Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.
ai + ml
The underlying technology is real…and borrowed from a partner the company failed to mention
A San Francisco startup best known for its AI-generation software is making a bizarre leap into medical imaging, and trying to says it hopes draw curiosity-seekers into its new spa to get scanned.
On Wednesday, Midjourney announced the establishment of Midjourney Medical, which it admitted was a bit out of left field. To promote the tech, it claims to be opening a spa in San Francisco where guests will be able to step “into a shallow pool of golden light,” before being lowered into a tank where ultrasound sensors bombard their bodies in order to take a scan that AI pieces together into MRI-like images. This sounds like the plot of a cheap sci-fi movie, but there is some real science behind it.
“As you descend into the water, hundreds of thousands of tiny elements take turns, sending out waves, listening together, compressing and then streaming data to a massive cluster where thousands of computers split the task,” Midjourney explained in the announcement. “By looking at how the shapes of all the waves change, we reconstruct a detailed map or ‘image’ which basically lets us figure out what’s in there.”

That “basically” isn’t exactly reassuring when Midjourney says it wants to have 50,000 or more of the things deployed around the world by 2031 “with a total scanning capacity of a billion scans a month” for use as a preventative health tool. It’s not clear how fast the process is with the prototype unit, but Midjourney said its goal is for the whole thing to take around a minute.
“We think it’s completely possible that with enough early imaging in the future, the world could avoid 30% of all deaths and 50% of all healthcare costs,” the company added.
According to a “technical” video included in the announcement, there’s a ring of 40 scanners included in the prototype unit the company has built. That ring of 40 elements contains 358,000 ultrasonic elements made up of tiny transducers that create ultrasound waves in water while listening for how they change when they slap the body of whoever is in Midjourney’s dunk tank up to a thousand times a second.
The Midjourney Scanner, as the company has named it, can capture tissue details up to half a millimeter, which is on par with standard clinical MRIs, but pales in comparison to the resolution of more advanced designs.

Midjourney said its scanner is the first of its kind ever constructed, but the technical video says it relies on Fullbody Ultrasound Computational Tomography (FUCT, or USCT, as the industry has taken to calling it to avoid the more questionable acronym). That’s not new. Fast, full-body ultrasound scanning that requires patients to be submerged in a water tank has been an active project at Caltech based on a research paper from earlier this year.
Same goes for the sensors Midjourney is including in its scanner. You wouldn’t know that from reading the announcement, which makes it seem like this was a project entirely of Midjourney’s own AI fever dreams, but ultrasound tech firm Butterfly Network was compelled to issue its own press release “following Midjourney’s public announcement” in order to “provide commentary” on the AI outfit’s new venture.
Butterfly confirmed in its release that it provided the 40 ultrasound imaging modules for the Midjourney Scanner. The hardware was “licensed under a co-development agreement between the two companies,” according to Butterfly. According to a 2025 SEC filing, Butterfly expects to rake in $74 million over five years for providing the hardware.
There’s some irony in Midjourney’s failure to mention its partner: The company has faced lawsuits claiming it used copyrighted works without permission to train its AI image generation model.
We reached out to both companies to learn more. Midjourney didn’t respond, and Butterfly declined to add anything beyond what was in its press release.
Midjourney said that it’s planning to open its first ultrasound scanner spa at the end of 2027, but it has another hurdle to jump: FDA approval. Beyond improving its tech so that the second-generation scanner is ready for its 2027 spa date, “regulation is the next limit,” the company said.

“Normally, for every diagnostic medical capability you need FDA approval,” Midjourney explained. “We’re starting by just giving you detailed body composition maps — and we’ll be submitting regular test results to the FDA for increased capabilities.”
Midjourney also fails to mention how it will store and secure those scans, whether it will use said scans to train its body composition-detection algorithms, and how it’s ensuring those algorithms get things right that it usually take a human a few years of education and training to learn. ®
Recently I placed an empty cardboard box in the center of my preschool classroom of 4-year-olds. No label. No instructions. No purpose given. A few years ago, that simple box would have instantly transformed into something magical — a castle, a race car, a pirate ship, a cozy home for tiny animals. Instead, my students stood around it, waiting. One finally asked, “What is it supposed to be?”
In that moment, I realized something deeper than a simple change in play had occurred. When a box is no longer a castle, it isn’t just imagination that is missing, it is wonder. And in a world filled with screens, schedules and endless stimulation, wonder no longer appears on its own. It must now be intentionally restored.
