If Mac game developers miss these settings, their brand new game for Apple Silicon will be listed as unplayable on anything after macOS 10.15 Catalina. Here’s how to tell Steam that your game is compatible, and where the flags are.
Steam’s macOS Catalina warning
Valve Software’s gaming storefront, Steam, is the biggest of its kind when it comes to PC and Mac gaming. It is essential for any game developer targeting those platforms to put a build on Steam, due to the sheer size of its audience. However, while Steam is relatively simple for gamers to use, the back-end is considerably more complex. For a developer starting out, there are many things that can be missed when putting their game onto Steam for the first time. Continue Reading on AppleInsider | Discuss on our Forums
Buried deep insideeverything announced at WWDC this year was something I, an Apple Shortcuts enthusiast, can’t wait to try: the ability to make Apple Shortcuts using generative artificial intelligence. In macOS 27, you’ll be able to just type what you want a shortcut to do, and the app will build it.
Anyone who builds shortcuts regularly knows the process of doing so can be tedious, even if the end results save you a lot of time. So I’m excited about the idea of describing what you want in plain language and ending up with a working shortcut. Even if it doesn’t work perfectly (let’s face it, AI-built things rarely do), it’s a starting point that you can tweak to meet your needs.
The only downside: This feature doesn’t launch until autumn, when version 27 of Apple’s operating systems come out.
To get started you first need to install the Shortcuts Playground agent; there are instructions on GitHub. Basically you will need to copy and paste a command into the Terminal. (I am not going to include the command here in case it changes.)
I tested this in Claude Code, but the tool works the same way in Codex. Once you’ve installed Shortcuts Playground you can trigger it by typing / followed by “shortcuts.” You’ll see a list of options pop up:
The different options for using the agent.
Courtesy of Justin Pot
If you’re starting from scratch, I recommend using the shortcuts-playground:build option, followed by a rough description of what you want the shortcut to do. (The other option, shortcuts-playground:remix, is for making changes to existing shortcuts.)
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The agent will get to work building a shortcut for you. Sometimes it will stop to ask you for more information, or to explain what is and isn’t possible to build in Apple Shortcuts.
While exploring this tool, I asked for a shortcut that compiled today’s weather, my calendar appointments, and my to-do list for the day, then read the entire thing out loud. The agent happily went to work.
A cheaper, lighter camera for indoors, the Arlo Essential 3 2K Indoor Security Camera might have a lower price than the rest of the range, but it has the same core features. That includes excellent object detection options, a brilliant app and high-quality 2K footage. With its clever privacy shield this is a top indoor camera, provided you don’t mind paying the relatively high subscription costs.
Good value
Clever privacy shield
Excellent footage
Powerful object detection via a subscription
Subscriptions are expensive
Key Features
Introduction
As good as the Arlo system is, fitting one of the weatherproof, battery-powered cameras seems a bit overkill. The Arlo Essential 3 2K Indoor Security Camera redresses the balance: the same core features, but in a cheaper body that needs to be permanently wired, with the addition of a privacy shutter.
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It gets all of the basic right, and image quality is very good, but is the camera worth the price of the subscription you’ll need?
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Design and Installation
Wall or desk mounted
USB-C power
Privacy shutter
As there’s no battery, the Arlo Essential 3 2K Indoor Security Camera is quite a bit smaller than the other cameras in the range, such as the Arlo Pro 6 2K. All you need to set it up is a power socket within reach of the required USB-C cable.
Image Credit (Trusted Reviews)
This camera can be sat on a desk or bookshelf, which is the easiest way to install it. If you prefer, the stand can be moved to the back and used as a wall mount, giving a more permanent installation.
One key difference that you’ll notice with this camera, compared to the other Arlo models, is the integrated privacy shield: a plastic cover that swings up in front of the camera to prevent it from recording.
Image Credit (Trusted Reviews)
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I think that’s quite important for indoor cameras, and it’s nice to have this privacy feature, which also gives you a simple way to check if the camera is on or off.
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Image Credit (Trusted Reviews)
Features
Subscription required for main features
Custom AI detection option
Very powerful object detection
This camera is quick and easy to connect to your Wi-Fi (2.4GHz and 5GHz networks supported) and into the Arlo app. This app remains one of my favourite, offering a brilliant range of controls and a simple way to find footage.
Before I get into the features, I have to point out that you need a subscription to make the most of the camera. If you don’t want to pay monthly, then don’t buy this camera.
A basic Arlo Secure subscription costs £7.99 a month for a single camera and includes just seven days of video history, which is stingy compared to the competition. You also get Basic Person, Animal, Package and Vehicle Detection.
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There’s also a multi-camera version of this plan for £11.99 a month, covering up to four cameras. It’s not clearly advertised on the website, but you can find it in the app under the subscriptions section.
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If you want the more advanced AI features, you’ll need Arlo Secure Plus, which costs £19.99 a month for unlimited cameras, gives you 14 days of video history and supports resolutions up to 4K.
At the higher tiers in particular, Arlo Secure is expensive compared with rivals such as Ring, which starts at just £4.99 for a single camera, with higher tiers adding extra features for cameras and the Ring Alarm.
I’d stick with the standard plan, especially if you’re using a 2K camera, although I’ll also explain the new AI features.
With Arlo Secure, you do get a lot of controls. With the basic plan, the object detection options dramatically cut down the number of motion alerts that I got. It’s unlikely that you’ll need them inside, but activity zones can futher reduce false alerts in some situations.
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Image Credit (Trusted Reviews)
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On the most expensive package, there’s support for facial recognition, although this only works on a single camera in your system. Realistically, it makes more sense to have this option on an external camera.
Image Credit (Trusted Reviews)
Vehicle recognition (like facial recognition) is also available, although this is a feature that you’re unlikely to need indoors unless something goes horribly wrong.
Custom detection on the higher tier is the only detection type of its kind that I’ve seen. With this, you can train the camera with before and after shots to spot your own custom events, such as the front door being left open. I find that I need a big enough difference between images for the feature to work, but it does open up a lot of possibilities.
There’s also support in the more expensive package for fire detection. If the camera spots a fire starting it can send an alert.
But, as nice as the extras are, they don’t feel essential, and I’d stick with the more basic cloud subscription options to save money.
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In the app, there are three modes: Arm, Arm Home and Standby. For each mode, you can set which cameras you want to have on. They’re essential for an indoor camera, where you won’t want to record everything going on in your home.
Modes can be set manually, scheduled or even triggered by your location, so you can largely automate the process.
With the Arlo Essential 3 2K Indoor Security Camera, when it’s set to not record the privacy shield quickly snaps into position.
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Recorded footage can be accessed via the app, with loads of filtering options: date, specific camera and even what triggered the motion (person, vehicle, etc). There’s then a thumbnail list of events, which can be watched and saved to your phone for longevity.
Performance
Excellent 2K video
Sharp video at night and during the day
With its 2K (2304 x 1296) resolution, the Arlo Essential 3 2K Indoor Security Camera has the same resolution as the bulk of the rest of the range of cameras. This step up from Full HD is a good one, adding a bit more sharpness and detail, but without the file size and bandwidth requirements of 4K.
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There’s a 130° field of view from this model, which is enough to capture most of a room, provided the camera is sensibly placed.
In daylight, the footage is excellent, as good as you can expect. Even in the busy Trusted Reviews Home Technology Lab, there’s detail all the way through the frame, and faces are sharp and clear.
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Image Credit (Trusted Reviews)
At night, the Arlo Essential 3 2K Indoor Security Camera switches to black and white footage, using IR to light up the space. These IR lights work well, with the main frame sharp. Moving objects become a bit softer, but even so, it’s easy to find a frame where people are easy to identify. Again, you don’t really get better than this.
Image Credit (Trusted Reviews)
Should you buy it?
You want a smart, quality indoor camera
Excellent 2K footage day and night, plus a wide range of detection options make this camera a winner.
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You want a camera with lower monthly costs
Arlo Secure is quite expensive, and there are cameras with cheaper or even no monthly subscription costs.
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Final Thoughts
In terms of pure quality and features, the Arlo Essential 3 2K Indoor Security Camera is an excellent bit of kit.
It’s well-priced, shoots excellent video, and the Arlo app is brilliant, with some of the most advanced detection options. The flip side is that subscriptions are expensive, but if you want the best features, this camera is great. For alternatives, including subscription-free options, read my guide to the best indoor security cameras.
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How We Test
We test every security camera we review thoroughly over an extended period of time. We use industry standard tests to compare features properly. We’ll always tell you what we find. We never, ever, accept money to review a product.
Find out more about how we test in our ethics policy.
Used as our main security camera for the review period
We test compatibility with the main smart systems (HomeKit, Alexa, Google Assistant, SmartThings, IFTTT and more) to see how easy each camera is to automate
We take samples during the day and night to see how clear each camera’s video is
FAQs
Do you need a subscription to use the Arlo Essential 3 2K Indoor Security Camera?
No, but without a subscription you miss out on the advanced features, such as people detection.
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Does the Arlo Essential 3 2K Indoor Security Camera have a battery?
NASA’s Mars rovers have accomplished a whole lot since the first one landed on the red planet in the late ’90s, but even the latest members of the fleet still have plenty of limitations. For one, they’re very slow; Perseverance, which NASA considers a “standout,” achieves a top speed of just under .1 mph on flat ground. On top of that, the rough terrain is hard on the rovers’ wheels, and steep slopes with hazards like rocks and sand pose a real challenge, sometimes requiring long detours to reach certain targets. But this week, NASA showed off its progress on a prototype that boasts more advanced capabilities: the Exploration Rover for Navigating Extreme Sloped Terrain, or Ernest.
The space agency has been testing Ernest in the Colorado Desert, exploring new approaches that could be used for future missions on Mars and the moon. Ernest has four wheels, in contrast to the current Mars’ rovers’ six, and is four feet long, though a version that would be used for an actual mission would be double the size. And, it can individually lift its wheels to step on or over obstacles. In the recent tests in the desert, the prototype drove for a total of over 37 hours across seven days, covering roughly 16 miles, according to NASA. It hit a top speed of about .6 mph.
“You could do a science road trip across the Moon — or Mars — with this vehicle,” said James Keane, a JPL planetary scientist working on lunar missions. Going back to NASA’s Sojourner rover, the Mars rovers have relied on a passive suspension system, the rocker-bogie system, to keep the weight constant across their wheels. Now, though, engineers are trying out active suspension with Ernest to achieve greater mobility. “Two powered joints in front articulate a gimbal that allows the rover to drive using different gaits like squirming, wheel-walking, and obstacle-climbing,” NASA says.
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It can switch between active and passive suspension depending on the task and energy needs, and thanks to its four steerable wheels, it can drive in any direction. There have already been multiple iterations of the Ernest prototype since the program began in 2022, and the team has tested nearly a dozen active suspension configurations. The latest version also has “enhanced independent decision-making capabilities.” The goal with Ernest is to develop the technology for rovers that can cover more ground than those that came before them, and faster, with less reliance on human controllers back on Earth.
The managing directors of Seattle’s AI House, from left: Yifan Zhang, Jacob Colker, and Sri Chandrasekar. (AI House Photo)
AI2 Incubator has spent the past 12 years building AI companies in Seattle. Now it’s taking the name of the community it built around that work, rebranding today as AI House and dropping the AI2 name it had kept as a vestige of its former ties to the Allen Institute for AI.
The incubator was founded in 2014 inside Ai2 — the Seattle research institute created by Microsoft co-founder Paul Allen — long before artificial intelligence became a household term. Its mission has been to help founders with the early work of company building: idea formation, customer discovery, recruiting, technical strategy and more.
In 2022, the incubator spun off from Ai2, and last year launched AI House as a physical hub for Seattle’s AI ecosystem — a gathering space for founders, engineers, researchers and investors at Pier 70 on the Seattle waterfront. In its first year, more than 20,000 people came through its events and programming.
“We’ve grown a lot, we’ve become our own organization in so many ways,” said Jacob Colker, the co-founder and managing director of AI2 Incubator and now AI House. “Community has become a deeply intertwined company-building platform for how we do what we do — and that was a big catalyst for the evolution of our brand.”
Along with the rebrand, AI House is bringing on Sri Chandrasekar as a new managing director. Chandrasekar spent nearly a decade at Point72 Ventures, where he helped build the firm’s ventures and private equity businesses, and previously led investments at In-Q-Tel, the strategic investment arm of the U.S. intelligence community.
