Nvidia bets big on physical AI at GTC Taipei with a new world model, driving brain, and open humanoid robot
Quick Answer
Nvidia unveiled its latest advancements in physical AI at GTC Taipei, featuring the Cosmos 3 world model, the Alpamayo 2 Super driving model, and an open platform for humanoid robots, aiming to enhance robotics and autonomous vehicle capabilities.
Quick Take
Nvidia unveiled its latest advancements in at GTC Taipei, featuring the Cosmos 3 world model, the Alpamayo 2 Super driving model, and an open platform for humanoid robots, aiming to enhance robotics and autonomous vehicle capabilities.
Key Points
- Cosmos 3 is a new world model designed for advanced robotics applications.
- Alpamayo 2 Super is a significantly enhanced driving model for autonomous vehicles.
- Nvidia's humanoid robot platform is open for developers to innovate.
- These advancements aim to push the boundaries of physical AI technology.
- The launch highlights Nvidia's commitment to robotics and autonomous systems.
Article Excerpt
From source RSS / original summaryNvidia used GTC Taipei to launch a series of models for robots, autonomous vehicles, and video systems. The centerpieces are the new world model Cosmos 3, a significantly scaled-up driving model called Alpamayo 2 Super, and an open reference platform for humanoid robots. The article Nvidia bets big on at GTC Taipei with a new world model, driving brain, and open humanoid robot appeared first on The Decoder.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.