Hema Khatri

Children today are just as bright, curious and capable as ever. What has changed is the way they engage with the world. Many of my students now hesitate to begin open-ended play without direct instruction. They wait for something to be defined for them instead of defining it themselves.
I often see children repeating lines from television shows or mimicking characters from online videos instead of creating their own stories. The pause before pretend play is longer. The ideas come slower. The confidence to imagine feels weaker.
This is not a sign of laziness or lack of intelligence. It is simply a reflection of the environment they are growing up in, one that is fast paced, highly structured and heavily influenced by screens. When children spend more time consuming content than creating it, the part of the brain responsible for imagination gets less opportunity to grow. Like any skill, imagination weakens when it is not practiced regularly.
Technology is not the enemy. Screens can teach, connect, entertain and inform. Many children learn letters, numbers, languages and songs through digital tools. But when screens begin to replace play instead of supporting it, something essential begins to disappear.
Screens provide ready-made worlds: characters, voices, sounds, colors and stories are already created. There is nothing left for the child to imagine. They move from being creators to being viewers.
In the past, boredom often led to creativity. A child with “nothing to do” would invent something. A stick became a wand. A blanket became a cape. A cardboard box became a castle. Today, even a few seconds of boredom is quickly filled with a device.
The silence that once gave birth to imagination is replaced by noise, movement and constant stimulation. Over time, children become more comfortable being entertained than entertaining themselves. Wonder does not disappear; it simply falls asleep.
Imagination is not just child’s play. It is essential to development. When children pretend, they practice:
communication and language
emotional expression
empathy and understanding
planning and problem-solving
cooperation and negotiation
confidence and independence
Wonder teaches children how to think, not just what to think. In a world that demands creativity, adaptability and emotional intelligence, imagination is not optional. It is foundational.
The responsibility to protect imagination does not belong to teachers alone. Nor does it belong only to parents. It lives in the space between them.
Restoring wonder in children requires partnership. When home and school move with the same intention, magic begins to return. Children feel safe enough to imagine freely again. Imagination does not return because we demand it. It returns when the adults in a child’s life agree to protect the space for it together. Here are simple yet powerful ways families and educators can work together:
Make space for unstructured play. Children need time with no agenda, no instructions, and no screen. Even thirty minutes a day can make a difference.
Offer open-ended materials. Boxes, fabric, paper, paint, blocks, tape, water, and natural items invite imagination far more than expensive, pre-designed toys.
Let boredom exist. When a child says “I’m bored,” it is not a problem to fix. It is an invitation to imagine. Instead of offering a screen, try asking: “What could you do?”
Ask open-ended questions. Instead of correcting, wonder with them: “What is this becoming?” Who lives here?” “What happens next in your story?”
Create screen-free moments. Choose a time each day when screens are put away. Protect it as imagination time.
Communicate across home and school. A simple conversation with the teacher helps: “What is my child interested in lately?” “What do you see them creating in class?” “How can we support that at home?”
The world is louder now. Faster. More digital than ever before. But a box is still a box. A child is still a child. And inside every child, a castle is still waiting to be built.
Wonder is not gone. It is waiting.
Waiting for silence. Waiting for time. Waiting for trust. Waiting for space.
Perhaps the real question is not what children have lost, but what we, as adults, are willing to return to them. And maybe the moment we choose to slow down, to listen, and to leave a box unlabeled, we will begin to see castles rising again.
Hema Khatri is an early childhood educator in Michigan and a TEACH scholarship recipient currently completing her bachelor’s degree in education. Her work centers on social-emotional learning, family partnerships and nature-based, child-led approaches.
Adobe is making one of its biggest bets yet on AI-powered creativity. The company has announced a major expansion of its creative agent across Firefly and Creative Cloud, introducing AI assistants capable of handling complex, multi-step workflows across applications, including Photoshop, Premiere Pro, Illustrator, InDesign, and Frame.io.
The move positions Adobe’s AI agent as a central layer connecting every stage of the creative process, from brainstorming and content generation to editing and final production. Rather than simply generating images or text, Adobe’s vision is to create an assistant that can understand a creator’s goal and execute a series of actions across multiple tools.
According to Adobe, creators will be able to describe what they want to achieve in natural language while the AI handles repetitive tasks behind the scenes. The company says the goal is to let creators spend less time on technical workflows and more time focusing on creative decisions.
Adobe is also expanding the capabilities of Firefly, its AI-powered creative platform, with several new tools aimed at creators, marketers, and small businesses.
One of the biggest additions is AI-powered brand kit generation. Users can describe their brand style, colors, and identity, and Firefly will automatically generate logos, color palettes, and branding assets that can be reused across projects.