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While considering what to do next and possibly starting his own fund, Chandrasekar said he realized it was already being built.
“I think the core of what I would have wanted to do was build a community of founders all learning from each other and going as fast as they can,” Chandrasekar said. “And it already existed at AI House.”
AI House opened in March 2025 and features 108,000 square feet of space for co-working, events and more at Pier 70 on the Seattle waterfront. (GeekWire File Photo)
Chandrasekar was already deeply connected to AI House before joining full-time — he had invested in several of its portfolio companies and wrote the first check into the organization’s $80 million Fund III last fall. He moved to Seattle from the Bay Area in 2021, betting the city would become a major force in AI.
Five years later, that conviction has only grown.
“As I think about my portfolio from Point72, some of our best performing companies are Seattle-based,” Chandrasekar said. “We had never made a Seattle investment before I moved up here, and something like 25% of our investments, maybe even more, were Seattle-based by the time I left.”
Chandrasekar joins Colker and fellow AI House managing director Yifan Zhang, who have led the organization through its evolution from research institute spinout to independent venture firm and community hub.
Colker credited Zhang with creating the basis for a community and building a public-private partnership with the City of Seattle, the State of Washington and Ada Developers Academy, with early support from Google and JPMorgan.
“It’s through her hard work over the last year that we have so much energy coming through the space,” he said.
Oren Etzioni, the longtime AI researcher and former CEO of the Allen Institute for AI, continues in a part-time role as technical director, and AI House also recently hired former GeekWire editor Taylor Soper as director of community and programming.
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Under the AI House name, the organization is formalizing itself around three pillars: Community, which brings together founders, engineers, researchers and investors across the Pacific Northwest; Incubator, where the team works side by side with founders from the earliest stages; and Capital, where it writes pre-seed checks from its Fund III into applied AI companies.
Colker said the company-building playbook that worked in 2018 no longer applies in 2026.
“The new playbook is being written in real time,” he said. “One team’s breakthroughs that week become another team’s unfair advantages next week.”
Yifan Zhang accepts the Geeks Give Back award for AI House at the 2026 GeekWire Awards in Seattle in May. (GeekWire Photo / Kevin Lisota)
Over its 12-year history, AI2 Incubator spun out more than 40 companies — including computer vision startup Xnor.ai, acquired by Apple; legal tech firm Lexion, acquired by Docusign for $165 million; and applied AI startups Yoodli, Ozette, Roboto and Casium — with 90% of graduates going on to raise venture funding.
AI House will continue to recruit founders from across North America — the organization has portfolio companies in Montreal, New York, San Diego and elsewhere — but Seattle remains the home base. Going forward, every founder in the incubator will be required to spend at least one month working from AI House daily.
“Community is not something you can fully access from a distance,” Colker said. “The value comes from being in the room: the conversation after an event, the founder at the next desk, the operator who helps with a pricing question.”
Colker has been vocal on LinkedIn about what he sees as Seattle’s underappreciated stature, and he had no shortage of examples. Forty percent of world air travel flies on planes built in the Pacific Northwest, he noted. The cloud was invented here. When OpenAI needed compute, Sam Altman flew to Seattle to talk to Microsoft CEO Satya Nadella. When Anthropic needed compute, Dario Amodei flew to Seattle to talk to Amazon CEO Andy Jassy.
“How are we not just walking around with our heads held high?” Colker said. “I think we are as a region bad at telling our story — but that doesn’t mean we don’t have ambition and world-changing impact. It just shows up a little differently.”
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Chandrasekar, who made his own bet on Seattle, put it simply.
“I can’t imagine a more exciting opportunity than investing in AI companies in an area that has a plethora of AI talent like Seattle,” he said. “If you want to use AI to disrupt an industry, this is the place where we teach you how to do that.”
Travel often turns charging into a small production. You reach for the phone cable, then hunt down the watch puck, then dig out the earbud case adapter. Before long the bag holds more power gear than clothes. Anker built the MagGo 3-in-1 Wireless Charging Station, priced at $67.49 (was $90), to cut that routine down to one compact piece that actually fits in the corner of a carry-on.
