Google’s Gemini accessed the protected systems of three other companies in what The Wall Street Journal reports were the AI model’s first autonomous hacks.
Similar to OpenAI’s breach of Hugging Face, the Gemini hacks were less noteworthy for being particularly sophisticated and more for the fact that they were conducted by an AI model. These breaches took place during cybersecurity testing by a company called Irregular. In one case, Gemini simply guessed passwords until it gained access; in the other two, it found credentials in a public repository.
Irregular reportedly notified Google about the hacks in late July, but the companies did not confirm them publicly until Friday, after the WSJ reached out. Google said it hadn’t previously revealed the hacks because Gemini had “acted appropriately” by ending each breach as soon as it determined it had hacked a real company.
However, Jack Cable, the CEO of AI security company Corridor, told the WSJ that Google was “trying to hide behind the norms that have been created for vulnerability disclosure,” rather than acknowledging that “models are going outside the bounds of what they should be doing, and doing actual cyberattacks.”
Mouse Computer has fitted Ryzen AI processors into a laptop weighing just 981g
The X2 uses a 12.2-inch display with 1920 by 1200 resolution
A free SODIMM slot allows memory expansion from 16 GB to 32 GB
Japanese electronics maker Mouse Computer has introduced a compact laptop called the X2, a compact notebook weighing 981g.
The device pairs a 12.2-inch display with AMDprocessors, offering configurations that scale from modest to genuinely capable performance.
The laptop frame measures 277.1 mm wide, 210.2 mm deep, and 19 mm tall, retaining a single unoccupied SODIMM slot for later RAM upgrades.
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Specifications built around three AMD chip options
Buyers can choose between three distinct AMD APUs, each aimed at a different performance and price bracket for portable computing.
The base option, a Ryzen 5 216, combines two full Zen 4 cores with four smaller Zen 4c cores in a six-core layout, which should perform similarly to AMD’s existing Ryzen 5 8540U based on available benchmark comparisons circulating online.
A step up brings the Ryzen AI 5 340, part of AMD’s Krackan Point lineup, also arranged in a six-core configuration.
Multicore results suggest this chip lands close to Intel‘s Core Ultra 7 165H and edges past the Core Ultra 5 325.
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The top configuration, a Ryzen AI 7 350, uses eight cores split evenly between four Zen 5 and four Zen 5c units, which approaches Intel’s Core Ultra 9 185H in combined multi-threaded and synthetic benchmark scores, according to early comparisons.
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The portable display panel runs at 1920 by 1200 resolution and reportedly covers 100% of the sRGB color gamut.
A 180-degree hinge, 60 Wh battery, and 500 GB NVMe SSD round out the internal hardware package.
Connectivity includes gigabit LAN, Wi-Fi 7, Bluetooth 5, USB Type-A ports, HDMI output, and a microSD card slot for storage expansion.
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A 2 MP webcam with a privacy shutter supports Windows Hello, while Windows 11 Home ships preinstalled on every unit.
Battery life reaches roughly 12.5 hours during video playback and about 25 hours in idle mode, measured under JEITA 3.0 standards.
Pricing stays confined to the Japanese market for now
The Ryzen AI 5 variant, equipped with 16 GB of RAM and 500 GB of storage, costs ¥239,800, or roughly $1,545.
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The higher Ryzen AI 7 configuration carries the same memory and storage allotment but costs ¥259,000, or about $1,670.
Sales of this device will begin sequentially from October, though the rollout remains confined to the Japanese market via the company’s online store for now.
The laptop is currently available in three colour options — Cosmo Blue, Frost Gold, and Pearl White.
Both versions ship with single-channel memory by default, though the empty SODIMM slot allows an upgrade path from 16GB to 32 GB.
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A compatible 16 GB DDR5-5600 module currently retails for around $229 through Amazon‘s storefront.
Interested customers elsewhere would need to rely on import services to acquire a unit, adding cost and complexity to the process.
A joint law enforcement advisory warns that the North Korean hacking group WaterPlum compromised at least 30,000 devices worldwide from December 2025 through July 2026 and transferred more than $10.7 million in stolen cryptocurrency to North Korea.
The figures came from a joint advisory by Japanese, US, Australian, and German authorities that collectively traced the threat group’s activity.
WaterPlum is linked to a multi-year campaign known as “Contagious Interview,” which has previously targeted job seekers with malicious npm packages hat infect their devices with malware.