The platform can also create short product videos from static images, automatically edit clips into rough video cuts, generate storyboards from ideas, and even turn those storyboards into videos.
Adobe is also previewing a redesigned Firefly creative AI studio experience that combines content generation and editing within a single workspace. The new experience introduces “Elements” and “Projects,” allowing creators to save characters, locations, objects, and other assets for reuse across multiple projects while maintaining visual consistency.
The upgraded Firefly experience is currently available in private beta through a waitlist.
Beyond Firefly, Adobe is embedding AI assistants directly into several Creative Cloud applications.
In Photoshop, users can request actions such as replacing backgrounds, resizing assets for different platforms, or organizing complex layer structures. Illustrator users can automate repetitive production tasks such as creating multiple design variations, reorganizing layers, and checking files for print issues.

Premiere Pro’s AI Assistant focuses on video workflows, helping editors organize footage, rename clips, identify interview segments, place markers, and even assemble rough cuts automatically.
InDesign users can apply branding updates across layouts, while Frame.io gains AI tools for managing creative assets, tracking feedback, and organizing project revisions.
Adobe says the expansion reflects how creators are increasingly embracing AI in their workflows. According to the company’s latest creator survey, 75 percent of creators now consider AI an important or essential part of their work. However, 85 percent also believe the final creative decisions should remain in human hands.
That philosophy appears central to Adobe’s strategy. Rather than replacing creators, the company wants its AI agents to function as creative collaborators that handle the busy work while leaving artistic judgment to the people behind the projects.
The Gentlemen ransomware-as-a-service (RaaS) is actively developing and maintaining a suite of endpoint detection and response (EDR) killers to help affiliates evade detection in attacks.
The gang employs a collection of EDR-killing tools, most notably a utility that researchers dubbed GentleKiller. The tool has at least eight variants and impersonates various legitimate security products, including Kaspersky, Valorant, Javelin, and WatchDog.
The gang is using a suite of EDR killers, the most frequently used being a custom tool that researchers named GentleKiller, which has at least eight variants impersonating various legitimate products.
An EDR killer is typically used to disable defenses in the early phases of an attack, and in ransomware incidents, they ensure that data theft or encryption processes run unencumbered.
These tools work by leveraging the ‘bring your own vulnerable driver’ (BYOVD) technique to elevate privileges and disable security engines.
According to ESET researchers, each GentleKiller variant uses different vulnerable drivers to achieve kernel-level privileges. However, they all share common strings, identical code obfuscation techniques, and similar process-killing logic and targeting scope.
The analysis of the variants indicates that the framework is designed to allow easy driver swaps or weaponization of newly disclosed flaws without requiring major code changes.

ESET states that GentleKiller targets more than 400 processes associated with approximately 48 security vendors/products, such as Microsoft, CrowdStrike, SentinelOne, Palo Alto, Sophos, Trend Micro, ESET, Bitdefender, McAfee/Trellix, and Kaspersky.

The binaries for the EDR killer tool are protected by the commercial Enigma and Themida packing and code-protection tools. ESET notes that the threat actor also uses stolen digital signatures from legitimate software, although they are invalid.
Although GentleKiller is a standardized tool used in Gentlemen ransomware attacks, ESET reports that the threat group’s collection of EDR killers also incorporates at least three external tools:
Gentleman RaaS may have added them for redundancy, attribution complexity, or for use in specific cases where the effectiveness of GentleKiller might be limited.
Additionally, ESET documented the use of OxideHarvest, a Rust-based credential-stealer tool that the researchers believe, based on the programming language choice, was developed externally.
The researchers’ analysis indicates that Gentlemen ransomware picks targets based on the configuration of their FortiGate endpoints. This is particularly interesting given the recent discovery of “FortiBleed,” a collection of nearly 74,000 FortiGate VPN credentials.
The Gentlemen RaaS previously compromised the Romanian energy provider Oltenia and has been linked to a SystemBC proxy malware botnet with over 1,570 hosts, believed to be corporate victims.
Security teams log 54% of successful attacks and alert on just 14%. The rest move through your environment unseen.
The Picus whitepaper shows how breach and attack simulation tests your SIEM and EDR rules so threats stop slipping by detection.

Long trips into the backcountry or extended stays at a campsite often hit the same wall once phones, laptops, and cameras start running low. Most standard power banks simply run out of capacity or lack the wattage to charge current electronics at a reasonable rate. Jackery designed the Explorer 240D, priced at $129 (was $179), to tackle just those scenarios, with a focus on real-world portability and convenience.