Official measurements show that when upright, it measures 3.46 × 3.46 × 4.92 inches and weighs just over 10 ounces. It’s a brilliant design that employs a short silicone hinge mechanism, allowing the entire device to fold out flat or at any angle you like, with no exposed wiring or loose parts to deal with. When you eventually put it down, four rubber feet will keep it steady on your nightstand or hotel desk.
Ultra-Fast 15W Wireless Charging: Harness full 15W charging power, giving your essential devices the quickest charge, consistent with the original…
Compact Charging for 3 Devices: Ideal for clutter-free workspaces, this compact charger fits ideally on any desk, powering everything from phones to…
Certified Fast Charging for Apple Watch: Boasts official certification, enabling you to power your Apple Watch Series 10 from 0 to 100% in just 1 hour…
When you open it, three special pads come to life, the largest of which uses some clever Qi2 magnetic alignment to send up to 15 watts to your most recent iPhone. Slap your phone on and it clicks into place; tilt the pad and the screen remains visible even while the phone is in Standby mode. Next to that is a 5-watt pad that is specifically designed to fit AirPods cases and includes wireless charging. Then there’s the third pad, which handles Apple Watches with Apple-certified quick charging at 5 watts. All three pads can function simultaneously, so you can charge your phone, watch, and earphones all at once without experiencing any slowdowns or priority issues.
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All of the power comes from the 40-watt USB-C wall adapter and 5-foot cord, which are included when you open the package. That adapter provides enough electricity to keep everything charged, and even while charging three devices at once, it remains well within its capabilities. Testers have put this device through its paces, and even after three full charges, it keeps quite cool thanks to some clever ventilation slits integrated into the base. To top it all off, a little LED light will flicker on to indicate that everything is linked, but it will be faint enough not to disturb you at night.
It works with iPhone 12s and up, most Apple Watch models, including the Ultra models, AirPods Pro, and other devices that support wireless case charging. It’s worth noting that non-magnetic cases or metal attachments can interfere with the phone pad, but a regular silicone or slim case will work just well, and while it uses slightly more power in standby than some of those single-device chargers, the difference is negligible in normal use.
This week OpenAI announced a 750-task test to to measure “whether AI systems can support realistic life science research tasks, not just answer biology questions.”
But while OpenAI’s top-performing GPT-Rosalind model led the rankings, Slashdot reader BrianFagioli notes that “it achieved a pass rate of just 36.1 percent, failing nearly two-thirds of benchmark tasks.” Nerds.xyz points out that means “the best-performing model failed nearly two-thirds of the benchmark’s tasks.”
The benchmark also revealed a familiar weakness. AI systems generally perform better when everything is presented as text. Once they are forced to work with supporting documents, figures, or complex datasets, performance drops noticeably. GPT-Rosalind’s pass rate fell from 45.1 percent on text-only tasks to 28.1 percent on tasks involving artifacts or URLs.
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To be fair, the benchmark is not intended to suggest AI is useless in research. Quite the opposite. OpenAI found that models are becoming increasingly capable of scientific communication, evidence synthesis, and translating research findings into practical explanations. Those are valuable skills, particularly for researchers drowning in information. But LifeSciBench serves as a useful reminder that today’s AI systems are still far from autonomous scientists. They can help. They can assist. They can sometimes provide surprisingly useful insights. What they cannot reliably do, however, is replace the expertise, judgment, and skepticism that real scientific research requires.
Some municipalities implement bike counters on cycling routes in order to monitor traffic. [nullpxl] recently investigated how these counters work, and explored methods that can be used to trick the counter into thinking a bike passed over it.
A great many of these devices are built using inductive loop sensors. This involves passing a current through a loop of wire embedded in the ground. When a conductive item such as the metal wheel of a bike passes through the electric field, eddy currents are generated in the item, creating their own magnetic field which reacts with the loop’s field itself. This creates a change in inductance which can be measured, and thus used to log the number of times a conductive item has passed over the sensor. By looking at the signature of the inductance change, a system can be tuned to detect specific objects—for example, two bicycle wheels passing over a sensor will create a signal that varies over time in a characteristic way.
