ScrollPods is Mac-only, and you’ll need compatible AirPods
HANDS HEAD ON Have you ever felt so lazy that reaching up to scroll on your MacBook’s trackpad was too much work? Yeah, me too – especially with the summer heat blanketing much of the Northern Hemisphere, even reaching my remote corner of the US.
Thankfully, there’s an app for that.
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ScrollPods is a simple macOS app that’s been out since last November but which just came to my attention thanks to a blog post this week from its creator, Ahmed Mohamed, who hails from Austria. It lets anyone with a compatible Mac and supported headphones scroll through webpages, documents, and other scrollable content using nothing but a head tilt. Look down, and the page scrolls down; look up, and your content will scroll back that way. You can continue typing as you scroll.
The idea, Mohamed wrote, was to allow himself to move up and down a document without taking his hands off the keyboard – not as a complete replacement for conventional navigation methods, but as a supplement.
“ScrollPods is not trying to replace the mouse but when it comes to intuitive scrolling, I think it gives traditional scrolling methods like the mouse, scroll wheel, trackpad and touchscreen a good run for their money,” Mohamed wrote. “I enjoy ScrollPods when I’m reading long documents, when my hands are occupied, when I’m drinking an iced coffee or when I simply want to rest my hands.”
With the ScrollPods website stating that the app is free, and its Mac App Store page reporting that it doesn’t collect any data, I decided to give it a shot. Installation was easy. It detected my second-gen AirPods Pro without issue, and we were off to the hands-free races.
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ScrollPods is responsive, easy to use, and isn’t too sensitive, either. It does tend to jump a bit if you slightly move your head, so if you’re fidgety you might want to turn the sensitivity down or enable the feature that automatically pauses the app with a quick tilt of the head.
Speaking of settings, there are a lot of options to get ScrollPods working to your liking. Sensitivity, the threshold at which the app starts to scroll, acceleration speed, and even how fast the scrolling stops can all be tweaked, as can how you actually scroll – if you’d prefer to move content up and down by turning left and right, you can do that, too. You can also reverse the order so that looking up scrolls down and looking down scrolls up, if you’re a crazy person.
It’s also a great accessibility feature, but Mohamed told us that wasn’t his original goal.
“This was initially designed for comfort, I initially came up with ScrollPods because I needed a hands-free way to scroll documents as I was soothing my baby, often stuck in the same position for an hour,” Mohamed told The Register via email, adding that he didn’t want to make an assumption that it would be a significant accessibility product since he’s an able-bodied person. That said, he has heard from a number of people using ScrollPods for accessibility, and the feedback has been positive.
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“Feedback from the accessibility community … has been phenomenal and is also my current main focus,” Mohamed added. “Updates with a bigger emphasis on accessibility will follow.”
As for whether Apple, famous for baking accessibility features into its products, could snipe his idea, he said he’s not entirely surprised it hasn’t happened yet.
“Based on the simplicity, it seems so straightforward,” Mohamed said. “With an original concept, this is part of the game and I can’t influence what another company does.”
If you want to try ScrollPods out, the link is included above. You’ll need a Mac running macOS 14 or newer and a pair of AirPods 3rd gen or newer, or any version of AirPods Pro, AirPods Max, and Beats Fit Pro.
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ScrollPods is free right now, but it might not stay that way – Mohamed said he hasn’t settled on final pricing. “Due to the accessibility element of ScrollPods, I do foresee a free tier,” he told us. ®
Amazon‘s Prime Day sale has delivered another very tempting robot vacuum deal, with the Dreame X50 Ultra dropping to just AU$1,479. That’s a huge discount from its AU$2,999 launch price last year, and well below the usual AU$2,000 price we’ve seen it discounted to in recent months.
It isn’t a budget buy, even at AU$1,479, but this is the lowest price we’ve seen for this robovac so far and, given it scored an impressive 4.5 stars in our Dreame X50 Ultra Complete review, we think it’s worth considering at this price.
This isn’t just another robot vacuum with a mop attached to the rear. The Dreame X50 Ultra is built to be a proper hands-off floor cleaner, with a self-emptying, self-refilling and self-cleaning dock, 20,000Pa suction, extendable mop pads and a side brush designed to reach into edges and corners.
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In our review, the Dreame X50 Ultra was described as setting “a new standard” for the best robot vacuums, with the reviewer praising its cleaning results and low-maintenance design.
