NASA, Industry Prepare Cryogenic Fuel Technology Demo

Sometime after July 17, a small satellite will lift off from a peninsula in New Zealand carrying what could be one of the more unglamorous but genuinely important pieces of infrastructure for humanity's next chapter in space: a working prototype of a gas station.

NASA and Eta Space, a company based in Rockledge, Florida, are preparing to launch LOXSAT, short for Liquid Oxygen Flight Demonstration, a spacecraft designed to test 11 cryogenic fluid management technologies during a nine-month mission in low Earth orbit. The goal is to prove out the core systems needed to store, manage, and transfer super-cold liquid propellants in the weightless environment of space, a prerequisite for building the in-space propellant depots that deep space exploration increasingly depends on.

The mission addresses a problem that sounds almost mundane until you think about it seriously. Rockets run on cryogenic propellants, including liquid oxygen, that must be kept at extraordinarily low temperatures. On Earth, that is straightforward enough. In microgravity, it becomes considerably harder. Liquids behave differently without gravity to settle them, pressures shift, and propellant boils off faster than mission planners would like. None of these problems are unsolvable in isolation, but solving them together, reliably, in orbit, is another matter.

LOXSAT will work through the specific challenges systematically. According to NASA, the demonstration targets reducing boiloff, transferring propellant between tanks, maintaining tank pressure, and accurately gauging how much propellant remains on board. That last one, propellant gauging, is trickier in microgravity than it sounds. Without a reliable way to measure what you have left, planning a refueling architecture becomes an exercise in guesswork.

Eta Space built LOXSAT under NASA's Tipping Point program, which funds industry partners to develop space technologies that are close to commercially viable but need a push to get there. Rocket Lab is providing both the spacecraft and the ride: the LOXSAT payload has been integrated with a Rocket Lab Photon satellite bus and is scheduled to launch aboard the company's Electron rocket from Launch Complex 1 on the Mahia Peninsula in New Zealand no earlier than July 17.

The engineering team behind the mission spans three NASA centers. Marshall Space Flight Center in Huntsville, Alabama leads the effort, with contributions from Glenn Research Center in Cleveland and Kennedy Space Center in Florida. The work falls under NASA's Cryogenic Fluid Management Portfolio Project, which sits within the Space Technology Mission Directorate and encompasses more than 20 individual technology development activities. LOXSAT is one of the more visible outputs of that portfolio, but it is part of a broader push to solve the plumbing problems of deep space travel before the plumbing actually needs to work on a crewed mission.

The strategic logic here is worth spelling out. Right now, every spacecraft that leaves Earth has to carry all the fuel it will ever need. That constraint shapes everything, from how heavy a vehicle can be to how far it can go to what payload fraction is left over for anything useful. In-space propellant depots would change the math considerably. A spacecraft could launch relatively light, rendezvous with a depot in orbit or at a waypoint between Earth and the Moon, refuel, and continue on. It is the same principle that makes transcontinental flight practical, just relocated to a far less forgiving environment.

Mars missions make this especially relevant. A crewed Mars mission that could top off its tanks at a lunar-orbit depot, or at a depot stationed at one of the Lagrange points, would have substantially more operational flexibility than one that has to carry every drop of propellant from the launchpad. The math gets more favorable with each refueling point added to the architecture.

None of that happens without the unglamorous groundwork LOXSAT is designed to provide. Nine months of data on how liquid oxygen behaves in microgravity, how well you can move it from tank to tank, how accurately you can measure it, and how effectively you can slow its boiloff will inform the design decisions for whatever comes next. Demonstration missions like this one rarely generate headlines proportional to their importance, but the technologies they validate have a way of quietly becoming foundational.

The launch window opens in mid-July, weather and technical readiness permitting, with data collection running through the duration of the mission. If things go as planned, the results will feed directly into the next phase of depot development, moving the concept from something engineers discuss in conference rooms to something they can actually build.

Linus Torvalds flags AI bug-report overload on Linux security list

Linus Torvalds announced Linux 7.1-rc4 last week with the usual assortment of hardware quirks and stability fixes, but buried in the release notes was a complaint that carries real weight for anyone who touches open-source security work: the Linux kernel security mailing list has become, in his words, "almost entirely unmanageable" because AI-assisted bug hunters are flooding it with duplicate reports generated by running the same tools over the same code.