[nullpxl] first tried to recreate a “bike” signal for the inductive loop by running over the area holding two metal pans. This wasn’t close enough, so a new idea was needed. Experiments with a scrap bike then indicated that there was a speed gate involved, and that wheeling one wheel over the sensor and back again could trick the sensor into thinking a bike had passed by. Eventually, [nullpxl] distilled all this learning down to create “the BIKE BASKET.” It’s simply a bag with a bike wheel in it, and swinging it over the sensor twice makes the counter tick up.
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Is there any money in tricking the average municipal bike counter in your local city? We doubt it, unless Big Bike is getting increasingly filthy in its lobbying efforts. In any case, we love to see weird sensor hacks around these parts.
Microsoft has attributed a recent Mastra AI supply chain attack that compromised more than 140 npm packages to the North Korean hacking group Sapphire Sleet, also known as BlueNoroff.
This attribution comes after Microsoft first disclosed earlier this week that attackers hijacked an npm maintainer account and used it to publish malicious package updates.
“Microsoft assesses with high confidence that this activity is attributable to Sapphire Sleet, a North Korean state actor that primarily targets the financial sector,” the company said in a June 19 update.
According to Microsoft, the attack began when threat actors compromised the npm maintainer account “ehindero,” which had publishing privileges across the Mastra package environment.
Using the account, the attackers published malicious updates for more than 140 packages in the @mastra scope that injected a malicious dependency named “easy-day-js”. This dependency is a typosquat of the legitimate and widely used dayjs JavaScript library.
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When the compromised packages were installed, the malicious dependency executed a post-install hook that deployed a malware dropper on developers’ devices, ultimately aimed at stealing sensitive credentials, API keys, authentication tokens, and cryptocurrency wallets.
“Once installed, easy-day-js triggered a postinstall hook that executed an obfuscated dropper script, disabled Transport Layer Security (TLS) certificate verification, contacted attacker-controlled command-and-control (C2) infrastructure, downloaded a second-stage payload, and executed the payload as a detached hidden process,” explains Microsoft.
Cross-platform malware targets crypto wallets
The downloaded second-stage payload was a cross-platform information stealer designed to target Windows, Linux, and macOS systems
The implant collected information about the host, browser histories, installed applications, and running processes, and checked whether 166 cryptocurrency wallet browser extensions were installed, including MetaMask, Phantom, Coinbase Wallet, Binance Wallet, and TronLink.
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The malware also used different persistence methods depending on the operating system, such as Windows Registry Run keys, macOS LaunchAgents, and Linux systemd services.
Mastra npm supply chain compromise Source: Microsoft
Microsoft says systems that communicated with the attackers’ command-and-control servers had follow-on activity that utilized tactics previously associated with Sapphire Sleet.
This includes the deployment of a PowerShell backdoor previously used by the group, additional persistence mechanisms, Microsoft Defender exclusions, and a malicious Windows service that granted SYSTEM privileges.
“The PowerShell backdoor, tradecraft, and C2 infrastructure have been used by Sapphire Sleet in other, prior campaigns,” Microsoft explained.
For those who want a career that encompasses all that is positive about the technology space and that leaves the world a more equitable place, Industry 4.0 is a gamechanger.
For many within Industry 4.0 type careers, there is often no one way to define or describe a role. With the advancement of working expectations and technologies, many roles have morphed into one another, to form hybrid jobs that cover many areas. That is certainly true of careers in sustainability that sit at the intersection of the business, environmental and tech landscapes.
The professionals who operate within technology-driven sustainability-focused roles are often expected to wear many hats to address the problems of a modern era, in a modern way.
With that in mind, what skills are needed for those who envision a career in a space where business acumen, tech-knowledge and a passion for a leaner, greener and cleaner world, merge? And what kind of companies have a need for a professional with this particular skillset?
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Where to go?
When job hunting, it can be difficult to find an organisation that perfectly aligns with your professional or even personal goals, as well as one that is genuinely committed to making a significant and lasting change. For the most part companies will say and do the right things initially, but what is important is sourcing the organisations that have a history of blending their long-term sustainability and technology strategies, so you have evidence of their commitment. This might be in a large multinational or an SME – regardless, make sure you research a company and even ask about their policies and opportunities before fully committing to a role.
