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SpaceX’s IPO Live: What Elon Musk’s Public Offering Means for Tech, the Market and You
IPOs can be volatile, especially for retail investors. SpaceX is no exception.
I just did a quick Google search for SpaceX IPO. How many hundreds of articles are we actually expected to read about this?
Given the buzz around Friday’s big IPO, there are a few misconceptions worth addressing upfront. While many people view SpaceX as a massive, dominant space enterprise, it’s more complicated than that.
“In reality, it’s a very successful but fairly small satellite launch company, bolted onto a stagnant money-losing social media company and a money-incinerating AI company, and then sprinkled with a lot of hype about humankind going interplanetary,” said Robin Wigglesworth, editor of the Financial Times’ finance blog, Alphaville.
In other words, perhaps it’s more akin to a vertically integrated space and communications company with ambitious, high-risk side bets. Sure, at its center, SpaceX is a launch company that designs rockets (like Falcon 9 and Starship) and sells access to space. But around that, it has those related businesses — most notably Starlink, its satellite internet network, and xAI, which SpaceX acquired in February 2026. And since xAI includes the social media platform X and X’s chatbot, Grok, they’re also under the SpaceX umbrella.
X hasn’t been durable in terms of revenue. And, like most cash-burning AI enterprises, xAI is expensive to run and is reporting very large losses.
One could say the SpaceX ecosystem revolves around a single goal: building the infrastructure needed for global connectivity and, eventually, space settlement. But a major concern is that SpaceX’s overall package is driven more by hype and momentum than by its proven profitability.
Wigglesworth said the biggest immediate risk is straightforward: The stock could drop soon after it begins trading. That outcome would affect both the company and investors, though it wouldn’t necessarily signal broader economic trouble. As he noted, IPOs “do badly all the time.”
In the first few weeks after the IPO, price movements may be misleading. The opening day can be volatile, with banks helping stabilize prices and strong retail demand potentially pushing shares higher. We’ll also see index funds start to buy in, which can help nudge the price up a bit.
However, as Wigglesworth pointed out, the more meaningful test will come after a month, when the market determines whether there is sustained demand “for a company trading at some of the juiciest valuation multiples we’ve seen in history.”
So here’s another misconception to address: If SpaceX is popular, it’s safe to buy, right?
I didn’t have to read too many articles to get an answer to that.
“Popularity and renown are bad indicators for what makes a successful investment,” Wigglesworth told me. “Even good companies can be bad investments at a dumb price.”
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The big picture: Microsoft is easing one of the strict lines it previously drew around Copilot+ PCs, allowing more Windows 11 machines to run local AI workloads with the right GPU. An update shows that systems equipped with Nvidia RTX 30-series GPUs or newer, with at least 6GB of VRAM, can now support Windows’ local language model APIs. On paper, it’s a small, developer-only tweak, but it suggests Microsoft may be rethinking how tightly it ties on-device AI to Copilot+ branding.
When Copilot+ PCs launched on June 18, 2024, the messaging was clear: dedicated AI hardware was essential. These machines were defined in part by their neural processing units, along with baseline specs such as 16GB of RAM and solid-state storage. The NPU requirement, in particular, was positioned as the key to unlocking local AI features in Windows.
But NPUs are not the only chips capable of handling AI workloads. GPUs, especially modern ones, are built for heavy parallel processing and have long been used to run machine learning models. In practical terms, they can offer more raw throughput for many AI workloads than today’s NPUs, though typically at a higher power cost.
Until now, Microsoft had kept most of its built-in AI features tied to NPU-equipped devices. That left many powerful GPU-based PCs unable to access local text and image generation, as well as features like Windows Recall and other AI tools.
Now that gap is starting to close. In updated documentation and a GitHub post, Microsoft confirmed that developers can now run language model APIs on non-Copilot+ PCs using supported GPUs.
