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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...

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Leveraging cloud-based teacher models for offline auto labeling and distilling them down to DRIVE Thor chipsets establishes the dominant architecture pattern for physical AI deployment.

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The next frontier of autonomous driving is not just teaching machines how to move it is teaching them how to think

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$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
0:46

$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

54,954 görüntüleme • 3 ay önce

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."
2:41

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

1,605,487 görüntüleme • 10 ay önce

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 →
2:30

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

17,214 görüntüleme • 3 ay önce

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:
0:45

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 görüntüleme • 10 ay önce

$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.
2:59

$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

728,292 görüntüleme • 10 ay önce

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.
2:30

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

45,595 görüntüleme • 3 ay önce

Reasoning is the next frontier for autonomous vehicles. Matt Cragun, Director of Product Management for Autonomous Vehicles and Simulation at NVIDIA, demonstrates how the Alpamayo family of open models, simulation tools, and datasets enables AVs to perceive, reason, and act safely in complex scenarios. Learn more →
0:48

Reasoning is the next frontier for autonomous vehicles. Matt Cragun, Director of Product Management for Autonomous Vehicles and Simulation at NVIDIA, demonstrates how the Alpamayo family of open models, simulation tools, and datasets enables AVs to perceive, reason, and act safely in complex scenarios. Learn more →

NVIDIA DRIVE

24,411 görüntüleme • 10 ay önce

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.
3:44

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

87,841 görüntüleme • 7 ay önce

NVIDIA CEO Jensen Huang just announced the launch of: Alpamayo “the world's first thinking, reasoning model for autonomous vehicles”
2:18

NVIDIA CEO Jensen Huang just announced the launch of: Alpamayo “the world's first thinking, reasoning model for autonomous vehicles”

Pirat_Nation 🔴

50,683 görüntüleme • 10 ay önce

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.
1:20

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 görüntüleme • 10 ay önce

Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️
0:39

Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️

NVIDIA AI Developer

26,475 görüntüleme • 9 ay önce

NVIDIA just introduced Cosmos, a platform for world foundation models designed for robotics. ⦿ It features advanced tokenizers, an AI-accelerated data pipeline, and integration with NVIDIA Omniverse. Humanoid makers 1X, Figure, and Agility are among the first to adopt Cosmos. ⦿ Cosmos generates synthetic, physics-based data, accelerating model training and customization. ⦿ It also features a CUDA-accelerated data processing pipeline that enables developers to process, curate, and label 20 million hours of videos in 14 days using the NVIDIA Blackwell platform.
8:02

NVIDIA just introduced Cosmos, a platform for world foundation models designed for robotics. ⦿ It features advanced tokenizers, an AI-accelerated data pipeline, and integration with NVIDIA Omniverse. Humanoid makers 1X, Figure, and Agility are among the first to adopt Cosmos. ⦿ Cosmos generates synthetic, physics-based data, accelerating model training and customization. ⦿ It also features a CUDA-accelerated data processing pipeline that enables developers to process, curate, and label 20 million hours of videos in 14 days using the NVIDIA Blackwell platform.

The Humanoid Hub

129,481 görüntüleme • 1 yıl önce

💨 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:
0:33

💨 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

13,814 görüntüleme • 9 ay önce

NVIDIA sold GPUs. Now Jason Calacanis @jason says $NVDA is the frontier model in five domains, and Jensen Huang Jensen Huang did not push back. He points to Alpamayo, a reasoning-based self-driving model that needs far less training data because it reasons about situations it has not seen, instead of pattern-matching billions of hours of road footage. And a suite of biology models, ESM2, ESM Fold, AlphaFold 2, and Proteina Complexa, built for protein folding and drug discovery, because customers like Eli Lilly $LLY and Meta $META need the stack and do not have the scale to build it themselves. Our coverage separates that diversification claim from the "superintelligence already arrived" line Jensen used minutes later, follow for the read. Source: All-In Podcast -
2:41

NVIDIA sold GPUs. Now Jason Calacanis @jason says $NVDA is the frontier model in five domains, and Jensen Huang Jensen Huang did not push back. He points to Alpamayo, a reasoning-based self-driving model that needs far less training data because it reasons about situations it has not seen, instead of pattern-matching billions of hours of road footage. And a suite of biology models, ESM2, ESM Fold, AlphaFold 2, and Proteina Complexa, built for protein folding and drug discovery, because customers like Eli Lilly $LLY and Meta $META need the stack and do not have the scale to build it themselves. Our coverage separates that diversification claim from the "superintelligence already arrived" line Jensen used minutes later, follow for the read. Source: All-In Podcast -

Podcast Alpha

45,519 görüntüleme • 1 ay önce

ANTHROPIC 🔥: Claude Opus and Sonnet models will soon become available on Claude Voice Mode! The new model selector has been hidden in the UI for roughly three weeks, defaulting to Haiku regardless of the selection. Today, it changed, and now it responds via Opus and Sonnet models. The system is still built on TTS; however, it handles interruptions super well and can operate Connectors! Access to a broader range of tools makes it much more capable than what ChatGPT is offering at the moment, yet usage might become a tricky topic, at least for high-effort reasoning.
1:34

ANTHROPIC 🔥: Claude Opus and Sonnet models will soon become available on Claude Voice Mode! The new model selector has been hidden in the UI for roughly three weeks, defaulting to Haiku regardless of the selection. Today, it changed, and now it responds via Opus and Sonnet models. The system is still built on TTS; however, it handles interruptions super well and can operate Connectors! Access to a broader range of tools makes it much more capable than what ChatGPT is offering at the moment, yet usage might become a tricky topic, at least for high-effort reasoning.

