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このあと札幌スタンピーズでイベントです🤍🤍 始まる前から喋りすぎて喉カラカラです！笑笑 きてくださる皆さん楽しみましょう🫶🏻 #けいまり# #かしわ記念# #SPAT4#

5/5(火) 18:00〜 SPAT4プレミアムポイントPRESENTS 【エキマエ競馬MTG】#かしわ記念# Jpn1 大親友 #一瀬恵菜# ちゃんとイベント出演します🥹✨嬉しすぎるーー！ GWはぜひ #けいまり# と過ごしましょう♡ #SPAT4# プレミアムポイント会員様は 入場無料です🌟 #スタンピーズ#

ウマ馬チアーズ！ ありがとうございました。 森騎手に今だから聞けるお話も満載で めちゃくちゃ貴重な時間でした！ 森騎手、キャプテンさんのお話に 笑っぱなしだったな🥺🙏 楽しすぎた、、！ #SPAT4# #ウマ馬チアーズ#

Performance-testing Cactus and getting it ready for the world's biggest stores: this is 120k unique products on 8,000 fixtures. - LoD rendering (more detail when zoomed in, less detail as you zoom out) - Spatial index that fetches data you're looking at - Interactive minimap

Converting flat satellite maps into fully interactive 3D digital twins used to take weeks of manual 3D modeling and GIS engineering Now, a single tool can process geospatial satellite data and reconstruct the complete 3D geometry of any building on Earth in seconds Here is how the spatial extraction actually works: First, you select a structure on a standard satellite map. The software reads the footprint, elevation data, and height boundaries Next, it automatically generates a volumetric 3D wireframe mesh, rendering the physical layout in real time From there, you can apply a cross-section slice to cut through individual floors, revealing subterranean basements and foundation depth Finally, you can drop into a first-person view to physically navigate interior corridors, stairwells, and room layouts This bridges the gap between static geospatial map data and immersive 3D spatial simulation for architecture, urban planning, and spatial analysis

The world is not just made of words, and spatial intelligence was never just about perceiving and generating worlds. It's about interacting with them. Today, SceniX is joining World Labs. 🌎🤖👇

Wenn mir ein Klumpen Koks aus dem Gesicht fällt, klebe ich es mir auch immer auf die Stirn, damit ich es nachher nicht vergesse und ich es später noch mal konsumieren kann. #RobbieWilliams#

Over the past two years, AI video models have been competing on realism, resolution, and duration. But no matter how impressive the results look, we remain passive viewers: we press play, watch the clip, and it ends.   AlayaWorld @alayastd is attempting something fundamentally different. Instead of generating a fixed video, it generates a world that continues to unfold as you move through it.   These three demos show the same journey toward a green village rendered in three distinct styles: photorealistic, oil painting, and line art. As the camera moves forward, the model continues generating the road, fences, trees, and distant village. This is not simply an existing video with different filters applied. The environment is generated continuously along the camera trajectory, allowing the scene to develop as the user explores it.   AlayaWorld streams video at 720p and 24 FPS while supporting camera movement and viewpoint control. The real breakthrough is not just image quality. Once generation becomes fast enough to respond within an interactive loop, the user is no longer merely watching a video. They become a participant inside the generated world.   The world can also respond to new instructions. During generation, users can introduce prompts that trigger spells, summon characters, create explosions, or transform the environment. Most video models follow an initial prompt and produce a predetermined clip. AlayaWorld can respond to changing intent while the world is still running, allowing subsequent events to evolve according to the user’s commands.   Generating an attractive frame is relatively easy. Maintaining a coherent world over time is much harder. As a video model repeatedly predicts the next frame, small errors can accumulate until roads, buildings, and objects begin to distort or disappear. AlayaWorld combines spatial memory with compressed historical context, helping the model remember both where things are and what has already happened. This enables stable generation lasting more than one minute while improving consistency when the camera leaves an area and later returns.   This may be the next step for AI video: not simply generating a longer movie, but generating a world that can be explored, changed, and interacted with.   AlayaWorld is developed by Alaya Lab. The team is progressively releasing its inference code, training code, and datasets, with an online experience expected to launch near the end of the month.   Project page: