正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Meet Alpamayo 2 Super, now commercially available for robotaxis and autonomous vehicles. Built for complex real-world driving, this open reasoning model adds 360° awareness, high-level driving decisions and automated reasoning labels. We built it, so you can build on it.

NVIDIA

2,641,348 subscribers

128,590 次观看 • 7 天前 •via X (Twitter)

汽车交通科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Introducing Alpamayo 2 Super: the frontier open reasoning VLA for autonomous vehicles and robotaxis. 34B parameters. Full-surround awareness. Available for commercial use under under OpenMDW-1.1. Download now on Hugging Face →

Introducing Alpamayo 2 Super: the frontier open reasoning VLA for autonomous vehicles and robotaxis. 34B parameters. Full-surround awareness. Available for commercial use under under OpenMDW-1.1. Download now on Hugging Face →

NVIDIA DRIVE

15,173 次观看 • 7 天前

The next frontier of autonomous driving is unlocked by reasoning models. NVIDIA Alpamayo brings together open AI models with reasoning capabilities, closed-loop simulation tools, and massive real-world driving datasets. Alpamayo 1 is a vision–language–action model that explains its own decisions through explicit reasoning traces, enabling trustworthy, humanlike decision-making. Together with NVIDIA’s Physical AI dataset and AlpaSim simulation, Alpamayo provides the tools and scale required to enable level 4 autonomous vehicles. ▶️ Watch now:

The next frontier of autonomous driving is unlocked by reasoning models. NVIDIA Alpamayo brings together open AI models with reasoning capabilities, closed-loop simulation tools, and massive real-world driving datasets. Alpamayo 1 is a vision–language–action model that explains its own decisions through explicit reasoning traces, enabling trustworthy, humanlike decision-making. Together with NVIDIA’s Physical AI dataset and AlpaSim simulation, Alpamayo provides the tools and scale required to enable level 4 autonomous vehicles. ▶️ Watch now:

NVIDIA DRIVE

35,324 次观看 • 7 个月前

$NVDA CEO Jensen Huang just announced Alpamayo which he calls the world’s first thinking and reasoning model built for autonomous vehicles. By open sourcing the Alpamayo stack, Nvidia is pushing self driving forward as a category after years of work by thousands of engineers.

$NVDA CEO Jensen Huang just announced Alpamayo which he calls the world’s first thinking and reasoning model built for autonomous vehicles. By open sourcing the Alpamayo stack, Nvidia is pushing self driving forward as a category after years of work by thousands of engineers.

Shay Boloor

727,735 次观看 • 7 个月前

💨 How fast can an autonomous vehicle think? With Alpamayo 1, NVIDIA's 10B-parameter chain-of-thought reasoning model, the distilled version can reason in real time. Hear Marco Pavone (Marco Pavone), Yan Wang, Yurong You, and Wenhao Ding from our AV Research team break down Alpamayo 1 and what's next for reasoning in autonomous driving. 🔁 Watch the replay:

💨 How fast can an autonomous vehicle think? With Alpamayo 1, NVIDIA's 10B-parameter chain-of-thought reasoning model, the distilled version can reason in real time. Hear Marco Pavone (Marco Pavone), Yan Wang, Yurong You, and Wenhao Ding from our AV Research team break down Alpamayo 1 and what's next for reasoning in autonomous driving. 🔁 Watch the replay:

NVIDIA DRIVE

13,606 次观看 • 6 个月前

NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."

NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."

Sawyer Merritt

1,604,062 次观看 • 7 个月前

$NVDA launches Alpamayo 2 Super which is an open-weight autonomous-driving model that analyzes 360° footage & explains each decision The model is 3x larger than Alpamayo 1.5 & lets developers train it on proprietary fleet data before distilling it into smaller in-vehicle models

$NVDA launches Alpamayo 2 Super which is an open-weight autonomous-driving model that analyzes 360° footage & explains each decision The model is 3x larger than Alpamayo 1.5 & lets developers train it on proprietary fleet data before distilling it into smaller in-vehicle models

Shay Boloor

54,885 次观看 • 7 天前

At #CES2026, we spoke with Kai Stepper, VP of ADAS and Autonomous Driving at Lucid Motors, about their production-intent robotaxi built on the NVIDIA DRIVE Hyperion platform. He also shared why Alpamayo’s open, reasoning-based approach is an important step forward for the future of autonomous driving.

At #CES2026, we spoke with Kai Stepper, VP of ADAS and Autonomous Driving at Lucid Motors, about their production-intent robotaxi built on the NVIDIA DRIVE Hyperion platform. He also shared why Alpamayo’s open, reasoning-based approach is an important step forward for the future of autonomous driving.