The company described the feature this way: “Language Model APIs on GPU [Experimental]. The Language Model APIs now run on non-Copilot+ PCs equipped with a supported GPU, bringing local language model capabilities to a broader range of Windows 11 devices.” It also specified that “supported hardware includes NVIDIA GeForce RTX 30 series and newer with 6+ GB VRAM.”
For now, this capability is still tucked inside the developer layer rather than exposed directly to everyday users. Running these APIs requires building or using applications that tap into the Windows AI framework. Still, it sets the stage for local AI to reach a much wider range of Windows machines.
At the center of this is a small on-device model called Phi Silica. Instead of being pre-installed on all systems, it can be downloaded through Windows Update when an app requires it. Once installed, the model runs locally on the machine’s hardware, using the GPU when available.
The current feature set is focused on text-based tasks. Through the Windows.AI.Text APIs, apps can summarize content, rewrite text, convert text into structured formats, and generate prompts. The functionality is similar to what users might expect from cloud-based AI tools, but it all runs locally on the device.
Running everything locally has practical benefits. It reduces reliance on cloud processing, which can improve responsiveness, and keeps data on the machine rather than sending it to external servers. For developers and enterprise users, that could make a meaningful difference in how AI features are adopted.
Still, the rollout is partial. Some of the more visible Copilot+ features, including Windows Recall and Click to Do, remain tied to systems with NPUs. GPU support, at least for now, is limited to the language model API layer rather than the broader suite of AI integrations.
Even with those limits, the trend is hard to miss. Microsoft is no longer treating NPUs as the only path to local AI on Windows. Letting GPUs take on these workloads broadens the pool of compatible hardware and makes Copilot+ PCs feel less exclusive than they did at launch.
Kyushu Electric Power Co., Inc. has disclosed a physical security incident that affects private data of more than 10 million customers.
In an official announcement, the company explains that the IT staff regularly performs backups to manage server storage. Due to capacity constraints, on April 27 an external storage device was used for the task.
The drive was then stored in a server room cabinet protected by multiple physical security layers. On May 26, when IT staff went to retrieve it, they found the cabinet had been left unlocked and the driver was missing.
Kyushu Electric Power Company is one of Japan’s major regional electric utilities, supplying electricity across the Kyushu region, which includes the prefectures of Fukuoka, Saga, Nagasaki, Kumamoto, Oita, Miyazaki, and Kagoshima.
The overall population of the Kyushu region is 12.6 million, and the company stated that the incident impacts up to 10.9 million accounts.
The data present on the now missing drive includes:
- Customer names
- Service location addresses
- Electricity usage data
- Telephone numbers
- Names of retail electricity providers
- Other related information
The firm has clarified that no bank account information or credit card data was stored in the drive. It also promised to notify impacted customers individually in the upcoming period.
Since the loss of the hard drive, the firm has interviewed all personnel who entered the server room and conducted investigations, but couldn’t locate it.
Media outlets report that 57 people had access to the said server room, and that Kyushu Electric filed a police report on June 4, suspecting someone had removed the drive.
NHK One reported that the Japanese Ministry of Economy, Trade, and Industry has given the firm until July 8 to report all the details about the incident and the preventative measures taken.
“The company is investigating all possibilities, including unauthorized removal of the device, but it has not yet been located,” reads the bulletin.
The incident has been reported to Japan’s Personal Information Protection Commission and the relevant government authorities.
An old algebra teacher used to say, “You have to take what you know and use it to get what you don’t know.” You might say the same thing about converting analog signals into digital. Computers know how to count and keep time. [Eric Explains] has a video purporting to explain “every type of analog-to-digital converter.” We aren’t sure he got every possible method, but there’s still a lot of information in the video, which you can see below.
From the flash ADC, using a ton of comparators to the successive approximation converter, which essentially plays a game of hi/lo, guessing the answer and figuring out if the real answer is higher or lower.
Those are pretty common, but the video also covers things like the Wilkinson ADC and other more exotic techniques. Each method, of course, has its advantages and disadvantages. For example, the flash ADC is fast, but requires a lot of components and power.
