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Conversation: Nvidia announces new open AI models and tools for autonomous driving research Crunch

A: Hey there, any updates on tech news?
B: Not really, what's up?

A: Nvidia just announced some cool stuff! They're working on building the backbone for physical AI, like robots and self-driving cars.

B: Oh, really? What did they come up with?

A: They introduced Alpamayo-R1, an open reasoning vision language model for autonomous driving research. It's supposed to be the first of its kind!

B: That sounds interesting! What makes it special?

A: Well, visual language models can process both text and images together, so cars can "see" their surroundings and make decisions based on what they perceive. Neat, huh?

B: Wow, that could really change things. Where can we find this model?

A: It's available on GitHub and Hugging Face! Plus, Nvidia released a guide to help developers use it for their specific needs.

B: Cool, I might check it out. What else did they announce?

A: Alongside the new vision model, they also released resources like inference resources, post-training workflows, and guides to help developers better understand and utilize their Cosmos models.

B: Seems like Nvidia is really pushing into physical AI with this move.

A: Definitely! Their co-founder and CEO, Jensen Huang, said that the next wave of AI will be physical AI. And Bill Dally, their chief scientist, emphasized the importance of physical AI in robotics.

B: I can see why they're focusing on this. It sounds like a game changer!
Summary
Nvidia unveiled Alpamayo-R1, an open reasoning vision language model for autonomous driving research. This first-of-its-kind model enables AI to process and make decisions based on both text and images, a feature that could revolutionize autonomous vehicles. The model is available on GitHub and
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ID: dad859cc-9f3a-4ddd-8182-82bb5fd58faf

Category ID: conversation_summary

URL: https://techcrunch.com/2025/12/01/nvidia-announces-new-open-ai-models-and-tools-for-autonomous-driving-research/#conversation

Date: Dec. 2, 2025

Notes: 2025-12-02

Created: 2025/12/02 16:42

Updated: 2025/12/07 21:14

Last Read: 2025/12/02 17:01

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