The model reviewed was the Complete version, which means it comes with an accessory bundle, but the core robovac and dock is the same X50 Ultra you’ll find in this Amazon Prime Day deal.
(Image credit: Future)
The X50 has a lot of clever features that make it more capable than previous models. Its navigation puck can retract so the robovac can clean under lower furniture, while its small threshold-hopping legs help it clear raised room dividers and other tricky transitions around the home.
Our review also highlights its mopping and vacuuming performance — especially its ability to make use of its extending side brush and mop pads.
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(Image credit: Future)
However, our reviewer found the X50 Ultra’s object avoidance wasn’t always as reliable as expected, and its pet-waste detection needed the right settings to work properly in testing. Despits these shortcomings, it still scored very well in our tests, which is saying something.
If you’ve been waiting for Dreame’s top model to fall to a more tempting price, Prime Day has delivered exactly that.
Microsoft says GigaWiper combines at least 3 malware families into one modular tool
A newly identified destructive Windows backdoor combines ransomware-like encryption with multiple data-wiping features, according to Microsoft.
Last October, the Redmond threat-hunting team first spotted attacks using the Golang-based implant they’ve named GigaWiper.
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Its developers stuffed multiple malware families into the software as on-demand commands, giving criminals a Swiss Army knife of command-and-control (C2) and destructive capabilities, including multiple wiping commands and file encryption without any possibility of decryption.
“The consolidation of multiple destructive capabilities into a modular backdoor reflects a notable shift in wiper malware, which are typically designed purely to destroy rather than to extort and carry real-world consequences,” Microsoft Threat Intelligence wrote in a Thursday blog.
Microsoft declined to answer The Register‘s questions about the scale and scope of GigaWiper attacks.
In the blog, Redmond’s malware analysts said they uncovered two types of GigaWiper samples in victims’ environments, and both are unstripped portable executable files written in Golang.
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One is a standalone wiper that operates at the physical disk level, as opposed to deleting individual files. It overwrites raw disk content, removes partition metadata, and then reboots the system using Windows shutdown functionality with restart and zero-delay.
The second sample is the more interesting one. It includes the same disk-wiping functionality, but that’s just one component of the backdoor. This malware also establishes persistence and sets up C2 communication using RabbitMQ over AMQP for receiving commands from the C2 server, and Redis for updating command status and output.
GigaWiper also organizes its commands into different categories, including “always run” for tasks such as continuous screen recording, “manage command” for system management functions, and separate “special command” and “shell command” modes for executing additional functionality.
These include the standalone wiper command, along with another command that disables Windows recovery, triggers a blue screen of death (BSOD), and leaves the device unable to boot.
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It also has a destructive command based largely on Crucio ransomware. It encrypts files with randomly generated keys that are never saved, which means victim organizations will never be able to decrypt these files.
Another command bulk encrypts or decrypts files with AES-256 in Cipher Block Chaining (CBC) mode, while a different command uses MinIO Client (mc) to upload stolen files to remote storage.
The malware also runs PowerShell commands, takes screen shots and recordings of the compromised device, collects system info, clears Windows event logs, and allows remote control over the system along with keyboard and mouse control – among other capabilities that attackers can use at will.
According to Redmond, GigaWiper combines components from at least three previously separate malware families, including Crucio ransomware, a Go reimplementation of FlockWiper, and a standalone disk wiper.
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“Overall, these findings show the evolution of the actor’s tooling over time,” the security sleuths wrote. “Functionality was merged into a single robust backdoor, granting the actor more ways to control and destroy infected systems.” ®
Samsung’s been playing up its tie-in with new movie Spider-Man: Brand New Day for a while, including its launch of a functional Spider-Man tracking site that mimics the one appearing in the upcoming movie.
While the tracker promotion showed the site running on the screen of a foldable model, in the latest teaser, we can see a bit of the outside, including the profile of the phone’s folded halves when closed. Because it’s Spider-Man, the phone is shown being snatched out of the air by one of his web shooters.
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The Galaxy Z Fold 8, or whatever it will be called, is rumored to feature a new, wider passport-style chassis. The teaser image suggests that might be true, but it also masks the width of the phone with a cleverly placed flare.