Sometimes, the method you use depends on how you are building. For example, you probably wouldn’t use a charge system on a breadboard since precision capacitors are finicky. But on an integrated circuit, capacitors made with photolithography may not be very precise, but the ratio between capacitors is super precise, making that a common technique in that domain.
Even if you never need to design your own converter, understanding the different architectures will let you make a better selection among alternatives. Then again, you can design your own. We’ve seen most of these architectures in past projects.
‘AI Overviews can no longer just be helpful summaries. Now, they must be legally defendable outputs,’ said Forrester principal analyst Nikhil Lai.
A landmark German ruling has determined that Google’s AI Overview are its own words, holding the company liable over statements Overview generated about two German publishers.
The Regional Court of Munich found that the AI Overview search tool was generating false claims about the two plaintiffs, including that they committed fraud and lured customers into subscription traps.
The court hit Google with a temporary injunction, banning the company from spreading false claims about the plaintiffs. Google has been ordered to pay 80pc of the legal costs, while the plaintiffs will each pay 10pc of the costs.
The court pinned responsibility on the search giant, reasoning that the AI used by Google independently compiles and summarises information, creating search results that go beyond just links.
It ruled that only Google has influence over the AI used in Overviews, as well as the algorithms with which it operates – meaning it must be held accountable for its results. It also said that the Overview search results about the plaintiffs included statements not even made in the search results.
“We invest deeply in the quality of AI Overviews to ensure that the overwhelming majority of responses provide accurate information, and they are designed to reflect the information that exists on the web. We’re carefully reviewing this decision, which is not yet final,” Google told Android Authority in a statement.
The Munich regional court’s ruling went a step further, examining existing rulings from Germany’s Federal Court of Justice (BGH), which gave search engines and autocomplete limited liability.
According to the BGH, search engines are only liable as indirect infringers because they disseminate information already created by third-party content publishers.
However, the Munich court said that this doesn’t apply to AI Overviews, as it “makes independent, new and substantive statements based on an evaluation and linking of content from various third-party websites” – rather than a traditional search engine which points to external sites.
Google argued in proceedings that users should not blindly trust information generated in AI Overviews. While the court agreed that users can check links and ensure the validity of the information they receive, it said that that shouldn’t relieve the company of liability.
“AI Overviews can no longer just be helpful summaries,” said Nikhil Lai, a principal analyst at Forrester. “Now, they must be legally defendable outputs.
“I think we’ll see fewer assertive, highly confident claims and more hedging, including language like ‘according to…’ and ‘some sources suggest…’.”
Lai also expects that fewer queries searching for sensitive information such as financial, health or legal advice would result in AI Overviews.
“This is not a Google-specific problem. I think this will lead to the value of defensible AI, where information’s verifiability and traceability become more valuable than its polish.”
Last year, a group of independent publishers filed an antitrust complaint with the European Commission, arguing that Google’s AI Overview diverts traffic away from independent publishers, resulting in less readership and advertising revenue.
Last week, the UK’s competition regulator ordered Google to let publishers opt out of having their content used to power AI features in search, including AI Overviews.
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It costs $200 and integrates with the $46 InkSense Plus.
Boox just announced a refresh of its popular Go 6 ereader, and this one offers stylus support for note-taking. The 6-inch E Ink reader integrates with the company’s pre-existing InkSense Plus stylus. The tablet costs $200 and the stylus costs around $45, so that totals $245 for the whole package. Preorders are open now and shipments go out on June 17.
There’s more here beyond stylus support, though that’s pretty useful. The updated Go 6 is available in four new colors and ships with a native note-taking app, which can be used with the stylus to “mark up books, underline passages and capture handwritten notes and to-do lists.”
