INSIDE reports that Taiwan already has a review process for Tesla FSD as an L2 driver-assistance feature, with approval expected to take about six to eight weeks after submission. The delay is therefore not mainly due to missing regulation. Instead, Tesla’s global rollout priorities, engineering resource allocation, and Taiwan’s market size appear to be the key factors.
NVIDIA argues that robotaxi safety requires more than perception and driving decisions. The post presents Halos OS as a production safety foundation covering a certifiable OS, standardized interfaces, AI guardrails and large-scale validation. It also highlights global robotaxi collaborations using DRIVE Hyperion and the broader Halos stack across training, simulation and in-vehicle inference.
Decart 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.
QbitAI 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 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.
NVIDIA and LG Group announced an AI factory collaboration spanning robotics, autonomous driving, data center technologies and GPU cloud services. The effort connects NVIDIA Isaac, Cosmos, DRIVE, DSX, Blackwell GPUs, NeMo and TensorRT-LLM with LG’s manufacturing, robotics, mobility and infrastructure businesses. The partnership also supports LG’s EXAONE sovereign AI model work and broader enterprise AI adoption across the group.
With 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.
The headline says Qualcomm praised GAC Aion N60 for taking second place in a smart-driving competition. It also notes that WeRide WRD 3.0 was shown at a Qualcomm summit. With no article body provided, the item should be treated as an industry update around intelligent vehicles, autonomous driving vendors, and Qualcomm’s automotive ecosystem rather than a verified technical benchmark.
BYD has announced a limited liability commitment for its God’s Eye intelligent driving system in China. If an accident is caused by the system, the company says it will cover related damages during the first year after purchase. The move raises a broader question: whether automakers’ willingness to assume responsibility could become a new benchmark for semi-autonomous driving products.
The 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.
Tesla has expanded the stated service area for Robotaxi in Austin, making the rollout appear broader in geographic terms. However, the report says the unsupervised fleet remains around 20 vehicles, creating a gap between coverage and real service density. The update suggests progress in deployment optics, but not yet clear evidence of scalable commercial operations.
1. 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.
Taiwan's smart vehicle supply chain has achieved a major breakthrough. Huanyu Hong Technology and Xuchun have announced a collaboration to successfully develop…
### Hugging Face LeRobot Enters New Territory: Launches the World's Largest Open-Source Autonomous Driving Dataset Hugging Face's open-source robotics project…