NVIDIA DRIVE

13,524 次观看 • 7 个月前

NVIDIA released a video showing their new Alpamayo In-Car Reasoning Model. An AI that explains decisions, responds to passengers, and drives. How it works: • Verbalized Reasoning: In complex situations, the car selectively explains its reasoning aloud, giving passengers insight into the Al's decisions and helping to build trust. • Natural Language Q&A: Riders can ask questions about the car's behavior or the surrounding environment, and Alpamayo responds in real time. • Language Instructions and Commands: Passengers can request actions such as changing lanes, speeding up, taking a detour, or pulling over, and Alpamayo performs them naturally.

NVIDIA released a video showing their new Alpamayo In-Car Reasoning Model. An AI that explains decisions, responds to passengers, and drives. How it works: • Verbalized Reasoning: In complex situations, the car selectively explains its reasoning aloud, giving passengers insight into the Al's decisions and helping to build trust. • Natural Language Q&A: Riders can ask questions about the car's behavior or the surrounding environment, and Alpamayo responds in real time. • Language Instructions and Commands: Passengers can request actions such as changing lanes, speeding up, taking a detour, or pulling over, and Alpamayo performs them naturally.

Nic Cruz Patane

87,761 次观看 • 4 个月前

Video #2. Every day this week we are posting an hour long video of zero shot AI Driving in a different country all around the world. This time we're in Germany, driving around the rolling hills and into Stuttgart. 🇩🇪 Check it out! What matters now is scaled autonomy performance. We built our first world model in 2018. First VLA reasoning model in 2022. First generative simulator in 2023. Today we have integrated these into safe and compliant product ready for global scale. We're delighted to be partnering with the German ecosystem to bring autonomy to the rich heritage of brands. Together, we will build market-leading products for both consumer vehicles and robotaxis.

Video #2. Every day this week we are posting an hour long video of zero shot AI Driving in a different country all around the world. This time we're in Germany, driving around the rolling hills and into Stuttgart. 🇩🇪 Check it out! What matters now is scaled autonomy performance. We built our first world model in 2018. First VLA reasoning model in 2022. First generative simulator in 2023. Today we have integrated these into safe and compliant product ready for global scale. We're delighted to be partnering with the German ecosystem to bring autonomy to the rich heritage of brands. Together, we will build market-leading products for both consumer vehicles and robotaxis.

Alex Kendall

24,594 次观看 • 4 个月前

Meet the Rivian Autonomy Processor. Fast, smart, scalable and purpose-built for autonomous driving and the world of physical AI. Hitting the open road in 2026.

Meet the Rivian Autonomy Processor. Fast, smart, scalable and purpose-built for autonomous driving and the world of physical AI. Hitting the open road in 2026.

Rivian

47,614 次观看 • 8 个月前

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Whole Mars Catalog

45,324 次观看 • 7 天前

We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

Google

7,746,363 次观看 • 4 个月前

#AGIBOTAIWeek Day 3: Introducing GO-2: the next-generation foundation model for embodied AI, built to unify reasoning and action. To truly bridge “thinking” and “doing,” embodied AI must solve two challenges at once: • It generate executable action plans through deep spatial reasoning • It deliver stable execution in real-world environments GO-2 tackles both with a comprehensive architecture: Action Chain-of-Thought for action reasoning, and an Asynchronous Dual-System for robust execution. #AGIBOT #AGIBOTAIWeek #Foundation #model #EmbodiedAI Official account tags X: AGIBOT LinkedIn: agibot

#AGIBOTAIWeek Day 3: Introducing GO-2: the next-generation foundation model for embodied AI, built to unify reasoning and action. To truly bridge “thinking” and “doing,” embodied AI must solve two challenges at once: • It generate executable action plans through deep spatial reasoning • It deliver stable execution in real-world environments GO-2 tackles both with a comprehensive architecture: Action Chain-of-Thought for action reasoning, and an Asynchronous Dual-System for robust execution. #AGIBOT #AGIBOTAIWeek #Foundation #model #EmbodiedAI Official account tags X: AGIBOT LinkedIn: agibot

Hasan Toor

36,202 次观看 • 3 个月前

Is AI really 'intelligent' if it can't reason? We say no. So, we built BRAID: the first machine-native reasoning engine for AI. Now to bring it to the world; first up, OpenServ mainnet. Join us tomorrow (3pm UTC) for a TG AMA on BRAID and Q4 plans

Is AI really 'intelligent' if it can't reason? We say no. So, we built BRAID: the first machine-native reasoning engine for AI. Now to bring it to the world; first up, OpenServ mainnet. Join us tomorrow (3pm UTC) for a TG AMA on BRAID and Q4 plans