There’s also been an uptick in RAM, up to 3GB, which should make everything a bit more responsive. The ereader features adjustable front lights, a 300 PPI monochrome ePaper display, 32GB of storage and a microSD slot. It’s on the smaller side, with a thin form factor and a weight of just over five ounces.
It runs on Android, so users have access to the Play Store. However, running apps on an ereader can often be frustrating, due to the low frame rate. Results will vary depending on the app. Like most modern ereaders, the Go 6 should last days on a single charge with regular use.
This isn’t the first time Boox has introduced stylus support to one of its products. The Go 7 E Ink tablet got the feature last year.
What even is a photograph these days?
As tech giants pack generative AI capabilities into our phones and their camera software, the line between what is a real image and what isn’t continues to blur. Phones from Google and Samsung, for example, now come with features that let you drastically alter a photo by erasing people, moving people around in the shot, and even adding new objects to the scene.
Apple is getting in on the action by adding new generative features to its Photos app, though the company’s iPhone camera chief, Jon McCormack, stresses that Apple is taking a more measured approach than its competitors and isn’t “doing AI for the sake of AI.”
At its annual Worldwide Developer Conference on Monday, Apple showed off a handful of AI features invading the Photos app in iOS 27, which will arrive on iPhones later this year.
While the iPhone’s Photos app already has the Clean Up tool, which lets you erase unwanted objects in pictures, it’ll perform even better in iOS 27 thanks to its access to Apple’s improved AI models. However, there are two new features—called Extend and Spatial Reframe—that let you expand the space around your photo or change the perspective of an image, all while generating fake pixels. The camera “thinks” about what should be there, then draws it in.
McCormack says there’s a giant backlog of unsolvable issues that AI is now helping to address and that these new features are very deliberate. “You don’t have to know all the details of how to do something in Photoshop or something else—it gives normal people these absolute superpowers,” McCormack says.
Apple doesn’t want to let you run wild with your images and generate all kinds of fakery, though. (At least not in the Photos app; the App Store offers plenty of tools for making photorealistic slop.) The fake pixels the Photos app generates are restricted to what’s in the background. It won’t alter the pixels of the main subject’s face. With Clean Up, for example, you cannot remove the primary subject in the image. The Extend function only works once and expands the image by 25 percent—you can’t save, edit the image again, and infinitely extend it with AI.
McCormack also says Apple will integrate Google DeepMind’s SynthID technology later this year to add an invisible watermark indicating these images have been altered with generative AI. Any platforms where you share the photo may be able to flag it as AI-edited. (Just know that researchers have shown that digital watermarks aren’t foolproof.)
“A photograph is of something that actually happened,” McCormack says. “We really do believe in this idea of authentic journalism to your own life—when you’re capturing photographs, you’re making these memories, you’re putting moments of your life in a bottle that you can go back to. It’s really important to us that we create tools that keep the sanctity of that moment.”
Apple used WWDC 2026 to roll out its next wave of software updates, and tvOS 27 received the kind of brief stage time Apple usually reserves for products that are important but not quite the main attraction. The update is expected this fall and will help shape the next Apple TV 4K experience, but the bigger story may be what Apple didn’t launch: new Apple TV hardware.
With Siri AI and Apple Intelligence still looking like complicated pieces of the puzzle, the next Apple TV 4K appears to be waiting for Apple’s living room strategy to catch up with its AI ambitions.
What We Know About Apple tvOS 27 So Far
If Apple Intelligence with Siri is fully fleshed out for the next Apple TV 4K, tvOS 27 could bring some meaningful upgrades to the platform. Keep in mind that the following information remains tentative.
Expected improvements include faster app launches, possibly by up to 30%, faster AirPlay connections to Apple TV and HomePod, and support for smaller app downloads through localized language packages.
Control Center in tvOS 27 is also expected to become more responsive, with faster navigation, quicker app switching, and improved game controller settings included in the controls menu.
AirPlay connectivity to Apple TV and HomePod should also improve, along with faster Apple Music playback startup. Compatibility with Hi-Res Lossless audio playback up to 24-bit/192kHz is also expected.