The post also links to Samsung’s site, where you can reserve a mystery phone (“your next galaxy device”) before Unpacked in exchange for a chance to win a $500 Samsung gift card and a $30 “gift” that can only be applied to a second device you purchase at the same time.
What holds most people back from adopting smart home technology isn’t usually the availability of features themselves; it is the assumption that you need to be a tech enthusiast or technology early adopter to make the system work.
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The Echo Dot (5th generation) demolishes that assumption completely: plug it in, open the Alexa app on your phone, connect to Wi-Fi, and you are controlling lights, thermostats, and routines with your voice in minutes.
The improvements Amazon made to the fifth-generation Echo Dot matter most in everyday use, where they show up most obviously in how substantially the speaker now handles music and podcast playback throughout your entire home.
Echo Dot’s speaker is audibly richer than previous iterations, with clearer vocals and deeper bass that mean playing Spotify or a podcast through it is genuinely satisfying, not just barely tolerable.
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Pair it with compatible smart bulbs, thermostats, or smart locks, and it becomes the operational centre of a system that learns your patterns and then acts automatically on your behalf throughout the day.
You can even ask for weather updates while making breakfast, set timers hands-free, dim the lights as part of a bedtime routine, or have the heating adjust when the room temperature drops below a threshold you set.
Privacy is genuinely baked in with a dedicated Microphone Off button that physically disconnects the microphones, and at £44.99, the 5th generation of Echo Dot stops being the device you hesitate over and becomes the one you actually buy.
An audio upgrade on the previous model, the Amazon Echo Dot (5th generation) is now a capable music speaker, as well as a great smart speaker for smart home control and general enquiries. Overall, this is the best value smart speaker you can buy, although owners of the previous generation will struggle to justify the upgrade.
Earlier this week, we announced that one way for people to generate images in Meta AI is by @-mentioning public Instagram accounts that they want to reference. Our intent was to provide a useful creative tool and to give people control over whether their…
As more and more people picked up on Meta’s Muse Image and how it assumed you’re okay when someone else used your Instagram pictures as a reference for generating AI pictures, the tool started to face a massive backlash.
Opt-out controls existed for users who wanted to protect their likeness, but the default was in, which meant millions of public Instagram users were enrolled in a system that could generate AI images of them without ever clicking anything to agree.
However, in a statement to Puck News’ Dylan Byers, Meta acknowledges that the feature “missed the mark” and is therefore “no longer available.”
Meta LogoUnsplash
What did Meta say about it?
“Earlier this week, we announced that one way for people to generate images in Meta AI is by @-mentioning public Instagram accounts that they want to reference,” says Meta in a statement to the outlet.
“Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way. We’ve heard the feedback that this feature missed the mark, so it’s no longer available.”
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Byers highlights that the pushback from talent agencies, most notably CAA, one of the largest in the entertainment industry, could have played a major role in rolling the feature back.
While I would have argued that turning it off by default for all Instagram accounts and allowing experimental users to opt in would have been the right approach, the feature is gone, and I beleive it’s for good.
A Molniya drone struck without any visible control antenna at all
Only a camera and computer were found inside the recovered drone
Ukraine believes navigation and targeting may now run without humans
A Russian Molniya drone recently struck a Ukrainian facility without a visible control antenna, and the strike appeared unusual to observers tracking the weapon’s design.
The recovered drone carried only a camera and an onboard computer, a stripped configuration that suggests a move toward greater autonomy in strike sequences.
Radio technology specialist Serhii “Flash” Beskrestnov, an adviser to Ukraine’s defence minister, said the finding points toward navigation and targeting functions operating without a human operator.
A familiar pattern from the V2U platform
The same onboard setup had previously appeared only on the V2U drone, a separate Russian platform used earlier in the conflict.
“The enemy is using the V2U platform to train its neural network,” Beskrestnov wrote, adding that the repeated hardware marked a troubling development.
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“The UAV had only a camera and a computer. This is where everything is heading. Navigation, target acquisition and the attack will become fully autonomous.”
Ukraine’s Defence Intelligence, through its War&Sanctions portal, already classifies the V2U as an AI-enabled loitering munition, though independent confirmation remains absent from other sources.
This overlap raises fresh questions about whether commercial processors, originally built for civilian robotics, are being repurposed for battlefield autonomy across programmes.
There are speculations that Russia’s drone programme is drawing on Nvidia’s Jetson Orin platform, a processor widely used in hobbyist and commercial drone projects for onboard image recognition.