The culprit, as Torvalds described it, is a combination of low friction and redundancy. Researchers using similar AI-powered scanning tools are independently finding the same issues and independently firing them off to the security list, apparently without checking whether anyone else has already done so. The result is a pile of near-identical reports that maintainers have to wade through before they can determine whether any of them describe something genuinely new and dangerous. Torvalds was pointed about where the problem lies: "AI tools are great, but only if they actually help, rather than cause unnecessary pain and pointless make-believe work."

This is not the first time he has flagged the pattern. XDA Developers noted that during the Linux 7.0 release-candidate cycle, Torvalds observed an unusual spike in relatively minor bug reports and suspected automated tooling was behind it. The 7.1-rc4 announcement suggests the problem has not resolved itself naturally.

The release candidate addresses the issue with something more formal than a complaint: new documentation, linked to patches from Willy Tarreau, that spells out what actually constitutes a Linux kernel security bug and offers guidance on responsible use of AI in bug discovery. The existence of that documentation is telling. When a project the size of the Linux kernel needs to publish a style guide for AI-assisted bug reporting, the volume has clearly crossed from nuisance into structural problem. The guidance is presumably aimed at the good-faith researchers who are generating noise without meaning to, not at bad actors, and framing it as documentation rather than a scolding is a reasonable way to handle a problem that is more about coordination failure than malice.

That framing also reflects how Torvalds tends to think about AI as a category. In remarks recapped by IT Home, he compared AI tools to compilers: useful instruments that free developers from lower-level grunt work without making developers themselves obsolete. The same logic applies here. A tool that surfaces a real bug is valuable. A tool that surfaces a real bug that thirty other researchers have already found and reported is producing noise, and noise has a cost that gets paid by the humans reading the list.

The rest of the 7.1-rc4 release is more routine. Phoronix described the week as busy on fixes, with Torvalds himself calling it larger than he would have liked. The build includes additional quirk entries for Intel and AMD laptops, a microphone fix for the Framework Laptop 13 Pro ahead of its release, and a round of kernel security patches that had already shipped in stable versions, including work connected to the ssh-keysign-pwn vulnerability and Dirty Frag.

On the AI-assisted development side of the ledger, Greg Kroah-Hartman continues to merge kernel fixes with help from his AI tooling, tracked in driver-core.git. That work represents the constructive end of AI involvement in kernel development: patches that go through the normal review process, land in the tree, and fix actual problems. The contrast with the security list situation is instructive. AI helping a trusted maintainer produce reviewed, mergeable patches is a workflow that fits the existing infrastructure. AI helping a large number of independent researchers generate uncoordinated reports aimed at a single inbox is a workflow that breaks it.

The practical implication for anyone doing AI-assisted security research on the kernel is fairly direct: check the existing reports before filing, and consider whether what the tool found is genuinely novel or a duplicate of something already in flight. The new documentation from Tarreau should give clearer criteria for making that call. The broader implication is that open-source projects operating at Linux's scale are going to need explicit policies around AI-generated contributions, not because AI assistance is inherently problematic, but because the tooling has lowered the cost of generating reports faster than norms around coordination have kept up.

Torvalds has spent decades managing the gap between what contributors can technically submit and what maintainers can realistically process. The AI-report deluge is a new version of a familiar tension, and the kernel project appears to be handling it the way it handles most things: by writing it down, adding it to the documentation, and moving on.

Report says 19-meter octopus may have hunted in dinosaur-era seas

Something large was apparently patrolling the ancient oceans, and it wasn't a dinosaur. According to a report covered by Phys.org, researchers have proposed that a kraken-like octopus may have been a dominant predator in Mesozoic seas, a creature stretching roughly 19 meters in length. That puts it longer than a railway carriage, as Focusing on Wildlife helpfully illustrates, and well into the territory of animals that rearrange food chains rather than simply participating in them.

The proposal, as summarized by Phys.org, suggests the animal may have occupied the top predator role in its marine environment during the age of dinosaurs. That is a significant claim. The Mesozoic seas were not short on terrifying things. Ichthyosaurs, mosasaurs, and plesiosaurs were all very much in the business of eating other large animals. Slotting an enormous cephalopod into that hierarchy requires evidence, and the sparse nature of octopus fossils makes the case simultaneously intriguing and difficult to evaluate with confidence.

