Outro

At NVIDIA GTC, we sat down with Sanja Fidler, VP of AI Research at NVIDIA and one of the leading voices in spatial intelligence and physical AI. We dive into world models, robotics, autonomous driving, and the hard problems AI still hasn’t solved.

If you want to understand where AI goes next and what occupies the minds of the best researchers, you need to watch this video.

*In this episode:*

Why transformers and world models are not competing ideas

Why physical AI is still a major frontier

The evolution of simulation

Why 3D matters for robotics and real-world intelligence

What’s still missing in multimodal AI

Whether autonomous driving could have a “ChatGPT moment” before robotics does

If you enjoy conversations at the edge of AI research, *subscribe to Turing Post* for more interviews with the people building the future https://www.turingpost.com/

*Chapters:*

0:00 Physical AI vs Transformers — The Big Question

0:19 Introduction: NVIDIA & Spatial Intelligence Lab

0:38 Transformers vs World Models — Not a Competition

1:45 World Models as Simulators of Reality

3:20 Are New Architectures Replacing Transformers?

4:17 “Alpa Dreams” — Real-Time Interactive AI Worlds

6:22 The Evolution of Simulation in Self-Driving

7:44 From 3D Reconstruction to True World Modeling

10:26 Multimodal AI: Audio, Radar, and Physical Interaction

13:29 AGI, Robotics & the Future of Physical AI

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*Guest:*

Sanja Fidler – NVIDIA Research https://research.nvidia.com/person/sanja-fidler

University of Toronto https://www.cs.toronto.edu/~fidler/

Spatial Intelligence Lab https://research.nvidia.com/labs/sil/

Google Scholar https://scholar.google.com/citations?user=CUlqK5EAAAAJ&hl=en

X https://x.com/FidlerSanja

LinkedIn https://ca.linkedin.com/in/sanja-fidler-2846a1a

#AI #NVIDIA #SanjaFidler #WorldModels #PhysicalAI #SpatialIntelligence #Robotics #AutonomousDriving #Transformers #GTC