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That kind of chip could plausibly allow a drone to identify and track targets without needing constant external human guidance.
However, no independent laboratory analysis has publicly confirmed the specific chip inside the recovered Molniya drone.
That gap leaves the true source of the hardware unclear, and points to a wider question of how such components may be reaching Russian manufacturers at all.
COTS components complicate export controls
Russian reliance on commercial off-the-shelf, or COTS, hardware appears to expose a persistent gap in international sanctions enforcement efforts worldwide.
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Such components are typically manufactured for civilian markets and often reach restricted buyers through intermediaries, complicating end-use verification across borders.
Once a chip like the Jetson Orin leaves its original supply chain, tracing its final destination becomes difficult for export control agencies to manage in practice.
Manufacturers rarely sell directly to sanctioned states, so a single chip can pass through several resellers before reaching its final buyer.
Each additional link in that chain makes it harder for regulators to know exactly where a processor ends up.
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This loophole means sanctioned states can potentially acquire advanced processors meant for hobbyist or commercial use, then repurpose them for weapons development.
A chip designed for a drone hobbyist’s camera rig can, in principle, end up guiding a loitering munition instead.
Closing that gap would likely require tighter monitoring of resellers and distributors rather than restrictions on the manufacturers themselves.
Export control regimes were largely built around large, traceable defence contracts rather than small consumer electronics shipments.
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That mismatch leaves regulators several steps behind when commercial parts are diverted toward military applications.
Until distributors face stricter tracking requirements, similar hardware may keep surfacing in future weapons regardless of existing sanctions.
Castlelion sells affordable hypersonic Mach 5 missiles for the price of a supercar by tapping into the O&G and audio industries to get cheaper components faster
Navy orders first 50 Blackbeard hypersonic missiles for $23.4 million total
Each Blackbeard missile reportedly costs under $300,000 once full production begins
Castelion has received three separate Navy funding rounds since February 2026
A California defense startup is now selling hypersonic missiles priced like a luxury vehicle rather than a mansion, marking a shift in weapons pricing.
Castelion’s Blackbeard missile travels in excess of Mach 5 and reportedly costs under $300,000 per completed round, a fraction of typical hypersonic pricing.
The pricing became real on June 16 2026, when the US Navy ordered the first 50 production rounds for $23.4 million.
The Navy’s first real purchase
The order also covers 50 shipping and storage containers, running primarily through Castelion’s sprawling New Mexico factory campus.
It is the third Navy payment in five months, following $50 million in February to push Blackbeard from prototype toward operational use.
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In April 2026, the Navy committed a further $105 million specifically to integrate Blackbeard onto the F/A-18 and to run the carrier-suitability testing required before any missile can operate safely from a carrier deck.
According to Bryon Hargis, CEO and co-founder of Castelion, the funding reflects the Navy’s commitment to “advancing affordable, manufacturable long-range strike capability.”
Castelion was founded by former SpaceX engineers and has already completed more than two dozen flight tests within three years.
One of those flight tests took place at the Army’s Dugway Proving Ground in Utah during the latter part of 2025.
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Castelion has also partnered with uncrewed-boat maker Saronic to demonstrate launching Blackbeard missiles from a robotic surface vessel at sea.
If testing continues to succeed, the eventual plan is to purchase Blackbeard missiles by the thousand rather than by the dozen.
In May 2026, the company signed a framework agreement with the Department of War covering multi-year production of roughly 500 weapons annually.
Cheaper parts from unrelated industries
The affordability behind Blackbeard rests heavily on components borrowed from several industries far removed from traditional aerospace manufacturing methods and vendors.
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Chief Operating Officer Sean Pitt said the company uses automotive-grade Field-Programmable Gate Arrays originally built for driver assistance systems and electric vehicles.
These automotive processors cost roughly one-tenth as much as aerospace equivalents and arrive about six times faster, Pitt said.
Castelion has also replaced aerospace-grade metal tubing with precision-machined tubes originally designed for fracking operations in the oil and gas sector.
These tubes withstand heat and pressure levels comparable to rocket motor requirements, yet come from many more vendors at lower prices.
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Rival startup Anduril has adopted a similar approach, using pharmaceutical-industry mixing technology to process rocket motor propellant far faster than legacy methods.