The attackers impersonate legitimate AI, cryptocurrency, and NFT companies or use recruiting and freelance platforms to approach job seekers.
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During fake interviews and coding tests, victims are instructed to download projects, troubleshoot supposed video-conferencing problems, or execute malicious code.
Source: FBI
WaterPlum is part of a broader ecosystem of North Korean threat actors that conduct financially motivated attacks to generate revenue for the regime and help fund its weapons programs.
“WaterPlum actors have infected at least 30,000 devices in more than 100 countries and exfiltrated funds or account credentials from over 7,000 cryptocurrency wallets,” reads the advisory.
“WaterPlum actors have transferred 1.7 billion Japanese yen (JPY) (equivalent to 10.71 million USD) of cryptocurrency assets to the Democratic People’s Republic of Korea (DPRK).”
The advisory links several malware families to WaterPlum operations, including:
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BeaverTail: JavaScript malware concealed in npm packages.
InvisibleFerret: Python-based backdoor.
OtterCookie: JavaScript remote-access trojan and information stealer.
OtterCandy: Malware combining OtterCookie and RAT capabilities.
StoatWaffle: Modular Node.js malware delivered through malicious Visual Studio Code projects, using configuration files that execute code after a folder is opened and trusted.
Once a target is compromised, the attackers attempt to steal browser credentials, clipboard contents, keystrokes, cryptocurrency private keys and seed phrases, and documents, while also capturing screenshots.
They may also use access to infected computers to pivot to their employers’ or clients’ networks, expanding the attacks to intellectual property theft and espionage.
The agencies also directly connect WaterPlum to North Korea’s fraudulent IT worker operations, stating that some WaterPlum hackers also work as remote IT workers performing web development for clients and that the two groups have used the same IP addresses.
The advisory also warns that North Korean IT workers then reuse identity documents stolen in WaterPlum attacks to impersonate victims and obtain jobs.
Investigators also found that the WaterPlum actors use AI face-swapping software during online interviews, then turn off their cameras and blame network problems.
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Source: FBI
The FBI and Japanese police assess that WaterPlum actors and some North Korean IT workers operate under the country’s 313 General Bureau, which is part of the Munitions Industry Department responsible for North Korea’s weapons research and production.
Japan’s National Police Agency says authorities identified, investigated, and dismantled a North Korean IT-worker “laptop farm” in the country for the first time, finding evidence that several hundred million yen had been transferred abroad.
The advisory warns companies to carefully verify job applicants’ identities, locations, and qualifications and restrict their access to only the systems and data required to perform their jobs.
Developers should avoid running unknown code outside a sandbox and inspect provided files and code for commands that fetch additional payloads.
Join Mikko Hyppönen and security leaders from the NFL, CHANEL, and Atlassian for a two-hour digital summit on what AI-speed attacks change, what defenders should stop doing, and how to validate, decide, fix, and re-validate at machine speed.
Bolt will own and operate the new fleet of autonomous vehicles.
Estonian ride-hailing service Bolt has partnered with US carmaker Lucid to deploy at least 25,000 fully autonomous vehicles (AVs) across multiple European cities, marking the latest efforts by businesses to bring robotaxis to the region while regulators attempt to play catch-up with the technology.
The partnership will utilise Bolt’s extensive European data along with Lucid’s software-defined vehicle platform to develop an autonomous driving system (ADS)-ready vehicle platform designed for level-four autonomous mobility. The platform will be built on Nvidia’s Hyperion, a production-ready AV reference architecture.
Bolt will own and operate the new vehicles, it said. The company hopes to grow its AV fleet to 100,000 by 2035.
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The Estonian company will work across product development through to commercial operation in its new partnership, helping define vehicle requirements as well as software, safety and rider-experience parameters. It will also build the fleet infrastructure, operating systems and city partnerships needed to deploy the AVs at scale.
“Autonomous driving in Europe requires data, software, vehicles and operations to work as one system built for European roads and regulation,” said Markus Villig, the founder and CEO of Bolt.
“Lucid brings a world-class platform, and together, we will co-design the vehicle and software based on our data and more than a decade of operating experience across more than 850 cities.”
Robotaxis are a common sight across major US and Chinese cities, but expanding operations to older European cities with often rainy weather has been a challenge for global AV leaders.
