how manual metric retrieval and consolidation tasks can be removed from human workflows.
This means roles that primarily focus on gathering, cleaning, and summarizing performance data are especially vulnerable once reliable automation exists.
Although the review shows clear efficiency gains, its success depends on model accuracy, workflow design, and maintaining control over sensitive data.