🚨 AI News | TestingCatalog

107,272 görüntüleme • 3 ay önce

Cyber defense is entering the superintelligence era. ⚡ Introducing the CrowdStrike Cyber Superintelligence Lab, the first frontier AI research organization built for cyberdefense and AI safety. The Lab delivers CrowdStrike SafeMind, a family of purpose-built security models and harnesses. SafeMind runs as one system designed to deliver AI safety: an offensive model that finds the attack path, a defensive model that closes it, and the harnesses that operate both in the same loop. Built using NVIDIA Nemotron open models and using CoreWeave’s AI Cloud for training and inference, SafeMind goes beyond AI that simply identifies threats, it defeats them. Learn more:
0:27

Cyber defense is entering the superintelligence era. ⚡ Introducing the CrowdStrike Cyber Superintelligence Lab, the first frontier AI research organization built for cyberdefense and AI safety. The Lab delivers CrowdStrike SafeMind, a family of purpose-built security models and harnesses. SafeMind runs as one system designed to deliver AI safety: an offensive model that finds the attack path, a defensive model that closes it, and the harnesses that operate both in the same loop. Built using NVIDIA Nemotron open models and using CoreWeave’s AI Cloud for training and inference, SafeMind goes beyond AI that simply identifies threats, it defeats them. Learn more:

CrowdStrike

58,367 görüntüleme • 2 ay önce

What if you could hear what your car is thinking? 💭 This NVIDIA Alpamayo demo gives voice to the internal reasoning behind an autonomous drive — showing how the vehicle evaluates the road, plans its next move and adapts to city traffic while the driver enjoys the ride. Watch the demo 👉
0:21

What if you could hear what your car is thinking? 💭 This NVIDIA Alpamayo demo gives voice to the internal reasoning behind an autonomous drive — showing how the vehicle evaluates the road, plans its next move and adapts to city traffic while the driver enjoys the ride. Watch the demo 👉

NVIDIA DRIVE

43,384 görüntüleme • 5 ay önce

Jensen Huang's plan for keeping AI agents in check: a "force field." Minimal rights. Just what the job requires. Nothing more. In related news: Nvidia unveiled a two-part system Monday to enforce that at the software and hardware level. OpenShell is open-source and sits between an agent and the systems it can touch. Sentry runs on a separate BlueField chip, watches an agent's actions and reasoning, then steps in if it drifts.
0:35

Jensen Huang's plan for keeping AI agents in check: a "force field." Minimal rights. Just what the job requires. Nothing more. In related news: Nvidia unveiled a two-part system Monday to enforce that at the software and hardware level. OpenShell is open-source and sits between an agent and the systems it can touch. Sentry runs on a separate BlueField chip, watches an agent's actions and reasoning, then steps in if it drifts.

Lark Davis

38,884 görüntüleme • 1 ay önce

NVIDIA CEO Jensen Huang: Elon Musk is in a phenomenal position to lead the future of AI, autonomous vehicles, and humanoid robotics. “Collecting world data is very expensive, and Elon has a great advantage because, number one, his AI factory for his cars is fantastic, has a lot of NVIDIA gear in it, and he has a very large fleet of cars on the road that allows him to collect a lot of data. So I think he has just a phenomenal position, and he's been working on this for a long time, and so he's going to be in a great position to take advantage of it. I know Elon's attitude towards AI, and he's very optimistic about its future, and obviously he's working on some of the most important AI areas. xAI is working on foundation, cognitive intelligence AI. Tesla's working on autonomous vehicles, and Optimus is for humanoid robotics. These three areas of AI are the three most important areas.”
1:04

NVIDIA CEO Jensen Huang: Elon Musk is in a phenomenal position to lead the future of AI, autonomous vehicles, and humanoid robotics. “Collecting world data is very expensive, and Elon has a great advantage because, number one, his AI factory for his cars is fantastic, has a lot of NVIDIA gear in it, and he has a very large fleet of cars on the road that allows him to collect a lot of data. So I think he has just a phenomenal position, and he's been working on this for a long time, and so he's going to be in a great position to take advantage of it. I know Elon's attitude towards AI, and he's very optimistic about its future, and obviously he's working on some of the most important AI areas. xAI is working on foundation, cognitive intelligence AI. Tesla's working on autonomous vehicles, and Optimus is for humanoid robotics. These three areas of AI are the three most important areas.”

DogeDesigner

142,982 görüntüleme • 3 ay önce