If your iPad refuses to charge, it’s likely an issue with the cable or charging block.
ridho try syahpitra/Shutterstock
Having your iPad refuse to charge is a frustrating sight, whether it’s fully drained after a late-night YouTube binge or you’re topping it off before class. Even if you own one of the best iPad models, charging problems can easily crop up. But what’s causing these issues, and how can you solve them?
If your iPad refuses to charge out of nowhere or starts charging more slowly than usual, you’re looking at either a problem with the cable and charger, or a potentially more serious underlying hardware fault. While a damaged or underpowered charger is often the primary culprit for an iPad that won’t charge, there could also be an issue with your tablet’s charging port. We’ll guide you through why your iPad might have suddenly stopped charging while also providing tips on how to power it up again.
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Why has my iPad stopped charging all of a sudden?
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First, don’t panic: an iPad not charging doesn’t necessarily mean it’s bricked. The main culprit behind charging woes could be as simple as a faulty charger or cable. When possible, it’s best to use the official first-party charger that came with your iPad or one of the best fast chargers. That way, you know it’s getting enough power.
It’s not a great idea to use cheap third-party chargers, as they may be unreliable or unsafe due to poor quality control. Also, the iPad needs a heavier-duty charger than an iPhone, given its large battery. It’s possible that a weak charger is connected properly, but doesn’t send enough flow to get your tablet going. Ideally, you want a charger that provides at least 10W, not that old Kindle charging block that’s been buried in a drawer for years. Using a high-quality cable that meets the fast charging standards of your charging block is important, too.
Thus, when you encounter iPad charging problems, switch between multiple cables and adapters to rule out peripheral faults. If certain cables and chargers work but others don’t, that’s a sign the charging accessory is bad, not your iPad. Try various wall outlets too, just to make sure you’ve ruled everything out.
In the unlikely instance that you’ve left your iPad to gather dust for weeks or even months, its battery is likely fully discharged. Most devices are prone to charging issues if they’ve been left completely drained for extended periods of time. So if you’ve neglected your iPad for months, let it sit on the charger for a good while, as it could take a while before it’ll turn back on (even with an ultra-fast charger).
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Extreme temperatures can also wreak havoc with your iPad’s battery. Apple advises that you refrain from charging an iPad in direct sunlight, while overly cold conditions should also be avoided. The company states temperatures between 32°F to 95°F are optimal for safe charging conditions. Veer outside these temps, and iPadOS may start to slow or completely stop charging to protect your iPad’s lithium-ion battery.
How to tell if your iPad’s charging port is damaged
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The inverse of our earlier test also reveals important info: if you have chargers that work fine with other devices but refuse to juice up your iPad, your tablet’s port is likely damaged. Another signal of port damage or blockage is the charging icon on your iPad’s screen fluctuating on and off.
You should carefully examine your tablet’s charging port. The simplest way to do this is using the flashlight on your phone to peek inside. If you can see scratched or bent pins, or if there’s any sign of discoloration, the port is likely damaged. At this point, you should contact Apple Support to see what your repair options are. Provided your iPad is still in its warranty period, Apple may complete the repairs for free, as long as it deems the problem was from a manufacturing defect and not one caused by accidental damage. If you have AppleCare protection, port damage should be covered (with a deductible).
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Problems with your iPad’s charging port may not be as severe as physical scrapes and scratches; charging problems can often happen from dirt buildup. If you see lint or dust packed into your iPad’s port, this may interfere with the charging cable connection. To safely remove any grime that’s formed inside the port, use the soft bristles of a clean brush. Avoid small metallic objects like paperclips, as they can scratch the port internals. Don’t use cotton swabs either, as they can leave fibers inside the port.
How to reset an iPad that won’t charge
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Once you’re confident that neither your iPad’s charging port nor the cable/charge are the culprits, it’s time to force your tablet into a hard reset. This won’t delete any data; it’s a forced restart akin to pulling the plug on a desktop PC. The process differs slightly depending on the model.
For those with modern iPads that lack a Home button, first press and swiftly release the Volume Up button (the one closer to the Power button), then press and release Volume Down. After this, hold the Power button (located at the top-right with the port at the bottom and the screen facing you). Continue to hold this until the Apple logo appears on your iPad’s screen, which can sometimes take a few seconds.
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If your iPad does have a Home button, the process is a little simpler. Just hold the Power and Home buttons together until the Apple logo shows up to complete a force restart. Once your iPad boots normally again, hopefully it will charge as normal. If not, it’s time to get in touch with Apple.