OpenServ

35,340 次观看 • 11 个月前

Most capable generalist robotics models today are closed or at best, open weights. But robotics won’t reach its ChatGPT moment without real openness. That GPT moment was built on years of open tools and datasets such as Python, PyTorch, ImageNet and more, that let researchers inspect, reproduce, and build. Today, we’re introducing MolmoAct 2: a fully open-source action reasoning model for real-world robotics. We rethought and reshaped everything! 🧵👇

Most capable generalist robotics models today are closed or at best, open weights. But robotics won’t reach its ChatGPT moment without real openness. That GPT moment was built on years of open tools and datasets such as Python, PyTorch, ImageNet and more, that let researchers inspect, reproduce, and build. Today, we’re introducing MolmoAct 2: a fully open-source action reasoning model for real-world robotics. We rethought and reshaped everything! 🧵👇

Jiafei Duan

110,330 次观看 • 3 个月前

Agents need reasoning. Crypto especially. Our partners needed an open-source, crypto-native copilot that can synthesize live market context, on-chain signals, and fundamentals without drifting. So we built SERA for exactly that.

Agents need reasoning. Crypto especially. Our partners needed an open-source, crypto-native copilot that can synthesize live market context, on-chain signals, and fundamentals without drifting. So we built SERA for exactly that.

Sentient

12,896 次观看 • 6 个月前

A big milestone for AI on Windows: gpt‑oss‑20b is now available in Windows AI Foundry and Azure AI Foundry! You can now run this open-source, frontier-class model locally on a high-performance Windows PC. It’s fast, capable, and built for real-world use. Brought to life through collaboration across Windows, Azure, and OpenAI teams. We can’t wait to see what you create. 🚀

A big milestone for AI on Windows: gpt‑oss‑20b is now available in Windows AI Foundry and Azure AI Foundry! You can now run this open-source, frontier-class model locally on a high-performance Windows PC. It’s fast, capable, and built for real-world use. Brought to life through collaboration across Windows, Azure, and OpenAI teams. We can’t wait to see what you create. 🚀

Pavan Davuluri

80,597 次观看 • 1 年前

Wraith is an autonomous EW platform built for dense, hostile and GPS-denied radio environments. It detects, identifies and pinpoints the emitters driving the fight, supplying warfighters with real-time spectrum awareness and actionable targeting information to seize control of the electromagnetic battlespace. Learn more here:

Wraith is an autonomous EW platform built for dense, hostile and GPS-denied radio environments. It detects, identifies and pinpoints the emitters driving the fight, supplying warfighters with real-time spectrum awareness and actionable targeting information to seize control of the electromagnetic battlespace. Learn more here:

CX2

10,802 次观看 • 8 个月前

NEWS: Waymo has introduced the Waymo World Model, "a frontier generative model built on Google DeepMind’s Genie 3 that sets a new bar for large-scale, hyper-realistic autonomous driving simulation." "By simulating the “impossible”, we proactively prepare the Waymo Driver for some of the most rare and complex scenarios—from tornadoes to planes landing on freeways—long before it encounters them in the real world. The model’s architecture offers high controllability, allowing our engineers to modify simulations with simple language prompts, driving inputs, and scene layouts. Notably, the Waymo World Model generates high-fidelity, multi-sensor outputs that include both camera and lidar data. This combination of broad world knowledge, fine-grained controllability, and multi-modal realism enhances Waymo’s ability to safely scale our service across more places and new driving environments. In the following sections we showcase the Waymo World Model in action, featuring simulations of the Waymo Driver navigating diverse rare edge-case scenarios." More info below.

NEWS: Waymo has introduced the Waymo World Model, "a frontier generative model built on Google DeepMind’s Genie 3 that sets a new bar for large-scale, hyper-realistic autonomous driving simulation." "By simulating the “impossible”, we proactively prepare the Waymo Driver for some of the most rare and complex scenarios—from tornadoes to planes landing on freeways—long before it encounters them in the real world. The model’s architecture offers high controllability, allowing our engineers to modify simulations with simple language prompts, driving inputs, and scene layouts. Notably, the Waymo World Model generates high-fidelity, multi-sensor outputs that include both camera and lidar data. This combination of broad world knowledge, fine-grained controllability, and multi-modal realism enhances Waymo’s ability to safely scale our service across more places and new driving environments. In the following sections we showcase the Waymo World Model in action, featuring simulations of the Waymo Driver navigating diverse rare edge-case scenarios." More info below.

Sawyer Merritt

133,168 次观看 • 6 个月前