The unit has an impressive 256 watt-hours of energy stored within it, but it weighs only 4.85 pounds. That means it has the power of several ordinary power banks combined, all wrapped up in a compact body that fits easily into a backpack or the side of a vehicle. One of the reasons it’s so svelte is that it lacks a traditional AC inverter, so it’s lighter and smaller than comparable models with wall outlets.
Sale
A thick braided USB-C cable links directly to the unit while also serving as a high-power charging line and carrying handle. This means that users can take the unit by the cable and sling it over their shoulder, or clutch it while moving between the tent and the picnic table, eliminating the need to hunt around in the backpack for the proper cord at the wrong time. At 140 watts, the connection can sustain fairly demanding devices such as laptops without ever being a limiting issue.
Three USB-C ports and one USB-A port are lined up on the front panel, and they can deliver a total of 200 watts of electricity at once. That means a laptop can charge swiftly from one port while phones and tablets continue to charge without noticeably slowing down. There’s a little front display that shows you how much power you have left and how long it will last, allowing you to plan the rest of your day.

Recharging the unit is rather flexible, providing a wide range of scenarios that you may encounter on the road or trail. Dual-input AC charging can charge it from empty to 80 percent in roughly an hour, with the extra benefit of being able to charge gadgets at the same time using the pass-through feature, but if you’ll be off-grid for an extended period of time, you can also utilize solar input to recharge the unit’s battery. If you’re on the go, vehicle charging makes it simple to recharge between destinations, or you may connect it to another power source via USB-C.

If you intend to use it for camping, the 240D is an excellent choice because it can easily recharge a laptop many times, keep your phone and tablet charged for days on end, power your camera or drone during a shoot, and even support a Starlink Mini for extra connectivity. It’s all thanks to the LiFePO4 battery inside, which can withstand high temperature swings, which is useful because the device is frequently left lying in a tent overnight or riding around in a truck bed during shoulder seasons. Combine that with some solid safety measures and a lengthy cycle life, and you should expect the battery to last for years of frequent usage.
Most singles looking for love aren’t interested in building a romantic connection with an AI chatbot.
A new study from Match Group, the dating company behind popular dating apps like Tinder and Hinge, found that nearly half (47%) of the roughly 1,000 people ages 18-39 it surveyed “view AI in romantic contexts negatively.” And it’s a hard pass for most singles if you’re interested in AI companion apps, like Kindroid and Replika. Two in five singles aged 18 to 39 refuse to date someone who uses these apps, including over half (51%) of women aged 18 to 24, according to Match Group’s findings.
Finding love with AI can be tricky, whether you’re using AI to keep you from saying the wrong thing to a new connection, spruce up your dating profile or act as your soulmate to help you practice for the big moment (which we don’t advise, more on which below).
Despite all the ways you can use AI on the dating scene, singles have some serious concerns. Most singles in the survey said they use AI for everyday productivity tasks, but when it comes to dating, the bots can’t tag along for the ride. Most want purely human connections.
AI is creeping into personal relationships more than in the past. Imagine going to ChatGPT to decide who is right in an argument with your spouse. Or even dating a bot. It’s not far-fetched when there are AI apps that resemble personal relationships. Some even have avatars.
The Match Group survey found that dating an AI bot is a no-go for singles — 4 to 1 opposed. The survey found that only 12% of singles have tried companion apps in the past three months — mainly to try something new, not as a substitute for finding love. Most used them for boredom and entertainment (45%), and roleplay and simulation (43%). Fewer used AI to build a genuine connection (38%) or process emotions (26%).
Instead of relying on bots, singles are getting advice from friends and family (60% respectively), whereas only 20% are using AI. That’s not surprising, considering a study published in March in the journal Science found AI is more likely to agree with you and less likely to help with things like repairing relationships. The study shows you may depend on AI more instead.
Michael Salas, a relationship therapist, agrees that seeking advice from family and friends rather than AI is a better move. Salas tested using AI on a complicated situation he was having with a friend, and the bot’s response may surprise you.
“It told me this friend clearly didn’t care about me. Verbatim, it told me this,” says Salas. “This wasn’t something I was even questioning, and I know it was wrong. When I told it that, it immediately course-corrected, told me I was right, and shifted to a new framework. That’s not wisdom.”
Salas advises being careful when using AI in dating. “I think you really have to be careful because it will take liberties and give advice that is incorrect or unwarranted. Save that for actual people who know you. Ask them instead.” Instead, Salas recommends using AI for editing and generating ideas, like ways to show someone you care — not as a substitute for humans.
