SITUATION DETECTED: NVIDIA has launched Alpamayo 2 Super, an open-weights reasoning model for autonomous vehicles, released for commercial use. NVIDIA says the model is a backbone for robotaxis, trucks, shuttles and delivery vans.
NVIDIA has released Alpamayo 2 Super, an open-weight reasoning system built for robotaxis, trucks and other autonomous machines. Designed for the rare and complex situations where conventional driving systems often struggle, it analyzes 360-degree camera footage and produces a planned trajectory, driving intent and a chain-of-causation explaining how it reached its decision. This gives developers a clearer link between what the system observed and the action it selected, which is useful for safety testing and validation. It is available for commercial use under the OpenMDW-1.1 license, allowing developers to fine-tune it on proprietary fleet data, create derivative models and deploy them without additional permission. Built on NVIDIA Cosmos 3 Super Reasoner and further trained through reinforcement learning, Alpamayo 2 Super is three times the scale of Alpamayo 1.5. NVIDIA says it ranked first among nearly 40 systems evaluated on the LingoQA autonomous-driving reasoning benchmark. Its main commercial advantage is the cloud-to-car workflow. Companies can use the larger system in the cloud to generate reasoning traces, labels and synthetic training data, then distill that knowledge into smaller models capable of running efficiently inside production vehicles.
Nvidia: Nvidia Alpamayo 2 Super, the frontier open model for robotaxis and autonomous vehicles, now available for commercial use. $NVDA
Nividia has just unveiled a new frontier open model for robotaxis and autonomous vehicles, called Alpamayo 2 Super. Nvidia: "For robotaxis and other autonomous vehicles, the hardest problems aren’t the everyday scenarios. They’re the rare, complex situations that are difficult to anticipate and train for. Handling these long‑tail events takes more than just object detection and motion prediction. AVs must understand the situation, reason about cause and effect, choose the right action and turn that decision into a safe, comfortable path — all in real time and in a way developers can inspect, validate and trust. Nvidia Alpamayo 2 Super is available now for commercial use. Built on Nvidia Cosmos 3 Super Reasoner and post‑trained with reinforcement learning, the model advances the AV ecosystem on two fronts: open commercial licensing and leading multitask capabilities for autonomous driving. Alpamayo 2 Super brings surround-view perception, reasoning, planning, scene understanding, and data autolabeling into one open model workflow. These capabilities give developers a practical foundation for building teacher models, curating long-tail data, inspecting policy decisions, and evaluating AV systems beyond a single open-loop trajectory metric. As a teacher model, it can be distilled into compact models that run on Nvidia DRIVE AGX Thor inside the vehicle." Info: • Reasoning at scale: 34-billion-parameter reasoning vision-language-action model designed to accelerate AV development, 3x the scale of the Alpamayo 1.5 and Alpamayo 1 models. • Open for commercial use: Released under OpenMDW-1.1, a permissive license supporting fine-tuning, derivative models and commercial redistribution. • Benchmark-leading AV reasoning: Ranks first on LingoQA across nearly 40 models evaluated. • Built for difficult driving scenarios: Expands to 360-degree coverage and can return multiple complementary outputs: future trajectories, Chain-of-Causation (CoC) reasoning traces, high-level Meta-Actions, grounded answers to questions about the scene, and reasoning autolabels.
The breakdown of Uber’s robotaxi partnership with Waymo is looming large over the ride-hailing giant’s quarterly results https://www.bloomberg.com/news/articles/2026-08-04/uber-s-robotaxi-ambition-to-face-scrutiny-as-shares-languish?taid=6a71e96610d0f200012b8a4f&utm_campaign=trueanthem&utm_content=business&utm_medium=social&utm_source=twitter
Another reason robotaxis will win https://x.com/MarceloLima/status/2084628374425596399/photo/1
Grab, Southeast Asia’s leading ride-hailing and delivery firm, raised its full-year outlook on Tuesday as it reported record second-quarter results, with resilient consumer demand across the region holding up despite macroeconomic headwinds. Grab CFO Peter Oey said on CNBC's "Squawk Box Asia," that AI has helped the company ship products more than 30% faster translating into better margins and a more efficient cost structure. Read more on CNBC: http://cnb.cx/4bnCuaU
AI is helping Grab ship products 3 times faster, CFO says, as company raises forecasts https://www.cnbc.com/2026/08/04/grab-earnings-ai-forecast-cfo-.html?taid=6a7157e1167422000186b75d&utm_campaign=trueanthem&utm_content=main&utm_medium=social&utm_source=twitter