Octopuses are, by design, terrible candidates for fossilization. They are almost entirely soft tissue. No mineralized skeleton, no hard shell in most species, nothing that geological time tends to preserve with enthusiasm. What occasionally survives are the beaks, small chitinous structures tough enough to outlast the rest of the animal. This is part of what makes any proposal about an ancient giant octopus so hard to nail down and, frankly, so easy to challenge. The absence of evidence is not the same as evidence of absence, but paleontology does prefer something concrete to work with.

What the researchers apparently worked with, based on the coverage, was a combination of inferred ecological role and comparative anatomy or behavior. Focusing on Wildlife describes the proposed creature as "devilishly smart" and capable of crushing prey with what they call a "devastatingly lethal bite." Modern octopuses are already remarkably intelligent for invertebrates, capable of tool use, problem solving, and a level of behavioral flexibility that tends to surprise people unfamiliar with cephalopod biology. Scaling that cognitive architecture up to a 19-meter animal in a richly stocked prehistoric ocean produces a genuinely alarming mental image.

The bite detail is worth pausing on. Modern octopuses kill using a combination of physical force from their arms and a venomous bite delivered by the beak. Some species, like the blue-ringed octopus, carry venom potent enough to kill a human. A version of that apparatus in an animal the size of a school bus, operating in seas full of large marine reptiles, makes the top predator label at least plausible on mechanical grounds, even if the fossil record leaves plenty of room for skepticism.

The "kraken" framing in coverage like this is always doing some work. The kraken is a mythological sea monster from Norse and later European seafaring tradition, typically depicted as a colossal squid or octopus capable of dragging ships under. Using it as a reference point is effective shorthand for scale and menace, though it tends to blur the line between scientific hypothesis and folklore. Phys.org's framing is measured enough, keeping the conditional tense front and center. Focusing on Wildlife leans harder into the monster angle, which is understandable for audience reach but worth noting as context when weighing how the story has been presented across outlets.

The deeper interest here is what this proposal says about how incomplete our picture of Mesozoic marine ecosystems still is. The dinosaur era tends to get discussed in terms of what lived on land, but the oceans of the Cretaceous and earlier periods were equally strange and violent. Giant marine reptiles are well documented. Giant cephalopods, less so, though enormous squid relatives called ammonites were widespread and some reached impressive sizes. The idea that something soft-bodied and behaviorally sophisticated might have been threading through those ecosystems, hunting at or near the top of the food chain, adds a layer to a story most people think they already know.

Whether this particular proposal holds up under peer scrutiny is a separate question. Proposals of this kind sometimes represent genuine breakthroughs in understanding, and sometimes represent a hypothesis that the community finds interesting but ultimately unconvincing without better physical evidence. The coverage does not indicate that the finding is settled science, and the conditional framing across sources suggests the researchers themselves are presenting it as a reasoned argument rather than a confirmed discovery.

What it does accomplish, regardless of how the scientific debate resolves, is a reminder that the fossil record is a partial document. The animals that happened to have hard parts, that happened to die in conditions favorable to preservation, that happened to be found by someone who recognized what they were looking at: those are the ones we know about. Everything else is inference, probability, and the occasional startling proposal about a 19-meter predator that may have been outsmarting marine reptiles while the terrestrial world was busy being run by dinosaurs.

Google’s Gemini Intelligence faces limits on Android phones

Google's new Gemini Intelligence feature for Android promises to pull together data from across a user's Google account, handle multi-step tasks on your behalf, and generally act as a proactive assistant rather than a reactive one. The catch: a lot of phones won't be getting it.

Announced at Google's Android Show on May 12, ahead of the Google I/O developer conference scheduled for May 19-20 in Mountain View, Gemini Intelligence is being positioned as something meaningfully different from the Gemini assistant already on Android devices. The distinction, in broad strokes, is that it doesn't just respond to questions but takes action across apps and surfaces without being asked. Think sending texts, managing calendar items, surfacing information before you go looking for it.

Hardware requirements are where the feature runs into friction. Business Standard and SamMobile both reported that strict compatibility thresholds could exclude a significant number of existing Android phones, including older premium models. Paying top dollar for a flagship last year is apparently no guarantee. For Samsung users specifically, SamMobile flagged that support for current Galaxy devices remains an open question.

Frandroid went further, suggesting that even some future phones might not qualify, depending on how those requirements shake out.

There is also a reasonable skepticism forming around what, precisely, is new here. A Reddit user in the Pixel community questioned the hype, pointing out that existing Gemini already appeared capable of app-based actions and proactive prompts. It's a fair question, and one Google will likely need to answer clearly at I/O.