Match found that most (74%) singles ages 18 to 39 use AI tools, such as ChatGPT, regularly. And 69% use AI for productivity tasks like summaries, problem solving and writing content. Most find their use of AI positive across several use cases. But not when it comes to finding love.
There are some exceptions. Over half (64%) can see AI helping them find love, like helping keep a conversation going and building a stronger profile (27%), starting a conversation (26%) and planning a date (27%). Some AI features already lean toward those preferences, like Tinder’s AI-powered matching to get connection suggestions based on your interests and camera roll (if you allow it). And there are date-planning apps, like the Date Idea Generator and My Spicy Vanilla. And Hinge debuted Convo Starters to ease the pressure of sending the first message.
It all still boils down to how comfortable singles feel about using AI to help with matchmaking. Based on Match Group’s survey findings, the percentage using AI assistance remains below half across many use cases, making it clear that most people don’t want bots meddling in their love lives.
It’ll be interesting to see how Match Group alters or creates AI features for its dating apps in the future based on these findings and how singles respond. Match Group didn’t immediately respond to a request for further comment.
Security researchers have published a new unpatchable SecureROM exploit for Apple’s A12 and A13 chips, extending public BootROM exploitation beyond the devices affected by checkm8.
Security firm Paradigm Shift disclosed the unpatched exploit, called usbliter8, on June 18. It achieves code execution through a flaw in Apple’s USB boot process.
The vulnerability affects devices powered by Apple’s A12 and A13 chips, including the iPhone XS, iPhone XS Max, iPhone XR, and iPhone 11 lineup. Several iPad models and Apple Watch devices powered by S4 and S5 chips are affected as well.
While the issue focused on devices like iPhones, iPads, and Apple Watches with DFU mode the Studio Display, HomePod mini, and second-generation Apple TV 4K are technically also using these vulnerable chipsets. There’s also mention that A12X and A12Z could have technical support for this issue, but isn’t implemented, so those 2018 and 2019 iPad Pro models could also be included here.
Usbliter8 combines a hardware flaw in a USB controller with the way security protections are configured on affected devices. The attack works through Device Firmware Update mode, better known as DFU mode.
Successful exploitation gives researchers control before iOS even starts loading. The exploit also enables boot-chain compromise and custom USB request handling.
The exploit can boot modified iPhone software that wouldn’t normally be allowed to run. Paradigm Shift’s reporting is serious because the vulnerability exists in SecureROM, the first code that runs when an iPhone starts up.
SecureROM verifies Apple’s software before the rest of the operating system loads and serves as the foundation of the device’s security model. Apple can patch flaws in iOS, iPadOS, and watchOS through software updates.
The code is built into the chip itself and can’t be replaced after manufacturing. Affected devices will remain vulnerable unless users replace them with newer hardware.
Usbliter8 doesn’t affect A14 chips or newer generations because later versions of SecureROM appear to configure hardware protections differently. A11-based devices also avoided the vulnerability because their USB driver resets memory addresses in a way that prevents the attack.
Apple’s security architecture checks each stage of the startup process before handing control to the next one. A successful SecureROM exploit can bypass some of those checks and gain access at the earliest stage of device startup.
SecureROM code can’t be updated after manufacturing, so access gained through usbliter8 can survive software updates, device restores, and firmware revisions. Persistent access at the SecureROM level separates usbliter8 from a typical software vulnerability.
The exploit doesn’t give attackers unrestricted access to user data. Apple’s Secure Enclave Processor remains separate from the vulnerability and provides an additional security boundary.
The correct register values overwrite the ones the researchers corrupted. Image credit: Paradigm ShiftUsbliter8 doesn’t directly compromise the Secure Enclave. The exploit could still expand the range of attacks available against other parts of Apple’s platform.
The exploit also faces practical limitations. Researchers must have physical access to a device and use USB connectivity and DFU mode to carry out the attack.
The disclosure draws comparisons to checkm8, the SecureROM exploit that affected Apple devices powered by A5 through A11 chips. Checkm8 became one of the most influential iPhone exploits because it targeted immutable BootROM code and can’t be patched through software updates.
Like checkm8, usbliter8 targets the earliest stages of Apple’s boot process. The exploit also can’t be fully fixed through software updates.
Apple hasn’t faced a public BootROM exploit affecting A12 and A13 devices since checkm8 targeted earlier hardware generations. Usbliter8 changes that with a working exploit for both chip families.