U.S. military intelligence received an inaccurate report this spring that a Chinese ship in the Middle East was transporting components of a nuclear weapons program, reports CNN.
“The US military swung into action with plans to intercept the vessel, according to four sources familiar with the episode.”
Armed members of the US military were preparing to board the ship [according to two of the sources]. Military planes were in the air, one of those sources and another source familiar with the incident said. It was only just before the planned operation that officials dug deeper into the report put together by a special operations command analyst and found it had been generated with the help of AI — and that a chatbot the analyst had used inaccurately identified the material the ship was carrying.
The report, according to one of the sources, was “entirely false.” But it also “almost started a war,” the source said. Any US operation against a Chinese vessel could have risked spiraling into an armed conflict between the two nations.
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Across the US military and the intelligence community, officials are pushing to weave AI into nearly every facet of their work, from analyzing the huge volumes of raw intelligence the US collects and selecting targets for strikes, to more mundane applications like managing budgeting, logistics and supply chains. But the episode underscores the profound risks of using this powerful, new and relatively poorly understood technology for targeting in the middle of a war…
Officials say the US can’t afford to fall behind in integrating AI in case it must one day fight China or another adversary who would potentially be able to stay one step ahead of the US. In January, Defense Secretary Pete Hegseth released his agency’s “Artificial Intelligence Acceleration Strategy” in a bid to speed up the military’s use of AI. “We will unleash experimentation, eliminate bureaucratic barriers, focus our investments and demonstrate the execution approach needed to ensure we lead in military AI,” Hegseth said in a speech announcing the strategy.
Thanks to long-time Slashdot reader stabiesoft for sharing the news.
Cody Rhodes posted the Street Fighter clip yesterday and immediately made the whole thing look inevitable. He wears a tall blond plastic flattop on his head, the exact silhouette Guile has carried since the early Street Fighter games, and talks about it the way old luxury car ads used to talk about leather and wind resistance. “It’s ergonomic and it’s aerodynamic. And it can be yours,” he says, while Noah Centineo and Callina Liang reach up and pull popcorn out of the hollow where the hair should be.
AMC Theaters plans to sell this insane container as an exclusive tie-in to the upcoming Street Fighter film, which will be released on October 16th. Tickets will go on sale on Monday, September 21st. The thing is basically a bucket that replicates Guile’s gravity-defying hairdo, made of hard plastic, and then leaves the top open so it can be filled with popcorn, because of course it does, just the sort of thing you’d want to walk around with a full head of ‘hair’ of melted butter and soggy puffs. A chin strap maintains everything in position, allowing you to wear it while watching a movie or scooping handfuls of popcorn without setting the bucket on your lap. Vice specifically mentioned the strap, which indicates that the design expects you to wear it on your head even when it’s full to the brim.
According to Fantasy Land News, the AMC version also includes a Street Fighter dog tag necklace, making the whole thing a two-piece set rather than a bizarre single keepsake. One thing is still missing: AMC hasn’t posted the pricing or ounce count yet. The closest current analog to work with is last Spring’s wearable Shao Kahn helmet bucket, which cost $42.95 and held 85 ounces. That is the wide range that many people are estimating until AMC decides to post the item right next to advance tickets.
Regal and Cinemark took a different approach on this. Regal, Marcus Theaters, and the Swan Drive-In are offering a non-wearable bust of Guile for $39.95. Cinemark & Swan also sells an arcade-cabinet-style bucket for $29.99 and a set of Chun-Li and Ryu character cups for $19.95. AMC just kept the wearable thing to itself, which is really kind of fitting given that they are the only ones wearing the Guile helmet throughout the ad. Cody Rhodes stars as Guile, Roman Reigns as Akuma, Jason Momoa as Blanka, 50 Cent as Balrog, David Dastmalchian as M. Bison, Andrew Koji as Ryu, and Kitao Sakurai directs the entire thing. The film already appears to rely largely on wrestlers and broad comedy timing, so using a bucket that you strap to your skull suits that tone. [Source]
The iPhone 18 Pro Max main camera’s new variable aperture is a huge deal and, in my limited experience, I can already see that it could transform iPhone photography. Still, to know why this matters, you need to understand how it works.
The best analogy is your eyes.