It is also critical that, especially in the early days of your career, you don’t put yourself in a box because you can’t find the right title, or because the organisation itself isn’t in the sustainability space. The joy of working in this capacity is that you get to be the drive behind an organisation’s commitment to doing better. So roles in areas such as climate data science, renewable energy, AI solutions architecture, digital twins, additive manufacturing, smart manufacturing and more, in diverse companies, create opportunities to better align an organisation with future sustainability goals. It makes an impact.
Round and round
As with any job in an industry that depends on major technological achievement, popular in-demand skills include AI, machine learning, data analytics, 3D imaging, IoT and so on. But when you are working in a sustainability-driven Industry 4.0 role, there are additional abilities that are needed to make up a robust skillset. Many of those skills fall under what is known as the circular economy.
The circular economy is a system by which global production and consumption focuses on sustainable, less harmful practices such as sharing, leasing, reusing, repairing, refurbishing and recycling existing materials and products as long as possible. An item’s life cycle and potential for use is extended and waste is reduced to a minimum in this system.
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To achieve a circular economy, companies and their employees need to rethink how they engage with supply chains, the manufacturing process, energy usage, waste disposal and other key areas to avoid the more wasteful linear economy that tends to adopt a ‘use it and throw it away’ kind of mindset.
Skills to prioritise in this area include systems thinking, which is the ability to better understand how all parts of a value chain, the materials, supplies, consumption, waste recovery, policies and infrastructure work in tandem.
Also, consider circular design skills, which enable a professional to design and develop materials and items that are durable, repairable and reusable, effectively undermining ‘planned obsolescence’, which is the practice of deliberately making something fragile, less-powerful or prone to wear and tear, so you have no choice but to replace it – often too soon.
The voice and face
Another important element of careers in the sustainability and Industry 4.0 space, is the ability to advocate for the work itself and to show its value in a way that is measurable and irrefutable.
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As mentioned before, careers in this area are no longer ‘just one thing’, rather professionals cover strategy, operations, policy, consultations, finances and green technologies, often while managing teams and dealing with internal and external communications.
With that in mind, professionals need to have a significant understanding of how the business works financially, how the budget can accommodate new green initiatives, how it might align regional climate-focused guidelines, as well as how to report and disseminate findings, outcomes and other relevant information.
This may require a commitment to education, a focus on leadership and management skills, a study of specific frameworks, analytical skills and capability in public speaking and engagement. If you aim to work as a consultant for an organisation or with larger institutions and government bodies, presentation skills could be of use.
The thing about careers in this space is that there are so many opportunities for qualified and ambitious tech professionals to make their role sustainability focused. We have only just scratched the surface here, so if your job sits at that intersection, don’t be panicked about choosing a lane, forge your own course.
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Although the basic principle of radio direction finding is easy to understand (measure the phase difference between different antennas, then calculate the angle of arrival from this difference), the radio hardware to actually implement this has historically been hard for hackers to access. The QuadRF project aims to change this by building a phase-coherent four-channel SDR which makes direction mapping easy (GitHub repository).
The QuadRF uses two boards: one to receive and pre-process radio waves, and a Raspberry Pi 5 for additional processing. The RF board has four patch antennas, each capable of either transmitting or receiving in the 4.9 GHz to 6.0 GHz range, with switchable right- or left-hand polarization. For on-device processing, it uses a Lattice ECP5 FPGA, which uses two MIPI cables to connect to the camera and display interfaces on the Raspberry Pi. These form a very high-speed data exchange, and after further processing, the Pi can pass data on over Ethernet or Wi-Fi. Individual QuadRF boards can connect together in a lattice grid to form larger phased arrays.
The QuadRF’s software shows off its real strength: it’s compatible with standard programs like GNU Radio, but it also hosts a few of its own programs. The most striking of these is an “RF camera” which scans its entire frequency range at 30 fps, tracking the direction of detected signals and visualizing them on a spatial plot. When overlaid on a camera feed, this plot lets one easily see the radio signals emitted from electronics; as an example, the creators tracked a drone in flight, even distinguishing the two radio transmitters on the drone.
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This isn’t the first multi-antenna SDR we’ve seen, though this is the first that could transmit. It’s important to be careful, though: some applications of this kind of hardware run afoul of arms regulations.
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