Decart’s new world model can simulate hours of photorealistic driving
TechCrunch AI4 days agoNew ToolDecart is launching Oasis 3, a real-time world model designed to generate photorealistic driving environments for autonomous vehicle testing. The headline says it can simulate hours of driving, while also noting there are caveats. The model is now available through an API, giving developers a way to build applications or testing workflows on top of it.
Former Li Auto AD Chief Launches Embodied AI Startup in Beijing Yizhuang
量子位 QbitAI4 days agoBusinessQbitAI reports that Kunlunxing, co-founded by former Li Auto autonomous driving leader Lang Xianpeng and former Alibaba vice president Ren Geng, has settled in Beijing Yizhuang. The startup targets general embodied intelligence, benchmarking Tesla humanoid robots and building both robot hardware and AI brains. Despite fast hiring, strong investor backing, and a reported unicorn valuation, the article stresses that technical paths, commercialization, and real-world deployment remain uncertain.
Amap Releases ABot-Earth 0.5: Shifting from 2D Distillation to 3D Native for Consistent Scene Generation★ 70
量子位 QbitAI5 days agoReleaseAmap has released ABot-Earth 0.5, its latest spatial intelligence model. Moving beyond traditional 2D distillation methods (like Score Distillation Sampling), the model adopts a 3D native driving architecture. This breakthrough addresses multi-view inconsistency and distortion, enabling highly consistent 3D scene generation for autonomous driving simulation, smart cities, and digital twin mapping.
A-share accounts can now buy into Robotaxi
量子位 QbitAI6 days agoBusinessWith no article body provided, the only safe reading is that QbitAI is framing Robotaxi as an investable A-share market theme. The headline likely points to a stock, fund, index, ETF, or related vehicle rather than buying physical robotaxis. Its significance is more about commercialization and capital-market packaging than a specific technical AI breakthrough.
A Half-Century History of Self-Driving Cars: From Japan to Waymo Robotaxi
INSIDE 硬塞 AI8 days agoCommentaryThe article reframes autonomous driving as a long international evolution rather than a Silicon Valley invention. Japan and Germany laid early foundations in the 1970s through experimental vehicle research. DARPA competitions later accelerated the field in the U.S., before Silicon Valley companies commercialized the accumulated work, with Waymo Robotaxi standing as a modern example.
Nuro's Second-Mover Theory Challenged by Data: Waymo Leads Reliability by 31x
INSIDE 硬塞 AI19 days agoCommentary1. Nuro's CEO advocates for a "second-mover advantage" in autonomous driving, arguing later entrants can avoid early R&D pitfalls. 2. However, real-world performance data reveals that Waymo's reliability metric is 31 times better than Nuro's. 3. This massive performance gap suggests Waymo's years of data accumulation have built an insurmountable moat, debunking Nuro's theoretical advantage.
寰宇宏科技攜手旭春開發國產 EPS 平台，突破海外壟斷助攻商用車自駕技術
INSIDE 硬塞 AI23 days agoReleaseTaiwan's smart vehicle supply chain has achieved a major breakthrough. Huanyu Hong Technology and Xuchun have announced a collaboration to successfully develop…
Hugging Face 推出 LeRobot 自動駕駛資料集：全球最大開源自動駕駛資料庫正式上線★ 85
Hugging Face Blog460 days agoRelease### Hugging Face LeRobot Enters New Territory: Launches the World's Largest Open-Source Autonomous Driving Dataset Hugging Face's open-source robotics project…