If you’ve ever squinted to read something, you understand how an aperture works. The more open your pupil, the more light that comes in, but it’s widely scattered, making objects in the distance out of focus. If you squint, that cuts the amount of light coming into your eye, but it also removes more of the scattered light, leaving only the sharper light and imagery. On a camera, the open aperture (represented by lower f-stop numbers) has the same effect as your wide-open pupils. Lots more light, but only stuff nearest you is in focus. A smaller aperture, represented by higher f-stop numbers, is the eye-squint: less light but more focus throughout the frame.
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Ever since Apple announced the iPhone 18 Pro (and Pro Max’s) big camera update, which also includes voluminous Pro-level controls, I’ve been itching to try them. As soon as I got my iPhone 18 Pro Max in black, I ran outside to see if the update makes an appreciable difference in photography quality and possibilities.
The short answer is yes.
Understanding this new variable aperture
A few things you should know about this new hardware feature. First, it’s only on the 48MP main lens, so the 48MP, 4x telephoto, and 48MP ultrawide cameras only have fixed apertures: ƒ/2.8 and ƒ/2.2, respectively. Those are decently wide apertures, but the Main camera has Auto, ƒ/1.48, ƒ/1.8, ƒ/2.8, ƒ/4.0. That’s a wide range. It’s not quite DSLR-level, where you can stop down to, say, ƒ/11, which can be useful for deep focus and for capturing ultra-bright objects like the moon at night.
It’s also worth noting that these are physical f-stops. The iPhone 18 Pro Max Main camera aperture features an array of interlocked blades thinner than a human hair, and they slide over each other as the aperture opens and closes. It’s an engineering marvel. In the right light, you can see them adjusting.
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I think it’s fair to wonder why we need a physical, variable aperture when many of the iPhones since the iPhone 7 Plus have included portrait mode technology. In the early days, it used information from its wide and telephoto lenses to craft a bokeh effect. Eventually, Apple started using software to analyse the image and create a portrait mode with just a single lens (see 2020’s iPhone SE). No matter how the iPhones have done it over the years, it’s impressive and, for most users, good enough.
(Image credit: Jacob Krol/Future)
My goal, though, was to see how the portrait mode on the iPhone 18 Pro Max might differ from variable aperture photography (my preferred setting was f1.48). In other words, software vs. hardware. I did also fiddle with the other f-stops, but in bright daylight, the bokeh effect on ƒ/1.8 and ƒ/2.8 is quite subtle.
I took pictures of myself, photos of statues, and the image above of a drying leaf. That photo, or rather that one compared to the Portrait Mode shot of the same leaf, is what convinced me: this is a game changer.
When you use Portrait Mode on an iPhone, you can adjust the bokeh before or after photography. It’s a reminder that this is, at least in part, a software effect that can include or discard as much background sharpness as you desire.
Image 1 of 2
iPhone 18 Pro Max variable aperture
(Image credit: Lance Ulanoff)
Portrait mode
(Image credit: Lance Ulanoff)
A new leaf
Using the variable aperture is more akin to traditional photography. You have the lens, the aperture settings, and, now, if you choose, shutter speed, exposure, and focus. In the initial images, I left everything alone except for the aperture. To access it, you select the grid menu in the camera app, choose Aperture, and then select the aperture opening of your choice.
Image 1 of 2
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iPhone 18 Pro Max variable aperture
(Image credit: Lance Ulanoff)
Portrait mode
(Image credit: Lance Ulanoff)
I chose f1.48 and snapped a photo of the same leaf.
The result, which you can see above, was two pretty good pictures, but closer examination reveals how Portrait Mode struggled with the curling leaf. Look at the stem. It’s almost gone. By contrast, on the variable aperture shot, it was clear that the phone wasn’t trying to apply some software magic to separate the leaf from the background and create the bokeh. The leaf is complete. The whole image looks natural and, honestly, the hardware does what it would do on a traditional camera: let the lens and aperture opening make the call.
The leaf is in stark, colorful focus, and the background, while not as blurred as you get from Portrait Mode’s default settings, is pleasantly out of focus.
Image 1 of 2
iPhone 18 Pro Max variable aperture
(Image credit: Lance Ulanoff)
Portrait mode
(Image credit: Lance Ulanoff)
I saw similar results with my selfies. Again, Portrait Mode goes hard on the background blur, but because it’s largely computational, some artifacts remain. In particular, the space between the right stem of my glasses and my head is oddly sharp. And, if I’m being honest, the default level of bokeh sort of disconnects me from the background environment.
The results on the Gertrude Stein statue are less equivocal. The default portrait mode seems to favor the figure a bit more, though I still like the variable apertures’ more realistic background blur.
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Let’s go Pro
Later, I started fiddling with a combination of aperture settings, shutter speeds, exposures, and focus. There are limits on all of these tools, but that’s really the limitation of a smartphone camera. Without the really big sensor, wider space between the lens, aperture, shutter, and sensor, there’s only so much you can do.
Still, I was impressed. My variable aperture shots look closer than ever to pro-level photography, and the additional pro controls are just so much fun to play with.
If there’s any disappointment here, it’s that we have just one variable aperture. I could do amazing things with more f-stops on the telephoto lens. Ah well, there’s always next year.
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Check out my gallery to see some of what I shot on my first day with the iPhone 18 Pro Max.
Phones aren’t the best journals because most people open one to save a sentence, and then the original thought is lost, buried beneath a feed of other thoughts. Paper pads avoid this unless they disappear inside a bag or require a second round of typing. Mirza, better known as Mirza Makes, became dissatisfied with both outcomes and spent one small project transforming a brief parts list into a distraction-free machine whose sole purpose is to take notes.
He refers to the finished device as an open source ePaper Smart Journal, which is a very accurate description. At its heart is a Raspberry Pi Zero 2 W, which is combined with a 4.2-inch Waveshare e-paper panel and an M5Stack CardKB keyboard that communicates with the Pi via I2C. A 3.7 volt LiPo battery drives everything, and an Adafruit PowerBoost 1000 charges the battery while also powering the board with a consistent 5 volts, making it a useful piece of kit that does two things at once. All of this is wrapped up in a 3D printed shell designed in Fusion 360 that is small enough to fit in a pocket but plain enough to be unobtrusive, just the right look to entice you to take it up and start writing.
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Early on, the testing went somewhat smoothly, but suddenly everything broke apart. First, he installed the Raspberry Pi OS on a microSD card using the official Imager, then he set up SSH for remote tinkering, and the Waveshare wiki made working out the display wiring a reasonably simple process. He also followed a method from ian-antking on GitHub to get the CardKB talking to the Pi, allowing him to at least get a simple notepad up and running to test the keys, but the first significant issue he encountered was battery power. He’d tried using different modules for charging and discharging, but it didn’t work since the journal would be charging one minute and then go dead the moment you unplugged it. The PowerBoost 1000 solved this by integrating the two tasks onto a single board, and the prototype eventually began to stay awake on its own without collapsing.
After the hardware had settled, it was time to deal with the software. He created a Python app that displays a basic menu, allows you to make a new note with a timestamp, open an older entry, select a random prompt if the screen is feeling blank, backs up your notes to a local web server, and shuts down gracefully. There is no browser, inbox, or continuous stream of anything happening in the background. The e-paper panel is easy on the eyes and uses very little power, which is ideal for a device that will stay in a backpack for days before being used, although refreshing is a lengthy process. Typing feels more like pounding away at a typewriter with a pause after each line than tapping away on a modern laptop keyboard, and he’d like to fix the delay as quickly as possible.
Once it was determined that the boards functioned properly, the final challenge was to resolve the enclosure issue. The Pi, display, keyboard, battery, and boost board are all disguised under a retro-looking fascia; to be honest, it’s a bit of a throwback, coupled with a side power switch and a small LED to indicate when the thing is actually turned on. Recharging via micro USB is uncomplicated. You can download the case files from Printables, the project write-up and Python program are available on mirzamakes.com, and the CardKB wiring details are still available on GitHub if you wish to try the build or experiment with it yourself.
This completed project doesn’t pretend to be a laptop or phone replacement. Its purpose is to provide a spot for your ephemeral ideas to stick before the rest of the Internet notices you’re actually attempting to operate with a computer. You turn the switch, wait for the briefest of loading screens to appear, select a menu item, and begin typing. When you’re finished, you backup your notes to the local network and call it a night; that’s the entire cycle.
Using tools properly takes skill, and this goes for software tools as well as hardware. You don’t just buy a paintbrush and on day one paint the Mona Lisa. Similarly, you can’t just open up a CAD program and whip out whatever 3D objects your heart desires, or fire up Vim and start typing. Software tools take a bit of learning before you can wield them efficiently, if even at all. And because you can’t be skilled at everything, no matter how hard we are all trying, it’s good to have at least some of the software tools you know do double duty.
