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NVIDIA just made AI detect objects 10x faster by deleting one step. It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models. Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit. → 12.7 boxes/sec on one H100 → 10x faster than Qwen3-VL → +3.8% F1 on LVIS, accuracy up, not down → 3B params, runs on one consumer GPU Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling. One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines. 100% open source, weights, code, demo, and paper all live.

Perfecting every step is about moving smarter. Huawei Watch GT Runner 2 takes fitness wearables to the next level, enhancing accuracy, comfort and style to support every stride. Success isn't measured by the finish line alone; it's built one step at a time.

An update on the June 21 security incident. First, the most important thing: no user will lose funds because of this incident. The bridge is currently undercollateralized, and we will fully recollateralize it before it reopens, so every balance is backed 1:1, exactly what you had. This is the result of the careful, deliberate steps we've taken from the start: containing the incident, identifying how it happened, and working with our board on the right way to protect users. Our CEO has also filed a formal report with the Singapore authorities, and we'll give our full support to pursuing those responsible. You don't need to do anything right now. We're currently testing the repairs we've made, and we're one step closer to safely reopening the chain and bridge very soon. Everything will be communicated only through our official channels, and the full technical detail will follow in our post-mortem. Be careful of scams: we'll never DM you first, and there's no claim or refund site, so anyone offering one is fake.

Day seven. ⚔️ Meet the first NPCs of Celestia. 🛒 The Merchant - owner of the marketplace and home to a thriving player economy and gold off ramp. 🔨 The Blacksmith - repairs equipment and forges stronger gear. 🏦 The Banker - keeps your valuables safe as your adventure grows. They’re simple for now, but they’re the beginning of the town that every player will call home. One step closer to a living world. #RealmsofCelestia# #gamedev# #indiedev# #mmorpg# #pixelart#

Football style met digital creativity at the Hisense RGB Pop-Up. At the Digital Mirror, fans stepped in front of Hisense RGB MiniLED displays to virtually try on official adidas kits and create personalized football avatars. Powered by RGB MiniLED technology, every color came to life with remarkable realism, bringing fans one step closer to the game. Follow us and show us how you’re celebrating your FIFA World Cup™ moments in style. Hisense. The Origin of RGB MiniLED. Real Game Begins With Hisense. Hisense, Innovating A Brighter Life. FIFA World Cup, We Are 26.

I read the GLM-5.2 report and saw they use IndexShare, which is a cool, simple trick. Regular attention makes every token look at every other token, which is the quadratic cost everyone keeps trying to kill. Sparse attention is a workaround where each token only looks at a small set of relevant tokens instead of all of them. In DSA the way you pick that set is a small "indexer" that scores the keys and keeps the top-k. The indexer stays cheap but still picks well because it's trained to imitate the real attention distribution with a KL loss, and ranking which tokens matter turns out to be a much easier job than computing the exact attention, so it can run in FP8. The problem is that the indexer is itself quadratic, and it runs at every layer. so at 1M context most of your compute goes into deciding what to attend to, not into the attention. The trick with IndexShare is that instead of running it every layer, you share one indexer across a group of 4 layers and let the other 3 reuse that selection. they got 2.9x fewer FLOPs per token at 1M! the idea is betting the set of tokens worth attending to barely changes from one layer to the next, so recomputing it every layer is wasted work. This idea of sharing across different layers is not new, of course. things like HySparse or Kascade do similar reuse but keep a few real dense-attention layers around to compute the "true" selection. GLM takes it one step further and reuses the output of an indexer that was already an approximation, and it holds up because the model is trained that way from mid-training, not switched on at inference. Super simple!

Hello everyone, As many of you just saw in today’s State of Play, pre-orders for Phantom Blade Zero will open this summer! At the same time, I want to share another update: Phantom Blade Zero will now launch on October 29, 2026, moved from its previous date of September 9, 2026. First of all, I want to offer my sincere apologies to all the players who have been following and supporting us. This was not an easy decision. More than anyone, we understand the expectations our players have placed on us. And precisely because of those expectations, we do not want to release Phantom Blade Zero knowing there is still an opportunity to take it one step further. Looking back over the past few years, the development of Phantom Blade Zero has been a thrilling journey of evolution. As we built the game, we continued learning, refining our technology, and expanding the scale and resources behind the project. From its first reveal in 2023, to its first offline hands-on demo in 2024, to the Seven-Star Sword Formation, Lion Dance, and Drunken Sword showcased in 2025, Phantom Blade Zero has continued to evolve year after year, with each new showing representing a clear leap forward from the last. And we have shared that evolution with players around the world every step of the way. Over the past few months, we have been streamlining content and focusing our efforts on polishing the areas that matter most. During this process, I saw one final opportunity for Phantom Blade Zero to make another meaningful leap forward. We have upgraded a number of character models and reworked many environments across the game, pushing them toward the highest standard we can currently achieve. We have also spent additional effort preserving as much of this visual impact as possible even without relying on ray tracing. Of course, ray tracing will further enhance the visuals, but our priority is to make sure the core look, atmosphere, and intensity of Phantom Blade Zero come through at full force for as many players as possible. A 50-day delay cannot solve everything. But it does give us enough time to complete a number of clearly defined and genuinely important improvements. These refinements will directly affect how the game feels when players first step into the world of Phantom Blade Zero. We could have delivered some of them through post-launch updates, but for the players who choose to join us on day one, we believe they deserve the best version of Phantom Blade Zero we can deliver from the very beginning. I am truly sorry for the delay, and I want to thank everyone who has continued to follow and support Phantom Blade Zero. This summer, we will have much more to show you. I believe every extra day of waiting will be worth it. I'd also like to share what you can expect next: 1. A new trailer that will release alongside pre-orders, featuring entirely new in-game footage. 2. After pre-order opens, we will also have a dedicated State of Play focused entirely on Phantom Blade Zero: a 15-to-20-minute deep dive into the game’s world, combat, exploration, and character progression systems. The vast majority of what we show there will be brand-new. We will share the exact dates in upcoming announcements! Once again, thank you all for your continued support! Soulframe S-GAME CEO / Creator of Phantom Blade Zero

‘CONFESSIONS II’ track list by Madonna: 1. I Feel So Free 2. Good For The Soul 3. One Step Away 4. Bring Your Love 5. Danceteria 6. Read My Lips 7. Everything 8. Love Sensation 9. Love Without Words 10. Bizarre 11. School 12. Fragile 13. My Sins Are My Savior 14. Betrayal 15. The Test 16. L.E.S. Girl