Much of the technical paper focuses on techniques used to bypass security protections on newer Apple hardware. Those efforts ultimately led to successful code execution on supported devices.
Public SecureROM exploits affecting A12 and A13 devices have been rare, making usbliter8 a notable addition to Apple’s security history.
Paradigm Shift disclosed the findings to Apple Product Security before publication and coordinated the release with Apple. Apple hadn’t publicly commented on the research at the time of publication.
The practical risk from usbliter8 remains limited because the exploit requires physical access to a device and the use of DFU mode over USB. Most users are unlikely to encounter that threat model during normal use.
Installing security updates, using a strong passcode, and avoiding unattended devices won’t patch the SecureROM vulnerability. The measures can still make it harder for an attacker to gain the physical access required to exploit usbliter8.
Users concerned about long-term exposure can reduce their risk by upgrading to hardware powered by Apple’s A14 chip or newer. The exploit described in the research does not affect those devices.
Some of the SpaceX investors on Kahlon’s ledger are easy to identify: the Indian politician Abhishek Singhvi; Betsy DeVos, the former US secretary of education; a British Virgin Islands company owned by Indonesian billionaires. But others on the list are shell companies whose ultimate owners remain hidden.
One such company is a Delaware LLC called HAL9001 Partners Fund I, which invested roughly $10 million in a SpaceX fund in 2020. The incorporation documents for HAL9001 were signed by the venture capitalist Roman Sobachevskiy. The Treasury Department recently fined a company that was co-owned by Sobachevskiy hundreds of millions of dollars for managing a different investment on behalf of a sanctioned Russian oligarch. Sobachevskiy has not been personally accused of wrongdoing.
A Tomales Bay Capital spokesperson said that the oligarch “had no involvement with the investment.” Sobachevskiy did not respond to questions, including who put up the money for the SpaceX investment.
The records also shed some light on the connections between SpaceX and Qatar. Funds affiliated with Bracket Capital—an investment firm with offices in Los Angeles, London, and Qatar—invested about $48 million through a series of deals from 2017 through 2020, the documents show. Bracket has money from the Qatari royal family, according to an email that Kahlon sent to SpaceX’s CFO. The ledger also lists Doha, Qatar, as the address for a mysterious entity called AM FIG Cayman Limited, which invested around $10 million in 2020.
The documents do not specify whether the Bracket investments were made on behalf of the royal family or some other client. In 2021, as Kahlon was soliciting backers for yet another SpaceX deal, he texted a Bracket employee: “At the end we can just send Yalda to talk to big guy. We need a bail out lol.” (Yalda Aoukar is Bracket’s co-founder. It’s unclear whether the “big guy” refers to a member of the royal family and what Kahlon meant by “a bail out.”)
Bracket did not respond to requests for comment.
The investments covered in the ledger were tiny percentages of SpaceX but would have generated windfalls. The company’s valuation has exploded in recent years, from $33.3 billion in 2019 to $2.7 trillion as of Wednesday morning.
Last year, ProPublica reported on SpaceX’s unusual approach to accepting money from Chinese investors. According to testimony from the Delaware case, the company allowed Chinese investors to buy stakes in SpaceX so long as the money was routed through the Cayman Islands or other offshore secrecy hubs.
ProPublica is a Pulitzer Prize-winning investigative newsroom. Sign up for The Big Story newsletter to receive stories like this one in your inbox.
Security firm Sentinel One has a deeper dive into CVE-2025-20701 here.
Heinze and Steinmetz said last year that the full chain of attacks gave attackers the ability to do other malicious things, including retrieving call history and contacts, and even calling arbitrary numbers. Many of those capabilities are dependent on the specific devices being paired, since the functionality built into them differs from platform to platform.
Devices affected by the Airoha vulnerabilities are by no means alone. In January, researchers disclosed WhisperPair, a series of vulnerabilities that allows an attacker to hijack Bluetooth devices connected through Google Fast Pair, a proprietary protocol belonging to the company. Besides eavesdropping, attackers can exploit the WhisperPair flaws to geolocate devices. The vulnerabilities affect more than a dozen devices from 10 manufacturers, including Sony, Nothing, JBL, OnePlus, and Google itself.
There are few, if any, reports of Bluetooth vulnerabilities like these being actively exploited in the wild. The complexity of such attacks is often high, and an attacker has to continually stay within Bluetooth range of a target while utilizing the exploit. People who think they may be targeted by such attacks should turn off Bluetooth in devices whenever they’re not needed, and remain aware of the risks when Bluetooth is enabled.