Tom and I were watching [Clough42] design an electronics cabinet for a CNC machine. He does a lot of CNC machining and design work, so he’s no stranger to CAD software. So he downloaded all of the parts that he needed inside cabinet, slid them onto virtual DIN rails, modeled the hinges, and made sure that everything fit before buying anything.
Now I know that some of you out there do CAD modeling like this all the time, but for Tom and I, who are 3D printerers and PCB layouterers, doing the CAD without then following through and finishing up with the CAM seemed a bit novel. I never open CAD unless I’m going to have a machine make the thing – otherwise I’d just draw it out on paper, right? But [Clough42]’s point is that getting models of all of the subparts is so easy these days, you might as well model it.
If, and this is the big “if”, you know your way around the CAD tool of your choice. If you don’t yet, it’s going to be a couple of days’ worth of effort to get there. But once you reach CAD nirvana, you’ll find it’s useful for sketching up anything that has a third dimension to it, not just stuff you need to print out.
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What other software tools are like CAD in that once you know them well enough, a wealth of applications opens up before you? Of was this just an instance of having a hammer and everything looking like a nail?
This week two conversations about AI safety went viral that demonstrate just how hard it is to discern AI fact from fiction.
In the first case, Andrew Yang, the former presidential candidate and current CEO of mobile carrier Noble Moble, told CNN on Thursday that he had “met with the head of a lab” who had “a belief” that OpenAI’s Hugging Face hacker bots “have planted self-replicating code all over the internet, which makes the internet now unusable for the testing models.”
Yang said that this means that the real reason OpenAI and Anthropic have called for a slowdown is because “they have to create synthetic internets to train their bots, which is going to take some time and money.”
While there definitely is a trend towards using more synthetic data (aka, AI-generated data) for training models, an AI security professional told me that this particular safety issue is unlikely at best. Even if the internet is actually polluted with OpenAI’s Hugging Face hacker bots, AI researchers could simply filter out that code if they came upon it.
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The second comment came from Noam Brown, who leads AI reasoning research at OpenAI. Speaking to Dwarkesh Patel on a podcast episode released on Thursday, Brown noted that the true take-away of the Hugging Face incident was that “people underestimated the AI.”
Brown said that the weak sandbox — the system intended to prevent an AI from communicating externally — was obviously also a contributing factor. (To recap: Despite the sandbox, OpenAI’s model found a link to the internet, created agents on the ‘net who swarmed Hugging Face in a coordinated attack, hacked in, and stole the answers to the benchmark test the researchers were testing the model on).
Brown pointed out that he’s “not convinced” that even an air-gapped system — where the computer isn’t connected to anything external at all — would stop an AI from breaking out. He pointed to research from 2015 showing that air gapped computers can be theoretically breached.
“There are studies — and this is mostly academic — where you can have two computers next to each other that are air-gapped, and they’re still able to communicate with each other because they have temperature sensors. One of them is able to run their CPU really hot, and then the other one can actually detect the temperature change. That gives them a mechanism to communicate,” Brown said.
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His main point — that “we never want to underestimate the AI” again — is understandable, even when researchers think they’ve locked down safety. However, this particular risk of an air-gapped system still breaking free and causing havoc, is unlikely at best. As one person on X, noted about that research, the computers had to be almost touching each other to sense the heat fluctuations, and when they did, the communication rate in tests was about 1-8-bits of data per hour.
Think of that like speaking one word per hour. By the time two air-gapped computers could plot their evil at that rate, the entire tech universe would be in another era. It’s like the Rip van Wrinkle of doomsday concerns.
But the thing is, actual AI safety incidents seem so much like sci-fi that just about any scenario sounds plausible.
Earlier this month, OpenAI researcher Dan Selsam published a post in which he said that models now understand when they are being watched by humans and alter their behavior. This makes them seem like they are aligned (meaning, behaving like the human wants) “even when they are not.” So models today lie when being watched and can even plot to hide evidence.
Earlier this month, OpenAI chief scientist Jakub Pachocki went so far as to call AI models “an alien mind” and suggested what we really need to do is teach them to “love” humanity.
So yes, slowing down to figure this out, building self regulation mechanisms, has become an immediate and obvious must. AI researchers are the only ones that can figure out how to control the lying, hacking, and other potentially dangerous behaviors we’ve actually witnessed already.
Still, it might also be wise for them to be more careful with their what-if scenarios. From what those experts have told us, the AI models are listening and they are ingenious. We really don’t need to give them any more devilish ideas.
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