Castelion, recently valued at nearly $3 billion, has secured Pentagon contracts covering more than 500 hypersonic weapons under current agreements.
Last month, my colleagues and I published an investigation into a Texas oil refinery startup, America First Refining, that had secretly gotten investment from Donald Trump Jr. We discovered a saga involving the Trump administration’s tariff policy, sanctioned Russian oil and an Indian billionaire family’s private zoo.
At the center of the story was the CEO of the refinery company, Texas businessman John Calce. We’d spent weeks examining Calce — pulling old lawsuits, property records, corporate registry filings — and had pieced together a portrait of what appeared to be an obscure serial entrepreneur who’d for years tried and failed to secure funding for his long-shot refinery project.
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Then, not long before our story was set to publish, we decided to do a scrub on a separate company he had incorporated called Brownsville Energy Storage Terminals.
Pulling up the company’s website, I felt a brief flash of panic: Had we somehow missed the existence of a major business owned by the man at the center of our next story?
“From Houston to Rotterdam, Jurong to Fujairah. Our network connects the world’s most vital energy markets with speed, safety, and precision bulk oil storage,” announced the front page of the company’s website.
Screenshot by ProPublica
Brownsville Energy Storage Terminals, per the website, had more than 850 employees and 28 million barrels of oil storage capacity across six global hubs. This was puzzling: Our reporting had led us to believe Calce was struggling to raise enough money for a single project in the U.S., not overseeing a massive, multinational oil storage corporation.
Had we been wrong?
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We turned to Google to learn more about the company’s top executives. Its CEO, Sarah Jenkins, had more than 20 years of experience at major energy firms. And its chief technology officer, David Chen, “built the company’s proprietary inventory management portal and integrated AI-driven predictive maintenance systems,” according to his bio. But we couldn’t find any trace of either of them online. Chalk it up to common names?
We then Googled one of the more distinct names: Vice President for Sustainability Dr. Sofia Rossi, who had “spearheaded the ‘Future Fuels’ program, preparing assets for biofuels and hydrogen.” But, again, nothing. The links to their LinkedIn profiles were dead.
Screenshot by ProPublica
When we searched the company’s Texas phone numbers, we found the same numbers listed online for a Houston baklava caterer, a Dallas-area taxi service and an OB-GYN office.
We called the Texas numbers: dead. Then we tried the numbers for the company’s facilities in the Netherlands, Singapore and China. Also dead.
We were beginning to suspect this company did not actually exist, at least as described on its website.
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What was going on with this website? We looked at the source code and noticed an odd notation, “This feature isn’t implemented yet, but don’t worry! You can request it in your next prompt!”
Screenshot by ProPublica
We checked the site’s domain registration, and we had our (apparent) answer: It was created this year and traced back to a company called Hostinger that offers an AI website builder for $2.99 per month. “Describe it, and AI builds it,” its homepage says. “Appear on Google and AI search automatically.”
Indeed, Google’s “AI Overview” search response, now thrust on users by default with more and more regularity, seemed to ratify the company’s bona fides:
Screenshot by ProPublica
When I searched for an award the company claimed on its website to have won, the Google AI Overview said that “Recent notable recipients include Brownsville Energy Storage Terminals, recognized for their rapid expansion in the independent oil and terminal operations sector.”
Screenshot by ProPublica
Brownsville Energy Storage Terminals is a real LLC. But everything on its website — from its history of the company, to its job postings, a diversity and inclusion policy — appears to be fictional. But perhaps more troubling is that Google, the proprietor of the world’s primary research tool, has rolled out AI Overviews that can indiscriminately take in fake material and authoritatively spit it back out as real.
In response to questions, a Google spokesperson said in a statement: “AI Overviews are rooted in our core Search ranking systems, surfacing reliable and high-quality information for the vast majority of queries. For uncommon search terms like these, there might not be high quality information published that matches the query — and we use these examples to improve our search systems.”
After we reached out to Hostinger, the company pulled down the site. “After receiving your inquiry, we carried out an internal review. Based on the violations identified, we suspended the website and the account behind it in line with our Terms of Service,” a spokesperson said in a statement.