The Podcasts app for tvOS has reportedly been redesigned, with support for both audio and video podcasts.
Apple Home is expected to add support for 4K camera recordings, including HomeKit Secure Video recordings processed on-device, with Private Cloud Compute used for descriptions and search.
Users should also be able to view AppleCare coverage details directly in the Settings menu.
New accessibility upgrades are also expected in tvOS 27.
Users should gain the ability to adjust text size across tvOS and supported apps, making menus, labels, and on-screen information easier to read.
Auto-transcription support in English is also expected, allowing spoken dialogue to be converted into subtitles automatically. Apple is also expected to add automatic subtitle translation support for additional languages.
Expanded support for Made for iPhone hearing aids is also reportedly on tap, making it easier to pair them with Apple TV and switch between devices in a way that works more like AirPods.
Compatibility with Apple TV Devices?
Once Apple tvOS 27 is ready to roll-out, the only previously released models that will be compatible with the new OS will the Apple TV 4K (2nd Gen, 2021 model) and Apple TV 4K (3rd Gen, 2022 model).
The previously released Apple TV HD (2015) and First Generation Apple TV 4K (2017) will not be compatible with tv0S 27 but will remain compatible with tvOS 26 for the time being.
Apple TV 4K Pro: New Hardware for Apple’s AI Push?
In addition to tvOS 27 on the software side, Apple is expected to time the update around the release of its next-generation Apple TV 4K box. The rumored “Apple TV 4K Pro” name may not be final, but the idea is clear: Apple needs new hardware that can get more out of tvOS 27, Apple Intelligence, and a more capable version of Siri.
The next Apple TV 4K is expected to include either an A17 Pro or A18 Pro chip. Connectivity upgrades could include Wi-Fi 7 and Bluetooth 6, while a redesigned remote may add easier access to Siri AI, along with a U1 Ultra Wideband chip for improved Find My support. Because apparently losing the Apple TV remote remains one of civilization’s most reliable traditions.
Pricing is expected to start at $149 for the higher-end model, with a more budget-friendly version possibly landing at $99. At this point, it is not clear what Apple would remove or scale back from the lower-cost version.
The Bottom Line
tvOS 27 matters because Apple TV 4K has never really been about throwing the most apps on a screen. Its strength has been speed, polish, privacy, ecosystem integration, and not making the living room feel like a casino lobby with a remote. If tvOS 27 delivers faster app launches, quicker AirPlay, better accessibility tools, improved Apple Music and Podcasts support, and deeper Siri AI integration through Apple Intelligence, Apple TV could become a more useful hub for streaming, music, smart home, and accessibility.
What makes this unique is not any single feature. Roku, Amazon, Google, and Samsung all have streaming platforms. Apple’s advantage is how tightly Apple TV can connect with iPhone, AirPods, HomePod, Apple Music, Apple Fitness+, HomeKit, FaceTime, Apple Arcade, and potentially a smarter Siri. For households already invested in Apple gear, that kind of integration matters more than another cheap plastic puck with ads stapled to every menu.
That said, nothing is final until Apple releases tvOS 27 and confirms the next Apple TV 4K hardware. The rumored “Apple TV 4K Pro” could be the box that finally gives Apple’s living room strategy the AI upgrade it needs, but pricing, specs, naming, and feature support remain unconfirmed. For Apple users who want a faster, cleaner, more privacy-focused streaming device that can also serve as a music, smart home, and accessibility hub, tvOS 27 could be a meaningful step forward. Just don’t retire the current Apple TV 4K until Apple shows the actual box.
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Looking for the most recent Mini Crossword answer? Click here for today’s Mini Crossword hints, as well as our daily answers and hints for The New York Times Wordle, Strands, Connections and Connections: Sports Edition puzzles.
Need some help with today’s Mini Crossword? I admit, 7-Across threw me for a bit, but I figured it out eventually. Read on for all the answers. And if you could use some hints and guidance for daily solving, check out our Mini Crossword tips.