Android Authority framed the feature in more existential terms, describing it as a peek at a future where the assistant handles so many tasks that users end up reviewing and approving AI actions rather than performing them directly. Whether that sounds like liberation or a slow handover of the wheel probably depends on the day.

HeraldCorp reported that Google's broader I/O message is expected to be less about any single product and more about building out a Gemini-centered ecosystem spanning phones, wearables, and vehicles. So Gemini Intelligence may be less a standalone announcement than the opening act for something larger.

Original source: https://kite.kagi.com/5b73205d-fb42-4ee3-87ba-854f2545e029/tech/4

Scientists warn satellite launches increase atmospheric pollution risks

The sky, it turns out, is not as empty as it used to be, and scientists are starting to measure what that means for the atmosphere.

Researchers are raising new concerns about the chemical effects of surging space activity, focusing on two related problems: the pollution generated by rocket launches and the material released when satellites and other spacecraft burn up during re-entry. Both processes deposit particles and metals at altitudes where the atmosphere is thin, poorly understood, and potentially sensitive to interference. BBC Science Focus has described rocket emissions as an emerging source of ozone stress and framed space activity broadly as an atmospheric-policy issue that regulators have barely begun to address.

One of the more striking scientific arguments comes from Eloise Marais at University College London, who told NPR that satellite pollution is inadvertently generating useful data for geoengineering research. Because re-entering spacecraft inject human-made particles high into the atmosphere, scientists can observe how those materials behave in conditions that are otherwise hard to study. It is an accidental experiment, and not an entirely comfortable one.

The re-entry problem has a second dimension that has nothing to do with chemistry. As spacecraft are increasingly built from stronger, more heat-resistant materials, they are less likely to fully disintegrate on the way down. A research group at the University of Wisconsin-Stout told Infobae that materials innovation has transformed what was once considered a rare hazard into a more regular and persistent safety concern for populated areas and infrastructure. Pieces of spacecraft are surviving the fall.

Meanwhile, the sheer volume of objects in orbit keeps growing. Reports cited by the New York Post suggest roughly half of everything currently orbiting Earth is space junk, a figure the Post characterized as "uncontrollable." Low Earth orbit, the band running from about 300 to 2,000 kilometers up, is where most of this traffic moves at extraordinary speeds before eventually decaying or being deliberately disposed of. Researchers are also developing new tools to study the problem, including laser-based techniques for tracking how space debris contributes to atmospheric pollution.

The accumulation of these issues, atmospheric chemistry, ozone risk, debris survival, and sheer orbital crowding, suggests that space activity is quietly becoming an environmental policy question as much as an engineering one. The commercial launch boom has proceeded largely outside the frameworks that govern industrial pollution on the ground. That gap is becoming harder to ignore.

Original source: https://kite.kagi.com/5b73205d-fb42-4ee3-87ba-854f2545e029/science/3

Apple reportedly plans Genmoji suggestions for iOS 27

Apple is planning to make Genmoji more proactive in iOS 27 and iPadOS 27, automatically suggesting AI-generated emoji based on personal context pulled from users' devices, according to Mark Gurman's Power On newsletter as reported by AppleInsider and 9to5Mac.

The current Genmoji experience requires users to deliberately choose to create a custom emoji, which may explain why the feature hasn't exactly swept the nation since its 2024 launch. AppleInsider noted that adoption has been limited among everyday consumers, though Apple executives have publicly claimed otherwise. A system that surfaces Genmoji suggestions on its own, similar to how Messages already nudges users toward conventional emoji as they type, could lower the activation energy enough to actually get people using it.

The personal context angle is the interesting part. According to AppleInsider, iOS 27 may draw on what users are typing and what's in their Photos library to generate relevant suggestions. That's a more intimate integration than simply offering a palette of pre-generated options, and it leans into the on-device intelligence Apple has been building toward.

Mac users may not be left out entirely. German outlet ifun.de reported that similar automatic suggestions are planned for macOS 27 as well, noting that emoji keyboard support on the Mac has historically been more limited than on iPhone and iPad.

Whether proactive suggestions will actually turn Genmoji into a feature people reach for remains to be seen. But nudging it into the flow of ordinary typing, rather than keeping it tucked behind a deliberate action, is a reasonable approach to getting a stalled feature off the ground.