If you live long enough, you’ll wake up one day and find that you’re living in a world you no longer understand. Lately there are things happening with AI in a couple of disparate parts of Amazon that brought that lesson home in a big way.
The first is that, late last year, they acquired Bee, an AI wearable that is distressingly, upsettingly good. The second, which I want to talk about today as I fly back from AWS’s NYC Summit, is Quick Desktop. The best way to describe this is “Enterprise OpenClaw in a polished app.”
Yes, I know this sounds like I’m being blackmailed. Read on.
Amazon has spent the last three years breathlessly telling us that they’re a leader in AI, then shipping products which make it clear that they’re unsure what leadership looks like. They’ve spent far longer building user interfaces that carry a design aesthetic of “complete crap.” Even Amazon’s website, where you buy everything from underpants to chainsaws to dog food to more underpants, is not a well-designed interface; we’ve all just learned to live with it.
The single good interface to come from Bezos and Coo was the Kindle e-reader: push a button, the page turns. And then they removed the buttons. So yes; “We’re launching a desktop AI assistant” is the exact opposite of encouraging coming from these folks.
It started like you’d expect. You pop over to the download page and grab the download. On a Mac it’s half a gigabyte because of course it is; this is totally normal and fine in 2026. Install it, fire it up, and … wait a bit. It has to think, and gather its wherewithal before it can get to work.
And then the hits start coming.
I had talked to people who have used this and raved about it. The problem here is that all of these people work at Amazon, and the current state of the product reflects that. They have a single identity provider they use internally; external users see a confusing array of offerings, each with its own byzantine flows. The feeling is not dissimilar to waking up in the middle of a hedge maze, with no idea how you got there, and discovering that someone just set it on fire.
At one point during my time using Quick Desktop, I was logged out and had to log back in. After guessing seven different identity providers, I gave up and emailed the service team for help with this. After some back and forth, I was able to get back in. (GitHub! Future Corey, if you find yourself in this situation, you authenticated via GitHub!) It’s clear that the people building this service aren’t living the external user experience. It’s why I maintain that Amazon’s internal AWS account management tool is the service that I hate the most; it separates the people building AWS from the customers using it.
At the moment, other similar challenges show up. You’d never have more than one email account from the same provider, right? (Google Workspace in my case, provided it hasn’t been deprecated by the time this article goes to print.) You’d never have business conversations via iMessage, or Signal, or LinkedIn DMs, or any number of other services, right?
The point isn’t the snark; it’s that Quick Desktop only knows about the channels its connectors deign to support. Every deal I’ve ever closed in a LinkedIn DM, every favor traded over Signal, every “hey, quick question” that arrived via iMessage is simply invisible to it — but it makes its confident little suggestions anyway, blissfully unaware that a good chunk of my professional life happens in places it can’t see. Here’s a free hint to the product team: do you think I mentioned the Bee in the opening of this article because I’m making a fashion statement?
Once you prove yourself worthy by getting Quick Desktop set up, it … sits there without doing much. It has a chatbot interface, which surely you’ve never seen before in an app, backed by a personality I’ll call “Uninspiring Accountant.” What was the point?
And then things start to happen.
Your activity feed starts surfacing things from your email. From Slack. From your calendar. I don’t know about the rest of you, but my email inbox is where tasks and hope go to die.
Slowly but surely, Quick Desktop starts making suggestions, surfacing things that you should handle, proposing email drafts (ugh, in such a bland corporate voice; I hope this email finds you before I do), and giving you quick links to the various apps where these things live so you can see the context it’s surfacing.
I went in skeptical, partly because I’d already cobbled together a janky version of this for myself by pointing Claude Code at a pile of APIs, so I had a decent sense of what these things miss.
And that’s when I became a Quick Desktop convert: it flagged an email buried forty messages deep in my inbox that I’d mentally filed under “dealt with” – but very much was not. My own inbox had given up on me like everyone who’s ever tried to love me, but Quick Desktop hadn’t.
This is an Amazon product, and it’s pretty clear that they expect you to work with Quick Desktop the way they reportedly work with their own employees: by beating them into compliance. Their own custom connectors and (lack of) extensibility system make it pretty clear that there’s a corporate IT department somewhere that’s configuring and getting this set up for folks. I freely admit that’s not my use case; I’m testing this by myself, not sharing it with my colleagues.
But the product is improving. Today, it doesn’t really sync data or state between multiple machines; we’re still waiting for Amazon to discover this whole “cloud” thing. That’s almost certainly going to change in the near future.
