
LOWUS: Südkorea stellt Kampfdrohne als Ergänzung zur KF-21 vor
Südkorea hat offiziell eine neue Tarnkappendrohne vorgestellt, die für den Einsatz zusammen mit seinen KF-21 Kampfflugzeugen entwickelt wurde. (Militär, Politik)
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Südkorea hat offiziell eine neue Tarnkappendrohne vorgestellt, die für den Einsatz zusammen mit seinen KF-21 Kampfflugzeugen entwickelt wurde. (Militär, Politik)
Jährlich gibt es 150 bis 200 Störungen an Glasfaserseekabeln. In Abuja hat sich die Branche mit Regierungsvertretern getroffen, um technische Lösungen zu suchen. (Seekabel, Internet)
OpenAI nennt sein neues KI-Modell GPT 4.5 das “bisher kenntnisreichste”. Es soll unter anderem weniger halluzinieren. (OpenAI, KI)
Nach 76 Jahren Automobilproduktion ist das Audi-Werk in Brüssel-Forest Geschichte. (Audi, Elektroauto)
Mit Entra ID lassen sich Benutzeridentitäten, Zugriffskontrollen und Sicherheitsrichtlinien in hybriden und Cloudumgebungen effizient verwalten. Dieser Workshop vermittelt die Funktionen und Best Practices für IT-Admins. (Golem Karrierewelt, Microsoft)
This success lays the foundation for future missions to dock with out-of-control satellites.
There's a scene in the film Interstellar where Matthew McConaughey's character flies his spaceplane up to meet a mothership spinning out of control. The protagonist rises to the challenge with a polished piece of piloting and successfully links up with his objective.
Real life, of course, isn't quite this dramatic. Slow down that spin to a tranquil tumble, and replace McConaughey's hand on the joystick with the autonomous wits of a computer, and you'll arrive at an approximation of what a Japanese company Astroscale has accomplished within the last year.
Still, it's an impressive feat of engineering and orbital dynamics. Astroscale's ADRAS-J mission became the first spacecraft (at least in the unclassified world) to approach a piece of space junk in low-Earth orbit. This particular object, a derelict upper stage from a Japanese H-IIA rocket, has been in orbit since 2009. It's one of about 2,000 spent rocket bodies circling the Earth and one of more than 45,000 objects in orbit tracked by US Space Command.
Repositories once set to public and later to private, still accessible through Copilot.
Microsoft’s Copilot AI assistant is exposing the contents of more than 20,000 private GitHub repositories from companies including Google, Intel, Huawei, PayPal, IBM, Tencent and, ironically, Microsoft.
These repositories, belonging to more than 16,000 organizations, were originally posted to GitHub as public, but were later set to private, often after the developers responsible realized they contained authentication credentials allowing unauthorized access or other types of confidential data. Even months later, however, the private pages remain available in their entirety through Copilot.
AI security firm Lasso discovered the behavior in the second half of 2024. After finding in January that Copilot continued to store private repositories and make them available, Lasso set out to measure how big the problem really was.
It looks and works just like similar apps from OpenAI and Anthropic.
It took a couple of years, but it happened: Microsoft released its Copilot AI assistant as an application for macOS. The app is available for download for free from the Mac App Store right now.
It was previously available briefly as a Mac app, sort of; for a short time, Microsoft's iPad Copilot app could run on the Mac, but access on the Mac was quickly disabled. Mac users have been able to use a web-based interface for a while.
Copilot initially launched on the web and in web browsers (Edge, obviously) before making its way onto iOS and Android last year. It has since been slotted into all sorts of first-party Microsoft software, too.
New diffusion models borrow technique from AI image synthesis for 10x speed boost.
On Thursday, Inception Labs released Mercury Coder, a new AI language model that uses diffusion techniques to generate text faster than conventional models. Unlike traditional models that create text word by word—such as the kind that powers ChatGPT—diffusion-based models like Mercury produce entire responses simultaneously, refining them from an initially masked state into coherent text.
Traditional large language models build text from left to right, one token at a time. They use a technique called "autoregression." Each word must wait for all previous words before appearing. Inspired by techniques from image-generation models like Stable Diffusion, DALL-E, and Midjourney, text diffusion language models like LLaDA (developed by researchers from Renmin University and Ant Group) and Mercury use a masking-based approach. These models begin with fully obscured content and gradually "denoise" the output, revealing all parts of the response at once.
While image diffusion models add continuous noise to pixel values, text diffusion models can't apply continuous noise to discrete tokens (chunks of text data). Instead, they replace tokens with special mask tokens as the text equivalent of noise. In LLaDA, the masking probability controls the noise level, with high masking representing high noise and low masking representing low noise. The diffusion process moves from high noise to low noise. Though LLaDA describes this using masking terminology and Mercury uses noise terminology, both apply a similar concept to text generation rooted in diffusion.
Google broke the feature last year, and it’s taken months of complaints to get this far.
Google's Pixel phones include numerous thoughtful features you don't get on other phones, like Now Playing. This feature can identify background music from the lock screen, but unlike some similar song identifiers, it works even without an Internet connection. Sadly, it has been broken for months. There is some hope, though. Google has indicated that a fix is ready for deployment, and Pixel users can expect to see it in a future OS update.
First introduced in 2017, Now Playing uses a cache of thousands of audio fingerprints to identify songs you might encounter in your daily grind. Since it works offline, it's highly efficient and preserves your privacy. Now Playing isn't a life-changing addition to the mobile experience, but it's damn cool.
That makes it all the stranger that Google appears to have broken Now Playing with the release of Android 15 (or possibly a Play Services update around the same time) and has left it that way for months. Before that update, Now Playing would regularly list songs on the lock screen and offer enhanced search for songs it couldn't ID offline. It was obvious to Pixel fans when Now Playing stopped listening last year, and despite a large volume of online complaints, Google has seemingly dragged its feet.