Original source: https://kite.kagi.com/5b73205d-fb42-4ee3-87ba-854f2545e029/tech/8

SpaceX, OpenAI and Anthropic seek IPOs that could raise $200 billion

Three of the most closely watched private companies in American tech are preparing to go public, and the numbers involved are almost cartoonishly large. SpaceX, OpenAI, and Anthropic are each targeting valuations near $1 trillion, with combined fundraising ambitions approaching $200 billion, according to reports from Tech Xplore, Malay Mail, and other outlets.

SpaceX is expected to move first, eyeing a June IPO and seeking to raise up to $80 billion on its own. To put that in perspective: all U.S. IPOs combined raised $70 billion in 2025. OpenAI and Anthropic are each pursuing roughly $60 billion in their own planned listings, with timelines pointing to late 2026 or 2027.

The three offerings together could nearly match the $240 billion raised by U.S. IPOs over the past four years. That is either a sign of extraordinary momentum or the kind of concentration that makes risk managers reach for antacids.

Emily Zheng of PitchBook flagged exactly that concern, noting that the value here is stacked in three mega-offerings rather than distributed across a healthier spread of companies coming to market. Wall Street is reportedly eager anyway, with investor appetite described as strong despite the risks.

The timing adds some wrinkles. Ongoing conflict in the Middle East is contributing to inflationary pressure and geopolitical uncertainty, according to the reports, which is not the backdrop any IPO roadshow team would choose. Markets absorb big offerings more comfortably when the macro picture is calm, and calm is not the current prevailing mood.

For the AI industry specifically, the OpenAI and Anthropic listings carry weight beyond the dollar figures. The News Lens described the two planned offerings as a key indicator for how public markets will value AI companies broadly, and for where the overall market is heading. If investors pile in at trillion-dollar valuations, it sets a reference point for every AI startup with public ambitions. If the offerings stumble, the ripple effects run in the other direction.

SpaceX, for its part, has the advantage of a more tangible business: rockets, satellites, and government contracts. The AI companies are asking investors to price in a future that is still being written, which is a harder sell in a jittery market, and a potentially very lucrative one if the thesis holds.

Original source: https://kite.kagi.com/5b73205d-fb42-4ee3-87ba-854f2545e029/tech/11

Apple plans privacy controls for iOS 27 Siri

Apple is planning to give Siri a significant overhaul in iOS 27, including user controls over chat-history retention that would let people automatically delete their conversation logs with the assistant. Bloomberg's Mark Gurman reported the details in his Power On newsletter, with multiple technology publications picking up and expanding on the report ahead of Apple's Worldwide Developers Conference in June.

The redesigned Siri would function more like a standalone chatbot than the voice-command layer iPhone users have grown accustomed to, according to Gurman's reporting. Users would be able to reach it the usual way or through a new "Search or Ask" mode triggered by swiping down from the top center of the screen. The app-style experience represents a substantial shift in how Apple is framing the assistant.

Privacy is being positioned as a central selling point. TechCrunch noted that Gurman described Apple's emphasis on chat-history controls as a way company executives may contrast Siri against rival AI chatbots that treat privacy protections as opt-in features rather than defaults. Whether that framing reflects genuine architectural differences or serves as convenient cover for a product that still lags behind ChatGPT and Google Gemini in raw capability is a fair question. TechCrunch raised it directly, noting the privacy pitch could also help excuse Siri's shortcomings compared with competitors.

There are reasons for skepticism about a smooth rollout. Android Headlines reported that early iOS 27 testers have raised concerns about the accuracy of the large language model driving the new assistant. Apple is reportedly considering launching the revamped Siri with a beta label this fall, a signal that the company wants some cushion against hallucinations or sluggish performance. AppleInsider rated this outcome as likely. The beta designation would also be Apple's second such hedge on major Siri improvements in roughly two years, after the Apple Intelligence features announced at WWDC 2024 faced repeated delays.

Gurman's newsletter also touched on other planned AI additions in iOS 27, including an upgrade to Genmoji, Apple's AI-generated emoji feature, according to 9to5Mac and Business Standard.

The June developer conference will be the first real look at how far along this rebuild actually is. If the new Siri ships in the fall behind a beta label after two years of promises, the privacy story will need to be a compelling one.

Original source: https://kite.kagi.com/5b73205d-fb42-4ee3-87ba-854f2545e029/tech/0