Marco Pavone

@drmapavone

Prof @Stanford, Distinguished Research Scientist and AV research lead @nvidia. PhD from @MITAeroAstro. Robotics, autonomous systems, AI. Opinions are my own.

Stanford, CA USA

web.stanford.edu/~pavone/

Joined November 2018

Marco Pavone
@drmapavone
Aug 4
We have just released #Alpamayo 2 Super — @nvidia’s frontier open reasoning model for #autonomous #vehicles. NVIDIA Alpamayo 2 Super is an open 34-billion-parameter #reasoning vision-language-action (#VLA) model designed to accelerate autonomous vehicle (AV) development. It
Marco Pavone
@drmapavone
Aug 4
#Alpamayo 2 Super, @nvidia's frontier open reasoning model for autonomous vehicles, is now available!
Jensen Huang
@JensenHuang
Aug 4
Today, we’re launching Alpamayo 2 Super, our frontier open reasoning model for autonomous vehicles. Beyond seeing, Alpamayo understands and reasons through the complex world - thinks before it acts. It’s a powerful backbone for robotaxis, trucks, shuttles, delivery vans,
Marco Pavone
@drmapavone
Jul 26
A thoughtful letter highlighting the critical importance of open frontier models — a must-read for researchers, developers, and anyone shaping the future of AI. We built the @nvidia #Alpamayo open platform (nvidia.com/en-us/solution…) around the same philosophy: sharing
Jensen Huang
@JensenHuang
Jul 24
For my first post, I’m sharing a letter @nvidia signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
Marco Pavone
@drmapavone
Jul 10
Verification is emerging as a new scaling axis for AI! Scaling pre-training, post-training, and test-time compute have driven much of the recent progress in large language models. Our new work explores a fourth scaling axis: #verification —the ability to determine whether a
Marco Pavone
@drmapavone
Jul 2
How do we make robot policies robust to rare but high-impact failures? Video #World #Models (WMs) are rapidly becoming a powerful tool for robotics, enabling policy evaluation and improvement by "imagining" future outcomes. But there's a catch: these imagined futures are
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