If you’re looking for today’s Wordle, Connections, Connections: Sports Edition and Strands answers, you can visit CNET’s NYT puzzle hints page.
Read more: Tips and Tricks for Solving The New York Times Mini Crossword
Let’s get to those Mini Crossword clues and answers.
The completed NYT Mini Crossword puzzle for June 12, 2026.
Mini across clues and answers
1A clue: Vertical post in a doorframe
Answer: JAMB
5A clue: What “E” stands for in the musical mnemonic EGBDF
Answer: EVERY
7A clue: 6:7, e.g.
Answer: RATIO
8A clue: Rap or tap
Answer: KNOCK
9A clue: Quick puff on a joint
Answer: TOKE
Mini down clues and answers
1D clue: Kind of seasoning for Jamaican-style chicken
Answer: JERK
2D clue: ___-garde
Answer: AVANT
3D clue: “That makes two of us!”
Answer: METOO
4D clue: Badly missed jump shot, in hoops slang
Answer: BRICK
6D clue: Oxen’s harness
Answer: YOKE
Shion arrives when Season 3 starts on June 16.
After teasing the newest addition to the lineup of colorful characters in its team shooter earlier this week, Blizzard has released the gameplay trailer for another new damage hero. Shion will join Overwatch when its next season, the third since the Reign of Talon reboot, kicks off on June 16. This character won’t do anything to change the impression that Blizz is leaning hard on making hot heroes or that it’s starting to suffer same-face syndrome with its female lineup. But at the very least, Shion is one of the team’s most dramatic creations in a while, looking very stylish in an all-white suit paired with petite red horns and cybernetic red eyes.
Appearance-wise she might call to mind the moody Reaper character, but Shion’s kit actually feels more reminiscent of Tracer. She’s dual-wielding semi-automatic pistols as her base weapon, but can focus fire in a more powerful burst to finish off a low-health opponent. Mobility also seems core for this hero, since she has both a dash move and can ride actual motorcycle in-game. The bike seems especially satisfying, since it looks like there’s an ability for Shion to jump off and launch the vehicle forward into a rival. Her ultimate ability turns Shion into a damage-dealing vortex that can dash toward enemies.
Considering the big Overwatch reboot aims to emphasize a bigger narrative tying together the characters, it seems likely that the next lore drops will highlight story threads surrounding the Hashimoto clan where Shion is a boss. So expect more background on support heroes Kiriko and Mizuki as part of the larger drama about Vendetta’s efforts to take over the world as Talon’s new villain-in-charge.
There are existing methods to collect water from the ambient air, but most of them are large or cumbersome. Recent research by the University of Texas at Austin is taking that concept and transforming it something you could have on hand at all times. Or more literally, on your back at all times. In a study published in Scientific Advances, the team used a special textile to create a jacket capable of atmospheric water harvesting.
“We wanted to rethink the form of the technology,” said UT Austin’s Guihua Yu, one of the authors on the latest study. “If the fabric itself can collect water from air, it opens a new direction for personal and portable water access.”
The jacket used a special fabric designed to collect moisture from the air and gather it in detachable harvesting units rather than simply having the textile absorb the water. “That transport design is what allows the material to work not just in a small lab test, but in a wearable system,” added co-author Keith Johnston, also of UT Austin. The harvesters are then placed in a foldable collector piece and heated to produce drinkable water.
University of Texas at Austin
Depending on humidity levels, the jacket produced between 400 and 900 milliliters (about 14 to 30 ounces) of drinkable water per day in testing. The form factor created for this particular study was a jacket, but the investigators suggested that the same textile could be used to manufacture other objects, such as a backpack or a tent, to lend them water-collecting capabilities. The technology could have applications for medical response teams or during emergencies, particularly in remote places. On the commercial side, it could also make for some pretty useful hiking and extreme sports gear.
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