Along with the just-announced AWS Context approach, once you have a team of people using it, the shared knowledge graph it can build about your entire organization promises to be a significant boon.
That same knowledge graph is also a massive security treasure trove: every deal, every org-chart grudge, every “please don’t forward this,” every “how do I do the basic functions of my job” chat sessions, lives in one queryable place. Handing that to a vendor terrifies me. It should terrify you. And yet Amazon is one of a vanishingly small number of companies I’d trust with it.
I want to acknowledge how strange it is that I just wrote that. I have spent a decade as a professional thorn in this company’s side. I have a financial incentive, a personal brand, and frankly a temperament that all point toward not trusting AWS with so much as my lunch order. But credit where it’s due: whatever else they get wrong, Amazon takes security and data privacy deadly seriously, and they have the scars and the org structure to prove it. I have lived through this multiple times, and I’ve seen what AWS does when security competes with other pressures. The list of companies I’d let build a map this detailed of my business is damn short, and most of the names on it are not the ones building these products.
They have the security chops, but they have a completely different massive marketing problem. How do you get customers to try this out when you’ve incinerated your credibility in this space like it’s your engineering team’s token budget? “For once we have a product that is not shite,” while honest, is probably going to be tricky to get through AWS corporate comms.
Reader, I pay cash money for this.
Everything I’ve said above about its sharp edges are true, and I’ve barely gotten started. I have three pages, ten slides, and one interpretive dance full of “here’s why the product sucks” feedback I’ll be giving to their product team, who are going to be astounded when I bust into their office uninvited. But I’m not throwing stones from the sidelines on this: “I am a paying customer, and I want this thing I pay you for to be better than it is, so you will listen to every goddamned word I have to say” is a powerful message, and one that’s particularly resonant to Amazonians.
I can see a world in which I roll this out to the rest of the company. My Claude Code contraption is interesting and in some ways more capable, but it scales precisely as far as “grumpy former sysadmin with a penchant for the CLI” and not one inch further. Our team would justifiably revolt if I tried to inflict it upon them. The hell of it is, the only thing that Amazon has to do to get Quick Desktop to beat my Frankenstein setup is “let Quick configure itself.” Yes, there are problems with that approach; I leave them to Amazon to sort through.
And so… I don’t entirely know what to do with myself in a world where suddenly Amazon is shipping desirable AI products that I’m happy to pay for. First the Bee wearable and now this. That’s two data points, and for a company whose AI track record reads like a list of things to apologize for, two data points is alarmingly close to a trend. Their biggest problem is going to lie in outrunning their own shadow, and changing their own nature. I used to be confident they couldn’t. I’m less confident now, and I’m not sure how I feel about that. ®
Midjourney is expanding beyond AI image generation with plans for a medical-imaging business built around a water-based, full-body ultrasound scanner that uses hundreds of thousands of sensors and AI to reconstruct MRI-like images. “As you descend into the water, hundreds of thousands of tiny elements take turns, sending out waves, listening together, compressing and then streaming data to a massive cluster where thousands of computers split the task,” Midjourney explained in the announcement. “By looking at how the shapes of all the waves change, we reconstruct a detailed map or ‘image’ which basically lets us figure out what’s in there.” The company hopes to open a San Francisco scanning “spa” in late 2027, with 50,000 or more deployed around the world by 2031. The Register reports: It’s not clear how fast the process is with the prototype unit, but Midjourney said its goal is for the whole thing to take around a minute. “We think it’s completely possible that with enough early imaging in the future, the world could avoid 30% of all deaths and 50% of all healthcare costs,” the company added.
According to a “technical” video included in the announcement, there’s a ring of 40 scanners included in the prototype unit the company has built. That ring of 40 elements contains 358,000 ultrasonic elements made up of tiny transducers that create ultrasound waves in water while listening for how they change when they slap the body of whoever is in Midjourney’s dunk tank up to a thousand times a second.
[…] Midjourney said that it’s planning to open its first ultrasound scanner spa at the end of 2027, but it has another hurdle to jump: FDA approval. Beyond improving its tech so that the second-generation scanner is ready for its 2027 spa date, “regulation is the next limit,” the company said. “Normally, for every diagnostic medical capability you need FDA approval,” Midjourney explained. “We’re starting by just giving you detailed body composition maps — and we’ll be submitting regular test results to the FDA for increased capabilities.”
Midjourney also fails to mention how it will store and secure those scans, whether it will use said scans to train its body composition-detection algorithms, and how it’s ensuring those algorithms get things right that it usually take a human a few years of education and training to learn.
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