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What we encountered is a particular species of a larger problem that is beginning to be better understood. In April, The New York Times reported on an analysis that found Google’s AI Overviews were accurate approximately 9 out of 10 times, noting that that added up to “tens of millions of erroneous answers every hour” given vast search volumes. (A Google spokesperson told the Times that the study has “serious holes.” The company has acknowledged that AI Overviews “can make mistakes.”)
A BBC reporter wrote a fictional article naming himself the best tech journalist at eating hot dogs, and Google’s AI as well as ChatGPT quickly picked it up and parroted it back.
And the source material for the AI Overviews also appears eminently gameable, even when not trafficking in actual fiction. “It Is Trivially Easy to Use Reddit to Manipulate AI Search, Research Suggests,” ran a recent headline in 404 Media.
The mystery website ended up as just a single paragraph in our story. But the larger implication is obvious: fakes, counterfeits and frauds that would have taken considerable effort to create just a few years ago can now be churned out pretty much instantly.
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While preparing this piece, we reached out to Calce asking about the site. An attorney for his company, America First Refining, replied to us with a letter dated June 24 that the attorney sent to Hostinger. The attorney also addressed the letter to several email addresses listed on the Brownsville Energy Storage Terminals website.
“I write to demand immediate removal from the brownsvilleenergyterminals.com website of all unauthorized references to America First’s office address on your website,” the letter said. “As you are aware, America First has no connection or affiliation with the brownsvilleenergyterminals.com website and has not authorized the use of its corporate address there.”
I’m left with lingering questions about the website: What was it for? Was it put up by some malicious actor who simply found the company’s LLC records and decided to create a website? Was it a test site that was mistakenly put online? Or could it have been designed for consumption by someone who was meant to think it was real?
We don’t know, and our emails to the press contact listed on the website, media@brownsvilleenergyterminals.com, bounced back.
Apple is suing OpenAI and two of its former employees who currently work at the AI company, for theft of its trade secrets. In a lawsuit filed in federal court Friday, Apple alleges extensive misconduct by the company it once partnered with, describing its hardware business as “rotten to its core.”
The lawsuit also names io Products, the Jony Ive-led hardware startup acquired by OpenAI last year, as complicit in the trade secret theft. It doesn’t mention Ive by name, but described the organization as complicit in “a coordinated pattern of misconduct at an institutional level” within OpenAI.
The filing also names Chang Liu, a former senior system electrical engineer at Apple, and Tang Yew Tan, a former Apple VP who is now OpenAI’s Chief Hardware Officer. Apple claims that both Liu and Tan shared trade secrets with OpenAI. Liu, according to Apple’s lawyers, “surreptitiously accessed and downloaded dozens of Apple’s confidential hardware-related files, including voluminous, detailed information about unreleased products, engineering presentations, technical specifications, and proprietary project data.”
Apple also claims that Tan “has directed job candidates still working for Apple to bring ‘actual parts’ from Apple to their interviews for ‘show and tell’ sessions in which he and his team at OpenAI can elicit still more Apple confidential information.” In all, Apple says that more than 400 of its former employees have taken jobs at OpenAI and that the company’s interview process if structured “to try to solicit additional confidential Apple information.”
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OpenAI didn’t immediately respond to a request for comment on the allegations. The company “never responded” when Apple reached out about its concerns, the lawsuit says. Drew Pusateri, OpenAI’s director of strategic communications, tweeted that the company has “no interest in other companies’ trade secrets” in reaction to the suit.
Our statement in response to this suit: We have no interest in other companies’ trade secrets. We remain focused on building innovative technology that empowers people everywhere. https://t.co/lIxGW6hyz5
In the filing, Apple says that it’s likely not aware of the full extent of OpenAI’s misconduct. “This much is clear, however: at every level, from members of its Technical Staff to its Chief Hardware Officer, and in coordination with business partners, OpenAI has been stealing Apple’s trade secrets and confidential information,” it says. “As a natural result, OpenAI’s nascent hardware business now rests on the shakiest of foundations, rotten to its core by its illegal reliance on misappropriated trade secrets.”
The lawsuit comes as Apple is still partnering with OpenAI for Apple Intelligence. In a footnote, Apple says that its existing agreement, which allows the iPhone maker to integrate chatGPT into its devices, “is not at issue here” and that its allegations of trade secret theft have “no connection” to the arrangement.
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Update, July 10, 7:30PM ET: This story was updated after publish to include a public comment from Drew Pusateri, OpenAI’s director of strategic communication.
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